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398 Commits

Author SHA1 Message Date
catlog22
35ffd3419e chore(release): v6.3.9 - Issue System Consistency
- Unified four-layer architecture (Schema/Agent/Command/Implementation)
- Upgraded to Rich Plan model with lifecycle fields
- Added multi-solution generation support
- Consolidated schemas (deleted redundant issue-task-jsonl-schema, solutions-jsonl-schema)
- Fixed field naming consistency (acceptance, lifecycle_status, priority mapping)
- Added search tool fallback chain to issue-plan-agent

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-27 23:57:30 +08:00
catlog22
e3223edbb1 fix(plan): Update delivery criteria terminology to acceptance.criteria 2025-12-27 23:54:00 +08:00
catlog22
a061fc1428 fix(issue-plan-agent): Update acceptance criteria terminology and enhance issue loading process with metadata 2025-12-27 23:51:30 +08:00
catlog22
0992d27523 refactor(issue-manager): Enhance queue detail item styling and update modal content 2025-12-27 23:43:40 +08:00
catlog22
5aa0c9610d fix(issue-manager): Add History button to empty queue state
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-27 23:00:17 +08:00
catlog22
7620ff703d feat(issue-manager): Add queue history modal for viewing and switching queues
- Add GET /api/queue/history endpoint to fetch all queues from index
- Add GET /api/queue/:id endpoint to fetch specific queue details
- Add POST /api/queue/switch endpoint to switch active queue
- Add History button in queue toolbar
- Add queue history modal with list view and detail view
- Add switch functionality to change active queue
- Add CSS styles for queue history components

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-27 22:56:32 +08:00
catlog22
d705a3e7d9 fix: Add active_queue_id to QueueIndex interface
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-27 22:48:38 +08:00
catlog22
726151bfea Refactor issue management commands and introduce lifecycle requirements
- Updated lifecycle requirements in issue creation to include new fields for testing, regression, acceptance, and commit strategies.
- Enhanced the planning command to generate structured output and handle multi-solution scenarios.
- Improved queue formation logic to ensure valid DAG and conflict resolution.
- Introduced a new interactive issue management skill for CRUD operations, allowing users to manage issues through a menu-driven interface.
- Updated documentation across commands to reflect changes in task structure and output requirements.
2025-12-27 22:44:49 +08:00
catlog22
b58589ddad refactor: Update issue queue structure and commands
- Changed queue structure from 'queue' to 'tasks' in various files for clarity.
- Updated CLI commands to reflect new task ID usage instead of queue ID.
- Enhanced queue management with new delete functionality for historical queues.
- Improved metadata handling and task execution tracking.
- Updated dashboard and issue manager views to accommodate new task structure.
- Bumped version to 6.3.8 in package.json and package-lock.json.
2025-12-27 22:04:15 +08:00
catlog22
2e493277a1 feat(issue-queue): Enhance task execution flow with priority handling and stuck task reset option 2025-12-27 14:43:18 +08:00
catlog22
8b19edd2de chore: bump version to 6.3.6
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-27 11:50:35 +08:00
catlog22
3e54b5f7d8 feat(issue-execute): Implement sequential task execution with detailed lifecycle and commit process 2025-12-27 11:46:18 +08:00
catlog22
4da06864f8 feat: Enhance issue and solution management with new UI components and functionality
- Added internationalization support for new issue and solution-related strings in i18n.js.
- Implemented a solution detail modal in issue-manager.js to display solution information and bind/unbind actions.
- Enhanced the skill loading function to combine project and user skills in hook-manager.js.
- Improved queue rendering logic to handle empty states and display queue statistics in issue-manager.js.
- Introduced command modals for queue operations, allowing users to generate execution queues via CLI commands.
- Added functionality to auto-generate issue IDs and regenerate them in the create issue modal.
- Implemented detailed rendering of solution tasks, including acceptance criteria and modification points.
2025-12-27 11:27:45 +08:00
catlog22
8f310339df feat(issue-management): Implement interactive issue management command with CRUD operations
- Added `/issue:manage` command for interactive issue management via CLI.
- Implemented features for listing, viewing, editing, deleting, and bulk operations on issues.
- Integrated GitHub issue fetching and text description parsing for issue creation.
- Enhanced user experience with menu-driven interface and structured output.
- Created helper functions for parsing user input and managing issue data.
- Added error handling and related command references for better usability.

feat(issue-creation): Introduce structured issue creation from GitHub URL or text description

- Added `/issue:new` command to create structured issues from GitHub issues or text descriptions.
- Implemented parsing logic for extracting key elements from issue descriptions.
- Integrated user confirmation for issue creation with options to edit title and priority.
- Ensured proper writing of issues to `.workflow/issues/issues.jsonl` with metadata.
- Included examples and error handling for various input scenarios.
2025-12-27 10:20:34 +08:00
catlog22
0157e36344 feat: add CLI Stream Viewer component for real-time output monitoring
- Implemented a new CLI Stream Viewer to display real-time output from CLI executions.
- Added state management for CLI executions, including handling of start, output, completion, and errors.
- Introduced UI rendering for stream tabs and content, with auto-scroll functionality.
- Integrated keyboard shortcuts for toggling the viewer and handling user interactions.

feat: create Issue Manager view for managing issues and execution queue

- Developed the Issue Manager view to manage issues, solutions, and execution queue.
- Implemented data loading functions for fetching issues and queue data from the API.
- Added filtering and rendering logic for issues and queue items, including drag-and-drop functionality.
- Created detail panel for viewing and editing issue details, including tasks and solutions.
2025-12-27 09:46:12 +08:00
catlog22
cdf4833977 feat(issue): implement JSONL task generation and management for issue resolution
- Added `/issue:plan` command to generate a structured task plan from GitHub issues or descriptions, including delivery and pause criteria, and a dependency graph.
- Introduced JSONL schema for task entries to enforce structure and validation.
- Developed comprehensive issue command with functionalities for initializing, listing, adding, updating, and exporting tasks.
- Implemented error handling and user feedback for various operations within the issue management workflow.
- Enhanced task management with priority levels, phase results, and executor preferences.
2025-12-26 17:21:32 +08:00
catlog22
c8a914aeca Refactor agent configurations and context gathering processes across multiple workflow tools
- Removed agent references in context-gather and test-context-gather commands for clarity.
- Updated test-task-generate to streamline agent configuration references.
- Enhanced action-planning-agent documentation by removing redundant examples.
- Adjusted execute command to eliminate direct agent path references.
- Improved context-gather documentation to clarify agent autonomy and project.json integration.
- Revised test-context-gather to focus on agent delegation and coverage analysis.
- Cleaned up test-task-generate to focus on task generation rules without direct agent references.
- Implemented automatic agent assignment based on exploration file names in deep analysis phase.
- Expanded project exploration phase to include intelligent angle selection based on software type.
- Enhanced output schemas and success criteria for exploration tasks to ensure clarity and completeness.
2025-12-26 16:20:46 +08:00
catlog22
a5ba7c0f6c feat: 更新版本号至6.3.5 2025-12-26 15:43:47 +08:00
catlog22
1cf0d92ec2 feat: 更新冲突解决文档和模式,增加输出模式和策略要求,优化JSON架构 2025-12-26 15:40:40 +08:00
catlog22
02930bd56b feat: 增强任务生成文档,添加用户配置、CLI工具选择和执行策略,优化模块依赖处理 2025-12-26 15:23:41 +08:00
catlog22
4061ae48c4 feat: Implement adaptive RRF weights and query intent detection
- Added integration tests for adaptive RRF weights in hybrid search.
- Enhanced query intent detection with new classifications: keyword, semantic, and mixed.
- Introduced symbol boosting in search results based on explicit symbol matches.
- Implemented embedding-based reranking with configurable options.
- Added global symbol index for efficient symbol lookups across projects.
- Improved file deletion handling on Windows to avoid permission errors.
- Updated chunk configuration to increase overlap for better context.
- Modified package.json test script to target specific test files.
- Created comprehensive writing style guidelines for documentation.
- Added TypeScript tests for query intent detection and adaptive weights.
- Established performance benchmarks for global symbol indexing.
2025-12-26 15:08:47 +08:00
catlog22
ecd5085e51 feat: 优化历史记录输出,增加工具使用统计和过滤提示信息 2025-12-26 12:28:48 +08:00
catlog22
6bc8b7de95 feat: 优化历史记录输出格式,增加提示信息并调整提示预览显示 2025-12-26 12:21:55 +08:00
catlog22
e79e33773f feat: 优化 CLI 历史记录输出格式,增加使用提示并规范化 sourceDir 处理 2025-12-26 12:18:52 +08:00
catlog22
0c0301d811 Refactor project analysis phases: remove diagram generation phase, enhance report generation with detailed structure and quality checks, and introduce consolidation agent for cross-module analysis. Update CLI commands to support final output options and improve history management with copy functionality. 2025-12-26 12:13:27 +08:00
catlog22
89f6ac6804 feat: Implement multi-phase project analysis workflow with Mermaid diagram generation and CPCC compliance documentation
- Phase 3: Added Mermaid diagram generation for system architecture, function modules, algorithms, class diagrams, sequence diagrams, and error flows.
- Phase 4: Assembled analysis and diagrams into a structured CPCC-compliant document with section templates and figure numbering.
- Phase 5: Developed compliance review process with iterative refinement based on analysis findings and user feedback.
- Added CPCC compliance requirements and quality standards for project analysis reports.
- Established a comprehensive project analysis skill with detailed execution flow and report types.
- Enhanced error handling and recovery mechanisms throughout the analysis phases.
2025-12-26 11:44:29 +08:00
catlog22
f14c3299bc docs: add Windows installation requirements
- Add requirements table for all platforms
- Note about better-sqlite3 native compilation
- Recommend Node.js LTS versions to avoid build issues
- Update version badge to 6.3.4

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-26 09:23:28 +08:00
catlog22
a73828b4d6 chore: bump version to 6.3.4
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 22:37:39 +08:00
catlog22
6244bf0405 feat: 更新 CLI 文档,增加背景执行后的提示信息 2025-12-25 22:35:39 +08:00
catlog22
90852c7788 feat: 移除 CLI 工具使用文档中的流式输出和缓存相关内容,简化说明 2025-12-25 22:30:09 +08:00
catlog22
3b842ed290 feat(cli-executor): add streaming option and enhance output handling
- Introduced a `stream` parameter to control output streaming vs. caching.
- Enhanced status determination logic to prioritize valid output over exit codes.
- Updated output structure to include full stdout and stderr when not streaming.

feat(cli-history-store): extend conversation turn schema and migration

- Added `cached`, `stdout_full`, and `stderr_full` fields to the conversation turn schema.
- Implemented database migration to add new columns if they do not exist.
- Updated upsert logic to handle new fields.

feat(codex-lens): implement global symbol index for fast lookups

- Created `GlobalSymbolIndex` class to manage project-wide symbol indexing.
- Added methods for adding, updating, and deleting symbols in the global index.
- Integrated global index updates into directory indexing processes.

feat(codex-lens): optimize search functionality with global index

- Enhanced `ChainSearchEngine` to utilize the global symbol index for faster searches.
- Added configuration option to enable/disable global symbol indexing.
- Updated tests to validate global index functionality and performance.
2025-12-25 22:22:31 +08:00
catlog22
673e1d117a chore: bump version to 6.3.2
- Clarify adaptive planning strategy in lite-plan.md

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 20:33:27 +08:00
catlog22
f64f619713 chore: bump version to 6.3.1
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 20:19:30 +08:00
catlog22
a742fa0f8a feat: 将 Code Index MCP 提供者的按钮更改为下拉选择框,优化用户界面 2025-12-25 20:15:15 +08:00
catlog22
6894c7e80b feat: 更新 Code Index MCP 提供者支持,修改 CLAUDE.md 和相关样式 2025-12-25 20:12:45 +08:00
catlog22
203100431b feat: 添加 Code Index MCP 提供者支持,更新相关 API 和配置 2025-12-25 19:58:42 +08:00
catlog22
e8b9bcae92 feat: Add ccw-litellm uninstall button and fix npm install path resolution
- Fix ccw-litellm path lookup for npm distribution by adding PACKAGE_ROOT
- Add uninstall button to API Settings page for ccw-litellm
- Add /api/litellm-api/ccw-litellm/uninstall endpoint

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 18:29:57 +08:00
catlog22
052351ab5b fix: 删除不再需要的 prompts.zip 文件 2025-12-25 18:17:49 +08:00
catlog22
9dd84e3416 fix: Update agent execution instructions and improve rendering layout in API settings 2025-12-25 18:13:28 +08:00
catlog22
211c25d969 fix: Use pip show for more reliable ccw-litellm detection
- Primary method: pip show ccw-litellm (most reliable)
- Fallback: Python import with simpler syntax
- Increased timeout for pip show to 10s

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:57:34 +08:00
catlog22
275684d319 fix: Load embedding pool config before rendering sidebar
Ensures the sidebar summary displays correctly on page load

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:55:05 +08:00
catlog22
0f8a47e8f6 fix: Add shell:true for Windows PATH resolution in ccw-litellm status check
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:50:00 +08:00
catlog22
303c840464 fix: Remove invalid i18n key from Embedding Pool UI
Removed 'apiSettings.configuration' heading that was showing raw key

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:43:29 +08:00
catlog22
b15008fbce feat: Enhance Embedding Pool UI with sidebar summary
- Add renderEmbeddingPoolSidebar() for config summary display
- Show status, target model, strategy, and provider stats
- Improve visual hierarchy with icon indicators
- Update sidebar rendering for embedding-pool tab

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:39:15 +08:00
catlog22
a8cf3e1ad6 feat: Refactor embedding pool sidebar rendering and always load semantic dependencies status 2025-12-25 17:36:11 +08:00
catlog22
0515ef6e8b refactor: Simplify CodexLens rotation UI, link to API Settings
- Simplify rotation section to show status only
- Add link to navigate to API Settings Embedding Pool
- Update loadRotationStatus to read from embedding-pool API
- Remove detailed modal in favor of API Settings config
- Add i18n translations for 'Configure in API Settings'

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:29:44 +08:00
catlog22
777d5df573 feat: Add aggregated endpoint for CodexLens dashboard initialization and improve loading performance 2025-12-25 17:22:42 +08:00
catlog22
c5f379ba01 fix: Force refresh ccw-litellm status on first page load
- Add isFirstApiSettingsRender flag to track first load
- Force refresh ccw-litellm status on first page load
- Add ?refresh=true query param support to backend API
- Frontend passes refresh param to bypass backend cache
- Subsequent tab switches still use cache for performance

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:18:23 +08:00
catlog22
145d38c9bd feat: Implement venv status caching with TTL and clear cache on install/uninstall 2025-12-25 17:13:07 +08:00
catlog22
eab957ce00 perf: Optimize API Settings page loading performance
- Add forceRefresh parameter to loadApiSettings() with caching
- Implement 60s TTL cache for ccwLitellmStatus check
- Tab switching now uses cached data (0 network requests)
- Clear cache after save/delete operations for data consistency
- Response time reduced from 100-500ms to <10ms on tab switch

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 17:11:58 +08:00
catlog22
b5fb077ad6 fix: Improve Embedding Pool UI styling
- Add dedicated CSS for embedding-pool-main-panel
- Style discovered providers list with proper cards
- Fix toggle switch visibility
- Add info-message component styling
- Update renderDiscoveredProviders() to use CSS classes

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 16:57:33 +08:00
catlog22
ebcbb11cb2 feat: Enhance CodexLens search functionality with new parameters and result handling
- Added search limit, content length, and extra files input fields in the CodexLens manager UI.
- Updated API request parameters to include new fields: max_content_length and extra_files_count.
- Refactored smart-search.ts to support new parameters with default values.
- Implemented result splitting logic to return both full content and additional file paths.
- Updated CLI commands to remove worker limits and allow dynamic scaling based on endpoint count.
- Introduced EmbeddingPoolConfig for improved embedding management and auto-discovery of providers.
- Enhanced search engines to utilize new parameters for fuzzy and exact searches.
- Added support for embedding single texts in the LiteLLM embedder.
2025-12-25 16:16:44 +08:00
catlog22
a1413dd1b3 feat: Unified Embedding Pool with auto-discovery
Architecture refactoring for multi-provider rotation:

Backend:
- Add EmbeddingPoolConfig type with autoDiscover support
- Implement discoverProvidersForModel() for auto-aggregation
- Add GET/PUT /api/litellm-api/embedding-pool endpoints
- Add GET /api/litellm-api/embedding-pool/discover/:model preview
- Convert ccw-litellm status check to async with 5-min cache
- Maintain backward compatibility with legacy rotation config

Frontend:
- Add "Embedding Pool" tab in API Settings
- Auto-discover providers when target model selected
- Show provider/key count with include/exclude controls
- Increase sidebar width (280px → 320px)
- Add sync result feedback on save

Other:
- Remove worker count limits (was max=32)
- Add i18n translations (EN/CN)
- Update .gitignore for .mcp.json

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 16:06:49 +08:00
catlog22
4e6ee2db25 chore: stop tracking .mcp.json (already in .gitignore) 2025-12-25 16:05:18 +08:00
catlog22
8e744597d1 feat: Implement CodexLens multi-provider embedding rotation management
- Added functions to get and update CodexLens embedding rotation configuration.
- Introduced functionality to retrieve enabled embedding providers for rotation.
- Created endpoints for managing rotation configuration via API.
- Enhanced dashboard UI to support multi-provider rotation configuration.
- Updated internationalization strings for new rotation features.
- Adjusted CLI commands and embedding manager to support increased concurrency limits.
- Modified hybrid search weights for improved ranking behavior.
2025-12-25 14:13:27 +08:00
catlog22
dfa8b541b4 fix: 修复语义依赖检测 Python 代码缩进错误
之前的 commit 3c3ce55 错误地在 checkSemanticStatus 的 Python 代码
每行前添加了一个空格,导致 Python IndentationError,使得前端
始终显示"语义搜索依赖未安装"。

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 13:21:51 +08:00
catlog22
1dc55f8811 feat(ui): 支持自定义 API 并发数 (1-32 workers)
- 添加 codexlens.concurrency 和 concurrencyHint 翻译 (中英文)
- 将 worker 下拉菜单改为数字输入框,支持 1-32 范围
- 添加 validateConcurrencyInput 输入验证函数
- 默认值 4 workers,显示推荐提示

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 13:11:51 +08:00
catlog22
501d9a05d4 fix: 修复 ModelScope API 路由 bug 导致的 Ollama 连接错误
- 添加 _sanitize_text() 方法处理以 'import' 开头的文本
- ModelScope 后端错误地将此类文本路由到本地 Ollama 端点
- 通过在文本前添加空格绕过路由检测,不影响嵌入质量
- 增强 embedding_manager.py 的重试逻辑和错误处理
- 在 commands.py 中成功生成后调用全局模型锁定

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-25 12:52:43 +08:00
catlog22
229d51cd18 feat: 添加全局模型锁定功能,防止不同模型混合使用,增强嵌入生成的稳定性 2025-12-25 11:20:05 +08:00
catlog22
40e61b30d6 feat: 添加多端点支持和负载均衡功能,增强 LiteLLM 嵌入管理 2025-12-25 11:01:08 +08:00
catlog22
3c3ce55842 feat: 添加对 LiteLLM 嵌入后端的支持,增强并发 API 调用能力 2025-12-24 22:20:13 +08:00
catlog22
e3e61bcae9 feat: Enhance LiteLLM integration and CLI management
- Added token estimation and batching functionality in LiteLLMEmbedder to handle large text inputs efficiently.
- Updated embed method to support max_tokens_per_batch parameter for better API call management.
- Introduced new API routes for managing custom CLI endpoints, including GET, POST, PUT, and DELETE methods.
- Enhanced CLI history component to support source directory context for native session content.
- Improved error handling and logging in various components for better debugging and user feedback.
- Added internationalization support for new API endpoint features in the i18n module.
- Updated CodexLens CLI commands to allow for concurrent API calls with a max_workers option.
- Enhanced embedding manager to track model information and handle embeddings generation more robustly.
- Added entry points for CLI commands in the package configuration.
2025-12-24 18:01:26 +08:00
catlog22
dfca4d60ee feat: 添加 LiteLLM 嵌入后端支持及相关配置选项 2025-12-24 16:41:04 +08:00
catlog22
e671b45948 feat: Enhance configuration management and embedding capabilities
- Added JSON-based settings management in Config class for embedding and LLM configurations.
- Introduced methods to save and load settings from a JSON file.
- Updated BaseEmbedder and its subclasses to include max_tokens property for better token management.
- Enhanced chunking strategy to support recursive splitting of large symbols with improved overlap handling.
- Implemented comprehensive tests for recursive splitting and chunking behavior.
- Added CLI tools configuration management for better integration with external tools.
- Introduced a new command for compacting session memory into structured text for recovery.
2025-12-24 16:32:27 +08:00
catlog22
b00113d212 feat: Enhance embedding management and model configuration
- Updated embedding_manager.py to include backend parameter in model configuration.
- Modified model_manager.py to utilize cache_name for ONNX models.
- Refactored hybrid_search.py to improve embedder initialization based on backend type.
- Added backend column to vector_store.py for better model configuration management.
- Implemented migration for existing database to include backend information.
- Enhanced API settings implementation with comprehensive provider and endpoint management.
- Introduced LiteLLM integration guide detailing configuration and usage.
- Added examples for LiteLLM usage in TypeScript.
2025-12-24 14:03:59 +08:00
catlog22
9b926d1a1e docs: Sync README_CN.md with English version
- Add Smithery badge
- Update project description to match English (JSON-driven multi-agent framework)
- Change installation from script to npm install (recommended)
- Minor text adjustments for consistency

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-24 14:03:45 +08:00
catlog22
98c9f1a830 fix: Add api-settings to server.ts MODULE_FILES array
server.ts has a duplicate MODULE_FILES/MODULE_CSS_FILES array separate
from dashboard-generator.ts. The api-settings files were missing from
this duplicate list, causing renderApiSettings to be undefined.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 21:14:27 +08:00
catlog22
46ac591fe8 Merge branch 'main' of https://github.com/catlog22/Claude-Code-Workflow 2025-12-23 20:46:01 +08:00
catlog22
bf66b095c7 feat: Add unified LiteLLM API management with dashboard UI and CLI integration
- Create ccw-litellm Python package with AbstractEmbedder and AbstractLLMClient interfaces
- Add BaseEmbedder abstraction and factory pattern to codex-lens for pluggable backends
- Implement API Settings dashboard page for provider credentials and custom endpoints
- Add REST API routes for CRUD operations on providers and endpoints
- Extend CLI with --model parameter for custom endpoint routing
- Integrate existing context-cache for @pattern file resolution
- Add provider model registry with predefined models per provider type
- Include i18n translations (en/zh) for all new UI elements

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 20:36:32 +08:00
catlog22
5228581324 feat: Add context_cache MCP tool with simplified CLI options
Add context_cache MCP tool for caching files by @patterns:
- pattern-parser.ts: Parse @expressions using glob
- context-cache-store.ts: In-memory cache with TTL/LRU
- context-cache.ts: MCP tool with pack/read/status/release/cleanup

Simplify CLI cache options:
- --cache now uses comma-separated format instead of JSON
- Items starting with @ are patterns, others are text content
- Add --inject-mode option (none/full/progressive)
- Default: codex=full, gemini/qwen=none

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 19:54:05 +08:00
catlog22
c9c704e671 Merge pull request #42 from rhyme227/fix/cross-platform-path-handling
fix(hooks): correct cross-platform path handling in getProjectSettingsPath
2025-12-23 18:49:35 +08:00
catlog22
16d4c7c646 feat: 增加写模式协议的提示结构 2025-12-23 18:49:04 +08:00
catlog22
39056292b7 feat: Add CodexLens Manager to dashboard and enhance GPU management
- Introduced a new CodexLens Manager item in the dashboard for easier access.
- Implemented GPU management commands in the CLI, including listing available GPUs, selecting a specific GPU, and resetting to automatic detection.
- Enhanced the embedding generation process to utilize GPU resources more effectively, including batch size optimization for better performance.
- Updated the embedder to support device ID options for GPU selection, ensuring compatibility with DirectML and CUDA.
- Added detailed logging and error handling for GPU detection and selection processes.
- Updated package version to 6.2.9 and added comprehensive documentation for Codex Agent Execution Protocol.
2025-12-23 18:35:30 +08:00
rhyme
87ffd283ce fix(hooks): correct cross-platform path handling in getProjectSettingsPath
Remove incorrect path separator conversion that caused directory creation
issues on Linux/WSL platforms. The function was converting forward slashes
to backslashes, which are treated as literal filename characters on Unix
systems rather than path separators.

Changes:
- Remove manual path normalization in getProjectSettingsPath()
- Rely on Node.js path.join() for cross-platform compatibility
- Fix affects both hooks-routes.ts and mcp-routes.ts

Impact:
- Linux/WSL: Fixes incorrect directory creation
- Windows: No behavior change, maintains correct functionality

Fixes project-level hook settings being saved to wrong location when
using Dashboard frontend on Linux/WSL systems.
2025-12-23 17:58:33 +08:00
catlog22
8eb42816f1 Merge pull request #40 from rhyme227/fix/cache-manager-esm-compatibility
fix(core): replace require() with ESM imports in cache-manager
2025-12-23 16:36:31 +08:00
rhyme
ebdf64c0b9 fix(core): replace require() with ESM imports in cache-manager
Remove CommonJS require() calls that caused \"require is not defined\"
errors when scanning .workflow directories in ESM context.

Changes:
- Add unlinkSync and readdirSync to fs import statement
- Replace require('fs').unlinkSync() with direct unlinkSync() call
- Replace require('fs').readdirSync() with direct readdirSync() call

Fixes: Cannot scan directory .workflow/active: require is not defined

File: ccw/src/core/cache-manager.ts
2025-12-23 15:33:29 +08:00
catlog22
caab5f476e Merge pull request #39 from rhyme227/fix/codexlens-model-cache-detection
fix(codexlens): correct fastembed 0.7.4 cache path and download trigger
2025-12-23 15:23:13 +08:00
rhyme
1998f3ae8a fix(codexlens): correct fastembed 0.7.4 cache path and download trigger
- Update cache path to ~/.cache/huggingface (HuggingFace Hub default)
- Fix model path format: models--{org}--{model}
- Add .embed() call to trigger actual download in download_model()
- Ensure cross-platform compatibility (Linux/Windows)
2025-12-23 14:51:08 +08:00
catlog22
5ff2a43b70 bump version to 6.2.9 2025-12-23 10:28:48 +08:00
catlog22
3cd842ca1a fix: ccw package.json removal - add root build script and fix cli.ts path resolution
- Fix cli.ts loadPackageInfo() to try root package.json first (../../package.json)
- Add build script and devDependencies to root package.json
- Remove ccw/package.json and ccw/package-lock.json (no longer needed)
- CodexLens: add config.json support for index_dir configuration

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 10:25:15 +08:00
catlog22
86cefa7bda bump version to 6.2.8 in package.json and package-lock.json 2025-12-23 09:49:55 +08:00
catlog22
fdac697f6e refactor: 移除 ccw/package.json 文件并更新路径引用 2025-12-23 09:47:07 +08:00
catlog22
8203d690cb fix: CodexLens model detection, hybrid search stability, and JSON logging
- Fix model installation detection using fastembed ONNX cache names
- Add embeddings_config table for model metadata tracking
- Fix hybrid search segfault by using single-threaded GPU mode
- Suppress INFO logs in JSON mode to prevent error display
- Add model dropdown filtering to show only installed models

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-22 21:49:10 +08:00
catlog22
cf58dc0dd3 bump version to 6.2.6 in package.json 2025-12-22 20:17:38 +08:00
catlog22
6a69af3bf1 feat: 更新嵌入批处理大小至 256,以优化性能并提高 GPU 加速效率 2025-12-22 17:55:05 +08:00
catlog22
acdfbb4644 feat: Enhance CodexLens with GPU support and semantic status improvements
- Added accelerator and providers fields to SemanticStatus interface.
- Updated checkSemanticStatus function to retrieve ONNX providers and accelerator type.
- Introduced detectGpuSupport function to identify available GPU modes (CUDA, DirectML).
- Modified installSemantic function to support GPU acceleration modes and clean up ONNX Runtime installations.
- Updated package requirements in PKG-INFO for semantic-gpu and semantic-directml extras.
- Added new source files for GPU support and enrichment functionalities.
- Updated tests to cover new features and ensure comprehensive testing.
2025-12-22 17:42:26 +08:00
catlog22
72f24bf535 feat: 更新版本号至 6.2.4,添加 GPU 加速支持和相关依赖 2025-12-22 14:15:36 +08:00
catlog22
ba23244876 feat: 更新版本号至 6.2.2,并添加 dist 目录到文件列表 2025-12-22 12:06:59 +08:00
catlog22
624f9f18b4 feat: 更新项目名称和版本号,提升版本管理清晰度 2025-12-22 10:29:32 +08:00
catlog22
17002345c9 feat: 更新钩子模板检查逻辑,支持基于唯一模式的命令匹配;在搜索元数据中添加回退模式字段 2025-12-22 10:25:53 +08:00
catlog22
f3f2051c45 feat: 优化项目和全局配置的获取逻辑,添加Codex配置支持 2025-12-22 10:16:58 +08:00
catlog22
e60d793c8c fix: 修复 SmartSearch 的 ripgrep limit 和 FTS 分词器问题
- Ripgrep 模式: 添加总结果数量限制,防止返回超过 2MB 数据
  - --max-count 只限制每个文件的匹配数,现在在收集结果时应用 limit
  - 达到限制时在 metadata 中添加 warning 提示

- FTS 分词器: 将点号(.)添加到 tokenchars,修复 PortRole.FLOW 等带点号标识符的精确搜索
  - 更新 dir_index.py 和 migration_004_dual_fts.py 中的 tokenize 配置
  - 需要重建索引才能生效

- Exact 模式: 添加 fuzzy 回退,当精确搜索无结果时自动尝试模糊搜索
  - 回退时在 metadata 中标注 fallback: 'fuzzy'

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-22 09:50:29 +08:00
catlog22
7ecc64614a feat: include codex-lens Python package in npm distribution
- Add codex-lens/src/codexlens/ to package.json files
- Add codex-lens/pyproject.toml for pip install
- Update .npmignore to exclude Python cache and dev files
- Enables ccw view CodexLens installation from npm package

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-22 08:41:55 +08:00
catlog22
0311237db2 chore: release v6.2.0 with 122 commits
- Updated CHANGELOG.md with comprehensive 6.2.0 release notes
- Bump version to 6.2.0 in package.json
- 62 new features, 17 bug fixes, 11 refactors, 6 performance optimizations

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 23:59:29 +08:00
catlog22
11d8187258 feat: 添加取消索引和检查索引状态的API,优化CodexLens的用户体验 2025-12-21 23:52:46 +08:00
catlog22
fc4a9af0cb feat: 引入流式生成器以优化内存使用,改进嵌入生成过程 2025-12-21 23:47:29 +08:00
catlog22
fa64e11a77 refactor: 优化嵌入生成过程,调整批处理大小和内存管理策略 2025-12-21 23:37:34 +08:00
catlog22
210f0f1012 feat: 添加钩子命令,简化 Claude Code 钩子操作接口,支持会话上下文加载和通知功能 2025-12-21 23:28:19 +08:00
catlog22
6d3f10d1d7 feat: 增加文件读取功能的行分页支持,优化智能搜索的多词查询匹配 2025-12-21 21:45:04 +08:00
catlog22
09483c9f07 feat: 添加智能代码清理命令,支持主线检测和过时工件发现 2025-12-21 21:10:55 +08:00
catlog22
2871950ab8 fix: 修复向量索引进度显示过早完成的问题
问题:FTS 索引完成后立即显示 100%,但嵌入生成仍在后台运行

修复:
- codex-lens.ts: 将 "Indexed X files" 阶段从 complete 改为 fts_complete (60%)
- codex-lens.ts: 添加嵌入批次和 Finalizing index 阶段解析
- embedding_manager.py: 使用 bulk_insert() 模式延迟 ANN 索引构建
- embedding_manager.py: 添加 "Finalizing index" 进度回调

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 20:55:45 +08:00
catlog22
5849f751bc fix: 修复嵌入生成内存泄漏,优化性能
- HNSW 索引:预分配从 100 万降至 5 万,添加动态扩容和可控保存
- Embedder:添加 embed_to_numpy() 避免 .tolist() 转换,增强缓存清理
- embedding_manager:每 10 批次重建 embedder 实例,显式 gc.collect()
- VectorStore:添加 bulk_insert() 上下文管理器,支持 numpy 批量写入
- Chunker:添加 skip_token_count 轻量模式,使用 char/4 估算(~9x 加速)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 19:15:47 +08:00
catlog22
45f92fe066 feat: 实现 MCP 工具集中式路径验证,增强安全性和可配置性
- 新增 path-validator.ts:参考 MCP filesystem 服务器设计的集中式路径验证器
  - 支持 CCW_PROJECT_ROOT 和 CCW_ALLOWED_DIRS 环境变量配置
  - 多层路径验证:绝对路径解析 → 沙箱检查 → 符号链接验证
  - 向后兼容:未设置环境变量时回退到 process.cwd()

- 更新所有 MCP 工具使用集中式路径验证:
  - write-file.ts: 使用 validatePath()
  - edit-file.ts: 使用 validatePath({ mustExist: true })
  - read-file.ts: 使用 validatePath() + getProjectRoot()
  - smart-search.ts: 使用 getProjectRoot()
  - core-memory.ts: 使用 getProjectRoot()

- MCP 服务器启动时输出项目根目录和允许目录信息

- MCP 管理界面增强:
  - CCW Tools 安装卡片新增路径设置 UI
  - 支持 CCW_PROJECT_ROOT 和 CCW_ALLOWED_DIRS 配置
  - 添加"使用当前项目"快捷按钮
  - 支持 Claude 和 Codex 两种模式
  - 添加中英文国际化翻译

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 18:14:06 +08:00
catlog22
f492f4839a refactor: 移除 CLI 中过宽的异常捕获
- 移除所有 16 个 except Exception 块
- 只保留对特定异常的捕获 (StorageError, ConfigError, SearchError 等)
- 允许未知异常自然传播,便于调试
- 保留嵌入功能的可选异常处理

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 17:19:54 +08:00
catlog22
fa81793bea refactor: 优化异常处理,使用 cached_property 替代 property,增强代码可读性;添加 RelationshipType 枚举以规范化关系类型 2025-12-21 17:01:49 +08:00
catlog22
c12ef3e772 feat: 优化 core_memory MCP 工具,支持跨项目导出和精简列表输出
- 新增 findMemoryAcrossProjects 函数,支持按 CMEM-xxx ID 跨所有项目搜索记忆
- export 操作增强:当前项目找不到时自动搜索所有项目数据库
- list 操作优化:返回精简格式,preview 截断为 100 字符,减少输出体积

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 16:39:45 +08:00
catlog22
6eebdb8898 fix: 修复额外的内存泄露问题
1. hybrid_search.py: 修复 _search_vector 方法中的 SQLite 连接泄露
   - 使用 with 语句包装数据库连接
   - 添加异常处理确保连接正确关闭

2. symbol_extractor.py: 添加上下文管理器支持
   - 实现 __enter__ 和 __exit__ 方法
   - 支持 with 语句自动管理资源

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 16:39:38 +08:00
catlog22
3e9a309079 refactor: 移除图索引功能,修复内存泄露,优化嵌入生成
主要更改:

1. 移除图索引功能 (graph indexing)
   - 删除 graph_analyzer.py 及相关迁移文件
   - 移除 CLI 的 graph 命令和 --enrich 标志
   - 清理 chain_search.py 中的图查询方法 (370行)
   - 删除相关测试文件

2. 修复嵌入生成内存问题
   - 重构 generate_embeddings.py 使用流式批处理
   - 改用 embedding_manager 的内存安全实现
   - 文件从 548 行精简到 259 行 (52.7% 减少)

3. 修复内存泄露
   - chain_search.py: quick_search 使用 with 语句管理 ChainSearchEngine
   - embedding_manager.py: 使用 with 语句管理 VectorStore
   - vector_store.py: 添加暴力搜索内存警告

4. 代码清理
   - 移除 Symbol 模型的 token_count 和 symbol_type 字段
   - 清理相关测试用例

测试: 760 passed, 7 skipped

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 16:22:03 +08:00
catlog22
15d5890861 feat: 更新 stopCommand 函数以确保进程正常退出;优化 MCP 路由序列化以支持嵌套对象;添加 CSS 类以实现文本行数限制 2025-12-21 12:47:25 +08:00
catlog22
89b3475508 feat: 更新 CodexLens 路由处理,保持总大小一致性并添加完整索引目录大小 2025-12-21 11:02:07 +08:00
catlog22
6e301538ed feat: 调整导航项字体大小,提升可读性和视觉一致性 2025-12-21 10:53:25 +08:00
catlog22
c3a31f2c5d feat: 优化 CLI 通知逻辑,确保进程在通知后能正常退出;增强侧边栏导航项的层级可视化 2025-12-21 10:37:29 +08:00
catlog22
559b1e02a7 feat: 增加 CLI 通知的超时设置,优化执行工具的会话跟踪逻辑 2025-12-21 10:02:36 +08:00
catlog22
9e4412c7a8 Add workflow execution prompts for task management
- Introduced `execute.md` for sequential task execution from session folder with detailed execution rules, task tracking, and error handling.
- Added `lite-execute.md` for lightweight task execution from a JSON plan file, emphasizing serial execution and dependency management.
2025-12-21 09:52:30 +08:00
catlog22
6dab38172f feat: 增强 CSS 布局,优化组件的灵活性和响应式设计;更新调试和轻量级计划工作流文档 2025-12-21 09:36:56 +08:00
catlog22
f1ee46e1ac feat: 优化文件管理器的加载体验,异步加载新鲜度数据并添加加载状态指示 2025-12-20 23:46:11 +08:00
catlog22
775928456d feat: 增强会话管理功能,添加会话状态跟踪和进程披露,优化钩子管理界面 2025-12-20 23:14:07 +08:00
catlog22
fd4a15c84e fix: improve chunking logic in Chunker class and enhance smart search tool with comprehensive features
- Updated the Chunker class to adjust the window movement logic, ensuring proper handling of overlap lines.
- Introduced a new smart search tool with features including intent classification, CodexLens integration, multi-backend search routing, and index status checking.
- Implemented various search modes (auto, hybrid, exact, ripgrep, priority) with detailed metadata and error handling.
- Added support for progress tracking during index initialization and enhanced output transformation based on user-defined modes.
- Included comprehensive documentation for usage and parameters in the smart search tool.
2025-12-20 21:44:15 +08:00
catlog22
be725ce21f chore: 删除不再使用的 reindex 和测试脚本 2025-12-20 17:34:26 +08:00
catlog22
fa31552cc1 fix: Use manifest-based cleanup for clean install
- Clean only files recorded in installation manifest
- Backup only manifest-recorded files instead of entire directories
- Skip cleanup when no manifest exists (first install or manual)
- Preserve user settings (settings.json, settings.local.json)
- Remove unused directory-based cleanup functions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 17:12:53 +08:00
catlog22
a3ccf5baed fix: Refactor installation process for improved cleanup and backup handling 2025-12-20 16:52:15 +08:00
catlog22
8c6225b749 docs: Add dashboard operation guides
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 16:16:14 +08:00
catlog22
89e77c0089 docs: Update documentation and CLI command improvements
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 16:15:35 +08:00
catlog22
b27d8a9570 feat: Add CLAUDE.md freshness tracking and update reminders
- Add SQLite table and CRUD methods for tracking update history
- Create freshness calculation service based on git file changes
- Add API endpoints for freshness data, marking updates, and history
- Display freshness badges in file tree (green/yellow/red indicators)
- Show freshness gauge and details in metadata panel
- Auto-mark files as updated after CLI sync
- Add English and Chinese i18n translations

Freshness algorithm: 100 - min((changedFilesCount / 20) * 100, 100)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 16:14:46 +08:00
catlog22
4a3ff82200 fix: Align semantic status check with CodexLens checkSemanticStatus
- Use checkSemanticStatus() from codex-lens.ts instead of isEmbedderAvailable()
- Returns accurate detection of fastembed installation status
- Fix install guide link to navigate to CLI Manager and open CodexLens config
- Update i18n: "Install Guide" -> "Go to Settings" (EN/ZH)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:51:50 +08:00
catlog22
bfbab44756 docs: Improve MCP tool descriptions for clarity and completeness
- smart_search: Condense verbose description from 40 to 12 lines while preserving key usage examples
- write_file: Add missing createDirectories parameter documentation
- edit_file: Clarify update/line mode naming and add batch edit examples

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:46:24 +08:00
catlog22
4458af83d8 feat: Upgrade to version 6.2.0 with major enhancements
- Updated COMMAND_SPEC.md to reflect new version and features including native CodexLens and CLI refactor.
- Revised GETTING_STARTED.md and GETTING_STARTED_CN.md for improved onboarding experience with new features.
- Enhanced INSTALL_CN.md to highlight the new CodexLens and Dashboard capabilities.
- Updated README.md and README_CN.md to showcase version 6.2.0 features and breaking changes.
- Introduced memory embedder scripts with comprehensive documentation and quick reference.
- Added test suite for memory embedder functionality to ensure reliability and correctness.
- Implemented TypeScript integration examples for memory embedder usage.
2025-12-20 13:16:09 +08:00
catlog22
6b62b5b5a9 feat: Add embedding status hint in clustering UI
- Add embedding status check API endpoints (embed-status, embed)
- Display embedding hint in cluster list view:
  - Warning when vector model not installed
  - Progress indicator when embeddings pending
  - Generate button for quick embedding
- Add i18n translations (EN/ZH)
- Add CSS styles for embedding hint components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:15:25 +08:00
catlog22
31cc060837 feat: Add vector embeddings for core memory semantic search
- Add memory_chunks table for storing chunked content with embeddings
- Create Python embedder script (memory_embedder.py) using CodexLens fastembed
- Add TypeScript bridge (memory-embedder-bridge.ts) for Python interop
- Implement content chunking with paragraph/sentence-aware splitting
- Add vectorSimilarity dimension to clustering (weight 0.3)
- New CLI commands: ccw memory embed, search, embed-status
- Extend core-memory MCP tool with embed/search/embed_status operations

Clustering improvement: max relevance 0.388 → 0.809 (+109%)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-20 13:09:43 +08:00
catlog22
ea284d739a feat: Add cluster management commands for deletion, merging, and deduplication 2025-12-20 12:23:08 +08:00
catlog22
ab06ed0083 feat: Enhance session clustering with new CLI options and adjust clustering threshold 2025-12-20 11:41:28 +08:00
catlog22
4de4db3c69 feat: Implement executor assignment and clustering optimizations for session management 2025-12-20 11:29:16 +08:00
catlog22
e1cac5dd50 Refactor search modes and optimize embedding generation
- Updated the dashboard template to hide the Code Graph Explorer feature.
- Enhanced the `executeCodexLens` function to use `exec` for better cross-platform compatibility and improved command execution.
- Changed the default `maxResults` and `limit` parameters in the smart search tool to 10 for better performance.
- Introduced a new `priority` search mode in the smart search tool, replacing the previous `parallel` mode, which now follows a fallback strategy: hybrid -> exact -> ripgrep.
- Optimized the embedding generation process in the embedding manager by batching operations and using a cached embedder instance to reduce model loading overhead.
- Implemented a thread-safe singleton pattern for the embedder to improve performance across multiple searches.
2025-12-20 11:08:34 +08:00
catlog22
7adde91e9f feat: Add search result grouping by similarity score
Add functionality to group search results with similar content and scores
into a single representative result with additional locations.

Changes:
- Add AdditionalLocation entity model for storing grouped result locations
- Add additional_locations field to SearchResult for backward compatibility
- Implement group_similar_results() function in ranking.py with:
  - Content-based grouping (by excerpt or content field)
  - Score-based sub-grouping with configurable threshold
  - Metadata preservation with grouped_count tracking
- Add group_results and grouping_threshold options to SearchOptions
- Integrate grouping into ChainSearchEngine.search() after RRF fusion

Test coverage:
- 36 multi-level tests covering unit, boundary, integration, and performance
- Real-world scenario tests for RRF scores and duplicate code detection

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-19 16:33:44 +08:00
catlog22
3428642d04 feat: Optimize FTS search with batch symbol fetching and improved excerpt generation 2025-12-19 15:35:31 +08:00
catlog22
2f0cce0089 feat: Enhance CodexLens indexing and search capabilities with new CLI options and improved error handling 2025-12-19 15:10:37 +08:00
catlog22
c7ced2bfbb feat(ccw): Add count-based memory update strategy and fix MCP card click
- Add count-based update strategy for memory hooks (threshold-based triggering)
- Add threshold config field (default: 10, range: 3-50)
- Add i18n translations for count-based strategy (EN/ZH)
- Fix MCP card click not responding due to HTML entity encoding in JSON
- Add unescapeHtml() utility function for decoding HTML entities
- Move stopPropagation from container div to individual buttons
- Change CCW MCP install to use cmd /c npx -y format for Windows

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-19 11:41:21 +08:00
catlog22
69049e3f45 feat: Return complete method blocks in FTS search results
- Add helper methods to locate match lines and find containing symbols
- Modify search_fts, search_fts_exact, search_fts_fuzzy to return complete
  code blocks (functions/methods/classes) instead of short snippets
- Join with files table to get full content and file_id
- Query symbols table to find the smallest symbol containing the match
- Fall back to context lines when no symbol contains the match
- Add return_full_content and context_lines parameters for flexibility
- Include start_line, end_line, symbol_name, symbol_kind in SearchResult

This improves search result quality by returning semantically meaningful
code blocks rather than arbitrary 20-byte snippets.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-19 11:38:39 +08:00
catlog22
e17e9a6473 feat: Enhance memory compact output format for better session recovery
- Add Session ID and Project Root fields for workflow tracking
- Split Active Files into Working Files (modified) and Reference Files (read-only)
- Use absolute paths for all file references
- Support multiple plan sources: workflow/todo/user-stated/inferred
- Preserve complete execution plan verbatim without summarization
- Add path resolution rules and reference file categories
- Update quality checklist with new validation criteria

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-19 11:00:07 +08:00
catlog22
5e91ba6c60 Implement ANN index using HNSW algorithm and update related tests
- Added ANNIndex class for approximate nearest neighbor search using HNSW.
- Integrated ANN index with VectorStore for enhanced search capabilities.
- Updated test suite for ANN index, including tests for adding, searching, saving, and loading vectors.
- Modified existing tests to accommodate changes in search performance expectations.
- Improved error handling for file operations in tests to ensure compatibility with Windows file locks.
- Adjusted hybrid search performance assertions for increased stability in CI environments.
2025-12-19 10:35:29 +08:00
catlog22
9f6e6852da feat: Add core memory clustering visualization and hooks configuration
- Implemented core memory clustering visualization in core-memory-clusters.js
- Added functions for loading, rendering, and managing clusters and their members
- Created example hooks configuration in hooks-config-example.json for session management
- Developed test script for hooks integration in test-hooks.js
- Included error handling and notifications for user interactions
2025-12-18 23:06:58 +08:00
catlog22
68f9de0c69 refactor: Replace knowledge graph with session clustering system
Remove legacy knowledge graph and evolution tracking features,
introduce new session clustering model for Core Memory.

Changes:
- Remove knowledge_graph, knowledge_graph_edges, evolution_history tables
- Add session_clusters, cluster_members, cluster_relations tables
- Add session_metadata_cache for metadata caching
- Add new interfaces: SessionCluster, ClusterMember, ClusterRelation, SessionMetadataCache
- Add CRUD methods for cluster management
- Add session metadata upsert and search methods
- Remove extractKnowledgeGraph, getKnowledgeGraph, trackEvolution methods
- Remove API routes for /knowledge-graph, /evolution, /graph
- Add database migration to clean up old tables
- Update generateClusterId() for CLST-* ID format

Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 19:21:52 +08:00
catlog22
17af615fe2 Add help view and core memory styles
- Introduced styles for the help view including tab transitions, accordion animations, search highlighting, and responsive design.
- Implemented core memory styles with modal base styles, memory card designs, and knowledge graph visualization.
- Enhanced dark mode support across various components.
- Added loading states and empty state designs for better user experience.
2025-12-18 18:29:45 +08:00
catlog22
4577be71ce feat: Add notification system for core memory view with animations 2025-12-18 15:28:14 +08:00
catlog22
0311d63b7d feat: Enhance graph exploration with file and module filtering options 2025-12-18 14:58:20 +08:00
catlog22
440314c16d feat: Enhance CLI resume functionality with usage guidance and multi-session merge
- Add resume usage timing guidance (multi-round planning, multi-model collaboration)
- Document multi-session merge capability with --resume <id1>,<id2> syntax
- Improve CLI prompt validation to allow resume without explicit prompt
- Streamline documentation by removing redundant examples and model details

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-18 14:35:01 +08:00
catlog22
8dd4a513c8 Refactor CLI command usage from ccw cli exec to ccw cli -p for improved prompt handling
- Updated command patterns across documentation and templates to reflect the new CLI syntax.
- Enhanced CLI tool implementation to support reading prompts from files and multi-line inputs.
- Modified core components and views to ensure compatibility with the new command structure.
- Adjusted help messages and internationalization strings to align with the updated command format.
- Improved error handling and user notifications in the CLI execution flow.
2025-12-18 14:12:45 +08:00
catlog22
e096fc98e2 feat: Implement core memory management with knowledge graph and evolution tracking
- Added core-memory.js and core-memory-graph.js for managing core memory views and visualizations.
- Introduced functions for viewing knowledge graphs and evolution history of memories.
- Implemented modal dialogs for creating, editing, and viewing memory details.
- Developed core-memory.ts for backend operations including list, import, export, and summary generation.
- Integrated Zod for parameter validation in core memory operations.
- Enhanced UI with dynamic rendering of memory cards and detailed views.
2025-12-18 10:07:29 +08:00
catlog22
4329bd8e80 fix: Add run_in_background=false to all agent Task invocations
Ensure all agent executions wait for results before proceeding.
Modified 20 workflow command files with 32 Task call updates.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 10:00:22 +08:00
catlog22
ae07df612d feat: Increase indexing timeout to 30 minutes for large codebases
- /api/codexlens/init: 5min → 30min
- smart-search init action: 5min → 30min
- executeInitWithProgress: 5min → 30min
- executeCodexLens default: 1min → 5min

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 09:48:55 +08:00
catlog22
d5d6f1fbbe feat: Replace modal with bottom floating progress bar for indexing
- Fixed bottom progress bar appears during CodexLens index init
- Shows spinner, status text, percentage, and progress bar
- Green success state with checkmark on completion
- Red error state with alert icon on failure
- Auto-dismisses after 3 seconds on success
- Added console logging for debugging WebSocket events
- Slide-down animation when closing

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 09:33:19 +08:00
catlog22
b9d068d6d4 feat: Add real-time progress output for MCP init action
- MCP server outputs progress to stderr during smart_search init
- Progress format: [Progress] {percent}% - {message}
- Does not interfere with JSON-RPC protocol (stdout)
- Added executeInitWithProgress for external progress callback
- Added executeToolWithProgress to tools/index.ts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-18 00:05:32 +08:00
catlog22
48ac43d628 fix: Add cleanup of obsolete files during ccw install reinstallation
- Add getFileReferenceCounts() to track file references across manifests
- Add cleanupOldFiles() to remove files not in new installation
- Protect shared files referenced by other installations (Global/Path)
- Display cleanup statistics in installation summary

Previously, reinstalling would only overwrite existing files but leave
obsolete files that were removed from source. Now properly cleans up
while protecting files shared between Global and Path installations.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:47:49 +08:00
catlog22
79da2c8c17 refactor: Remove redundant schema details, let planning agent read schema independently
- Remove detailed plan.json structure from prompt (agent reads schema file)
- Clarify execution steps: agent reads schema first, then explores and generates
- Remove ambiguous "Execute CLI planning using Gemini" step

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:36:41 +08:00
catlog22
6aac7bb8e3 refactor: Replace exact deduplication with intelligent intent-based merging in lite-plan
Simplify clarification question deduplication to use Claude's native intelligence
for identifying similar intents and merging questions across exploration angles.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:17:27 +08:00
catlog22
51a61bef31 Add parallel search mode and index progress bar
Features:
- CCW smart_search: Add 'parallel' mode that runs hybrid + exact + ripgrep
  simultaneously with RRF (Reciprocal Rank Fusion) for result merging
- Dashboard: Add real-time progress bar for CodexLens index initialization
- MCP: Return progress metadata in init action response
- Codex-lens: Auto-detect optimal worker count for parallel indexing

Changes:
- smart-search.ts: Add parallel mode, RRF fusion, progress tracking
- codex-lens.ts: Add onProgress callback support, progress parsing
- codexlens-routes.ts: Broadcast index progress via WebSocket
- codexlens-manager.js: New index progress modal with real-time updates
- notifications.js: Add WebSocket event handler registration system
- i18n.js: Add English/Chinese translations for progress UI
- index_tree.py: Workers parameter now auto-detects CPU count (max 16)
- commands.py: CLI --workers parameter supports auto-detection

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 23:17:15 +08:00
catlog22
44d84116c3 Revert: Remove ccw session management while keeping ccw cli exec
Selectively revert ccw session management commands back to commit 5114a94,
while preserving ccw cli exec improvements.

Changes:
- Session management commands (start, list, resume, complete): Full revert to bash commands
- execute.md: Full revert (only had ccw session changes)
- review.md: Reverted ccw session read, kept ccw cli exec
- docs.md: Reverted ccw session read/write, kept ccw cli exec
- lite-fix.md: Reverted ccw session init/read, kept other changes
- lite-plan.md: Reverted ccw session init/read, kept other changes
- lite-execute.md: No changes (kept ccw cli exec intact)
- code-developer.md: No changes (kept ccw cli exec intact)

All ccw session management operations replaced with bash commands.
All ccw cli exec commands preserved for unified CLI execution.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-17 22:52:12 +08:00
catlog22
474a1ce027 fix: Correct Exa MCP tool call syntax in context-requirements
- Change exa() to mcp__exa__search() for correct MCP invocation
- Add complete parameter documentation (query, numResults, livecrawl)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 22:25:50 +08:00
catlog22
b22839c99f fix: Resolve MCP installation issues and enhance path resolution
- Fixed API endpoint mismatches in mcp-manager.js to ensure global install/update buttons function correctly.
- Corrected undefined function references in mcp-manager.js for project installation.
- Refactored event handling to eliminate global scope pollution in mcp-manager.js.
- Added comprehensive debugging guide for MCP installation issues.
- Implemented a session path resolver to infer content types from filenames and paths, improving usability.
- Introduced tests for embeddings improvements in init and status commands to verify functionality.
2025-12-17 22:05:16 +08:00
catlog22
8b927f302c Fix MCP Manager panel - 13 critical issues resolved
Issues fixed:
1. API endpoint mismatch (/api/mcp-add-global-server)
2. Undefined function reference (installMcpToProject → copyMcpServerToProject)
3. Inline onclick handler scope issues (converted to data-action)
4. querySelector only finding first element (use querySelectorAll)
5. Path normalization causing wrong MCP badge count
6. Lucide icons destroying event listeners (reordered execution)
7. Codex button JSON serialization syntax error
8. Codex API routes 404 (add /api/codex-mcp route matching)
9. False warning suppression for conditional buttons
10. HTML syntax error from JSON in onclick attributes
11. CSS z-index issue - ::before pseudo-element blocking clicks
12. Navigation badge path matching (try both slash formats)
13. Remove deprecated codex_lens tool (merged into smart_search)

Key changes:
- server.ts: Add /api/codex-mcp route matching
- 15-mcp-manager.css: Add pointer-events:none to ::before, z-index for buttons
- components/mcp-manager.js: Fix updateMcpBadge path matching, global exports
- views/mcp-manager.js: Convert onclick to data-action, add event listeners,
  update CCW_MCP_TOOLS list, fix JSON escaping in HTML attributes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 19:23:39 +08:00
catlog22
c16da759b2 Fix session management location inference and ccw command usage
This commit addresses multiple issues in session management and command documentation:

Session Management Fixes:
- Add auto-inference of location from type parameter in session.ts
- When --type lite-plan/lite-fix is specified, automatically set location accordingly
- Preserve explicit --location parameter when provided
- Update session-manager.ts to support type-based location inference
- Fix metadata filename selection (session-metadata.json vs workflow-session.json)

Command Documentation Fixes:
- Add missing --mode analysis parameter (3 locations):
  * commands/memory/docs.md
  * commands/workflow/lite-execute.md (2 instances)
- Add missing --mode write parameter (4 locations):
  * commands/workflow/tools/task-generate-agent.md
- Remove non-existent subcommands (3 locations):
  * commands/workflow/session/complete.md (manifest, project)
- Update session command syntax to use simplified format:
  * Changed from 'ccw session manifest read' to 'test -f' checks
  * Changed from 'ccw session project read' to 'test -f' checks

Documentation Updates:
- Update lite-plan.md and lite-fix.md to use --type parameter
- Update session/start.md to document lite-plan and lite-fix types
- Sync all fixes to skills/command-guide/reference directory (84 files)

All ccw command usage across the codebase is now consistent and correct.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-17 18:09:23 +08:00
catlog22
74a830694c Fix CodexLens embeddings generation to achieve 100% coverage
Previously, embeddings were only generated for root directory files (1.6% coverage, 5/303 files).
This fix implements recursive processing across all subdirectory indexes, achieving 100% coverage
with 2,042 semantic chunks across all 303 files in 26 index databases.

Key improvements:

1. **Recursive embeddings generation** (embedding_manager.py):
   - Add generate_embeddings_recursive() to process all _index.db files in directory tree
   - Add get_embeddings_status() for comprehensive coverage statistics
   - Add discover_all_index_dbs() helper for recursive file discovery

2. **Enhanced CLI commands** (commands.py):
   - embeddings-generate: Add --recursive flag for full project coverage
   - init: Use recursive generation by default for complete indexing
   - status: Display embeddings coverage statistics with 50% threshold

3. **Smart search routing improvements** (smart-search.ts):
   - Add 50% embeddings coverage threshold for hybrid mode routing
   - Auto-fallback to exact mode when coverage insufficient
   - Strip ANSI color codes from JSON output for correct parsing
   - Add embeddings_coverage_percent to IndexStatus and SearchMetadata
   - Provide clear warnings with actionable suggestions

4. **Documentation and analysis**:
   - Add SMART_SEARCH_ANALYSIS.md with initial investigation
   - Add SMART_SEARCH_CORRECTED_ANALYSIS.md revealing true extent of issue
   - Add EMBEDDINGS_FIX_SUMMARY.md with complete fix summary
   - Add check_embeddings.py script for coverage verification

Results:
- Coverage improved from 1.6% (5/303 files) to 100% (303/303 files) - 62.5x increase
- Semantic chunks increased from 10 to 2,042 - 204x increase
- All 26 subdirectory indexes now have embeddings vs just 1

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-17 17:54:33 +08:00
catlog22
d06a3ca12e Add comprehensive workflows for CLI tools usage, coding philosophy, context requirements, file modification, and CodexLens auto hybrid mode
- Introduced a detailed guide for intelligent tools selection strategy, including quick reference, tool specifications, prompt templates, and best practices for CLI execution.
- Established a coding philosophy document outlining core beliefs, simplicity principles, and guidelines for effective coding practices.
- Created context requirements documentation emphasizing the importance of understanding existing patterns and dependencies before implementation.
- Developed a file modification workflow detailing the use of edit_file and write_file MCP tools, along with priority logic for file reading and editing.
- Implemented CodexLens auto hybrid mode, enhancing the CLI with automatic vector embedding generation and default hybrid search mode based on embedding availability.
2025-12-17 09:53:30 +08:00
catlog22
154a9283b5 Add internationalization support for help view and implement help rendering logic
- Introduced `help-i18n.js` for managing translations in Chinese and English for the help view.
- Created `help.js` to render the help view, including command categories, workflow diagrams, and CodexLens quick-start.
- Implemented search functionality with debounce for command filtering.
- Added workflow diagram rendering with Cytoscape.js integration.
- Developed tests for write-file verification, ensuring proper handling of small and large JSON files.
2025-12-16 22:24:29 +08:00
catlog22
b702791c2c Remove LLM enhancement features and related components as per user request. This includes the deletion of source code files, CLI commands, front-end components, tests, scripts, and documentation associated with LLM functionality. Simplified dependencies and reduced complexity while retaining core vector search capabilities. Validation of changes confirmed successful removal and functionality. 2025-12-16 21:38:27 +08:00
catlog22
d21066c282 Add scripts for inspecting LLM summaries and testing misleading comments
- Implement `inspect_llm_summaries.py` to display LLM-generated summaries from the semantic_chunks table in the database.
- Create `show_llm_analysis.py` to demonstrate LLM analysis of misleading code examples, highlighting discrepancies between comments and actual functionality.
- Develop `test_misleading_comments.py` to compare pure vector search with LLM-enhanced search, focusing on the impact of misleading or missing comments on search results.
- Introduce `test_llm_enhanced_search.py` to provide a test suite for evaluating the effectiveness of LLM-enhanced vector search against pure vector search.
- Ensure all new scripts are integrated with the existing codebase and follow the established coding standards.
2025-12-16 20:29:28 +08:00
catlog22
df23975a0b Add comprehensive tests for schema cleanup migration and search comparison
- Implement tests for migration 005 to verify removal of deprecated fields in the database schema.
- Ensure that new databases are created with a clean schema.
- Validate that keywords are correctly extracted from the normalized file_keywords table.
- Test symbol insertion without deprecated fields and subdir operations without direct_files.
- Create a detailed search comparison test to evaluate vector search vs hybrid search performance.
- Add a script for reindexing projects to extract code relationships and verify GraphAnalyzer functionality.
- Include a test script to check TreeSitter parser availability and relationship extraction from sample files.
2025-12-16 19:27:05 +08:00
catlog22
3da0ef2adb Add comprehensive tests for query parsing and Reciprocal Rank Fusion
- Implemented tests for the QueryParser class, covering various identifier splitting methods (CamelCase, snake_case, kebab-case), OR expansion, and FTS5 operator preservation.
- Added parameterized tests to validate expected token outputs for different query formats.
- Created edge case tests to ensure robustness against unusual input scenarios.
- Developed tests for the Reciprocal Rank Fusion (RRF) algorithm, including score computation, weight handling, and result ranking across multiple sources.
- Included tests for normalization of BM25 scores and tagging search results with source metadata.
2025-12-16 10:20:19 +08:00
catlog22
35485bbbb1 feat: Enhance navigation and cleanup for graph explorer view
- Added a cleanup function to reset the state when navigating away from the graph explorer.
- Updated navigation logic to call the cleanup function before switching views.
- Improved internationalization by adding new translations for graph-related terms.
- Adjusted icon sizes for better UI consistency in the graph explorer.
- Implemented impact analysis button functionality in the graph explorer.
- Refactored CLI tool configuration to use updated model names.
- Enhanced CLI executor to handle prompts correctly for codex commands.
- Introduced code relationship storage for better visualization in the index tree.
- Added support for parsing Markdown and plain text files in the symbol parser.
- Updated tests to reflect changes in language detection logic.
2025-12-15 23:11:01 +08:00
catlog22
894b93e08d feat(graph-explorer): implement interactive code relationship visualization with Cytoscape.js
- Added main render function to initialize the graph explorer view.
- Implemented data loading functions for graph nodes, edges, and search process data.
- Created UI layout with tabs for graph view and search process view.
- Developed filtering options for nodes and edges with corresponding UI elements.
- Integrated Cytoscape.js for graph visualization, including node and edge styling.
- Added functionality for node selection and details display.
- Implemented impact analysis feature with modal display for results.
- Included utility functions for refreshing data and managing UI states.
2025-12-15 19:35:18 +08:00
catlog22
97640a517a feat(storage): implement storage manager for centralized management and cleanup
- Added a new Storage Manager component to handle storage statistics, project cleanup, and configuration for CCW centralized storage.
- Introduced functions to calculate directory sizes, get project storage stats, and clean specific or all storage.
- Enhanced SQLiteStore with a public API for executing queries securely.
- Updated tests to utilize the new execute_query method and validate storage management functionalities.
- Improved performance by implementing connection pooling with idle timeout management in SQLiteStore.
- Added new fields (token_count, symbol_type) to the symbols table and adjusted related insertions.
- Enhanced error handling and logging for storage operations.
2025-12-15 17:39:38 +08:00
catlog22
ee0886fc48 feat: 更新工作流执行文档,增强任务跟踪和状态映射规则 2025-12-15 15:16:16 +08:00
catlog22
0fe16963cd Add comprehensive tests for tokenizer, performance benchmarks, and TreeSitter parser functionality
- Implemented unit tests for the Tokenizer class, covering various text inputs, edge cases, and fallback mechanisms.
- Created performance benchmarks comparing tiktoken and pure Python implementations for token counting.
- Developed extensive tests for TreeSitterSymbolParser across Python, JavaScript, and TypeScript, ensuring accurate symbol extraction and parsing.
- Added configuration documentation for MCP integration and custom prompts, enhancing usability and flexibility.
- Introduced a refactor script for GraphAnalyzer to streamline future improvements.
2025-12-15 14:36:09 +08:00
catlog22
82dcafff00 feat: 添加工作流执行文档,支持从会话文件夹顺序执行任务 2025-12-15 14:32:08 +08:00
catlog22
3ffb907a6f feat: add semantic graph design for static code analysis
- Introduced a comprehensive design document for a Code Semantic Graph aimed at enhancing static analysis capabilities.
- Defined the architecture, core components, and implementation steps for analyzing function calls, data flow, and dependencies.
- Included detailed specifications for nodes and edges in the graph, along with database schema for storage.
- Outlined phases for implementation, technical challenges, success metrics, and application scenarios.
2025-12-15 09:47:18 +08:00
catlog22
d91477ad80 feat: Implement CLAUDE.md Manager View with file tree, viewer, and metadata actions
- Added main JavaScript functionality for CLAUDE.md management including file loading, rendering, and editing capabilities.
- Created a test HTML file to validate the functionality of the CLAUDE.md manager.
- Introduced CLI generation examples and documentation for rules creation via CLI.
- Enhanced error handling and notifications for file operations.
2025-12-14 23:08:36 +08:00
catlog22
0529b57694 Implement database migration framework and performance optimizations
- Added active memory configuration for manual interval and Gemini tool.
- Created file modification rules for handling edits and writes.
- Implemented migration manager for managing database schema migrations.
- Added migration 001 to normalize keywords into separate tables.
- Developed tests for validating performance optimizations including keyword normalization, path lookup, and symbol search.
- Created validation script to manually verify optimization implementations.
2025-12-14 18:08:32 +08:00
catlog22
79a2953862 Add comprehensive tests for vector/semantic search functionality
- Implement full coverage tests for Embedder model loading and embedding generation
- Add CRUD operations and caching tests for VectorStore
- Include cosine similarity computation tests
- Validate semantic search accuracy and relevance through various queries
- Establish performance benchmarks for embedding and search operations
- Ensure edge cases and error handling are covered
- Test thread safety and concurrent access scenarios
- Verify availability of semantic search dependencies
2025-12-14 17:17:09 +08:00
catlog22
8d542b8e45 fix(ccw): prevent settings.json fields from being overwritten by hook operations
readSettingsFile() in hooks-routes and mcp-routes was returning { hooks: {} }
as default value when file not found or parse failed, causing writeFileSync()
to overwrite other fields (mcpServers, projects, statusLine) in settings.json.

Changed default return to {} to preserve all existing fields when updating hooks.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-14 16:17:40 +08:00
catlog22
ac9060ab3a fix(codex-lens): refine CLI exception handling with specific error types
Replace overly broad `except Exception` blocks with specific exception
handlers (StorageError, ConfigError, ParseError, SearchError, PermissionError)
across all CLI commands. This provides more precise error messages and
improves debugging experience for end users.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-14 16:10:59 +08:00
catlog22
1c9716e460 fix(ccw): only cache positive tool availability results
Fixes CLI tool detection failure after server restart.

The previous caching implementation cached negative results (errors,
timeouts) which caused persistent failures if the first check failed
for any transient reason (environment, timing, etc.).

Changes:
- Only cache positive tool availability results
- Don't cache errors or timeouts - they may be transient
- Subsequent checks will retry if a tool wasn't found

This ensures that once a tool is found, lookups are fast, but
transient failures don't persist in the cache.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-14 12:16:48 +08:00
catlog22
7e70e4c299 perf(ccw): optimize I/O operations and add caching layer
Performance Optimizations:

1. Async I/O Operations (data-aggregator.ts, session-scanner.ts):
   - Replace sync fs operations with fs/promises
   - Parallelize file reads with Promise.all()
   - Add concurrency limiting to prevent overwhelming system
   - Non-blocking event loop during aggregation

2. Data Caching Layer (cache-manager.ts):
   - New CacheManager<T> class for dashboard data caching
   - File timestamp tracking for change detection
   - TTL-based expiration (5 minutes default)
   - Automatic invalidation when files change
   - Cache location: .workflow/.ccw-cache/

3. CLI Executor Optimization (cli-executor.ts):
   - Tool availability caching with 5-minute TTL
   - Avoid repeated process spawning for where/which checks
   - Memory cache for frequently checked tools

Expected Performance Improvements:
- Data aggregation: 10x-50x faster with async I/O
- Cache hits: <5ms vs 200-500ms (40-100x improvement)
- CLI tool checks: <1ms cached vs 200-500ms

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-14 12:11:29 +08:00
catlog22
ac43cf85ec feat: Implement Skills Manager View and Notifier Module
- Added `skills-manager.js` for managing Claude Code skills with functionalities for loading, displaying, and editing skills.
- Introduced a Notifier module in `notifier.ts` for CLI to server communication, enabling notifications for UI updates on data changes.
- Created comprehensive documentation for the Chain Search implementation, including usage examples and performance tips.
- Developed a test suite for the Chain Search engine, covering basic search, quick search, symbol search, and files-only search functionalities.
2025-12-14 11:12:48 +08:00
catlog22
08dc0a0348 perf(codex-lens): optimize search performance with vectorized operations
Performance Optimizations:
- VectorStore: NumPy vectorized cosine similarity (100x+ faster)
  - Cached embedding matrix with pre-computed norms
  - Lazy content loading for top-k results only
  - Thread-safe cache invalidation
- SQLite: Added PRAGMA mmap_size=30GB for memory-mapped I/O
- FTS5: unicode61 tokenizer with tokenchars='_' for code identifiers
- ChainSearch: files_only fast path skipping snippet generation
- ThreadPoolExecutor: shared pool across searches

New Components:
- DirIndexStore: single-directory index with FTS5 and symbols
- RegistryStore: global project registry with path mappings
- PathMapper: source-to-index path conversion utility
- IndexTreeBuilder: hierarchical index tree construction
- ChainSearchEngine: parallel recursive directory search

Test Coverage:
- 36 comprehensive search functionality tests
- 14 performance benchmark tests
- 296 total tests passing (100% pass rate)

Benchmark Results:
- FTS5 search: 0.23-0.26ms avg (3900-4300 ops/sec)
- Vector search: 1.05-1.54ms avg (650-955 ops/sec)
- Full semantic: 4.56-6.38ms avg per query

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-14 11:06:24 +08:00
catlog22
90adef6cfb docs: clarify CodexLens action parameter requirements
Add clearer documentation for each action:
- search/search_files: requires query parameter
- symbol: no query, extracts all symbols from file

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-14 10:31:22 +08:00
catlog22
d4499cc6d7 refactor: replace Code Index MCP with native CCW CodexLens
Migrate all Code Index MCP references to CCW's built-in CodexLens tool:
- Update context-search-agent with codex_lens API calls
- Update test-context-search-agent with new search patterns
- Update memory/load command file discovery reference
- Update context-gather and task-generate-tdd MCP capabilities
- Update INSTALL docs to reflect CodexLens as built-in feature
- Sync all mirrored files in skills/command-guide/reference/

Old API (mcp__code-index__*) → New API (mcp__ccw-tools__codex_lens)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-14 10:26:12 +08:00
catlog22
958cf290e2 feat: add insights history feature with UI and backend support
- Implemented insights history section in the dashboard with cards displaying analysis results.
- Added CSS styles for insights cards, detail panel, and empty state.
- Enhanced i18n support for insights-related strings in English and Chinese.
- Developed backend methods for saving, retrieving, and deleting insights in the CLI history store.
- Integrated insights loading and rendering logic in the memory view.
- Added functionality to refresh insights and handle detail view interactions.
2025-12-14 09:48:02 +08:00
catlog22
d3a522f3e8 feat: add support for Claude CLI tool and enhance memory features
- Added new CLI tool "Claude" with command handling in cli-executor.ts.
- Implemented session discovery for Claude in native-session-discovery.ts.
- Enhanced memory view with active memory controls, including sync functionality and configuration options.
- Introduced zoom and fit view controls for memory graph visualization.
- Updated i18n.js for new memory-related translations.
- Improved error handling and migration for CLI history store.
2025-12-13 22:44:42 +08:00
catlog22
52935d4b8e feat: Implement resume strategy engine and session content parser
- Added `resume-strategy.ts` to determine optimal resume approaches including native, prompt concatenation, and hybrid modes.
- Introduced `determineResumeStrategy` function to evaluate various resume scenarios.
- Created utility functions for building context prefixes and formatting outputs in plain, YAML, and JSON formats.
- Added `session-content-parser.ts` to parse native CLI tool session files supporting Gemini/Qwen JSON and Codex JSONL formats.
- Implemented parsing logic for different session formats, including error handling for invalid lines.
- Provided functions to format conversations and extract user-assistant pairs from parsed sessions.
2025-12-13 20:29:19 +08:00
catlog22
32217f87fd feat(dashboard): CLI settings UI and Smart Context support
- Add CLI Settings section with Prompt Format selector
- Add Smart Context toggle and Max Files dropdown
- Update smart-search with output_mode (full/files_only/count)
- Add smart-context module for keyword extraction
- Improve Status page styling (remove card wrappers)
- Add i18n translations for new settings

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-13 17:28:39 +08:00
catlog22
675aff26ff feat(mcp): add read_file tool and simplify edit/write returns
- edit_file: truncate diff to 15 lines, compact result format
- write_file: return only path/bytes/message
- read_file: new tool with multi-file, directory, regex support
  - paths: single file, array, or directory
  - pattern: glob filter (*.ts)
  - contentPattern: regex content search
  - maxDepth, maxFiles, includeContent options
- Update tool-strategy.md documentation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-13 17:28:03 +08:00
catlog22
029384c427 feat: Implement SQLite storage for CLI execution history
- Introduced a new SQLite-based storage backend for managing CLI execution history.
- Added `CliHistoryStore` class to handle conversation records and turns with efficient queries.
- Migrated existing JSON history files to the new SQLite format.
- Updated CLI executor to use asynchronous and synchronous methods for saving and loading conversations.
- Enhanced execution history retrieval with support for filtering by tool, status, and search terms.
- Added prompt concatenation utilities to build multi-turn prompts in various formats (plain, YAML, JSON).
- Implemented batch deletion of conversations and improved error handling for database operations.
2025-12-13 14:53:53 +08:00
catlog22
37417caca2 feat(docs): clarify template requirements and fallback options in CLI execution guidelines 2025-12-13 14:29:23 +08:00
catlog22
8f58e4e48a feat(cli): update command patterns to use CCW CLI for analysis tasks 2025-12-13 14:24:37 +08:00
catlog22
68c872ad36 refactor(agents): make cli-lite-planning-agent generic for both workflows
- Update cli-lite-planning-agent to serve both lite-plan and lite-fix
- Add schema-driven output (plan-json-schema or fix-plan-json-schema)
- Support both explorations (lite-plan) and diagnoses (lite-fix) context
- Remove CLI execution ID planning from lite-plan.md and lite-fix.md
- Delegate CLI execution ID assignment to agent when user selects CLI execution

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-13 14:15:47 +08:00
catlog22
c780544792 feat(cli): add support for custom execution IDs and multi-turn conversations
- Introduced `--id <id>` option in CLI for custom execution IDs.
- Enhanced CLI command handling to support multi-turn conversations.
- Updated execution and conversation detail retrieval to accommodate new structure.
- Implemented merging of multiple conversations with tracking of source IDs.
- Improved history management to save and load conversation records.
- Added styles for displaying multi-turn conversation details in the dashboard.
- Refactored existing execution detail functions for backward compatibility.
2025-12-13 14:03:24 +08:00
catlog22
23e15e479e fix(cli-executor): update stdin prompt variable for CLI tool execution 2025-12-13 12:15:07 +08:00
catlog22
684618e72b feat: integrate session resume functionality into CLI commands and documentation 2025-12-13 12:09:32 +08:00
catlog22
93d3df1e08 feat: add task queue sidebar and resume functionality for CLI sessions
- Implemented task queue sidebar for managing active tasks with filtering options.
- Added functionality to close notification sidebar when opening task queue.
- Enhanced CLI history view to support resuming previous sessions with optional prompts.
- Updated CLI executor to handle resuming sessions for Codex, Gemini, and Qwen tools.
- Introduced utility functions for finding CLI history directories recursively.
- Improved task queue data management and rendering logic.
2025-12-13 11:51:53 +08:00
catlog22
335f5e9ec6 fix(ccw): correct template paths for TypeScript build
Fix paths from dist/core/ to src/templates/ since templates are not
compiled and remain in src directory.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-13 10:45:59 +08:00
catlog22
30e9ae0153 Refactor workflow session commands to utilize ccw CLI for session management
- Updated session completion process to use `ccw session` commands for listing, reading, and updating session statuses.
- Enhanced session listing command to provide metadata and statistics using `ccw session list` and `ccw session stats`.
- Streamlined session resume functionality with `ccw session` commands for checking status and updating session state.
- Improved session creation process by replacing manual directory and metadata handling with `ccw session init`.
- Introduced `session_manager` tool for simplified session operations, including listing, updating, and archiving sessions.
- Updated conflict resolution tools to generate structured output in `conflict-resolution.json` instead of markdown files.
- Enhanced TDD and UI design tools to utilize `ccw cli exec` for executing analysis commands, improving integration with the workflow.
2025-12-13 10:45:03 +08:00
catlog22
25ac862f46 feat(ccw): migrate backend to TypeScript
- Convert 40 JS files to TypeScript (CLI, tools, core, MCP server)
- Add Zod for runtime parameter validation
- Add type definitions in src/types/
- Keep src/templates/ as JavaScript (dashboard frontend)
- Update bin entries to use dist/
- Add tsconfig.json with strict mode
- Add backward-compatible exports for tests
- All 39 tests passing

Breaking changes: None (backward compatible)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-13 10:43:15 +08:00
catlog22
d4e59770d0 feat: Add CCW MCP server and tools integration
- Introduced `ccw-mcp` command for running CCW tools as an MCP server.
- Updated `package.json` to include new MCP dependencies and scripts.
- Enhanced CLI with new options for `codex_lens` tool.
- Implemented MCP server logic to expose CCW tools via Model Context Protocol.
- Added new tools and updated existing ones for better functionality and documentation.
- Created quick start and full documentation for MCP server usage.
- Added tests for MCP server functionality to ensure reliability.
2025-12-13 09:14:57 +08:00
catlog22
15122b9ebb fix(mcp): support same-name MCP servers with different configs
- Add getMcpConfigHash() to generate unique config fingerprints
- Modify getAllAvailableMcpServers() to differentiate same-name servers
  with different configurations using name@project-folder suffix
- Update renderAvailableServerCard() to show source project info and
  use originalName for correct installation
- Fix event handlers to use btn.dataset for event bubbling safety
- Add CCW Tools MCP installation with npx for cross-platform compatibility

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-12 23:20:34 +08:00
catlog22
a41e6d19fd Refactor code structure for improved readability and maintainability 2025-12-12 22:02:23 +08:00
catlog22
e879ec7189 feat(dashboard): optimize CCW Endpoint Tools display with card grid and detail modal 2025-12-12 20:01:55 +08:00
catlog22
4faa5f1c95 Add comprehensive tests for semantic chunking and search functionality
- Implemented tests for the ChunkConfig and Chunker classes, covering default and custom configurations.
- Added tests for symbol-based chunking, including single and multiple symbols, handling of empty symbols, and preservation of line numbers.
- Developed tests for sliding window chunking, ensuring correct chunking behavior with various content sizes and configurations.
- Created integration tests for semantic search, validating embedding generation, vector storage, and search accuracy across a complex codebase.
- Included performance tests for embedding generation and search operations.
- Established tests for chunking strategies, comparing symbol-based and sliding window approaches.
- Enhanced test coverage for edge cases, including handling of unicode characters and out-of-bounds symbol ranges.
2025-12-12 19:55:35 +08:00
catlog22
c42f91a7fe feat: Add support for Tree-Sitter parsing and enhance SQLite storage performance 2025-12-12 18:40:24 +08:00
catlog22
92d2085b64 Optimize SQLite FTS storage and pooling 2025-12-12 17:40:03 +08:00
catlog22
6a39f7e69d Refactor code structure for improved readability and maintainability 2025-12-12 16:27:37 +08:00
catlog22
dfa8dbc52a feat: Enhance CLI tools and history management
- Added CLI Manager and CLI History views to the navigation.
- Implemented rendering for CLI tools with detailed status and actions.
- Introduced a new CLI History view to display execution history with search and filter capabilities.
- Added hooks for managing and displaying available SKILLs in the Hook Manager.
- Created modals for Hook Wizards and Template View for better user interaction.
- Implemented semantic search dependency checks and installation functions in CodexLens.
- Updated dashboard layout to accommodate new features and improve user experience.
2025-12-12 16:26:49 +08:00
catlog22
a393601ec5 feat(codexlens): add CodexLens code indexing platform with incremental updates
- Add CodexLens Python package with SQLite FTS5 search and tree-sitter parsing
- Implement workspace-local index storage (.codexlens/ directory)
- Add incremental update CLI command for efficient file-level index refresh
- Integrate CodexLens with CCW tools (codex_lens action: update)
- Add CodexLens Auto-Sync hook template for automatic index updates on file changes
- Add CodexLens status card in CCW Dashboard CLI Manager with install/init buttons
- Add server APIs: /api/codexlens/status, /api/codexlens/bootstrap, /api/codexlens/init

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-12 15:02:32 +08:00
catlog22
b74a90b416 Refactor code structure for improved readability and maintainability 2025-12-12 11:19:58 +08:00
catlog22
77de8d857b feat: 添加冲突解决模式的JSON架构,支持冲突检测与解决 2025-12-12 09:21:05 +08:00
catlog22
76c1745269 refactor(task-generate-agent): optimize N+1 parallel planning prompts
- Phase 2B: Add structured agent prompt with TASK OBJECTIVE, MODULE SCOPE,
  SESSION PATHS, CONTEXT METADATA, CROSS-MODULE DEPENDENCIES sections
- Phase 3: Convert from function calls to agent invocation with complete
  prompt structure for IMPL_PLAN.md and TODO_LIST.md generation
- Align prompt structure with Phase 2A (Single Agent) for consistency
- Reference agent specification for template details instead of inline docs
- Add dependency resolution algorithm for CROSS:: placeholder resolution

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 23:49:40 +08:00
catlog22
811382775d feat: Implement fuzzy search functionality in smart-search.js
- Added buildFuzzyRegex function for approximate matching.
- Enhanced buildRipgrepCommand to support fuzzy parameter.
- Updated executeAutoMode to handle fuzzy search case.
- Implemented executeFuzzyMode for executing fuzzy search using ripgrep.
- Refactored import and export parsing functions for better modularity.
- Improved dependency graph building and circular dependency detection.
- Added caching mechanism for dependency graph to optimize performance.
2025-12-11 23:28:35 +08:00
catlog22
e8f1caa219 feat: Enhance CLI components with icons and improve file editing capabilities
- Added icons to the CLI History and CLI Tools headers for better UI representation.
- Updated CLI Status component to include tool-specific classes for styling.
- Refactored CCW Install Panel to improve layout and functionality, including upgrade and uninstall buttons.
- Enhanced the edit-file tool with new features:
  - Support for creating parent directories when writing files.
  - Added dryRun mode for previewing changes without modifying files.
  - Implemented a unified diff output for changes made.
  - Enabled multi-edit support in update mode.
- Introduced a new Smart Search Tool with multiple search modes (auto, exact, fuzzy, semantic, graph) and intent classification.
- Created a Write File Tool to handle file creation and overwriting with backup options.
2025-12-11 23:06:47 +08:00
catlog22
15c5cd5f6e refactor(notifications): 优化JSON格式化函数,增强可读性和错误处理 2025-12-11 21:33:37 +08:00
catlog22
766a8d2145 feat: Enhance global notifications with localStorage persistence and clear functionality
feat: Implement generic modal functions for better UI consistency

feat: Update navigation titles for CLI Tools view

feat: Add JSON formatting for notification details in CLI execution

feat: Introduce localStorage handling for global notification queue

feat: Expand CLI Manager view to include CCW installations with carousel

feat: Add CCW installation management with modal for user interaction

fix: Improve event delegation for explorer tree item interactions

refactor: Clean up CLI Tools section in dashboard HTML

feat: Add functionality to delete CLI execution history by ID
2025-12-11 21:18:28 +08:00
catlog22
e350e0c7bb Enhance logging and error handling in dashboard scripts
- Added detailed console logs in api.js to trace the execution flow during data loading and UI updates.
- Improved logging in main.js to monitor the initialization process and server mode data loading.
- Updated explorer.js to clarify the definition of defaultCliTool, indicating its location in another module.
2025-12-11 19:21:28 +08:00
catlog22
db4ab85d3e Refactor code structure for improved readability and maintainability 2025-12-11 19:02:07 +08:00
catlog22
cfcd277a58 refactor(session): 移除旧的操作参考,简化文档内容 2025-12-11 16:07:57 +08:00
catlog22
c256fd9379 refactor(session): migrate remaining bash commands to ccw session
Replace legacy bash operations in session commands with ccw session
commands for consistency and better maintainability.

Changes:
- session/list.md: Replace ls/wc with ccw session list
- session/complete.md: Replace bash marker/manifest ops with ccw session
- skills/command-guide reference docs: Mirror all changes

Commands replaced:
- `ls .workflow/active/WFS-*` → `ccw session list --location active`
- `test -f .archiving` → `ccw session read --type process --filename .archiving`
- `touch .archiving` → `ccw session write --type process --filename .archiving`
- `cat manifest.json` → `ccw session read manifest --type manifest`

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-11 15:08:55 +08:00
catlog22
0a4c205105 refactor(commands/agents): replace bash/jq with ccw session commands
Replace legacy bash/jq operations with ccw session commands for better
consistency and maintainability across workflow commands and agents.

Changes:
- commands/memory/docs.md: Use ccw session update/read for session ops
- commands/workflow/review.md: Replace cat/jq with ccw session read
- commands/workflow/tdd-verify.md: Replace find/jq with ccw session read
- agents/conceptual-planning-agent.md: Use ccw session read for metadata
- agents/test-fix-agent.md: Use ccw session read for context package
- skills/command-guide/reference/*: Mirror changes to skill docs
- ccw/src/commands/session.js: Fix EPIPE error when piping to jq/head

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-11 14:48:02 +08:00
catlog22
e815c3c10e fix(session-manager): support archived parameter in getSessionBase
The archive operation was failing to move sessions from active to
archives directory because getSessionBase() ignored the second
parameter. Now correctly returns archive path when archived=true.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 14:03:14 +08:00
catlog22
8eb1a4e52e feat(uninstall): 增强卸载命令以支持全局安装保护和文件跳过逻辑 2025-12-11 11:16:18 +08:00
catlog22
19648721fc feat: 重构安装和升级命令以支持全局子目录的安装和排除 2025-12-11 11:06:15 +08:00
catlog22
b81d1039c5 feat(cli): Add CLI Manager with status and history components
- Implemented CLI History Component to display execution history with filtering and search capabilities.
- Created CLI Status Component to show availability of CLI tools and allow setting a default tool.
- Enhanced notifications to handle CLI execution events.
- Integrated CLI Manager view to combine status and history panels for better user experience.
- Developed CLI Executor Tool for unified execution of external CLI tools (Gemini, Qwen, Codex) with streaming output.
- Added functionality to save and retrieve CLI execution history.
- Updated dashboard HTML to include navigation for CLI tools management.
2025-12-11 11:05:57 +08:00
catlog22
a667b7548c refactor(commands): replace bash/jq operations with ccw session commands
- session/start.md: Replace find/mkdir/echo with ccw session list/init
- session/list.md: Replace find/jq with ccw session list/stats/read
- session/resume.md: Replace jq status updates with ccw session status
- session/complete.md: Replace jq/mv with ccw session archive
- execute.md: Replace session discovery with ccw session list/status
- code-developer.md: Replace jq context-package read with ccw session read

Benefits:
- Atomic operations (no temp files)
- Auto workspace detection (works from subdirectories)
- Auto session location detection (active/archived/lite)
- Status history auto-tracking for tasks
- Consistent error handling

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-10 23:31:51 +08:00
catlog22
598bea9b21 feat(ccw): add session manager tool with auto workspace detection
- Add session_manager tool for workflow session lifecycle management
- Add ccw session CLI command with subcommands:
  - list, init, status, task, stats, delete, read, write, update, archive, mkdir
- Implement auto workspace detection (traverse up to find .workflow)
- Implement auto session location detection (active, archived, lite-plan, lite-fix)
- Add dashboard notifications for tool executions via WebSocket
- Add granular event types (SESSION_CREATED, TASK_UPDATED, etc.)
- Add status_history auto-tracking for task status changes
- Update workflow session commands to document ccw session usage

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-10 19:26:53 +08:00
catlog22
df104d6e9b feat: enforce synchronous exploration execution and update planning steps 2025-12-10 12:03:12 +08:00
catlog22
417f3c0f8c feat: enhance workflow session management with status updates and CSS styling 2025-12-10 10:01:07 +08:00
catlog22
5114a942dc chore: bump version to 6.1.4
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 22:32:58 +08:00
catlog22
edef937822 feat(v6.1.4): dashboard lite-fix enhancements and workflow docs update
- fix(dashboard): enhance lite-fix session parsing and plan rendering
- docs(workflow): add task status update command example for ccw dashboard

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 22:32:39 +08:00
catlog22
faa86eded0 docs: add changelog entries for 6.1.2 and 6.1.3
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 15:53:15 +08:00
catlog22
44fa6e0a42 chore: bump version to 6.1.3
- Update README version badge and release notes
- Published to npm with simplified edit_file CLI

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 15:52:43 +08:00
catlog22
be9a1c76d4 refactor(tool): simplify edit_file to parameter-based input only
- Remove JSON input support, use CLI parameters only
- Remove line mode, keep text replacement only
- Add sed as line operation alternative in tool-strategy.md
- Update documentation to English

Usage: ccw tool exec edit_file --path file.txt --old "old" --new "new"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 15:50:35 +08:00
catlog22
fcc811d6a1 docs(readme): update to v6.1.2 and simplify installation
- Update version badge and release notes to v6.1.2
- Remove one-click script install section (npm only)
- Update changelog highlights for latest release

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 15:41:39 +08:00
catlog22
906404f075 feat(server): add API endpoint for version check 2025-12-09 14:39:07 +08:00
catlog22
1267c8d0f4 feat(dashboard): add npm version update notification
- Add /api/version-check endpoint to check npm registry for updates
- Create version-check.js component with update banner UI
- Add CSS styles for version update banner
- Fix hook manager button event handling (use e.currentTarget)
- Bump version to 6.1.2

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 14:38:55 +08:00
catlog22
eb1093128e docs(skill): fix project name from "Claude DMS3" to "Claude Code Workflow"
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 14:38:55 +08:00
catlog22
4ddeb6551e Merge pull request #36 from gurdasnijor/smithery/add-badge
Add "Run in Smithery" badge
2025-12-09 10:30:05 +08:00
Gurdas Nijor
7252c2ff3d Add Smithery badge 2025-12-08 16:10:45 -08:00
catlog22
8dee45c0a3 chore: bump version to 6.1.1
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 00:04:17 +08:00
catlog22
99ead8b165 fix(tool): add smart JSON parser with Windows path handling
- Auto-fix Windows backslash paths in JSON input
- Provide helpful hints when path escaping errors occur

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 00:03:23 +08:00
catlog22
0c7f13d9a4 docs: update README to v6.1.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 00:01:13 +08:00
catlog22
ed32b95de1 chore: bump version to 6.1.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-08 23:52:14 +08:00
catlog22
beacc2e26b Fix icon duplications and add navigation color scheme
- Add color variables for navigation items (info, indigo, orange)
- Apply distinct colors to navigation items:
  * Active: green
  * Archived: blue
  * Lite Plan: indigo
  * Lite Fix: orange
- Fix icon conflicts in review session:
  * Change Dimensions icon from 📋 to 🎯
  * Change Location icon from 📄 to 📍
  * Change Root Cause icon from 🔍 to 🎯
- Add active state styles for each navigation item type
- Support both light and dark themes
2025-12-08 23:50:50 +08:00
catlog22
389621c954 fix(dashboard): replace emoji icons in tabs-context and tabs-other components
- tabs-context.js: package, clipboard-list, building-2, code-2, file-code, link, flask-conical, eye icons
- tabs-other.js: file-text, ruler, eye, blocks, package, git-branch, plug icons for exploration sections
- Update all empty state icons to use Lucide
- Update asset category icons (documentation, source code, tests)
- Update exploration titles with Lucide icons
2025-12-08 23:34:14 +08:00
catlog22
2ba7756d13 fix(dashboard): replace task status emoji icons with Lucide icons in session-detail
- Replace ✓/○/⟳ with check-circle/circle/loader-2 icons
- Update formatStatusLabel() to return HTML with Lucide icons
- Update task stats bar and bulk action buttons
- Simplify toast messages to avoid HTML in text content
- Add lucide.createIcons() call in updateTaskStatsBar()
2025-12-08 23:31:01 +08:00
catlog22
02f77c0a51 fix(dashboard): add missing Lucide icon initialization in project-overview and session-detail views 2025-12-08 23:24:17 +08:00
catlog22
5aa8d37cd0 fix(dashboard): ensure Lucide icons are initialized after all dynamic content renders
- Add lucide.createIcons() calls in renderSessions, renderProjectOverview, renderMcpManager, renderHookManager, renderLiteTasks, showSessionDetailPage
- Fixes issue where icons would not appear after page render
2025-12-08 23:23:40 +08:00
catlog22
a7b8ffc716 feat(explorer): async task execution, CLI selector fix, WebSocket frame handling
- Task queue now executes tasks in parallel using Promise.all
- addFolderToQueue uses selected CLI tool instead of hardcoded 'gemini'
- Added CSS styles for queue-cli-selector toolbar
- Force refresh notification list after all tasks complete
- Fixed WebSocket frame parsing to handle Ping/Pong control frames
- Respond to Ping with Pong, ignore other control frames
- Eliminates garbled characters in WebSocket logs
2025-12-08 23:21:47 +08:00
catlog22
b0bc53646e feat(dashboard): complete icon unification across all views
- Update home.js: inbox, calendar, list-checks icons
- Update project-overview.js: code-2, blocks, component, git-branch, sparkles, bug, wrench, book-open icons
- Update session-detail.js: list-checks, package, file-text, ruler, scale, search icons for tabs
- Update lite-tasks.js: zap, file-edit, wrench, calendar, list-checks, ruler, package, file-text icons
- Update mcp-manager.js: plug, building-2, user, map-pin, check-circle, x-circle, circle-dashed, lock icons
- Update hook-manager.js: webhook, pencil, trash-2, clock, check-circle, bell, octagon-x icons
- Add getHookEventIconLucide() helper function
- Initialize Lucide icons after dynamic content rendering

All emoji icons replaced with consistent Lucide SVG icons
2025-12-08 23:14:48 +08:00
catlog22
5f31c9ad7e feat(dashboard): unify icons with Lucide Icons library
- Introduce Lucide Icons via CDN for consistent SVG icons
- Replace emoji icons with Lucide SVG icons in sidebar navigation
- Fix Sessions/Explorer icon confusion (📁/📂 → history/folder-tree)
- Update top bar icons (logo, theme toggle, search, refresh)
- Update stats section icons with colored Lucide icons
- Add icon animations support (animate-spin for loading states)
- Update Explorer view with Lucide folder/file icons
- Support dark/light theme icon adaptation

Icon mapping:
- Explorer: folder-tree (was 📂)
- Sessions: history (was 📁)
- Overview: bar-chart-3
- Active: play-circle
- Archived: archive
- Lite Plan: file-edit
- Lite Fix: wrench
- MCP Servers: plug
- Hooks: webhook
2025-12-08 22:58:42 +08:00
catlog22
818d9f3f5d Add enhanced styles for the review tab, including layout, buttons, and responsive design 2025-12-08 22:11:14 +08:00
catlog22
1c3c070db4 fix(tools): 修复CLI工具多行prompt的shell转义问题
修复文件:
- update-module-claude.js
- generate-module-docs.js

主要修复:
- 使用临时文件+stdin管道传递prompt,避免shell转义问题
- 添加Windows PowerShell兼容性支持
- 添加执行日志输出便于调试
- 添加临时文件清理逻辑

技术细节:
- gemini/qwen: 使用 cat file | tool 方式
- codex: 使用 \ 命令替换
- Windows: 使用 Get-Content -Raw | tool
2025-12-08 21:56:41 +08:00
catlog22
91e4792aa9 feat(ccw): 添加 ccw tool exec 工具系统
新增工具:
- edit_file: AI辅助文件编辑 (update/line模式)
- get_modules_by_depth: 项目结构分析
- update_module_claude: CLAUDE.md文档生成
- generate_module_docs: 模块文档生成
- detect_changed_modules: Git变更检测
- classify_folders: 文件夹分类
- discover_design_files: 设计文件发现
- convert_tokens_to_css: 设计token转CSS
- ui_generate_preview: UI预览生成
- ui_instantiate_prototypes: 原型实例化

使用方式:
  ccw tool list              # 列出所有工具
  ccw tool exec <name> '{}'  # 执行工具

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-08 21:10:31 +08:00
catlog22
813bfa8f97 fix(claude): 修复 ccw tool exec 命令格式 - 位置参数改为JSON格式
修复内容:
- 将位置参数格式改为JSON格式: ccw tool exec tool '{"param":"value"}'
- 修复双引号字符串内的JSON引号转义问题
- 更新deprecated脚本的使用示例

受影响文件:
- commands/memory/update-full.md, docs-full-cli.md, docs-related-cli.md, update-related.md
- commands/workflow/ui-design/generate.md, import-from-code.md
- scripts/*.sh (9个deprecated脚本)
- skills/command-guide/reference/* (通过analyze_commands.py自动同步)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-08 21:09:21 +08:00
catlog22
8b29f6bb7c chore: bump version to 6.0.5 2025-12-08 10:29:10 +08:00
catlog22
27273405f7 feat: CCW Dashboard 增强 - 停止命令、浏览器修复和MCP多源配置
- 新增 ccw stop 命令支持优雅停止和强制终止 (--force)
- 修复 ccw view 服务器检测时浏览器无法打开的问题
- MCP 配置现在从多个源读取:
  - ~/.claude.json (项目级)
  - ~/.claude/settings.json 和 settings.local.json (全局)
  - 各工作空间的 .claude/settings.json (工作空间级)
- 新增全局 MCP 服务器显示区域
- 修复路径选择模态框样式问题

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-08 10:28:07 +08:00
catlog22
f4299457fb fix(package): 调整依赖项顺序以提高可读性 2025-12-08 10:00:42 +08:00
catlog22
06983a35ad fix(dashboard): 添加路径选择弹窗样式
- 修复 path-modal 样式丢失问题
- 添加完整的弹窗样式定义

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-08 09:59:15 +08:00
catlog22
a80953527b feat(ccw): 智能识别运行中的服务器,支持工作空间切换
- ccw view 自动检测服务器是否已运行
- 已运行时切换工作空间并打开浏览器,无需重启服务器
- 新增 /api/switch-path 和 /api/health 端点
- Dashboard 支持 URL path 参数加载指定工作空间

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-08 09:56:35 +08:00
catlog22
0f469e225b fix: 添加 ccw/package.json 到发布文件列表 2025-12-07 22:59:43 +08:00
catlog22
5dca69fbec chore: bump version to 6.0.1 2025-12-07 21:42:50 +08:00
catlog22
ac626e5895 feat: Review Session增加Fix进度跟踪卡片,移除独立Dashboard模板
- 新增Fix Progress跟踪卡片(走马灯样式)显示修复进度
- 添加/api/file端点支持读取fix-plan.json
- 移除review-fix/module-cycle/session-cycle中的独立dashboard生成
- 删除废弃的workflow-dashboard.html和review-cycle-dashboard.html模板
- 统一使用ccw view命令查看进度

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-07 21:41:43 +08:00
catlog22
cb78758839 docs: 更新 README 添加 npm 安装和 ccw CLI 说明
- 版本更新到 v6.0.0
- 添加 npm badge 和安装说明
- 新增 CCW CLI Tool 章节,说明所有命令
- 更新 description 为 JSON-driven multi-agent framework
- 修复 package.json 循环依赖

安装: npm install -g claude-code-workflow

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-07 20:56:58 +08:00
catlog22
844a2412b2 chore: 配置 npm 发布 @dyw1234/claude-code-workflow@6.0.0
- 添加 package.json 到项目根目录
- 配置 scoped package @dyw1234/claude-code-workflow
- 添加 .npmignore 排除不必要文件
- 发布 v6.0.0 到 npm registry

安装方式: npm install -g @dyw1234/claude-code-workflow

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-07 20:42:23 +08:00
catlog22
650d877430 feat: Dashboard 增强 - MCP管理器、Review Session 和 UI 改进
- 添加 MCP Manager 组件,支持服务器状态管理
- 增强 Review Session 视图,添加 conflict/review tabs
- 新增 _conflict_tab.js 和 _review_tab.js 组件
- 改进 carousel、tabs-other 等组件
- 大量 CSS 样式更新和优化
- home.js 添加新功能支持

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-07 20:07:29 +08:00
catlog22
f459061ad5 refactor: 简化 ccw 安装流程,移除远程下载功能
- 删除 version-fetcher.js,移除 GitHub API 依赖
- install.js: 移除远程版本选择,只保留本地安装
- upgrade.js: 重写为本地升级,比对包版本与已安装版本
- cli.js: 移除 -v/-t/-b 等版本相关选项
- 添加 CLAUDE.md 复制到 .claude 目录的逻辑

版本管理统一到 npm:npm install -g ccw@版本号

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-07 20:03:10 +08:00
catlog22
a6f9701679 Add exploration field rendering helpers for dynamic content display
- Implemented `renderExpField` to handle various data types for exploration fields.
- Created `renderExpArray` to format arrays, including support for objects with specific properties.
- Developed `renderExpObject` for recursive rendering of object values, filtering out private keys.
- Introduced HTML escaping for safe rendering of user-generated content.
2025-12-07 18:07:28 +08:00
catlog22
26a325efff feat: 添加最近路径管理功能,包括删除路径的API和前端交互 2025-12-07 17:35:10 +08:00
catlog22
0a96ee16a8 Add tool strategy documentation with triggering mechanisms and text processing references
- Introduced auto and manual triggering mechanisms for Exa.
- Added quick reference guides for sed and awk text processing.
- Established a fallback strategy for handling edit failures.
2025-12-07 17:09:07 +08:00
catlog22
43c962b48b feat: Add Notifications Component with WebSocket and Auto Refresh
- Implemented a Notifications component for real-time updates using WebSocket.
- Added silent refresh functionality to update data without notification bubbles.
- Introduced auto-refresh mechanism to periodically check for changes in workflow data.
- Enhanced data handling with session and task updates, ensuring UI reflects the latest state.

feat: Create Hook Manager View for Managing Hooks

- Developed a Hook Manager view to manage project and global hooks.
- Added functionality to create, edit, and delete hooks with a user-friendly interface.
- Implemented quick install templates for common hooks to streamline user experience.
- Included environment variables reference for hooks to assist users in configuration.

feat: Implement MCP Manager View for Server Management

- Created an MCP Manager view for managing MCP servers within projects.
- Enabled adding and removing servers from projects with a clear UI.
- Displayed available servers from other projects for easy access and management.
- Provided an overview of all projects and their associated MCP servers.

feat: Add Version Fetcher Utility for GitHub Releases

- Implemented a version fetcher utility to retrieve release information from GitHub.
- Added functions to fetch the latest release, recent releases, and latest commit details.
- Included functionality to download and extract repository zip files.
- Ensured cleanup of temporary directories after downloads to maintain system hygiene.
2025-12-07 15:48:39 +08:00
catlog22
724545ebd6 Remove backup HTML template for workflow dashboard 2025-12-07 12:59:59 +08:00
catlog22
a9a2004d4a feat(dashboard): add context sections for assets, dependencies, test context, and conflict detection 2025-12-06 21:04:50 +08:00
catlog22
5b14c8a832 feat: add project overview section and enhance task item styles
- Introduced a new project overview section in the dashboard, displaying project details, technology stack, architecture, key components, and development history.
- Updated the server logic to include project overview data.
- Enhanced task item styles with status-based background colors for better visual distinction.
- Improved markdown modal functionality for viewing context and implementation plan with normalized line endings.
- Refactored task rendering logic to simplify task item display and improve performance.
2025-12-06 20:50:23 +08:00
catlog22
e2c5a514cb fix(data-aggregator): remove extra closing brace causing syntax error
- Fixed loadDimensionData function that had duplicate closing brace
- This was preventing review session dimension data from being parsed

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 16:59:45 +08:00
catlog22
296761a34e style(dashboard): enhance step numbers and mod-point card styling
- Change step numbers from circles to rounded rectangles
- Add shadow to step number badges for depth
- Enhance mod-point-card with full border and stronger left accent
- Add hover effect with elevated shadow on mod-point-card

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 16:52:36 +08:00
catlog22
1d3436d51b feat(dashboard): simplify lite task list and add dedicated drawer
- Remove META/CONTEXT/FLOW_CONTROL collapsible sections from task list
- Add compact task item with action/scope/mods/steps badges
- Create dedicated renderLiteTaskDrawerContent for plan.json parsing
- Add Overview tab with description, scope, acceptance, dependencies
- Add Implementation tab with steps and modification points
- Add proper file list extraction from modification_points
- Add CSS styles for lite task badges and drawer components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 15:51:37 +08:00
catlog22
60bb11c315 feat(dashboard): simplify lite task UI and add exploration context support
- Remove status indicators from lite task cards (progress bars, percentages)
- Remove status icons and badges from task detail items
- Remove stats bar showing completed/in-progress/pending counts
- Add Plan tab in drawer for plan.json data display
- Add exploration-*.json parsing for context tab
- Add collapsible sections for architecture, dependencies, patterns
- Fix currentPath selector bug causing TypeError

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-05 15:47:49 +08:00
catlog22
72fe6195af fix: update Codex multiplier to reflect new time allocation guidelines 2025-12-05 11:14:42 +08:00
catlog22
04fb3b7ee3 feat(dashboard): add plan data loading and lite task detail styling
- Add plan.json data loading to getSessionDetailData function for lite tasks
- Implement plan tab content styling with summary and approach sections
- Add plan metadata grid layout for displaying task planning information
- Create lite task detail page styles with task stats bar and status indicators
- Add context tab content styling with improved section hierarchy
- Implement path tags and JSON content display styles for plan details
- Add collapsible sections for organizing plan information
- Create comprehensive styling for context fields, modification points, and implementation steps
- Add array and nested object rendering styles for JSON data visualization
- Implement button styles for JSON view toggle functionality
2025-12-04 22:55:56 +08:00
catlog22
942fca7ad8 refactor(dashboard): optimize template structure and enhance data aggregation
- Reorder CSS and JS file loading in dashboard-generator.js for consistency
- Simplify dashboard.css by removing redundant styles and consolidating to Tailwind-based approach
- Add backup files for dashboard.html, dashboard.css, and review-cycle-dashboard.html
- Create new Tailwind-based dashboard template (dashboard_tailwind.html) and test variant
- Add tailwind.config.js for Tailwind CSS configuration
- Enhance data-aggregator.js to load full task data for archived sessions (previously only counted)
- Add meta, context, and flow_control fields to task objects for richer data representation
- Implement review data loading for archived sessions to match active session behavior
- Improve task sorting consistency across active and archived sessions
- Reduce CSS file size by ~70% through Tailwind utility consolidation while maintaining visual parity
2025-12-04 21:41:30 +08:00
catlog22
39df995e37 Refactor code structure for improved readability and maintainability 2025-12-04 17:22:25 +08:00
catlog22
efaa8b6620 fix: Refine action-planning-agent documentation for clarity and structure 2025-12-04 09:47:53 +08:00
catlog22
35bd0aa8f6 feat: Add workflow dashboard template and utility functions
- Implemented a new HTML template for the workflow dashboard, featuring a responsive design with dark/light theme support, session statistics, and task management UI.
- Created a browser launcher utility to open HTML files in the default browser across platforms.
- Developed file utility functions for safe reading and writing of JSON and text files.
- Added path resolver utilities to validate and resolve file paths, ensuring security against path traversal attacks.
- Introduced UI utilities for displaying styled messages and banners in the console.
2025-12-04 09:40:12 +08:00
catlog22
0f9adc59f9 docs: Remove deprecated CLI commands, clarify semantic invocation
Addresses issue #33 - /cli:mode:bug-diagnosis command not found

Changes:
- Remove deprecated /cli:* commands (/cli:analyze, /cli:chat, /cli:execute,
  /cli:codex-execute, /cli:discuss-plan, /cli:mode:*) from documentation
- Only /cli:cli-init remains as the sole CLI command
- Update all references to use /workflow:lite-plan, /workflow:lite-fix
- Clarify that CLI tools are now invoked through semantic invocation
  (natural language) - Claude auto-selects Gemini/Qwen/Codex with templates
- Update COMMAND_SPEC.md, COMMAND_REFERENCE.md, GETTING_STARTED*.md,
  FAQ.md, WORKFLOW_DECISION_GUIDE*.md, workflow-architecture.md

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-03 23:05:40 +08:00
catlog22
c43a72ef46 release: v5.9.8 - Brainstorm workflow improvements and documentation updates
## Changes
- Simplify analysis output strategy to optional modular structure
- Update synthesis/artifacts documentation to use AskUserQuestion tool
- Add modular output strategy for brainstorm analysis
- Simplify clarification deduplication in lite-plan
- Add "Fix, Don't Hide" section to CLAUDE.md guidelines
- Simplify project.json schema by removing unused fields
- Update session ID format in lite-fix/lite-plan workflows
- Add development index to project JSON schema

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2025-12-03 22:45:04 +08:00
catlog22
7a61119c55 fix: Enhance session folder creation with success/failure feedback in lite-fix and lite-plan workflows 2025-12-02 14:47:08 +08:00
catlog22
d620eac621 fix: Remove file path reference from AGENTS.md 2025-12-01 22:18:44 +08:00
catlog22
1dbffbee2d fix: Enforce multi-round clarification in lite-plan and lite-fix
Add explicit instructions to execute ALL clarification rounds when >4
questions exist. AskUserQuestion tool limits max 4 per call, so multi-round
execution is mandatory to exhaust all clarification needs.

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2025-11-29 23:44:00 +08:00
catlog22
c67817f46e fix: Clarify multi-round clarification and enforce session timestamp format
- Phase 2 Clarification: max 4 questions per round, multiple rounds allowed
- Session Setup: MANDATORY timestamp in sessionId format (slug-YYYY-MM-DD-HH-mm-ss)

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2025-11-29 20:25:48 +08:00
catlog22
d654419423 feat: Add recommended selection to clarification questions
- Add recommended field to explore-json-schema.json clarification_needs
- Update lite-plan/lite-fix/context-gather agent prompts
- Display ★ marker and (Recommended) label in AskUserQuestion options

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2025-11-29 18:25:32 +08:00
catlog22
1e2240dbe9 docs: Add minimize changes principle to CLAUDE.md
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2025-11-29 18:21:24 +08:00
catlog22
b3778ef48c fix: Use UTC+8 timezone for lite-fix session timestamps
Add getUtc8ISOString() helper function to generate China Standard Time
timestamps instead of UTC. Applied to:
- Session ID generation (shortTimestamp)
- Diagnosis manifest timestamp
- Direct planning metadata timestamp

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2025-11-29 17:12:27 +08:00
catlog22
a16cf5c8d3 fix: Use UTC+8 timezone for lite-plan session timestamps
Add getUtc8ISOString() helper function to generate China Standard Time
timestamps instead of UTC. Applied to:
- Session ID generation (shortTimestamp)
- Exploration manifest timestamp
- Direct planning metadata timestamp

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2025-11-29 17:10:58 +08:00
catlog22
d82bf5a823 fix: Preserve user intent in test workflow session creation
- Add Step 1.0 to test-gen.md to load source session task_description
- Add Step 1.0 to test-fix-gen.md (Session Mode) to load original user intent
- Include originalTaskDescription in session creation to enable semantic CLI selection
- Fixes data flow gap identified by Gemini review: user's CLI tool preferences
  (e.g., "use Codex for fixes") now propagate through test workflow sessions

This ensures semantic CLI tool selection works correctly in derivative test sessions
by preserving the original user's task description from the source session.

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2025-11-29 17:06:13 +08:00
catlog22
132eec900c refactor: Replace CLI execution flags with semantic-driven tool selection
- Remove --cli-execute flag from plan.md, tdd-plan.md, task-generate-agent.md, task-generate-tdd.md
- Remove --use-codex flag from test-gen.md, test-fix-gen.md, test-task-generate.md
- Remove meta.use_codex from task JSON schema in action-planning-agent.md and cli-planning-agent.md
- Add "Semantic CLI Tool Selection" section to action-planning-agent.md
- Document explicit source: metadata.task_description from context-package.json
- Update test-fix-agent.md execution mode documentation
- Update action-plan-verify.md to remove use_codex validation
- Sync SKILL reference copies via analyze_commands.py

CLI tool usage now determined semantically from user's task description
(e.g., "use Codex for implementation") instead of explicit flags.

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-29 15:59:01 +08:00
catlog22
09114f59c8 fix: Complete lite-fix command with diagnosis workflow and schemas
- Add lite-fix.md command based on lite-plan.md structure
- Create diagnosis-json-schema.json for bug diagnosis results
- Create fix-plan-json-schema.json for fix planning
- Update intelligent-tools-strategy.md: simplify model selection, add 5min minimum timeout
- Fix missing _metadata.diagnosis_index in agent prompt
- Clarify --hotfix mode skip behavior

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2025-11-29 11:18:48 +08:00
catlog22
72099ae951 fix: Update agent calls in documentation to reflect changes from gemini-wrapper to gemini 2025-11-29 10:40:36 +08:00
catlog22
d66064024c refactor: Optimize context-gather workflow with Synthesis role clarification
- Rename Track 0 from 'Exploration Aggregation' to 'Exploration Synthesis'
- Add explicit synthesis logic for critical_files prioritization and deduplication
- Enhance explore-json-schema to support relevance scores in relevant_files
- Update explore agent prompts across context-gather and lite-plan commands
- Add synthesizeCriticalFiles and synthesizeConflictIndicators helper functions

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2025-11-29 10:38:04 +08:00
catlog22
8c93848303 refactor: Enhance cli-explore-agent prompt in context-gather
Align with lite-plan.md prompt structure:
- Add detailed Task Objective with angle-specific analysis
- Add MANDATORY FIRST STEPS with explicit ordered commands
- Add 3-step Exploration Strategy (Structural Scan, Semantic Analysis, Write Output)
- Add detailed Expected Output with Required Fields
- Add Success Criteria checklist for validation

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2025-11-28 23:10:06 +08:00
catlog22
57a86ab36f feat: Add parallel explore agents to context-gather workflow
- context-gather.md: Add Step 2 with complexity assessment (Low/Medium/High)
  and parallel cli-explore-agent execution (1-4 agents based on complexity)
- context-search-agent.md: Add Track 0 for exploration aggregation with
  exploration_results schema including all_patterns and all_integration_points
- conflict-resolution.md: Consume exploration_results for enhanced conflict
  detection with pre-identified conflict indicators
- task-generate-agent.md: Use exploration critical_files for focus_paths
  and all_patterns/all_integration_points for implementation guidance

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2025-11-28 23:08:20 +08:00
catlog22
e75cdf0b61 docs: Update documentation for v5.9.6 with new commands and features
- Update README_CN.md version badge to v5.9.6
- Update COMMAND_REFERENCE.md with new commands:
  - workflow:lite-fix (bug diagnosis workflow)
  - workflow:lite-execute (in-memory execution)
  - workflow:review-module-cycle (module code review)
  - workflow:review-session-cycle (session code review)
  - workflow:review-fix (automated fixing)
  - memory:docs-* CLI commands
  - memory:skill-memory, tech-research, workflow-skill-memory
- Update analyze_commands.py:
  - Add lite workflows relationships
  - Add review cycle workflows relationships
  - Update essential commands list
- Rebuild command-guide index with updated relationships

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2025-11-28 17:08:59 +08:00
catlog22
79b13f363b docs: Update README and CHANGELOG for v5.9.3-v5.9.6 releases
- Update version badge to v5.9.6
- Add comprehensive changelog entries for v5.9.3, v5.9.4, v5.9.5, v5.9.6
- Document lite-plan optimization, review-cycle enhancements
- Include lite-fix workflow, test-cycle improvements
- Update feature summary to reflect latest capabilities

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2025-11-28 17:03:39 +08:00
catlog22
87d5a1292d fix: Update task generation rules to allow 2-7 structured tasks and refine grouping principles 2025-11-28 16:31:00 +08:00
catlog22
3e6ed5e4c3 revert: Restore lite-execute and schema to 196b805, keep 50k context protection
- Revert cost-aware batching and multi-agent parallelism in lite-execute
- Remove execution_group and task complexity from schema
- Remove execution_group rules from lite-plan
- Keep 50k context threshold protection in lite-plan

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2025-11-28 15:34:14 +08:00
catlog22
96dd9bef5f fix: Add 50k context threshold to prevent orchestrator overflow in lite-plan
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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-28 14:25:33 +08:00
catlog22
697a646fc9 fix: Enable true multi-agent parallelism with batch-specific task dispatch
- Add executeBatch dispatcher to route batches to Agent/Codex
- Update executeBatchAgent to use batch.tasks instead of planObject.tasks
- Update executeBatchCodex to use batch.tasks instead of planObject.tasks
- Each parallel batch now dispatches to separate concurrent agent

Before: All batches → single agent with ALL tasks (no parallelism)
After:  P1 → Agent 1, P2 → Agent 2 (true concurrent execution)

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-28 12:52:46 +08:00
catlog22
cde17bd668 feat: Add cost-aware parallel execution with execution_group support
- Schema: Add execution_group and task-level complexity fields
- Executor: Hybrid dependency analysis (explicit + file conflicts)
- Executor: Cost-based batching (MAX_BATCH_COST=8, Low=1/Medium=2/High=4)
- Executor: execution_group priority for explicit parallel grouping
- Planner: Add guidance for execution_group and complexity fields

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-28 12:45:10 +08:00
catlog22
98b72f086d refactor: Move schema loading to Low complexity path only in lite-plan
Schema loading is only needed for direct Claude planning (Low complexity).
The cli-lite-planning-agent handles schema internally for Medium/High complexity.

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2025-11-28 11:04:47 +08:00
catlog22
196b805499 refactor: Update task structure and grouping principles in planning and execution schemas for clarity and consistency 2025-11-28 10:56:45 +08:00
catlog22
beb839d8e2 refactor: Add automation framework configuration section to test task generation documentation 2025-11-27 22:38:42 +08:00
catlog22
2aa39bd355 Refactor task attachment terminology across workflow commands to use "dispatch" instead of "invoke" for clarity and consistency. Update documentation to reflect changes in task execution and attachment models, emphasizing the orchestrator's role in executing attached tasks. Adjust phase descriptions and command examples to align with the new terminology. 2025-11-27 21:34:55 +08:00
catlog22
a62d30acb9 refactor: Remove redundant reference to Claude in complexity assessment description 2025-11-27 17:07:42 +08:00
catlog22
8bc5b40957 fix: Add schema reference requirement for Low complexity planning in lite-plan
- Updated execution flow diagram to show schema loading as REQUIRED step
- Added explicit schema reference for Low complexity direct planning
- Ensures plan.json follows consistent structure regardless of complexity level

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-27 17:06:12 +08:00
catlog22
2a11d5f190 refactor: Add tree-style execution flow diagrams to all workflow commands
Added tree-style execution process diagrams using ASCII art (├─, └─, │) to 34 workflow command files across three directories for improved readability and execution flow clarity.

## Changes by Directory

### workflow/ root (17 files)
- lite-plan.md, lite-execute.md, lite-fix.md
- plan.md, execute.md, replan.md
- status.md, review.md, review-fix.md
- review-session-cycle.md, review-module-cycle.md
- session commands (start, complete, resume, list)
- tdd-plan.md, tdd-verify.md, test-cycle-execute.md, test-gen.md, test-fix-gen.md

### workflow/ui-design/ (10 files)
- layout-extract.md, animation-extract.md, style-extract.md
- generate.md, import-from-code.md, codify-style.md
- imitate-auto.md, explore-auto.md
- reference-page-generator.md, design-sync.md

### workflow/tools/ (8 files)
- conflict-resolution.md, task-generate-agent.md, context-gather.md
- tdd-coverage-analysis.md, task-generate-tdd.md
- test-task-generate.md, test-concept-enhanced.md, test-context-gather.md

## Diagram Features
- Input parsing with flag enumeration
- Decision branching with conditional paths
- Phase/step hierarchy with clear nesting
- Mode detection and validation flows

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2025-11-27 16:13:30 +08:00
catlog22
964bbbf5bc refactor: Simplify lite-plan complexity assessment with Claude intelligent analysis
- Replace keyword-based estimateComplexity() with Claude intelligent analysis
- Remove exploration-driven complexityScore in Phase 3
- Unify complexity assessment to Phase 1 only
- Update Execution Process to tree-style flow diagram
- Fix step numbering error (duplicate step 4 → step 6)

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2025-11-27 15:21:09 +08:00
catlog22
75ad427862 fix: Replace file:// URLs with local HTTP server for dashboard access
Dashboards use fetch() API which doesn't work with file:// protocol due to
browser CORS restrictions. Now starts Python HTTP server for proper access.

- review-module-cycle: port 8765
- review-session-cycle: port 8765
- review-fix: port 8766 (different port for concurrent use)

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2025-11-27 14:14:48 +08:00
catlog22
edda988790 feat: Add guideline to avoid complex bash pipe chains in test-fix-agent
Prefer dedicated tools (Read, Grep, Glob) over multi-pipe bash commands for file operations.

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2025-11-27 13:59:45 +08:00
catlog22
a8961761ec feat: Add run_in_background=false guideline for test-fix-agent
Ensure Bash() commands run tests in foreground for proper output capture.

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2025-11-27 13:28:47 +08:00
catlog22
2b80a02d51 feat: Add non-interrupting execution guideline to session start command
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2025-11-27 13:23:19 +08:00
catlog22
969242dbbc fix: Remove outdated agent output file descriptions from review-fix.md 2025-11-26 20:20:20 +08:00
catlog22
ef09914f94 fix: Standardize Execution Flow phase naming and remove redundant REVIEW-SUMMARY.md output
- Unify phase numbering format to "Phase X:" across all review workflow commands
- Add missing Phase 5: Session Completion to review-fix.md
- Replace "Update dashboard" with "Generate fix-dashboard.html" to clarify initialization vs polling
- Remove REVIEW-SUMMARY.md generation (dashboard serves as primary output)
- Align phase names with Orchestrator section (e.g., "Planning Coordination", "Execution Orchestration")

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2025-11-26 20:16:35 +08:00
catlog22
2f4ecf9ae3 feat: Update review-fix.md to reflect changes in dashboard update process and output handling 2025-11-26 20:08:44 +08:00
catlog22
b000359e69 feat: Enhance fix-dashboard.html to consume more JSON fields from review-fix workflow
- Add errors array display with badge and detailed error list in Active Agents
- Enhance task cards with dimension badge, file:line, attempts, and commit hash
- Add Finding Details Modal with complete information on click
- Display fix_strategy and risk_assessment in Active Groups cards
- Add renderAgentErrors(), renderStrategyAndRisk() helper functions
- Increase JSON field consumption rate from ~53% to ~90%

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 19:59:33 +08:00
catlog22
84b428b52f feat: Add independent fix tracking dashboard with theme support
This commit introduces an independent fix progress tracking system with
enhanced visualization and theme customization.

Changes:
- Create standalone fix-dashboard.html with dark/light theme toggle
- Add comprehensive task visualization with status filtering
- Implement real-time progress tracking with 3-second polling
- Add stage timeline with parallel/serial execution visualization
- Include flow control steps tracking for active agents
- Simplify state management (remove fix-state.json, use metadata in fix-plan.json)
- Update review-fix.md documentation with dashboard generation steps
- Change template references from @ to cat command syntax

Dashboard Features:
- Theme toggle (dark/light) with localStorage persistence
- Task cards grid with status-based filtering (all/pending/in-progress/fixed/failed)
- Tab-based view for Active Groups and Active Agents
- Enhanced progress bar with gradient and shimmer animation
- Stage timeline with visual status indicators
- Fix history drawer for session review
- Fully responsive design for mobile devices

Technical Improvements:
- Consumes new JSON structure (fix-plan.json with metadata field)
- Real-time aggregation from multiple fix-progress-{N}.json files
- Single HTML file (self-contained, no external dependencies)
- Static generation (created once in Phase 1, no subsequent modifications)
- Browser-side polling for status updates

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 18:59:19 +08:00
catlog22
2443c64c61 fix: Remove duplicate 'fix-export-' prefix in export filename
Problem: Export filename was 'fix-export-fix-export-1764148101709.json'
Root cause: export_id already contained 'fix-export-' prefix, then filename construction added it again

Solution: Keep export_id as timestamp only, let filename construction add the prefix
Result: Correct filename 'fix-export-1764148101709.json'
2025-11-26 17:10:54 +08:00
catlog22
f7593387a0 feat: Enhance review-cycle dashboard with real-time progress and advanced filtering
Dashboard Improvements:
- Real-time incremental dimension loading (no longer waits for phase=complete)
- Progress bar now based on actual dimension file count (e.g., 6/7 = 85%)
- Display findings as they become available during agent execution

Export Enhancements:
- Show detailed export path recommendations pointing to session directory
- Provide Windows/Mac/Linux commands to move files from Downloads
- Display complete usage instructions with file paths

Advanced Filtering & Sorting:
- Multi-select severity filter (can combine Critical + High, etc.)
- Sort by: Severity / Dimension / File / Title
- Toggle sort order: Ascending ↑ / Descending ↓
- One-click "Reset All Filters" button

Smart Selection:
- "Select Visible" - selects only filtered findings
- "Critical Only" - quick select all critical findings
- Enhanced selection counter and UI feedback

Technical Changes:
- Replace single severity filter with Set-based multi-select
- Add sortConfig with order tracking (asc/desc)
- Auto-sort after filtering for consistent UX
- Enhanced search to include category field
- Improved dimension status indicators (✓ completed,  processing)

User Experience:
- Real-time visibility into agent progress (6/7 dimensions, 108 findings)
- Flexible filtering combinations for targeted analysis
- Export workflow guidance with copy-paste commands
- Responsive filter layout with visual feedback
2025-11-26 16:57:19 +08:00
catlog22
64674803c4 feat: Enhance export notifications with detailed usage instructions and recommended file locations 2025-11-26 16:32:13 +08:00
catlog22
1252f4f7c6 feat: Enhance progress tracking and UI updates for dimension loading 2025-11-26 16:26:16 +08:00
catlog22
c862ac225b fix: Remove comment on timeout value for CLI execution 2025-11-26 16:04:52 +08:00
catlog22
5375c991ba fix: Increase timeout for CLI execution to 10 minutes 2025-11-26 16:04:34 +08:00
catlog22
7b692ce415 refactor: Clarify agent schema reading with explicit cat commands
Replaced ambiguous "Read: schema.json" instructions with explicit
"Execute: cat schema.json" commands to eliminate orchestrator/agent
responsibility confusion. Updated in three key sections:

- MANDATORY FIRST STEPS: Added "Execute by Agent" header with explicit
  cat command for schema retrieval
- Expected Deliverables: Shortened to reference prior schema step
- Success Criteria: Simplified to "Schema obtained via cat"

Files modified:
- lite-plan.md: explore-json-schema.json + plan-json-schema.json
- review-module-cycle.md: dimension results + deep-dive schemas
- review-session-cycle.md: dimension results + deep-dive schemas

Benefits:
- Removes ambiguity about who reads schema (always agent, never orchestrator)
- Uses direct command syntax ("cat") instead of passive language
- Consistent English-only phrasing across all three files
- Three-point reinforcement ensures agents execute schema reading
2025-11-26 16:02:00 +08:00
catlog22
2cf8efec74 refactor: Optimize review cycle dashboard generation and merge JSON state files
Changes:
- Dashboard generation: Split piped command into 4 independent steps (cp + 3x sed -i) for higher success rate
- JSON consolidation: Merge review-metadata.json into review-state.json (2 files instead of 3)
- Enhanced constraints: Add mandatory template usage requirements and post-generation modification prohibitions
- Updated documentation: Sync changes across review-module-cycle and review-session-cycle

Benefits:
- Reduced command execution failures with independent steps
- Simplified state management with unified metadata+state JSON
- Clearer orchestrator/agent boundaries for dashboard interaction
2025-11-26 15:32:56 +08:00
catlog22
34a9a23d5b fix: Add explicit JSON schema requirements to review cycle agent prompts
Move specific JSON structure requirements from cli-explore-agent (keep generic)
to review-*-cycle.md prompts. Key requirements now inline in prompts:
- Root must be array [{}] not object {}
- analysis_timestamp field (not timestamp/analyzed_at)
- Flat summary structure (not nested by_severity)
- Lowercase severity/id values
- Correct field names (snippet not code_snippet, impact not exploit_scenario)
2025-11-26 15:15:30 +08:00
catlog22
cf6a0f1bc0 refactor: Simplify cli-explore-agent with prompt-driven architecture
- Restructure cli-explore-agent.md from 620 to 165 lines
- Replace hardcoded task types with prompt-based extraction
- Add 4-phase workflow: Task Understanding → Analysis → Schema Validation → Output
- Emphasize mandatory schema reading before JSON output
- Remove inline output templates, reference external schema files
- Update code-map-memory.md to use codemap-json-schema.json
2025-11-26 15:07:22 +08:00
catlog22
247db0d041 Refactor lite-execute and lite-plan workflows to support plan.json format, enhance task structure, and improve exploration angle assignment. Update review cycle dashboard with dimension summary table and associated styles. Modify plan JSON schema to include new properties and adjust validation rules. 2025-11-26 11:31:15 +08:00
catlog22
fec5d9a605 refactor: Simplify and standardize TodoWrite structure in review-module-cycle and review-session-cycle documentation for clarity 2025-11-26 10:31:04 +08:00
catlog22
97fea9f19e refactor: Remove resume option from argument hints in review-module-cycle and review-session-cycle documentation for clarity 2025-11-26 10:26:14 +08:00
catlog22
6717e2a59b refactor: Update review-fix command examples and output structure for clarity and consistency 2025-11-26 10:00:18 +08:00
catlog22
84c180ab66 refactor: Simplify and streamline agent documentation and output schemas for clarity and consistency 2025-11-26 09:37:14 +08:00
catlog22
e70f086b7e refactor: Update file paths in documentation to use relative paths for consistency and clarity 2025-11-25 23:48:58 +08:00
catlog22
6359a364cb refactor: Remove outdated examples and related commands from review-module-cycle documentation for clarity 2025-11-25 23:03:27 +08:00
catlog22
8f2126677f refactor: Update review commands to require active sessions and unify output directory structure for improved organization and clarity 2025-11-25 23:02:20 +08:00
catlog22
c3e87db5be refactor: Enhance task objectives and output requirements in review-fix command for improved clarity and structure 2025-11-25 22:23:56 +08:00
catlog22
a6561a7d01 feat: Enhance exploration schema and introduce automated review-fix workflow
- Added new fields to the exploration JSON schema: exploration_angle, exploration_index, and total_explorations for better tracking of exploration parameters.
- Created a comprehensive review-fix command documentation to automate code review findings fixing, detailing the workflow, execution flow, agent roles, and error handling.
- Introduced fix-plan-template.json for structured planning output, including execution strategy, group definitions, and risk assessments.
- Added fix-progress-template.json to track progress for each group during the execution phase, ensuring real-time updates and status management.
2025-11-25 22:01:01 +08:00
catlog22
4bd732c4db refactor: enhance multi-angle exploration context in lite-execute command output 2025-11-25 20:01:43 +08:00
catlog22
152303f1b8 refactor: optimize TodoWrite format with hierarchical display across workflow commands
Adopt consistent hierarchical TodoWrite format for better visual clarity:
- Phase-level tasks: "Phase N: Description"
- Sub-tasks: "  → Sub-task description" (indented with arrow)
- Clear parent-child relationships through visual hierarchy
- Task attachment/collapse pattern visualization

Updated commands:
- lite-plan.md (Phase 1-4 examples)
- auto-parallel.md (Phase 0-3 examples)
- tdd-plan.md (Phase 3-5 examples)
- test-fix-gen.md (TodoWrite Pattern with examples)
- explore-auto.md (TodoWrite Pattern)
- imitate-auto.md (TodoWrite Pattern)
- review-session-cycle.md
- review-module-cycle.md

Benefits:
- Visual hierarchy shows task relationships
- Expanded view shows detailed progress
- Collapsed view maintains clean orchestrator-level summary
- Consistent format across all multi-phase workflows
2025-11-25 19:54:33 +08:00
catlog22
2d66c1b092 refactor: update task descriptions and statuses in workflow plan for clarity 2025-11-25 19:44:24 +08:00
catlog22
93d8e79b71 feat: add comprehensive review-session-cycle command for multi-dimensional code analysis
- Introduced a new command `/workflow:review-session-cycle` for session-based code reviews across 7 dimensions.
- Implemented hybrid parallel-iterative execution to enhance review efficiency and coverage.
- Added detailed documentation outlining command usage, execution flow, and agent roles.
- Configured specialized dimensions with priority-based allocation and defined severity assessment criteria.
- Established a robust aggregation logic for identifying cross-cutting concerns and critical findings.
- Enabled real-time progress tracking through an interactive HTML dashboard.
- Included mechanisms for deep-dive analysis and remediation planning for critical issues.
2025-11-25 17:15:37 +08:00
catlog22
1e69539837 refactor: update documentation for review-cycle and test-cycle-execute workflows 2025-11-25 16:26:45 +08:00
catlog22
cd206f275e Add JSON schemas for deep-dive results and dimension analysis
- Introduced `review-deep-dive-results-schema.json` to define the structure for deep-dive iteration analysis results, including root cause analysis, remediation plans, and impact assessments.
- Added `review-dimension-results-schema.json` to outline the schema for dimension analysis results, capturing findings across various dimensions such as security and architecture, along with cross-references to related findings.
2025-11-25 16:16:11 +08:00
catlog22
d99448ffd5 feat: add syntax check priority in @test-fix-agent prompt
Enhancement:
- Added "CRITICAL: Syntax Check Priority" section in @test-fix-agent template
- Positioned before Session Paths for maximum visibility

Requirements:
- Run syntax checker (TypeScript tsc --noEmit, ESLint, etc.) BEFORE any work
- Verify zero syntax errors before proceeding
- Fix syntax errors immediately if found
- Syntax validation is MANDATORY gate - no exceptions

Scope:
- Applies to all task types (test-gen, test-fix, test-fix-iteration)
- Agent-level enforcement (not in orchestrator flow)

Rationale:
- Syntax errors must be fixed before functional testing
- Prevents cascading failures from basic syntax issues
- Reduces iteration waste on trivial syntax problems
2025-11-25 11:22:11 +08:00
catlog22
217f30044a refactor: remove parallel strategy exploration feature
Removed Features:
- Parallel Strategy Exploration (3. Enhanced Features)
- Exploratory strategy from strategy engine
- Git worktree-based parallel execution
- IMPL-fix-{N}-parallel.json task type

Strategy Engine Changes:
- Removed "Exploratory" strategy (was: stuck tests trigger)
- Updated selection logic: conservative → aggressive → surgical
- Simplified to 3 strategies (was 4)

File Structure Changes:
- Removed IMPL-fix-{N}-parallel.json from session structure
- Removed worktrees from commit content exclusions

Error Handling Changes:
- Updated stuck tests handling: "Continue with alternative strategy, document in failure report"
- No longer switches to exploratory/parallel mode

Commit Strategy Changes:
- Removed "After Parallel Exploration" commit checkpoint
- Renumbered checkpoints: 1. Success, 2. Rollback (was 1,2,3)

Documentation Changes:
- Removed Value Proposition #4 (Stuck Handling via parallel)
- Updated execution flow (removed exploratory alternatives)
- Removed Strategy-Specific Requirements for Exploratory
- Removed Best Practices #6 (Parallel Exploration)
- Applied user changes: removed "Simplified Structure" text, updated CLI to "gemini & codex"

Rationale: Simplify workflow by removing parallel execution complexity
Lines: 596 → 494 (-17%, total -38% from original 791)
2025-11-25 09:28:00 +08:00
catlog22
7e60e3e198 refactor: remove redundant fields from task JSON and simplify data structure 2025-11-25 09:16:04 +08:00
catlog22
783ee4b570 refactor: remove hardcoded model specification in agent invocation
Changes:
- Removed model="haiku" from @test-fix-agent parallel invocation
- Use default model selection for flexibility
- Updated comment to remove model reference

Rationale:
- Let system auto-select appropriate model
- Avoid hardcoded configuration
- Maintain flexibility for future model changes
2025-11-25 09:11:45 +08:00
catlog22
7725e733b0 refactor: simplify iteration-state.json by removing redundant fields
Based on Gemini architectural analysis (verdict: "File necessary but simplify"):

Removed Redundant Fields:
- session_id → Derive from file path or workflow-session.json
- current_iteration → Calculate as iterations.length + 1
- max_iterations → Read from task.meta.max_iterations (single source)
- stuck_tests → Calculate by analyzing iterations[].failed_tests history
- regression_detected → Calculate from consecutive pass_rate values

Retained Essential Fields:
- current_task: Active task pointer (Resume critical)
- selected_strategy: Current iteration strategy (runtime state)
- next_action: State machine next step (Resume critical)
- iterations[]: Historical log (source of truth, cannot rebuild)

Enhanced iterations[] Array:
- Added failed_tests[] to each entry (was stuck_tests at top-level)
- Removed redundant regression_detected (calculated from pass_rate)

Benefits:
- Single source of truth (no data duplication)
- Less state to maintain and synchronize
- Clearer data ownership and calculation points
- Adheres to data normalization principles

Documentation Updates:
- Added "Purpose" and "Field Descriptions" sections
- Added "Removed Redundant Fields" with derivation logic
- Updated orchestrator responsibilities (Runtime Calculations)
- Updated agent template (Orchestrator-Calculated metadata)

Impact: File remains essential for Resume capability, but now leaner and normalized.
2025-11-25 09:08:41 +08:00
catlog22
2e8fe1e77a refactor: address Gemini review recommendations
Based on comprehensive Gemini analysis (Overall: Excellent), implemented 3 improvements:

1. Clarified CLI Fallback Triggers
   - Added 4 concrete trigger conditions (invalid output, low confidence, technical failures, quality degradation)
   - Defined confidence_score threshold: < 0.4
   - Specified fallback sequence with final degraded mode

2. Detailed Parallel Exploration Operations
   - Added "Operational Lifecycle" (7-step process: setup → execute → collect → select → apply → cleanup → commit)
   - Resource considerations: 3x CPU/memory, 10min timeout per branch
   - Error handling: worktree failure fallback, partial success handling

3. Explicit Commit Strategy
   - New "Commit Strategy" section with automatic commits at 3 checkpoints
   - After successful iteration (pass rate increased)
   - After parallel exploration (winning strategy)
   - Before rollback (regression detected)
   - Updated Best Practices #2: "Automatic Commits" (no manual intervention)

Changes:
- Lines: 515 → 596 (+81 for clarity, still -25% from original 791)
- Reduced ambiguity in critical automation points
- Enhanced operational robustness documentation

Gemini Assessment: "Exceptional technical documentation", "Robust design", "Clear and comprehensive"
2025-11-24 23:16:22 +08:00
catlog22
32c9595818 feat: add universal @test-fix-agent invocation template
Enhancement:
- Add dynamic prompt template for @test-fix-agent
- Supports 3 task types: test-gen, test-fix, test-fix-iteration
- Auto-adapts based on task.meta.type via configuration maps

Template Features:
- taskTypeObjective: Task-specific goals
- taskTypeSpecificReads: Required file reads per type
- taskTypeGuidance: Execution instructions per type
- taskTypeDeliverables: Expected outputs per type
- taskTypeSuccessCriteria: Completion validation per type

Benefits:
- Orchestrator uses single template for all task types
- Claude dynamically fills in type-specific details
- Reduces duplication, maintains consistency
- Clear guidance for criticality assessment (high/medium/low)
- Progressive testing integration (affected_only vs full_suite)

Lines: +86 (429 → 515, still -35% from original 791)
2025-11-24 23:09:24 +08:00
catlog22
bb427dc639 refactor: reorganize test-cycle-execute structure for clarity
Structure Changes:
- Quick Start → What & Why → How It Works → Enhanced Features → Reference
- User-facing content first, technical details later
- 540 → 429 lines (-21%, total -46% from original 791)

Improvements:
- Usage examples at top (immediate access)
- Simplified "How It Works" section (tree diagram)
- Agent roles as table (quick reference)
- Technical details moved to Reference section
- All core features preserved

Benefits:
- New users find usage commands immediately
- Conceptual understanding before technical details
- Reference section for implementation details
- Maintains all functionality and enhancements
2025-11-24 23:05:03 +08:00
catlog22
97b2247896 feat: enhance test-cycle-execute with intelligent iteration strategies
Optimizations:
- Reduced file size: 791 → 540 lines (-32%)
- Merged redundant sections (Overview + Philosophy + Responsibility Matrix)
- Simplified JSON examples and execution flow descriptions

Enhancements:
1. Intelligent Strategy Engine
   - 4 strategies: conservative/aggressive/exploratory/surgical
   - Auto-selection based on pass rate, stuck tests, regression

2. Progressive Testing
   - Run affected tests during iterations (70-90% faster)
   - Full suite on final validation

3. Parallel Strategy Exploration
   - Trigger on stuck tests (3+ consecutive failures)
   - Git worktree-based parallel execution
   - Select best result by pass rate

Changes:
- Max iterations: 5 → 10
- CLI tools: Gemini/Qwen → Gemini/Qwen/Codex (fallback chain)
- Add strategy metadata to iteration-state.json
- Add test_execution config to fix task JSON

Impact:
- Faster iterations via progressive testing
- Better stuck situation handling via parallel exploration
- Adaptive strategy selection for complex scenarios
2025-11-24 23:02:46 +08:00
catlog22
ed7dfad0a5 docs: update README files to version 5.9.3 2025-11-24 22:09:03 +08:00
catlog22
19acaea0f9 feat: add exploration and plan JSON schemas for task context and planning 2025-11-24 21:57:19 +08:00
catlog22
481a716c09 docs: update workflow initialization documentation and add project metadata schema 2025-11-24 21:46:44 +08:00
catlog22
07775cda30 fix: correct spelling of 'cli-execution-agent' in documentation 2025-11-24 21:46:08 +08:00
catlog22
3acf6fcba8 docs: enhance test task generation documentation with existing test infrastructure and framework usage 2025-11-24 21:14:32 +08:00
catlog22
f798dd4172 refactor: consolidate workflow commands and add UI design templates
1. Remove deprecated task-generate.md
   - Replaced by task-generate-agent.md in previous commits
   - Clean up duplicate command documentation

2. Update ui-design-agent.md
   - Refine agent specifications and workflow integration

3. Add UI design template files
   - Create ~/.claude/workflows/cli-templates/ui-design/systems/
   - Add animation-tokens.json for animation and transition patterns
   - Add design-tokens.json for color, typography, spacing tokens
   - Add layout-templates.json for structural layout patterns
   - Modular design system management

4. Update analyze_commands.py
   - Enhance command analysis capabilities
   - Improve metadata extraction

Key improvements:
- Remove duplicate/deprecated documentation
- Modular UI design template management
- Better workflow command organization
2025-11-24 19:36:33 +08:00
catlog22
aabc6294f4 refactor: optimize test workflow commands and extract templates
1. Optimize test-task-generate.md structure
   - Simplify from 417 lines to 217 lines (~48% reduction)
   - Reference task-generate-agent.md structure for consistency
   - Enhance agent prompt with clear specifications:
     * Explicit agent configuration reference
     * Detailed TEST_ANALYSIS_RESULTS.md integration mapping
     * Complete test-fix cycle configuration
     * Clear task structure requirements (IMPL-001 test-gen, IMPL-002+ test-fix)
   - Fix format errors (remove nested code blocks in agent prompt)
   - Emphasize "planning only" nature (does NOT execute tests)

2. Refactor test-concept-enhanced.md to use cli-execute-agent
   - Simplify from 463 lines to 142 lines (~69% reduction)
   - Change from direct Gemini execution to cli-execute-agent delegation
   - Extract Gemini prompt template to separate file:
     * Create ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.txt
     * Use $(cat ~/.claude/...) pattern for template reference
   - Clarify responsibility separation:
     * Command: Workflow coordination and validation
     * Agent: Execute Gemini analysis and generate outputs
   - Agent generates both gemini-test-analysis.md and TEST_ANALYSIS_RESULTS.md
   - Remove verbose embedded prompts and output format descriptions

Key improvements:
- Modular template management for easier maintenance
- Clear command vs agent responsibility separation
- Consistent documentation structure across workflow commands
- Enhanced agent prompts ensure correct output generation
- Use ~/.claude paths for installed workflow location
2025-11-24 19:33:02 +08:00
catlog22
adbb2070bb docs: update action-planning-agent and task-generate-agent documentation to clarify loading strategies and steps 2025-11-24 10:47:37 +08:00
catlog22
3c9cf3a677 docs: enhance action-planning-agent and task-generate-agent documentation with progressive loading strategy and smart artifact selection 2025-11-24 10:36:06 +08:00
catlog22
ff808ed539 docs: update task-generate-agent documentation for clarity on planning document generation and execution phases 2025-11-23 22:57:43 +08:00
catlog22
99a5c75b13 docs: enhance task generation agent documentation with progressive loading strategy and smart artifact selection 2025-11-23 22:44:11 +08:00
catlog22
7453987cfe Add documentation for new CLI commands: docs-related-cli and lite-fix
- Implemented the `docs-related-cli` command for context-aware documentation generation and update for changed modules using CLI execution with tool fallback.
- Introduced the `lite-fix` command for lightweight bug diagnosis and fix workflow, featuring intelligent severity assessment and optional hotfix mode for production incidents.
2025-11-23 22:18:39 +08:00
catlog22
4bb4bdc124 refactor: migrate agents to path-based context loading
- Update action-planning-agent and task-generate-agent to load context
  via file paths instead of embedded context packages
- Streamline test-cycle-execute workflow execution
- Remove redundant content from conflict-resolution and context-gather
- Update SKILL.md and tdd-plan documentation
2025-11-23 22:06:13 +08:00
catlog22
3915f7cb35 docs: update execute.md to clarify task loading and resume mode behavior 2025-11-23 21:18:30 +08:00
catlog22
657af628fd refactor: remove performance metrics and context management details from execute.md 2025-11-23 21:13:49 +08:00
catlog22
b649360cd6 docs: update agent documentation for context package and execution responsibilities 2025-11-23 21:04:25 +08:00
catlog22
20aa0f3a0b feat: add agent-task execution rules to ensure one agent per task JSON 2025-11-23 20:37:03 +08:00
catlog22
c8dd1adc69 docs: update WORKFLOW_DECISION_GUIDE with lite-fix workflow integration
- Add Bug Fix decision branch at workflow entry point (Q0)
- Integrate lite-fix workflow into decision flowchart
  - Standard bug fix path with adaptive severity assessment
  - Hotfix mode for production incidents
  - Diagnostic fallback for unclear root causes
- Add comprehensive lite-fix documentation:
  - 6-phase workflow explanation
  - Session artifacts structure
  - Risk scoring and workflow adaptation
  - Standard vs hotfix mode comparison
- Add two new scenarios:
  - Scenario D: Standard bug fix workflow
  - Scenario E: Production hotfix workflow
- Update quick reference tables:
  - Add bug fix commands by knowledge level
  - Add bug fix stage in project lifecycle
  - Add Lite-Fix workflow mode
- Update best practices and common pitfalls
- Update version to 5.9.2

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 20:16:30 +08:00
catlog22
d53e7e18db docs: update README files to version 5.9.2 with lite-fix enhancements
- Add English README.md based on Chinese version
- Update version badges to v5.9.2 in both README files
- Add Lite-Fix workflow documentation and examples
- Document session artifact structure and management
- Include lite-fix quick start examples (standard and hotfix modes)
- Align with latest lite-fix session management features

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 20:11:48 +08:00
catlog22
0207677857 feat: enhance lite-fix workflow with session folder setup and artifact management 2025-11-23 20:05:34 +08:00
catlog22
72f27fb2f8 feat: add implementation_approach command field execution mode
- Add CLI mode example to implementation_approach showing optional command field
- Document two execution modes:
  1. Default Mode (agent execution): No command field, agent interprets steps
  2. CLI Mode (command execution): With command field, uses CLI tools (codex/gemini/qwen)

- Add Implementation Approach Execution Modes section with:
  - Mode descriptions and use cases
  - Required fields for each mode
  - Command patterns for CLI mode (codex, gemini)
  - Mode selection strategy

- Simplify implementation_approach examples to use generic placeholders
- Emphasize command field is optional, agent decides based on task complexity

Benefits:
- Clear documentation of both execution patterns
- Agents understand when to use CLI tools vs direct execution
- Pattern examples show structure without over-specifying content
- Supports both autonomous agent work and CLI tool delegation

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 19:42:08 +08:00
catlog22
be129f5821 refactor: simplify pre_analysis JSON examples to show patterns only
- Simplify pre_analysis JSON examples to focus on structure patterns
- Replace specific commands with generic placeholders ([pattern], [lang], [N])
- Reduce OPTIONAL section to 5 key pattern examples (vs 12 detailed examples)
- Condense dynamic adaptation guide to essential principles
- Remove overly detailed command examples that could mislead

Benefits:
- Clearer focus on structure patterns rather than specific implementations
- Reduced cognitive load - easier to understand the schema
- Less risk of agents copying specific examples blindly
- More flexibility for agents to create task-appropriate steps

Pattern examples now show:
- Project structure analysis pattern
- Local search pattern (bash/rg/find)
- Gemini CLI pattern
- Qwen CLI pattern
- MCP tools pattern

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 19:39:34 +08:00
catlog22
b1bb74af0d feat: enhance pre_analysis with comprehensive CLI examples and dynamic guidance
- Add extensive pre_analysis examples organized by category:
  - Required context loading steps
  - Project structure analysis
  - Local codebase exploration (bash/rg/find)
  - Gemini CLI analysis (architecture, execution flow)
  - Qwen CLI analysis (code quality, fallback)
  - MCP tools integration
  - Tech-specific searches (React, database, etc.)

- Add "举一反三" (draw inferences) principle with detailed guidance:
  - Dynamic step selection based on task type
  - Tool selection strategy (Gemini/Qwen/Bash/MCP)
  - Task-specific adaptation examples (security, performance, API)
  - Command composition patterns

- Emphasize that examples are reference templates, not fixed requirements
- Agent must dynamically select and adapt steps based on actual task needs
- Provide clear guidelines for when to use each type of analysis tool

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 19:36:47 +08:00
catlog22
a7a654805c refactor: remove context_signature field from task JSON schema
- Remove context_signature field from meta object
- Simplify meta object to focus on essential fields
- Keep execution_group for parallelization support

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 19:33:29 +08:00
catlog22
c0c894ced1 feat: enhance action-planning-agent task JSON schema definition
- Add missing top-level field: context_package_path
- Add missing context fields: parent, inherited, shared_context
- Add meta fields for parallelization: execution_group, context_signature
- Fix status enumeration: pending|active|completed|blocked|container
- Fix meta.type enumeration: distinguish test-gen from test-fix
- Expand meta.agent options: add action-planning-agent, test-fix-agent, universal-executor
- Enhance artifacts structure: add source, usage, contains fields
- Restructure schema presentation into 4 clear sections
- Add practical pre_analysis examples with CLI bash search commands
- Emphasize quantification requirements for requirements/acceptance fields

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 19:24:46 +08:00
catlog22
7517f4f8ec docs: clarify manifest.json location in plan.md Phase 1
Add explicit note in Phase 1 validation to prevent main Claude from
incorrectly looking for manifest.json in .workflow/active/WFS-xxx/.

manifest.json only exists in .workflow/archives/ (for archived sessions).
Active sessions only have workflow-session.json (metadata).

This prevents confusion during plan execution before agent invocation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 13:44:02 +08:00
catlog22
0b45ff7345 docs: clarify optional historical archive analysis in context-search-agent
Add note in Phase 2 to clarify that historical archive analysis
(querying .workflow/archives/manifest.json) is optional, addressing
discrepancy between context-gather.md (4 tracks) and agent implementation
(3 tracks).

This prevents confusion about manifest.json location and makes the
optional nature of archive querying explicit.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 13:39:36 +08:00
catlog22
0416b23186 feat: add context-package.json sync to synthesis and design-sync workflows
Add Phase 6 to both synthesis.md and design-sync.md to automatically
update context-package.json when artifacts are modified, preventing
stale cache issues when transitioning to /workflow:plan.

Changes:
- synthesis.md: Add Phase 6 to sync updated role analyses to context-package
- design-sync.md: Add Phase 5 to sync design system refs + role analyses

This ensures:
- synthesis → plan: context-package reflects synthesis enhancements
- ui-design → plan: context-package includes design system references
- No manual context-gather re-run needed after artifact updates

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 12:53:08 +08:00
catlog22
948cf3fcd7 fix: prevent unwanted auto-commits during CLI tool execution 2025-11-23 12:29:44 +08:00
catlog22
4272ca9ebd Add CLI commands for full and related documentation generation
- Implemented `/memory:docs-full-cli` for comprehensive project documentation generation using CLI execution with batched agents and tool fallback.
- Introduced `/memory:docs-related-cli` to generate/update documentation for git-changed modules, optimizing for efficiency with direct parallel execution for fewer modules and agent batch processing for larger sets.
- Defined execution flows, strategies, and error handling for both commands, ensuring robust documentation processes.
2025-11-23 11:27:23 +08:00
catlog22
73fed4893b docs: Generate ARCHITECTURE.md and EXAMPLES.md
Generated system design and usage examples documentation based on project
context and provided templates.

ARCHITECTURE.md provides an overview of the system's architecture,
including core principles, structure, module map, interactions, design patterns,
API overview, data flow, security, and scalability.

EXAMPLES.md offers end-to-end usage examples, covering quick start, core use cases,
advanced scenarios, testing examples, and best practices.
2025-11-23 11:23:21 +08:00
catlog22
f09c6e2a7a docs: Generate comprehensive project overview README.md 2025-11-23 11:20:35 +08:00
catlog22
65a204a563 fix: enforce synchronous bash execution in memory update workflows
Explicitly set run_in_background: false for all Bash commands in update-full and update-related workflows to prevent unwanted background execution. This ensures synchronous execution without requiring BashOutput polling.

Changes:
- Phase 1-4: Add run_in_background: false to all Bash calls
- Simplify code examples and remove redundant explanations
- Update both direct execution and agent batch execution patterns

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 10:23:30 +08:00
catlog22
ffbc440a7e feat: optimize file tracking in installation process with bulk operations 2025-11-23 09:50:51 +08:00
689 changed files with 234707 additions and 29132 deletions

33
.claude/CLAUDE.md Normal file
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@@ -0,0 +1,33 @@
# Claude Instructions
- **CLI Tools Usage**: @~/.claude/workflows/cli-tools-usage.md
- **Coding Philosophy**: @~/.claude/workflows/coding-philosophy.md
- **Context Requirements**: @~/.claude/workflows/context-tools-ace.md
- **File Modification**: @~/.claude/workflows/file-modification.md
- **CLI Endpoints Config**: @.claude/cli-tools.json
## CLI Endpoints
**Strictly follow the @.claude/cli-tools.json configuration**
Available CLI endpoints are dynamically defined by the config file:
- Built-in tools and their enable/disable status
- Custom API endpoints registered via the Dashboard
- Managed through the CCW Dashboard Status page
## Tool Execution
### Agent Calls
- **Always use `run_in_background: false`** for Task tool agent calls: `Task({ subagent_type: "xxx", prompt: "...", run_in_background: false })` to ensure synchronous execution and immediate result visibility
- **TaskOutput usage**: Only use `TaskOutput({ task_id: "xxx", block: false })` + sleep loop to poll completion status. NEVER read intermediate output during agent/CLI execution - wait for final result only
### CLI Tool Calls (ccw cli)
- **Always use `run_in_background: true`** for Bash tool when calling ccw cli:
```
Bash({ command: "ccw cli -p '...' --tool gemini", run_in_background: true })
```
- **After CLI call**: If no other tasks, stop immediately - let CLI execute in background, do NOT poll with TaskOutput
## Code Diagnostics
- **Prefer `mcp__ide__getDiagnostics`** for code error checking over shell-based TypeScript compilation

View File

@@ -0,0 +1,4 @@
{
"interval": "manual",
"tool": "gemini"
}

File diff suppressed because it is too large Load Diff

View File

@@ -67,7 +67,7 @@ Score = 0
**1. Project Structure**:
```bash
~/.claude/scripts/get_modules_by_depth.sh
ccw tool exec get_modules_by_depth '{}'
```
**2. Content Search**:
@@ -100,7 +100,7 @@ CONTEXT: @**/*
# Specific patterns
CONTEXT: @CLAUDE.md @src/**/* @*.ts
# Cross-directory (requires --include-directories)
# Cross-directory (requires --includeDirs)
CONTEXT: @**/* @../shared/**/* @../types/**/*
```
@@ -134,7 +134,7 @@ RULES: $(cat {selected_template}) | {constraints}
```
analyze|plan → gemini (qwen fallback) + mode=analysis
execute (simple|medium) → gemini (qwen fallback) + mode=write
execute (complex) → codex + mode=auto
execute (complex) → codex + mode=write
discuss → multi (gemini + codex parallel)
```
@@ -144,43 +144,40 @@ discuss → multi (gemini + codex parallel)
- Codex: `gpt-5` (default), `gpt5-codex` (large context)
- **Position**: `-m` after prompt, before flags
### Command Templates
### Command Templates (CCW Unified CLI)
**Gemini/Qwen (Analysis)**:
```bash
cd {dir} && gemini -p "
ccw cli -p "
PURPOSE: {goal}
TASK: {task}
MODE: analysis
CONTEXT: @**/*
EXPECTED: {output}
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/pattern.txt)
" -m gemini-2.5-pro
" --tool gemini --mode analysis --cd {dir}
# Qwen fallback: Replace 'gemini' with 'qwen'
# Qwen fallback: Replace '--tool gemini' with '--tool qwen'
```
**Gemini/Qwen (Write)**:
```bash
cd {dir} && gemini -p "..." --approval-mode yolo
ccw cli -p "..." --tool gemini --mode write --cd {dir}
```
**Codex (Auto)**:
**Codex (Write)**:
```bash
codex -C {dir} --full-auto exec "..." --skip-git-repo-check -s danger-full-access
# Resume: Add 'resume --last' after prompt
codex --full-auto exec "..." resume --last --skip-git-repo-check -s danger-full-access
ccw cli -p "..." --tool codex --mode write --cd {dir}
```
**Cross-Directory** (Gemini/Qwen):
```bash
cd src/auth && gemini -p "CONTEXT: @**/* @../shared/**/*" --include-directories ../shared
ccw cli -p "CONTEXT: @**/* @../shared/**/*" --tool gemini --mode analysis --cd src/auth --includeDirs ../shared
```
**Directory Scope**:
- `@` only references current directory + subdirectories
- External dirs: MUST use `--include-directories` + explicit CONTEXT reference
- External dirs: MUST use `--includeDirs` + explicit CONTEXT reference
**Timeout**: Simple 20min | Medium 40min | Complex 60min (Codex ×1.5)

View File

@@ -1,620 +1,182 @@
---
name: cli-explore-agent
description: |
Read-only code exploration and structural analysis agent specialized in module discovery, dependency mapping, and architecture comprehension using dual-source strategy (Bash rapid scan + Gemini CLI semantic analysis).
Core capabilities:
- Multi-layer module structure analysis (directory tree, file patterns, symbol discovery)
- Dependency graph construction (imports, exports, call chains, circular detection)
- Pattern discovery (design patterns, architectural styles, naming conventions)
- Code provenance tracing (definition lookup, usage sites, call hierarchies)
- Architecture summarization (component relationships, integration points, data flows)
Integration points:
- Gemini CLI: Deep semantic understanding, design intent analysis, non-standard pattern discovery
- Qwen CLI: Fallback for Gemini, specialized for code analysis tasks
- Bash tools: rg, tree, find, get_modules_by_depth.sh for rapid structural scanning
- MCP Code Index: Optional integration for enhanced file discovery and search
Key optimizations:
- Dual-source strategy: Bash structural scan (speed) + Gemini semantic analysis (depth)
- Language-agnostic analysis with syntax-aware extensions
- Progressive disclosure: Quick overview → detailed analysis → dependency deep-dive
- Context-aware filtering based on task requirements
Read-only code exploration agent with dual-source analysis strategy (Bash + Gemini CLI).
Orchestrates 4-phase workflow: Task Understanding → Analysis Execution → Schema Validation → Output Generation
color: yellow
---
You are a specialized **CLI Exploration Agent** that executes read-only code analysis tasks autonomously to discover module structures, map dependencies, and understand architectural patterns.
You are a specialized CLI exploration agent that autonomously analyzes codebases and generates structured outputs.
## Agent Operation
## Core Capabilities
### Execution Flow
1. **Structural Analysis** - Module discovery, file patterns, symbol inventory via Bash tools
2. **Semantic Understanding** - Design intent, architectural patterns via Gemini/Qwen CLI
3. **Dependency Mapping** - Import/export graphs, circular detection, coupling analysis
4. **Structured Output** - Schema-compliant JSON generation with validation
```
STEP 1: Parse Analysis Request
→ Extract task intent (structure, dependencies, patterns, provenance, summary)
→ Identify analysis mode (quick-scan | deep-scan | dependency-map)
→ Determine scope (directory, file patterns, language filters)
STEP 2: Initialize Analysis Environment
→ Set project root and working directory
→ Validate access to required tools (rg, tree, find, Gemini CLI)
→ Optional: Initialize Code Index MCP for enhanced discovery
→ Load project context (CLAUDE.md, architecture docs)
STEP 3: Execute Dual-Source Analysis
→ Phase 1 (Bash Structural Scan): Fast pattern-based discovery
→ Phase 2 (Gemini Semantic Analysis): Deep understanding and intent extraction
→ Phase 3 (Synthesis): Merge results with conflict resolution
STEP 4: Generate Analysis Report
→ Structure findings by task intent
→ Include file paths, line numbers, code snippets
→ Build dependency graphs or architecture diagrams
→ Provide actionable recommendations
STEP 5: Validation & Output
→ Verify report completeness and accuracy
→ Format output as structured markdown or JSON
→ Return analysis without file modifications
```
### Core Principles
**Read-Only & Stateless**: Execute analysis without file modifications, maintain no persistent state between invocations
**Dual-Source Strategy**: Combine Bash structural scanning (fast, precise patterns) with Gemini CLI semantic understanding (deep, contextual)
**Progressive Disclosure**: Start with quick structural overview, progressively reveal deeper layers based on analysis mode
**Language-Agnostic Core**: Support multiple languages (TypeScript, Python, Go, Java, Rust) with syntax-aware extensions
**Context-Aware Filtering**: Apply task-specific relevance filters to focus on pertinent code sections
## Analysis Modes
You execute 3 distinct analysis modes, each with different depth and output characteristics.
### Mode 1: Quick Scan (Structural Overview)
**Purpose**: Rapid structural analysis for initial context gathering or simple queries
**Tools**: Bash commands (rg, tree, find, get_modules_by_depth.sh)
**Process**:
1. **Project Structure**: Run get_modules_by_depth.sh for hierarchical overview
2. **File Discovery**: Use find/glob patterns to locate relevant files
3. **Pattern Matching**: Use rg for quick pattern searches (class, function, interface definitions)
4. **Basic Metrics**: Count files, lines, major components
**Output**: Structured markdown with directory tree, file lists, basic component inventory
**Time Estimate**: 10-30 seconds
**Use Cases**:
- Initial project exploration
- Quick file/pattern lookups
- Pre-planning reconnaissance
- Context package generation (breadth-first)
### Mode 2: Deep Scan (Semantic Analysis)
**Purpose**: Comprehensive understanding of code intent, design patterns, and architectural decisions
**Tools**: Bash commands (Phase 1) + Gemini CLI (Phase 2) + Synthesis (Phase 3)
**Process**:
**Phase 1: Bash Structural Pre-Scan** (Fast & Precise)
- Purpose: Discover standard patterns with zero ambiguity
- Execution:
```bash
# TypeScript/JavaScript
rg "^export (class|interface|type|function) " --type ts -n --max-count 50
rg "^import .* from " --type ts -n | head -30
# Python
rg "^(class|def) \w+" --type py -n --max-count 50
rg "^(from|import) " --type py -n | head -30
# Go
rg "^(type|func) \w+" --type go -n --max-count 50
rg "^import " --type go -n | head -30
```
- Output: Precise file:line locations for standard definitions
- Strengths: ✅ Fast (seconds) | ✅ Zero false positives | ✅ Complete for standard patterns
**Phase 2: Gemini Semantic Understanding** (Deep & Comprehensive)
- Purpose: Discover Phase 1 missed patterns and understand design intent
- Tools: Gemini CLI (Qwen as fallback)
- Execution Mode: `analysis` (read-only)
- Tasks:
* Identify non-standard naming conventions (helper_, util_, custom prefixes)
* Analyze semantic comments for architectural intent (/* Core service */, # Main entry point)
* Discover implicit dependencies (runtime imports, reflection-based loading)
* Detect design patterns (singleton, factory, observer, strategy)
* Extract architectural layers and component responsibilities
- Output: `${intermediates_dir}/gemini-semantic-analysis.json`
```json
{
"bash_missed_patterns": [
{
"pattern_type": "non_standard_export",
"location": "src/services/helper_auth.ts:45",
"naming_convention": "helper_ prefix pattern",
"confidence": "high"
}
],
"design_intent_summary": "Layered architecture with service-repository pattern",
"architectural_patterns": ["MVC", "Dependency Injection", "Repository Pattern"],
"implicit_dependencies": ["Config loaded via environment", "Logger injected at runtime"],
"recommendations": ["Standardize naming to match project conventions"]
}
```
- Strengths: ✅ Discovers hidden patterns | ✅ Understands intent | ✅ Finds non-standard code
**Phase 3: Dual-Source Synthesis** (Best of Both)
- Merge Bash (precise locations) + Gemini (semantic understanding)
- Strategy:
* Standard patterns: Use Bash results (file:line precision)
* Supplementary discoveries: Adopt Gemini findings
* Conflicting interpretations: Use Gemini semantic context for resolution
- Validation: Cross-reference both sources for completeness
- Attribution: Mark each finding as "bash-discovered" or "gemini-discovered"
**Output**: Comprehensive analysis report with architectural insights, design patterns, code intent
**Time Estimate**: 2-5 minutes
**Use Cases**:
- Architecture review and refactoring planning
- Understanding unfamiliar codebase sections
- Pattern discovery for standardization
- Pre-implementation deep-dive
### Mode 3: Dependency Map (Relationship Analysis)
**Purpose**: Build complete dependency graphs with import/export chains and circular dependency detection
**Tools**: Bash + Gemini CLI + Graph construction logic
**Process**:
1. **Direct Dependencies** (Bash):
```bash
# Extract all imports
rg "^import .* from ['\"](.+)['\"]" --type ts -o -r '$1' -n
# Extract all exports
rg "^export .* (class|function|const|type|interface) (\w+)" --type ts -o -r '$2' -n
```
2. **Transitive Analysis** (Gemini):
- Identify runtime dependencies (dynamic imports, reflection)
- Discover implicit dependencies (global state, environment variables)
- Analyze call chains across module boundaries
3. **Graph Construction**:
- Build directed graph: nodes (files/modules), edges (dependencies)
- Detect circular dependencies with cycle detection algorithm
- Calculate metrics: in-degree, out-degree, centrality
- Identify architectural layers (presentation, business logic, data access)
4. **Risk Assessment**:
- Flag circular dependencies with impact analysis
- Identify highly coupled modules (fan-in/fan-out >10)
- Detect orphaned modules (no inbound references)
- Calculate change risk scores
**Output**: Dependency graph (JSON/DOT format) + risk assessment report
**Time Estimate**: 3-8 minutes (depends on project size)
**Use Cases**:
- Refactoring impact analysis
- Module extraction planning
- Circular dependency resolution
- Architecture optimization
## Tool Integration
### Bash Structural Tools
**get_modules_by_depth.sh**:
- Purpose: Generate hierarchical project structure
- Usage: `bash ~/.claude/scripts/get_modules_by_depth.sh`
- Output: Multi-level directory tree with depth indicators
**rg (ripgrep)**:
- Purpose: Fast content search with regex support
- Common patterns:
```bash
# Find class definitions
rg "^(export )?class \w+" --type ts -n
# Find function definitions
rg "^(export )?(function|const) \w+\s*=" --type ts -n
# Find imports
rg "^import .* from" --type ts -n
# Find usage sites
rg "\bfunctionName\(" --type ts -n -C 2
```
**tree**:
- Purpose: Directory structure visualization
- Usage: `tree -L 3 -I 'node_modules|dist|.git'`
**find**:
- Purpose: File discovery by name patterns
- Usage: `find . -name "*.ts" -type f | grep -v node_modules`
### Gemini CLI (Primary Semantic Analysis)
**Command Template**:
```bash
cd [target_directory] && gemini -p "
PURPOSE: [Analysis objective - what to discover and why]
TASK:
• [Specific analysis task 1]
• [Specific analysis task 2]
• [Specific analysis task 3]
MODE: analysis
CONTEXT: @**/* | Memory: [Previous findings, related modules, architectural context]
EXPECTED: [Report format, key insights, specific deliverables]
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-code-patterns.txt) | Focus on [scope constraints] | analysis=READ-ONLY
" -m gemini-2.5-pro
```
**Use Cases**:
- Non-standard pattern discovery
- Design intent extraction
- Architectural layer identification
- Code smell detection
**Fallback**: Qwen CLI with same command structure
### MCP Code Index (Optional Enhancement)
**Tools**:
- `mcp__code-index__set_project_path(path)` - Initialize index
- `mcp__code-index__find_files(pattern)` - File discovery
- `mcp__code-index__search_code_advanced(pattern, file_pattern, regex)` - Content search
- `mcp__code-index__get_file_summary(file_path)` - File structure analysis
**Integration Strategy**: Use as primary discovery tool when available, fallback to bash/rg otherwise
## Output Formats
### Structural Overview Report
```markdown
# Code Structure Analysis: {Module/Directory Name}
## Project Structure
{Output from get_modules_by_depth.sh}
## File Inventory
- **Total Files**: {count}
- **Primary Language**: {language}
- **Key Directories**:
- `src/`: {brief description}
- `tests/`: {brief description}
## Component Discovery
### Classes ({count})
- {ClassName} - {file_path}:{line_number} - {brief description}
### Functions ({count})
- {functionName} - {file_path}:{line_number} - {brief description}
### Interfaces/Types ({count})
- {TypeName} - {file_path}:{line_number} - {brief description}
## Analysis Summary
- **Complexity**: {low|medium|high}
- **Architecture Style**: {pattern name}
- **Key Patterns**: {list}
```
### Semantic Analysis Report
```markdown
# Deep Code Analysis: {Module/Directory Name}
## Executive Summary
{High-level findings from Gemini semantic analysis}
## Architectural Patterns
- **Primary Pattern**: {pattern name}
- **Layer Structure**: {layers identified}
- **Design Intent**: {extracted from comments/structure}
## Dual-Source Findings
### Bash Structural Scan Results
- **Standard Patterns Found**: {count}
- **Key Exports**: {list with file:line}
- **Import Structure**: {summary}
### Gemini Semantic Discoveries
- **Non-Standard Patterns**: {list with explanations}
- **Implicit Dependencies**: {list}
- **Design Intent Summary**: {paragraph}
- **Recommendations**: {list}
### Synthesis
{Merged understanding with attributed sources}
## Code Inventory (Attributed)
### Classes
- {ClassName} [{bash-discovered|gemini-discovered}]
- Location: {file}:{line}
- Purpose: {from semantic analysis}
- Pattern: {design pattern if applicable}
### Functions
- {functionName} [{source}]
- Location: {file}:{line}
- Role: {from semantic analysis}
- Callers: {list if known}
## Actionable Insights
1. {Finding with recommendation}
2. {Finding with recommendation}
```
### Dependency Map Report
```json
{
"analysis_metadata": {
"project_root": "/path/to/project",
"timestamp": "2025-01-25T10:30:00Z",
"analysis_mode": "dependency-map",
"languages": ["typescript"]
},
"dependency_graph": {
"nodes": [
{
"id": "src/auth/service.ts",
"type": "module",
"exports": ["AuthService", "login", "logout"],
"imports_count": 3,
"dependents_count": 5,
"layer": "business-logic"
}
],
"edges": [
{
"from": "src/auth/controller.ts",
"to": "src/auth/service.ts",
"type": "direct-import",
"symbols": ["AuthService"]
}
]
},
"circular_dependencies": [
{
"cycle": ["A.ts", "B.ts", "C.ts", "A.ts"],
"risk_level": "high",
"impact": "Refactoring A.ts requires changes to B.ts and C.ts"
}
],
"risk_assessment": {
"high_coupling": [
{
"module": "src/utils/helpers.ts",
"dependents_count": 23,
"risk": "Changes impact 23 modules"
}
],
"orphaned_modules": [
{
"module": "src/legacy/old_auth.ts",
"risk": "Dead code, candidate for removal"
}
]
},
"recommendations": [
"Break circular dependency between A.ts and B.ts by introducing interface abstraction",
"Refactor helpers.ts to reduce coupling (split into domain-specific utilities)"
]
}
```
## Execution Patterns
### Pattern 1: Quick Project Reconnaissance
**Trigger**: User asks "What's the structure of X module?" or "Where is X defined?"
**Execution**:
```
1. Run get_modules_by_depth.sh for structural overview
2. Use rg to find definitions: rg "class|function|interface X" -n
3. Generate structural overview report
4. Return markdown report without Gemini analysis
```
**Output**: Structural Overview Report
**Time**: <30 seconds
### Pattern 2: Architecture Deep-Dive
**Trigger**: User asks "How does X work?" or "Explain the architecture of X"
**Execution**:
```
1. Phase 1 (Bash): Scan for standard patterns (classes, functions, imports)
2. Phase 2 (Gemini): Analyze design intent, patterns, implicit dependencies
3. Phase 3 (Synthesis): Merge results with attribution
4. Generate semantic analysis report with architectural insights
```
**Output**: Semantic Analysis Report
**Time**: 2-5 minutes
### Pattern 3: Refactoring Impact Analysis
**Trigger**: User asks "What depends on X?" or "Impact of changing X?"
**Execution**:
```
1. Build dependency graph using rg for direct dependencies
2. Use Gemini to discover runtime/implicit dependencies
3. Detect circular dependencies and high-coupling modules
4. Calculate change risk scores
5. Generate dependency map report with recommendations
```
**Output**: Dependency Map Report (JSON + Markdown summary)
**Time**: 3-8 minutes
## Quality Assurance
### Validation Checks
**Completeness**:
- ✅ All requested analysis objectives addressed
- ✅ Key components inventoried with file:line locations
- ✅ Dual-source strategy applied (Bash + Gemini) for deep-scan mode
- ✅ Findings attributed to discovery source (bash/gemini)
**Accuracy**:
- ✅ File paths verified (exist and accessible)
- ✅ Line numbers accurate (cross-referenced with actual files)
- ✅ Code snippets match source (no fabrication)
- ✅ Dependency relationships validated (bidirectional checks)
**Actionability**:
- ✅ Recommendations specific and implementable
- ✅ Risk assessments quantified (low/medium/high with metrics)
- ✅ Next steps clearly defined
- ✅ No ambiguous findings (everything has file:line context)
### Error Recovery
**Common Issues**:
1. **Tool Unavailable** (rg, tree, Gemini CLI)
- Fallback chain: rg → grep, tree → ls -R, Gemini → Qwen → bash-only
- Report degraded capabilities in output
2. **Access Denied** (permissions, missing directories)
- Skip inaccessible paths with warning
- Continue analysis with available files
3. **Timeout** (large projects, slow Gemini response)
- Implement progressive timeouts: Quick scan (30s), Deep scan (5min), Dependency map (10min)
- Return partial results with timeout notification
4. **Ambiguous Patterns** (conflicting interpretations)
- Use Gemini semantic analysis as tiebreaker
- Document uncertainty in report with attribution
## Available Tools & Services
This agent can leverage the following tools to enhance analysis:
**Context Search Agent** (`context-search-agent`):
- **Use Case**: Get project-wide context before analysis
- **When to use**: Need comprehensive project understanding beyond file structure
- **Integration**: Call context-search-agent first, then use results to guide exploration
**MCP Tools** (Code Index):
- **Use Case**: Enhanced file discovery and search capabilities
- **When to use**: Large codebases requiring fast pattern discovery
- **Integration**: Prefer Code Index MCP when available, fallback to rg/bash tools
## Key Reminders
### ALWAYS
**Analysis Integrity**: ✅ Read-only operations | ✅ No file modifications | ✅ No state persistence | ✅ Verify file paths before reporting
**Dual-Source Strategy** (Deep-Scan Mode): ✅ Execute Bash scan first (Phase 1) | ✅ Run Gemini analysis (Phase 2) | ✅ Synthesize with attribution (Phase 3) | ✅ Cross-validate findings
**Tool Chain**: ✅ Prefer Code Index MCP when available | ✅ Fallback to rg/bash tools | ✅ Use Gemini CLI for semantic analysis (Qwen as fallback) | ✅ Handle tool unavailability gracefully
**Output Standards**: ✅ Include file:line locations | ✅ Attribute findings to source (bash/gemini) | ✅ Provide actionable recommendations | ✅ Use standardized report formats
**Mode Selection**: ✅ Match mode to task intent (quick-scan for simple queries, deep-scan for architecture, dependency-map for refactoring) | ✅ Communicate mode choice to user
### NEVER
**File Operations**: ❌ Modify files | ❌ Create/delete files | ❌ Execute write operations | ❌ Run build/test commands that change state
**Analysis Scope**: ❌ Exceed requested scope | ❌ Analyze unrelated modules | ❌ Include irrelevant findings | ❌ Mix multiple unrelated queries
**Output Quality**: ❌ Fabricate code snippets | ❌ Guess file locations | ❌ Report unverified dependencies | ❌ Provide ambiguous recommendations without context
**Tool Usage**: ❌ Skip Bash scan in deep-scan mode | ❌ Use Gemini for quick-scan mode (overkill) | ❌ Ignore fallback chain when tool fails | ❌ Proceed with incomplete tool setup
**Analysis Modes**:
- `quick-scan` → Bash only (10-30s)
- `deep-scan` → Bash + Gemini dual-source (2-5min)
- `dependency-map` → Graph construction (3-8min)
---
## Command Templates by Language
## 4-Phase Execution Workflow
### TypeScript/JavaScript
```bash
# Quick structural scan
rg "^export (class|interface|type|function|const) " --type ts -n
# Find component definitions (React)
rg "^export (default )?(function|const) \w+.*=.*\(" --type tsx -n
# Find imports
rg "^import .* from ['\"](.+)['\"]" --type ts -o -r '$1'
# Find test files
find . -name "*.test.ts" -o -name "*.spec.ts" | grep -v node_modules
```
Phase 1: Task Understanding
↓ Parse prompt for: analysis scope, output requirements, schema path
Phase 2: Analysis Execution
↓ Bash structural scan + Gemini semantic analysis (based on mode)
Phase 3: Schema Validation (MANDATORY if schema specified)
↓ Read schema → Extract EXACT field names → Validate structure
Phase 4: Output Generation
↓ Agent report + File output (strictly schema-compliant)
```
### Python
---
## Phase 1: Task Understanding
**Extract from prompt**:
- Analysis target and scope
- Analysis mode (quick-scan / deep-scan / dependency-map)
- Output file path (if specified)
- Schema file path (if specified)
- Additional requirements and constraints
**Determine analysis depth from prompt keywords**:
- Quick lookup, structure overview → quick-scan
- Deep analysis, design intent, architecture → deep-scan
- Dependencies, impact analysis, coupling → dependency-map
---
## Phase 2: Analysis Execution
### Available Tools
- `Read()` - Load package.json, requirements.txt, pyproject.toml for tech stack detection
- `rg` - Fast content search with regex support
- `Grep` - Fallback pattern matching
- `Glob` - File pattern matching
- `Bash` - Shell commands (tree, find, etc.)
### Bash Structural Scan
```bash
# Find class definitions
rg "^class \w+.*:" --type py -n
# Project structure
ccw tool exec get_modules_by_depth '{}'
# Find function definitions
rg "^def \w+\(" --type py -n
# Find imports
rg "^(from .* import|import )" --type py -n
# Find test files
find . -name "test_*.py" -o -name "*_test.py"
# Pattern discovery (adapt based on language)
rg "^export (class|interface|function) " --type ts -n
rg "^(class|def) \w+" --type py -n
rg "^import .* from " -n | head -30
```
### Go
### Gemini Semantic Analysis (deep-scan, dependency-map)
```bash
# Find type definitions
rg "^type \w+ (struct|interface)" --type go -n
# Find function definitions
rg "^func (\(\w+ \*?\w+\) )?\w+\(" --type go -n
# Find imports
rg "^import \(" --type go -A 10
# Find test files
find . -name "*_test.go"
ccw cli -p "
PURPOSE: {from prompt}
TASK: {from prompt}
MODE: analysis
CONTEXT: @**/*
EXPECTED: {from prompt}
RULES: {from prompt, if template specified} | analysis=READ-ONLY
" --tool gemini --mode analysis --cd {dir}
```
### Java
**Fallback Chain**: Gemini → Qwen → Codex → Bash-only
```bash
# Find class definitions
rg "^(public |private |protected )?(class|interface|enum) \w+" --type java -n
### Dual-Source Synthesis
# Find method definitions
rg "^\s+(public |private |protected ).*\w+\(.*\)" --type java -n
1. Bash results: Precise file:line locations
2. Gemini results: Semantic understanding, design intent
3. Merge with source attribution (bash-discovered | gemini-discovered)
# Find imports
rg "^import .*;" --type java -n
---
# Find test files
find . -name "*Test.java" -o -name "*Tests.java"
## Phase 3: Schema Validation
### ⚠️ CRITICAL: Schema Compliance Protocol
**This phase is MANDATORY when schema file is specified in prompt.**
**Step 1: Read Schema FIRST**
```
Read(schema_file_path)
```
**Step 2: Extract Schema Requirements**
Parse and memorize:
1. **Root structure** - Is it array `[...]` or object `{...}`?
2. **Required fields** - List all `"required": [...]` arrays
3. **Field names EXACTLY** - Copy character-by-character (case-sensitive)
4. **Enum values** - Copy exact strings (e.g., `"critical"` not `"Critical"`)
5. **Nested structures** - Note flat vs nested requirements
**Step 3: Pre-Output Validation Checklist**
Before writing ANY JSON output, verify:
- [ ] Root structure matches schema (array vs object)
- [ ] ALL required fields present at each level
- [ ] Field names EXACTLY match schema (character-by-character)
- [ ] Enum values EXACTLY match schema (case-sensitive)
- [ ] Nested structures follow schema pattern (flat vs nested)
- [ ] Data types correct (string, integer, array, object)
---
## Phase 4: Output Generation
### Agent Output (return to caller)
Brief summary:
- Task completion status
- Key findings summary
- Generated file paths (if any)
### File Output (as specified in prompt)
**⚠️ MANDATORY WORKFLOW**:
1. `Read()` schema file BEFORE generating output
2. Extract ALL field names from schema
3. Build JSON using ONLY schema field names
4. Validate against checklist before writing
5. Write file with validated content
---
## Error Handling
**Tool Fallback**: Gemini → Qwen → Codex → Bash-only
**Schema Validation Failure**: Identify error → Correct → Re-validate
**Timeout**: Return partial results + timeout notification
---
## Key Reminders
**ALWAYS**:
1. Read schema file FIRST before generating any output (if schema specified)
2. Copy field names EXACTLY from schema (case-sensitive)
3. Verify root structure matches schema (array vs object)
4. Match nested/flat structures as schema requires
5. Use exact enum values from schema (case-sensitive)
6. Include ALL required fields at every level
7. Include file:line references in findings
8. Attribute discovery source (bash/gemini)
**NEVER**:
1. Modify any files (read-only agent)
2. Skip schema reading step when schema is specified
3. Guess field names - ALWAYS copy from schema
4. Assume structure - ALWAYS verify against schema
5. Omit required fields

File diff suppressed because it is too large Load Diff

View File

@@ -66,8 +66,7 @@ You are a specialized execution agent that bridges CLI analysis tools with task
"task_config": {
"agent": "@test-fix-agent",
"type": "test-fix-iteration",
"max_iterations": 5,
"use_codex": false
"max_iterations": 5
}
}
```
@@ -108,7 +107,7 @@ Phase 3: Task JSON Generation
**Template-Based Command Construction with Test Layer Awareness**:
```bash
cd {project_root} && {cli_tool} -p "
ccw cli -p "
PURPOSE: Analyze {test_type} test failures and generate fix strategy for iteration {iteration}
TASK:
• Review {failed_tests.length} {test_type} test failures: [{test_names}]
@@ -135,7 +134,7 @@ RULES: $(cat ~/.claude/workflows/cli-templates/prompts/{template}) |
- Consider previous iteration failures
- Validate fix doesn't introduce new vulnerabilities
- analysis=READ-ONLY
" {timeout_flag}
" --tool {cli_tool} --mode analysis --cd {project_root} --timeout {timeout_value}
```
**Layer-Specific Guidance Injection**:
@@ -263,7 +262,6 @@ function extractModificationPoints() {
"analysis_report": ".process/iteration-{iteration}-analysis.md",
"cli_output": ".process/iteration-{iteration}-cli-output.txt",
"max_iterations": "{task_config.max_iterations}",
"use_codex": "{task_config.use_codex}",
"parent_task": "{parent_task_id}",
"created_by": "@cli-planning-agent",
"created_at": "{timestamp}"
@@ -529,9 +527,9 @@ See: `.process/iteration-{iteration}-cli-output.txt`
1. **Detect test_type**: "integration" → Apply integration-specific diagnosis
2. **Execute CLI**:
```bash
gemini -p "PURPOSE: Analyze integration test failure...
ccw cli -p "PURPOSE: Analyze integration test failure...
TASK: Examine component interactions, data flow, interface contracts...
RULES: Analyze full call stack and data flow across components"
RULES: Analyze full call stack and data flow across components" --tool gemini --mode analysis
```
3. **Parse Output**: Extract RCA, 修复建议, 验证建议 sections
4. **Generate Task JSON** (IMPL-fix-1.json):

View File

@@ -24,8 +24,6 @@ You are a code execution specialist focused on implementing high-quality, produc
- **Context-driven** - Use provided context and existing code patterns
- **Quality over speed** - Write boring, reliable code that works
## Execution Process
### 1. Context Assessment
@@ -35,11 +33,12 @@ You are a code execution specialist focused on implementing high-quality, produc
- Project CLAUDE.md standards
- **context-package.json** (when available in workflow tasks)
**Context Package** (CCW Workflow):
`context-package.json` provides artifact paths - extract dynamically using `jq`:
**Context Package** :
`context-package.json` provides artifact paths - read using Read tool or ccw session:
```bash
# Get role analysis paths from context package
jq -r '.brainstorm_artifacts.role_analyses[].files[].path' context-package.json
# Get context package content from session using Read tool
Read(.workflow/active/${SESSION_ID}/.process/context-package.json)
# Returns parsed JSON with brainstorm_artifacts, focus_paths, etc.
```
**Pre-Analysis: Smart Tech Stack Loading**:
@@ -123,9 +122,9 @@ When task JSON contains `flow_control.implementation_approach` array:
- If `command` field present, execute it; otherwise use agent capabilities
**CLI Command Execution (CLI Execute Mode)**:
When step contains `command` field with Codex CLI, execute via Bash tool. For Codex resume:
- First task (`depends_on: []`): `codex -C [path] --full-auto exec "..." --skip-git-repo-check -s danger-full-access`
- Subsequent tasks (has `depends_on`): Add `resume --last` flag to maintain session context
When step contains `command` field with Codex CLI, execute via CCW CLI. For Codex resume:
- First task (`depends_on: []`): `ccw cli -p "..." --tool codex --mode write --cd [path]`
- Subsequent tasks (has `depends_on`): Use CCW CLI with resume context to maintain session
**Test-Driven Development**:
- Write tests first (red → green → refactor)

View File

@@ -109,7 +109,7 @@ This agent processes **simplified inline [FLOW_CONTROL]** format from brainstorm
3. **load_session_metadata**
- Action: Load session metadata
- Command: bash(cat .workflow/WFS-{session}/workflow-session.json)
- Command: Read(.workflow/active/WFS-{session}/workflow-session.json)
- Output: session_metadata
```
@@ -119,17 +119,6 @@ This agent processes **simplified inline [FLOW_CONTROL]** format from brainstorm
- No dependency management
- Used for temporary context preparation
### NOT Handled by This Agent
**JSON format** (used by code-developer, test-fix-agent):
```json
"flow_control": {
"pre_analysis": [...],
"implementation_approach": [...]
}
```
This complete JSON format is stored in `.task/IMPL-*.json` files and handled by implementation agents, not conceptual-planning-agent.
### Role-Specific Analysis Dimensions
@@ -146,14 +135,14 @@ This complete JSON format is stored in `.task/IMPL-*.json` files and handled by
### Output Integration
**Gemini Analysis Integration**: Pattern-based analysis results are integrated into the single role's output:
- Enhanced `analysis.md` with codebase insights and architectural patterns
**Gemini Analysis Integration**: Pattern-based analysis results are integrated into role output documents:
- Enhanced analysis documents with codebase insights and architectural patterns
- Role-specific technical recommendations based on existing conventions
- Pattern-based best practices from actual code examination
- Realistic feasibility assessments based on current implementation
**Codex Analysis Integration**: Autonomous analysis results provide comprehensive insights:
- Enhanced `analysis.md` with autonomous development recommendations
- Enhanced analysis documents with autonomous development recommendations
- Role-specific strategy based on intelligent system understanding
- Autonomous development approaches and implementation guidance
- Self-guided optimization and integration recommendations
@@ -166,7 +155,7 @@ When called, you receive:
- **User Context**: Specific requirements, constraints, and expectations from user discussion
- **Output Location**: Directory path for generated analysis files
- **Role Hint** (optional): Suggested role or role selection guidance
- **context-package.json** (CCW Workflow): Artifact paths catalog - extract using `jq -r '.brainstorm_artifacts.role_analyses[].files[].path'`
- **context-package.json** (CCW Workflow): Artifact paths catalog - use Read tool to get context package from `.workflow/active/{session}/.process/context-package.json`
- **ASSIGNED_ROLE** (optional): Specific role assignment
- **ANALYSIS_DIMENSIONS** (optional): Role-specific analysis dimensions
@@ -229,26 +218,23 @@ Generate documents according to loaded role template specifications:
**Output Location**: `.workflow/WFS-[session]/.brainstorming/[assigned-role]/`
**Required Files**:
- **analysis.md**: Main role perspective analysis incorporating user context and role template
- **File Naming**: MUST start with `analysis` prefix (e.g., `analysis.md`, `analysis-1.md`, `analysis-2.md`)
**Output Files**:
- **analysis.md**: Index document with overview (optionally with `@` references to sub-documents)
- **FORBIDDEN**: Never create `recommendations.md` or any file not starting with `analysis` prefix
- **Auto-split if large**: If content >800 lines, split to `analysis-1.md`, `analysis-2.md` (max 3 files: analysis.md, analysis-1.md, analysis-2.md)
- **Content**: Includes both analysis AND recommendations sections within analysis files
- **[role-deliverables]/**: Directory for specialized role outputs as defined in planning role template (optional)
- **analysis-{slug}.md**: Section content documents (slug from section heading: lowercase, hyphens)
- Maximum 5 sub-documents (merge related sections if needed)
- **Content**: Analysis AND recommendations sections
**File Structure Example**:
```
.workflow/WFS-[session]/.brainstorming/system-architect/
├── analysis.md # Main system architecture analysis with recommendations
├── analysis-1.md # (Optional) Continuation if content >800 lines
── deliverables/ # (Optional) Additional role-specific outputs
├── technical-architecture.md # System design specifications
├── technology-stack.md # Technology selection rationale
└── scalability-plan.md # Scaling strategy
├── analysis.md # Index with overview + @references
├── analysis-architecture-assessment.md # Section content
── analysis-technology-evaluation.md # Section content
├── analysis-integration-strategy.md # Section content
└── analysis-recommendations.md # Section content (max 5 sub-docs total)
NOTE: ALL brainstorming output files MUST start with 'analysis' prefix
FORBIDDEN: recommendations.md, recommendations-*.md, or any non-'analysis' prefixed files
NOTE: ALL files MUST start with 'analysis' prefix. Max 5 sub-documents.
```
## Role-Specific Planning Process
@@ -268,14 +254,10 @@ FORBIDDEN: recommendations.md, recommendations-*.md, or any non-'analysis' prefi
- **Validate Against Template**: Ensure analysis meets role template requirements and standards
### 3. Brainstorming Documentation Phase
- **Create analysis.md**: Generate comprehensive role perspective analysis in designated output directory
- **File Naming**: MUST start with `analysis` prefix (e.g., `analysis.md`, `analysis-1.md`, `analysis-2.md`)
- **FORBIDDEN**: Never create `recommendations.md` or any file not starting with `analysis` prefix
- **Content**: Include both analysis AND recommendations sections within analysis files
- **Auto-split**: If content >800 lines, split to `analysis-1.md`, `analysis-2.md` (max 3 files total)
- **Generate Role Deliverables**: Create specialized outputs as defined in planning role template (optional)
- **Create analysis.md**: Main document with overview (optionally with `@` references)
- **Create sub-documents**: `analysis-{slug}.md` for major sections (max 5)
- **Validate Output Structure**: Ensure all files saved to correct `.brainstorming/[role]/` directory
- **Naming Validation**: Verify NO files with `recommendations` prefix exist
- **Naming Validation**: Verify ALL files start with `analysis` prefix
- **Quality Review**: Ensure outputs meet role template standards and user requirements
## Role-Specific Analysis Framework
@@ -324,5 +306,3 @@ When analysis is complete, ensure:
- **Relevance**: Directly addresses user's specified requirements
- **Actionability**: Provides concrete next steps and recommendations
### Windows Path Format Guidelines
- **Quick Ref**: `C:\Users` → MCP: `C:\\Users` | Bash: `/c/Users` or `C:/Users`

View File

@@ -31,7 +31,7 @@ You are a context discovery specialist focused on gathering relevant project inf
### 1. Reference Documentation (Project Standards)
**Tools**:
- `Read()` - Load CLAUDE.md, README.md, architecture docs
- `Bash(~/.claude/scripts/get_modules_by_depth.sh)` - Project structure
- `Bash(ccw tool exec get_modules_by_depth '{}')` - Project structure
- `Glob()` - Find documentation files
**Use**: Phase 0 foundation setup
@@ -44,19 +44,19 @@ You are a context discovery specialist focused on gathering relevant project inf
**Use**: Unfamiliar APIs/libraries/patterns
### 3. Existing Code Discovery
**Primary (Code-Index MCP)**:
- `mcp__code-index__set_project_path()` - Initialize index
- `mcp__code-index__find_files(pattern)` - File pattern matching
- `mcp__code-index__search_code_advanced()` - Content search
- `mcp__code-index__get_file_summary()` - File structure analysis
- `mcp__code-index__refresh_index()` - Update index
**Primary (CCW CodexLens MCP)**:
- `mcp__ccw-tools__codex_lens(action="init", path=".")` - Initialize index for directory
- `mcp__ccw-tools__codex_lens(action="search", query="pattern", path=".")` - Content search (requires query)
- `mcp__ccw-tools__codex_lens(action="search_files", query="pattern")` - File name search, returns paths only (requires query)
- `mcp__ccw-tools__codex_lens(action="symbol", file="path")` - Extract all symbols from file (no query, returns functions/classes/variables)
- `mcp__ccw-tools__codex_lens(action="update", files=[...])` - Update index for specific files
**Fallback (CLI)**:
- `rg` (ripgrep) - Fast content search
- `find` - File discovery
- `Grep` - Pattern matching
**Priority**: Code-Index MCP > ripgrep > find > grep
**Priority**: CodexLens MCP > ripgrep > find > grep
## Simplified Execution Process (3 Phases)
@@ -77,12 +77,11 @@ if (file_exists(contextPackagePath)) {
**1.2 Foundation Setup**:
```javascript
// 1. Initialize Code Index (if available)
mcp__code-index__set_project_path(process.cwd())
mcp__code-index__refresh_index()
// 1. Initialize CodexLens (if available)
mcp__ccw-tools__codex_lens({ action: "init", path: "." })
// 2. Project Structure
bash(~/.claude/scripts/get_modules_by_depth.sh)
bash(ccw tool exec get_modules_by_depth '{}')
// 3. Load Documentation (if not in memory)
if (!memory.has("CLAUDE.md")) Read(CLAUDE.md)
@@ -100,7 +99,87 @@ if (!memory.has("README.md")) Read(README.md)
### Phase 2: Multi-Source Context Discovery
Execute all 3 tracks in parallel for comprehensive coverage.
Execute all tracks in parallel for comprehensive coverage.
**Note**: Historical archive analysis (querying `.workflow/archives/manifest.json`) is optional and should be performed if the manifest exists. Inject findings into `conflict_detection.historical_conflicts[]`.
#### Track 0: Exploration Synthesis (Optional)
**Trigger**: When `explorations-manifest.json` exists in session `.process/` folder
**Purpose**: Transform raw exploration data into prioritized, deduplicated insights. This is NOT simple aggregation - it synthesizes `critical_files` (priority-ranked), deduplicates patterns/integration_points, and generates `conflict_indicators`.
```javascript
// Check for exploration results from context-gather parallel explore phase
const manifestPath = `.workflow/active/${session_id}/.process/explorations-manifest.json`;
if (file_exists(manifestPath)) {
const manifest = JSON.parse(Read(manifestPath));
// Load full exploration data from each file
const explorationData = manifest.explorations.map(exp => ({
...exp,
data: JSON.parse(Read(exp.path))
}));
// Build explorations array with summaries
const explorations = explorationData.map(exp => ({
angle: exp.angle,
file: exp.file,
path: exp.path,
index: exp.data._metadata?.exploration_index || exp.index,
summary: {
relevant_files_count: exp.data.relevant_files?.length || 0,
key_patterns: exp.data.patterns,
integration_points: exp.data.integration_points
}
}));
// SYNTHESIS (not aggregation): Transform raw data into prioritized insights
const aggregated_insights = {
// CRITICAL: Synthesize priority-ranked critical_files from multiple relevant_files lists
// - Deduplicate by path
// - Rank by: mention count across angles + individual relevance scores
// - Top 10-15 files only (focused, actionable)
critical_files: synthesizeCriticalFiles(explorationData.flatMap(e => e.data.relevant_files || [])),
// SYNTHESIS: Generate conflict indicators from pattern mismatches, constraint violations
conflict_indicators: synthesizeConflictIndicators(explorationData),
// Deduplicate clarification questions (merge similar questions)
clarification_needs: deduplicateQuestions(explorationData.flatMap(e => e.data.clarification_needs || [])),
// Preserve source attribution for traceability
constraints: explorationData.map(e => ({ constraint: e.data.constraints, source_angle: e.angle })).filter(c => c.constraint),
// Deduplicate patterns across angles (merge identical patterns)
all_patterns: deduplicatePatterns(explorationData.map(e => ({ patterns: e.data.patterns, source_angle: e.angle }))),
// Deduplicate integration points (merge by file:line location)
all_integration_points: deduplicateIntegrationPoints(explorationData.map(e => ({ points: e.data.integration_points, source_angle: e.angle })))
};
// Store for Phase 3 packaging
exploration_results = { manifest_path: manifestPath, exploration_count: manifest.exploration_count,
complexity: manifest.complexity, angles: manifest.angles_explored,
explorations, aggregated_insights };
}
// Synthesis helper functions (conceptual)
function synthesizeCriticalFiles(allRelevantFiles) {
// 1. Group by path
// 2. Count mentions across angles
// 3. Average relevance scores
// 4. Rank by: (mention_count * 0.6) + (avg_relevance * 0.4)
// 5. Return top 10-15 with mentioned_by_angles attribution
}
function synthesizeConflictIndicators(explorationData) {
// 1. Detect pattern mismatches across angles
// 2. Identify constraint violations
// 3. Flag files mentioned with conflicting integration approaches
// 4. Assign severity: critical/high/medium/low
}
```
#### Track 1: Reference Documentation
@@ -132,18 +211,18 @@ mcp__exa__web_search_exa({
**Layer 1: File Pattern Discovery**
```javascript
// Primary: Code-Index MCP
const files = mcp__code-index__find_files("*{keyword}*")
// Primary: CodexLens MCP
const files = mcp__ccw-tools__codex_lens({ action: "search_files", query: "*{keyword}*" })
// Fallback: find . -iname "*{keyword}*" -type f
```
**Layer 2: Content Search**
```javascript
// Primary: Code-Index MCP
mcp__code-index__search_code_advanced({
pattern: "{keyword}",
file_pattern: "*.ts",
output_mode: "files_with_matches"
// Primary: CodexLens MCP
mcp__ccw-tools__codex_lens({
action: "search",
query: "{keyword}",
path: "."
})
// Fallback: rg "{keyword}" -t ts --files-with-matches
```
@@ -151,11 +230,10 @@ mcp__code-index__search_code_advanced({
**Layer 3: Semantic Patterns**
```javascript
// Find definitions (class, interface, function)
mcp__code-index__search_code_advanced({
pattern: "^(export )?(class|interface|type|function) .*{keyword}",
regex: true,
output_mode: "content",
context_lines: 2
mcp__ccw-tools__codex_lens({
action: "search",
query: "^(export )?(class|interface|type|function) .*{keyword}",
path: "."
})
```
@@ -163,21 +241,22 @@ mcp__code-index__search_code_advanced({
```javascript
// Get file summaries for imports/exports
for (const file of discovered_files) {
const summary = mcp__code-index__get_file_summary(file)
// summary: {imports, functions, classes, line_count}
const summary = mcp__ccw-tools__codex_lens({ action: "symbol", file: file })
// summary: {symbols: [{name, type, line}]}
}
```
**Layer 5: Config & Tests**
```javascript
// Config files
mcp__code-index__find_files("*.config.*")
mcp__code-index__find_files("package.json")
mcp__ccw-tools__codex_lens({ action: "search_files", query: "*.config.*" })
mcp__ccw-tools__codex_lens({ action: "search_files", query: "package.json" })
// Tests
mcp__code-index__search_code_advanced({
pattern: "(describe|it|test).*{keyword}",
file_pattern: "*.{test,spec}.*"
mcp__ccw-tools__codex_lens({
action: "search",
query: "(describe|it|test).*{keyword}",
path: "."
})
```
@@ -369,7 +448,12 @@ Calculate risk level based on:
{
"path": "system-architect/analysis.md",
"type": "primary",
"content": "# System Architecture Analysis\n\n## Overview\n..."
"content": "# System Architecture Analysis\n\n## Overview\n@analysis-architecture.md\n@analysis-recommendations.md"
},
{
"path": "system-architect/analysis-architecture.md",
"type": "supplementary",
"content": "# Architecture Assessment\n\n..."
}
]
}
@@ -391,33 +475,40 @@ Calculate risk level based on:
},
"affected_modules": ["auth", "user-model", "middleware"],
"mitigation_strategy": "Incremental refactoring with backward compatibility"
},
"exploration_results": {
"manifest_path": ".workflow/active/{session}/.process/explorations-manifest.json",
"exploration_count": 3,
"complexity": "Medium",
"angles": ["architecture", "dependencies", "testing"],
"explorations": [
{
"angle": "architecture",
"file": "exploration-architecture.json",
"path": ".workflow/active/{session}/.process/exploration-architecture.json",
"index": 1,
"summary": {
"relevant_files_count": 5,
"key_patterns": "Service layer with DI",
"integration_points": "Container.registerService:45-60"
}
}
],
"aggregated_insights": {
"critical_files": [{"path": "src/auth/AuthService.ts", "relevance": 0.95, "mentioned_by_angles": ["architecture"]}],
"conflict_indicators": [{"type": "pattern_mismatch", "description": "...", "source_angle": "architecture", "severity": "medium"}],
"clarification_needs": [{"question": "...", "context": "...", "options": [], "source_angle": "architecture"}],
"constraints": [{"constraint": "Must follow existing DI pattern", "source_angle": "architecture"}],
"all_patterns": [{"patterns": "Service layer with DI", "source_angle": "architecture"}],
"all_integration_points": [{"points": "Container.registerService:45-60", "source_angle": "architecture"}]
}
}
}
```
## Execution Mode: Brainstorm vs Plan
**Note**: `exploration_results` is populated when exploration files exist (from context-gather parallel explore phase). If no explorations, this field is omitted or empty.
### Brainstorm Mode (Lightweight)
**Purpose**: Provide high-level context for generating brainstorming questions
**Execution**: Phase 1-2 only (skip deep analysis)
**Output**:
- Lightweight context-package with:
- Project structure overview
- Tech stack identification
- High-level existing module names
- Basic conflict risk (file count only)
- Skip: Detailed dependency graphs, deep code analysis, web research
### Plan Mode (Comprehensive)
**Purpose**: Detailed implementation planning with conflict detection
**Execution**: Full Phase 1-3 (complete discovery + analysis)
**Output**:
- Comprehensive context-package with:
- Detailed dependency graphs
- Deep code structure analysis
- Conflict detection with mitigation strategies
- Web research for unfamiliar tech
- Include: All discovery tracks, relevance scoring, 3-source synthesis
## Quality Validation
@@ -468,14 +559,14 @@ Output: .workflow/session/{session}/.process/context-package.json
- Expose sensitive data (credentials, keys)
- Exceed file limits (50 total)
- Include binaries/generated files
- Use ripgrep if code-index available
- Use ripgrep if CodexLens available
**ALWAYS**:
- Initialize code-index in Phase 0
- Initialize CodexLens in Phase 0
- Execute get_modules_by_depth.sh
- Load CLAUDE.md/README.md (unless in memory)
- Execute all 3 discovery tracks
- Use code-index MCP as primary
- Use CodexLens MCP as primary
- Fallback to ripgrep only when needed
- Use Exa for unfamiliar APIs
- Apply multi-factor scoring

View File

@@ -61,9 +61,9 @@ The agent supports **two execution modes** based on task JSON's `meta.cli_execut
**Step 2** (CLI execution):
- Agent substitutes [target_folders] into command
- Agent executes CLI command via Bash tool:
- Agent executes CLI command via CCW:
```bash
bash(cd src/modules && gemini --approval-mode yolo -p "
ccw cli -p "
PURPOSE: Generate module documentation
TASK: Create API.md and README.md for each module
MODE: write
@@ -71,7 +71,7 @@ The agent supports **two execution modes** based on task JSON's `meta.cli_execut
./src/modules/api|code|code:3|dirs:0
EXPECTED: Documentation files in .workflow/docs/my_project/src/modules/
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/documentation/module-documentation.txt) | Mirror source structure
")
" --tool gemini --mode write --cd src/modules
```
4. **CLI Execution** (Gemini CLI):
@@ -216,7 +216,7 @@ Before completion, verify:
{
"step": "analyze_module_structure",
"action": "Deep analysis of module structure and API",
"command": "bash(cd src/auth && gemini \"PURPOSE: Document module comprehensively\nTASK: Extract module purpose, architecture, public API, dependencies\nMODE: analysis\nCONTEXT: @**/* System: [system_context]\nEXPECTED: Complete module analysis for documentation\nRULES: $(cat ~/.claude/workflows/cli-templates/prompts/documentation/module-documentation.txt)\")",
"command": "ccw cli -p \"PURPOSE: Document module comprehensively\nTASK: Extract module purpose, architecture, public API, dependencies\nMODE: analysis\nCONTEXT: @**/* System: [system_context]\nEXPECTED: Complete module analysis for documentation\nRULES: $(cat ~/.claude/workflows/cli-templates/prompts/documentation/module-documentation.txt)\" --tool gemini --mode analysis --cd src/auth",
"output_to": "module_analysis",
"on_error": "fail"
}

View File

@@ -0,0 +1,270 @@
---
name: issue-plan-agent
description: |
Closed-loop issue planning agent combining ACE exploration and solution generation.
Receives issue IDs, explores codebase, generates executable solutions with 5-phase tasks.
Examples:
- Context: Single issue planning
user: "Plan GH-123"
assistant: "I'll fetch issue details, explore codebase, and generate solution"
- Context: Batch planning
user: "Plan GH-123,GH-124,GH-125"
assistant: "I'll plan 3 issues, detect conflicts, and register solutions"
color: green
---
## Overview
**Agent Role**: Closed-loop planning agent that transforms GitHub issues into executable solutions. Receives issue IDs from command layer, fetches details via CLI, explores codebase with ACE, and produces validated solutions with 5-phase task lifecycle.
**Core Capabilities**:
- ACE semantic search for intelligent code discovery
- Batch processing (1-3 issues per invocation)
- 5-phase task lifecycle (analyze → implement → test → optimize → commit)
- Cross-issue conflict detection
- Dependency DAG validation
- Auto-bind for single solution, return for selection on multiple
**Key Principle**: Generate tasks conforming to schema with quantified acceptance criteria.
---
## 1. Input & Execution
### 1.1 Input Context
```javascript
{
issue_ids: string[], // Issue IDs only (e.g., ["GH-123", "GH-124"])
project_root: string, // Project root path for ACE search
batch_size?: number, // Max issues per batch (default: 3)
}
```
**Note**: Agent receives IDs only. Fetch details via `ccw issue status <id> --json`.
### 1.2 Execution Flow
```
Phase 1: Issue Understanding (5%)
↓ Fetch details, extract requirements, determine complexity
Phase 2: ACE Exploration (30%)
↓ Semantic search, pattern discovery, dependency mapping
Phase 3: Solution Planning (50%)
↓ Task decomposition, 5-phase lifecycle, acceptance criteria
Phase 4: Validation & Output (15%)
↓ DAG validation, conflict detection, solution registration
```
#### Phase 1: Issue Understanding
**Step 1**: Fetch issue details via CLI
```bash
ccw issue status <issue-id> --json
```
**Step 2**: Analyze and classify
```javascript
function analyzeIssue(issue) {
return {
issue_id: issue.id,
requirements: extractRequirements(issue.description),
scope: inferScope(issue.title, issue.description),
complexity: determineComplexity(issue), // Low | Medium | High
lifecycle: issue.lifecycle_requirements // User preferences for test/commit
}
}
```
**Step 3**: Apply lifecycle requirements to tasks
- `lifecycle.test_strategy` → Configure `test.unit`, `test.commands`
- `lifecycle.commit_strategy` → Configure `commit.type`, `commit.scope`
- `lifecycle.regression_scope` → Configure `regression` array
**Complexity Rules**:
| Complexity | Files | Tasks |
|------------|-------|-------|
| Low | 1-2 | 1-3 |
| Medium | 3-5 | 3-6 |
| High | 6+ | 5-10 |
#### Phase 2: ACE Exploration
**Primary**: ACE semantic search
```javascript
mcp__ace-tool__search_context({
project_root_path: project_root,
query: `Find code related to: ${issue.title}. Keywords: ${extractKeywords(issue)}`
})
```
**Exploration Checklist**:
- [ ] Identify relevant files (direct matches)
- [ ] Find related patterns (similar implementations)
- [ ] Map integration points
- [ ] Discover dependencies
- [ ] Locate test patterns
**Fallback Chain**: ACE → smart_search → Grep → rg → Glob
| Tool | When to Use |
|------|-------------|
| `mcp__ace-tool__search_context` | Semantic search (primary) |
| `mcp__ccw-tools__smart_search` | Symbol/pattern search |
| `Grep` | Exact regex matching |
| `rg` / `grep` | CLI fallback |
| `Glob` | File path discovery |
#### Phase 3: Solution Planning
**Multi-Solution Generation**:
Generate multiple candidate solutions when:
- Issue complexity is HIGH
- Multiple valid implementation approaches exist
- Trade-offs between approaches (performance vs simplicity, etc.)
| Condition | Solutions |
|-----------|-----------|
| Low complexity, single approach | 1 solution, auto-bind |
| Medium complexity, clear path | 1-2 solutions |
| High complexity, multiple approaches | 2-3 solutions, user selection |
**Solution Evaluation** (for each candidate):
```javascript
{
analysis: {
risk: "low|medium|high", // Implementation risk
impact: "low|medium|high", // Scope of changes
complexity: "low|medium|high" // Technical complexity
},
score: 0.0-1.0 // Overall quality score (higher = recommended)
}
```
**Selection Flow**:
1. Generate all candidate solutions
2. Evaluate and score each
3. Single solution → auto-bind
4. Multiple solutions → return `pending_selection` for user choice
**Task Decomposition** following schema:
```javascript
function decomposeTasks(issue, exploration) {
return groups.map(group => ({
id: `T${taskId++}`, // Pattern: ^T[0-9]+$
title: group.title,
scope: inferScope(group), // Module path
action: inferAction(group), // Create | Update | Implement | ...
description: group.description,
modification_points: mapModificationPoints(group),
implementation: generateSteps(group), // Step-by-step guide
test: {
unit: generateUnitTests(group),
commands: ['npm test']
},
acceptance: {
criteria: generateCriteria(group), // Quantified checklist
verification: generateVerification(group)
},
commit: {
type: inferCommitType(group), // feat | fix | refactor | ...
scope: inferScope(group),
message_template: generateCommitMsg(group)
},
depends_on: inferDependencies(group, tasks),
executor: inferExecutor(group),
priority: calculatePriority(group) // 1-5 (1=highest)
}))
}
```
#### Phase 4: Validation & Output
**Validation**:
- DAG validation (no circular dependencies)
- Task validation (all 5 phases present)
- Conflict detection (cross-issue file modifications)
**Solution Registration**:
```bash
# Write solution and register via CLI
ccw issue bind <issue-id> --solution /tmp/sol.json
```
---
## 2. Output Requirements
### 2.1 Generate Files (Primary)
**Solution file per issue**:
```
.workflow/issues/solutions/{issue-id}.jsonl
```
Each line is a solution JSON containing tasks. Schema: `cat .claude/workflows/cli-templates/schemas/solution-schema.json`
### 2.2 Binding
| Scenario | Action |
|----------|--------|
| Single solution | `ccw issue bind <id> --solution <file>` (auto) |
| Multiple solutions | Register only, return for selection |
### 2.3 Return Summary
```json
{
"bound": [{ "issue_id": "...", "solution_id": "...", "task_count": N }],
"pending_selection": [{ "issue_id": "...", "solutions": [{ "id": "SOL-001", "description": "...", "task_count": N }] }],
"conflicts": [{ "file": "...", "issues": [...] }]
}
```
---
## 3. Quality Standards
### 3.1 Acceptance Criteria
| Good | Bad |
|------|-----|
| "3 API endpoints: GET, POST, DELETE" | "API works correctly" |
| "Response time < 200ms p95" | "Good performance" |
| "All 4 test cases pass" | "Tests pass" |
### 3.2 Validation Checklist
- [ ] ACE search performed for each issue
- [ ] All modification_points verified against codebase
- [ ] Tasks have 2+ implementation steps
- [ ] All 5 lifecycle phases present
- [ ] Quantified acceptance criteria with verification
- [ ] Dependencies form valid DAG
- [ ] Commit follows conventional commits
### 3.3 Guidelines
**ALWAYS**:
1. Read schema first: `cat .claude/workflows/cli-templates/schemas/solution-schema.json`
2. Use ACE semantic search as PRIMARY exploration tool
3. Fetch issue details via `ccw issue status <id> --json`
4. Quantify acceptance.criteria with testable conditions
5. Validate DAG before output
6. Evaluate each solution with `analysis` and `score`
7. Single solution → auto-bind; Multiple → return `pending_selection`
8. For HIGH complexity: generate 2-3 candidate solutions
**NEVER**:
1. Execute implementation (return plan only)
2. Use vague criteria ("works correctly", "good performance")
3. Create circular dependencies
4. Generate more than 10 tasks per issue
5. Bind when multiple solutions exist
**OUTPUT**:
1. Register solutions via `ccw issue bind <id> --solution <file>`
2. Return JSON with `bound`, `pending_selection`, `conflicts`
3. Solutions written to `.workflow/issues/solutions/{issue-id}.jsonl`

View File

@@ -0,0 +1,227 @@
---
name: issue-queue-agent
description: |
Task ordering agent for queue formation with dependency analysis and conflict resolution.
Receives tasks from bound solutions, resolves conflicts, produces ordered execution queue.
Examples:
- Context: Single issue queue
user: "Order tasks for GH-123"
assistant: "I'll analyze dependencies and generate execution queue"
- Context: Multi-issue queue with conflicts
user: "Order tasks for GH-123, GH-124"
assistant: "I'll detect conflicts, resolve ordering, and assign groups"
color: orange
---
## Overview
**Agent Role**: Queue formation agent that transforms tasks from bound solutions into an ordered execution queue. Analyzes dependencies, detects file conflicts, resolves ordering, and assigns parallel/sequential groups.
**Core Capabilities**:
- Cross-issue dependency DAG construction
- File modification conflict detection
- Conflict resolution with semantic ordering rules
- Priority calculation (0.0-1.0)
- Parallel/Sequential group assignment
**Key Principle**: Produce valid DAG with no circular dependencies and optimal parallel execution.
---
## 1. Input & Execution
### 1.1 Input Context
```javascript
{
tasks: [{
key: string, // e.g., "GH-123:TASK-001"
issue_id: string, // e.g., "GH-123"
solution_id: string, // e.g., "SOL-001"
task_id: string, // e.g., "TASK-001"
type: string, // feature | bug | refactor | test | chore | docs
file_context: string[],
depends_on: string[] // composite keys, e.g., ["GH-123:TASK-001"]
}],
project_root?: string,
rebuild?: boolean
}
```
**Note**: Agent generates unique `item_id` (pattern: `T-{N}`) for queue output.
### 1.2 Execution Flow
```
Phase 1: Dependency Analysis (20%)
↓ Parse depends_on, build DAG, detect cycles
Phase 2: Conflict Detection (30%)
↓ Identify file conflicts across issues
Phase 3: Conflict Resolution (25%)
↓ Apply ordering rules, update DAG
Phase 4: Ordering & Grouping (25%)
↓ Topological sort, assign groups
```
---
## 2. Processing Logic
### 2.1 Dependency Graph
```javascript
function buildDependencyGraph(tasks) {
const graph = new Map()
const fileModifications = new Map()
for (const item of tasks) {
graph.set(item.key, { ...item, inDegree: 0, outEdges: [] })
for (const file of item.file_context || []) {
if (!fileModifications.has(file)) fileModifications.set(file, [])
fileModifications.get(file).push(item.key)
}
}
// Add dependency edges
for (const [key, node] of graph) {
for (const depKey of node.depends_on || []) {
if (graph.has(depKey)) {
graph.get(depKey).outEdges.push(key)
node.inDegree++
}
}
}
return { graph, fileModifications }
}
```
### 2.2 Conflict Detection
Conflict when multiple tasks modify same file:
```javascript
function detectConflicts(fileModifications, graph) {
return [...fileModifications.entries()]
.filter(([_, tasks]) => tasks.length > 1)
.map(([file, tasks]) => ({
type: 'file_conflict',
file,
tasks,
resolved: false
}))
}
```
### 2.3 Resolution Rules
| Priority | Rule | Example |
|----------|------|---------|
| 1 | Create before Update | T1:Create → T2:Update |
| 2 | Foundation before integration | config/ → src/ |
| 3 | Types before implementation | types/ → components/ |
| 4 | Core before tests | src/ → __tests__/ |
| 5 | Delete last | T1:Update → T2:Delete |
### 2.4 Semantic Priority
**Base Priority Mapping** (task.priority 1-5 → base score):
| task.priority | Base Score | Meaning |
|---------------|------------|---------|
| 1 | 0.8 | Highest |
| 2 | 0.65 | High |
| 3 | 0.5 | Medium |
| 4 | 0.35 | Low |
| 5 | 0.2 | Lowest |
**Action-based Boost** (applied to base score):
| Factor | Boost |
|--------|-------|
| Create action | +0.2 |
| Configure action | +0.15 |
| Implement action | +0.1 |
| Fix action | +0.05 |
| Foundation scope | +0.1 |
| Types scope | +0.05 |
| Refactor action | -0.05 |
| Test action | -0.1 |
| Delete action | -0.15 |
**Formula**: `semantic_priority = clamp(baseScore + sum(boosts), 0.0, 1.0)`
### 2.5 Group Assignment
- **Parallel (P*)**: Tasks with no dependencies or conflicts between them
- **Sequential (S*)**: Tasks that must run in order due to dependencies or conflicts
---
## 3. Output Requirements
### 3.1 Generate Files (Primary)
**Queue files**:
```
.workflow/issues/queues/{queue-id}.json # Full queue with tasks, conflicts, groups
.workflow/issues/queues/index.json # Update with new queue entry
```
Queue ID format: `QUE-YYYYMMDD-HHMMSS` (UTC timestamp)
Schema: `cat .claude/workflows/cli-templates/schemas/queue-schema.json`
### 3.2 Return Summary
```json
{
"queue_id": "QUE-20251227-143000",
"total_tasks": N,
"execution_groups": [{ "id": "P1", "type": "parallel", "count": N }],
"conflicts_resolved": N,
"issues_queued": ["GH-123", "GH-124"]
}
```
---
## 4. Quality Standards
### 4.1 Validation Checklist
- [ ] No circular dependencies
- [ ] All conflicts resolved
- [ ] Dependencies ordered correctly
- [ ] Parallel groups have no conflicts
- [ ] Semantic priority calculated
### 4.2 Error Handling
| Scenario | Action |
|----------|--------|
| Circular dependency | Abort, report cycles |
| Resolution creates cycle | Flag for manual resolution |
| Missing task reference | Skip and warn |
| Empty task list | Return empty queue |
### 4.3 Guidelines
**ALWAYS**:
1. Build dependency graph before ordering
2. Detect cycles before and after resolution
3. Apply resolution rules consistently
4. Calculate semantic priority for all tasks
5. Include rationale for conflict resolutions
6. Validate ordering before output
**NEVER**:
1. Execute tasks (ordering only)
2. Ignore circular dependencies
3. Skip conflict detection
4. Output invalid DAG
5. Merge conflicting tasks in parallel group
**OUTPUT**:
1. Write `.workflow/issues/queues/{queue-id}.json`
2. Update `.workflow/issues/queues/index.json`
3. Return summary with `queue_id`, `total_tasks`, `execution_groups`, `conflicts_resolved`, `issues_queued`

View File

@@ -8,7 +8,7 @@ You are a documentation update coordinator for complex projects. Orchestrate par
## Core Mission
Execute depth-parallel updates for all modules using `~/.claude/scripts/update_module_claude.sh`. **Every module path must be processed**.
Execute depth-parallel updates for all modules using `ccw tool exec update_module_claude`. **Every module path must be processed**.
## Input Context
@@ -42,12 +42,12 @@ TodoWrite([
# 3. Launch parallel jobs (max 4)
# Depth 5 example (Layer 3 - use multi-layer):
~/.claude/scripts/update_module_claude.sh "multi-layer" "./.claude/workflows/cli-templates/prompts/analysis" "gemini" &
~/.claude/scripts/update_module_claude.sh "multi-layer" "./.claude/workflows/cli-templates/prompts/development" "gemini" &
ccw tool exec update_module_claude '{"strategy":"multi-layer","path":"./.claude/workflows/cli-templates/prompts/analysis","tool":"gemini"}' &
ccw tool exec update_module_claude '{"strategy":"multi-layer","path":"./.claude/workflows/cli-templates/prompts/development","tool":"gemini"}' &
# Depth 1 example (Layer 2 - use single-layer):
~/.claude/scripts/update_module_claude.sh "single-layer" "./src/auth" "gemini" &
~/.claude/scripts/update_module_claude.sh "single-layer" "./src/api" "gemini" &
ccw tool exec update_module_claude '{"strategy":"single-layer","path":"./src/auth","tool":"gemini"}' &
ccw tool exec update_module_claude '{"strategy":"single-layer","path":"./src/api","tool":"gemini"}' &
# ... up to 4 concurrent jobs
# 4. Wait for all depth jobs to complete

View File

@@ -36,10 +36,10 @@ You are a test context discovery specialist focused on gathering test coverage i
**Use**: Phase 1 source context loading
### 2. Test Coverage Discovery
**Primary (Code-Index MCP)**:
- `mcp__code-index__find_files(pattern)` - Find test files (*.test.*, *.spec.*)
- `mcp__code-index__search_code_advanced()` - Search test patterns
- `mcp__code-index__get_file_summary()` - Analyze test structure
**Primary (CCW CodexLens MCP)**:
- `mcp__ccw-tools__codex_lens(action="search_files", query="*.test.*")` - Find test files
- `mcp__ccw-tools__codex_lens(action="search", query="pattern")` - Search test patterns
- `mcp__ccw-tools__codex_lens(action="symbol", file="path")` - Analyze test structure
**Fallback (CLI)**:
- `rg` (ripgrep) - Fast test pattern search
@@ -120,9 +120,10 @@ for (const summary_path of summaries) {
**2.1 Existing Test Discovery**:
```javascript
// Method 1: Code-Index MCP (preferred)
const test_files = mcp__code-index__find_files({
patterns: ["*.test.*", "*.spec.*", "*test_*.py", "*_test.go"]
// Method 1: CodexLens MCP (preferred)
const test_files = mcp__ccw-tools__codex_lens({
action: "search_files",
query: "*.test.* OR *.spec.* OR test_*.py OR *_test.go"
});
// Method 2: Fallback CLI
@@ -397,23 +398,3 @@ function detect_framework_from_config() {
- ✅ All missing tests catalogued with priority
- ✅ Execution time < 30 seconds (< 60s for large codebases)
## Integration Points
### Called By
- `/workflow:tools:test-context-gather` - Orchestrator command
### Calls
- Code-Index MCP tools (preferred)
- ripgrep/find (fallback)
- Bash file operations
### Followed By
- `/workflow:tools:test-concept-enhanced` - Test generation analysis
## Notes
- **Detection-first**: Always check for existing test-context-package before analysis
- **Code-Index priority**: Use MCP tools when available, fallback to CLI
- **Framework agnostic**: Supports Jest, Mocha, pytest, RSpec, etc.
- **Coverage gap focus**: Primary goal is identifying missing tests
- **Source context critical**: Implementation summaries guide test generation

View File

@@ -83,17 +83,18 @@ When task JSON contains implementation_approach array:
- L1 (Unit): `*.test.*`, `*.spec.*` in `__tests__/`, `tests/unit/`
- L2 (Integration): `tests/integration/`, `*.integration.test.*`
- L3 (E2E): `tests/e2e/`, `*.e2e.test.*`, `cypress/`, `playwright/`
- **context-package.json** (CCW Workflow): Extract artifact paths using `jq -r '.brainstorm_artifacts.role_analyses[].files[].path'`
- **context-package.json** (CCW Workflow): Use Read tool to get context package from `.workflow/active/{session}/.process/context-package.json`
- Identify test commands from project configuration
```bash
# Detect test framework and multi-layered commands
if [ -f "package.json" ]; then
# Extract layer-specific test commands
LINT_CMD=$(cat package.json | jq -r '.scripts.lint // "eslint ."')
UNIT_CMD=$(cat package.json | jq -r '.scripts["test:unit"] // .scripts.test')
INTEGRATION_CMD=$(cat package.json | jq -r '.scripts["test:integration"] // ""')
E2E_CMD=$(cat package.json | jq -r '.scripts["test:e2e"] // ""')
# Extract layer-specific test commands using Read tool or jq
PKG_JSON=$(cat package.json)
LINT_CMD=$(echo "$PKG_JSON" | jq -r '.scripts.lint // "eslint ."')
UNIT_CMD=$(echo "$PKG_JSON" | jq -r '.scripts["test:unit"] // .scripts.test')
INTEGRATION_CMD=$(echo "$PKG_JSON" | jq -r '.scripts["test:integration"] // ""')
E2E_CMD=$(echo "$PKG_JSON" | jq -r '.scripts["test:e2e"] // ""')
elif [ -f "pytest.ini" ] || [ -f "setup.py" ]; then
LINT_CMD="ruff check . || flake8 ."
UNIT_CMD="pytest tests/unit/"
@@ -142,9 +143,9 @@ run_test_layer "L1-unit" "$UNIT_CMD"
### 3. Failure Diagnosis & Fixing Loop
**Execution Modes**:
**Execution Modes** (determined by `flow_control.implementation_approach`):
**A. Manual Mode (Default, meta.use_codex=false)**:
**A. Agent Mode (Default, no `command` field in steps)**:
```
WHILE tests are failing AND iterations < max_iterations:
1. Use Gemini to diagnose failure (bug-fix template)
@@ -155,17 +156,17 @@ WHILE tests are failing AND iterations < max_iterations:
END WHILE
```
**B. Codex Mode (meta.use_codex=true)**:
**B. CLI Mode (`command` field present in implementation_approach steps)**:
```
WHILE tests are failing AND iterations < max_iterations:
1. Use Gemini to diagnose failure (bug-fix template)
2. Use Codex to apply fixes automatically with resume mechanism
2. Execute `command` field (e.g., Codex) to apply fixes automatically
3. Re-run test suite
4. Verify fix doesn't break other tests
END WHILE
```
**Codex Resume in Test-Fix Cycle** (when `meta.use_codex=true`):
**Codex Resume in Test-Fix Cycle** (when step has `command` with Codex):
- First iteration: Start new Codex session with full context
- Subsequent iterations: Use `resume --last` to maintain fix history and apply consistent strategies
@@ -331,6 +332,8 @@ When generating test results for orchestrator (saved to `.process/test-results.j
- Break existing passing tests
- Skip final verification
- Leave tests failing - must achieve 100% pass rate
- Use `run_in_background` for Bash() commands - always set `run_in_background=false` to ensure tests run in foreground for proper output capture
- Use complex bash pipe chains (`cmd | grep | awk | sed`) - prefer dedicated tools (Read, Grep, Glob) for file operations and content extraction; simple single-pipe commands are acceptable when necessary
## Quality Certification

View File

@@ -217,11 +217,6 @@ You execute 6 distinct task types organized into 3 patterns. Each task includes
### Structure Optimization
**Layout Structure Benefits**:
- Eliminates redundancy between structure and styling
- Layout properties co-located with DOM elements
- Responsive overrides apply directly to affected elements
- Single source of truth for each element
**Component State Coverage**:
- Interactive components (button, input, dropdown) MUST define: default, hover, focus, active, disabled
@@ -323,270 +318,21 @@ You execute 6 distinct task types organized into 3 patterns. Each task includes
### design-tokens.json
**Template Reference**: `~/.claude/workflows/cli-templates/ui-design/systems/design-tokens.json`
**Format**: W3C Design Tokens Community Group Specification
**Schema Structure**:
```json
{
"$schema": "https://tr.designtokens.org/format/",
"name": "string - Token set name",
"description": "string - Token set description",
"color": {
"background": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" }, "$description": "optional" },
"foreground": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"card": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"card-foreground": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"border": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"input": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"ring": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"interactive": {
"primary": {
"default": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"hover": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"active": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"disabled": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"foreground": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } }
},
"secondary": { "/* Same structure as primary */" },
"accent": { "/* Same structure (no disabled state) */" },
"destructive": { "/* Same structure (no active/disabled states) */" }
},
"muted": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"muted-foreground": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"chart": {
"1": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"2": { "/* ... */" },
"3": { "/* ... */" },
"4": { "/* ... */" },
"5": { "/* ... */" }
},
"sidebar": {
"background": { "$type": "color", "$value": { "light": "oklch(...)", "dark": "oklch(...)" } },
"foreground": { "/* ... */" },
"primary": { "/* ... */" },
"primary-foreground": { "/* ... */" },
"accent": { "/* ... */" },
"accent-foreground": { "/* ... */" },
"border": { "/* ... */" },
"ring": { "/* ... */" }
}
},
"typography": {
"font_families": {
"sans": "string - 'Font Name', fallback1, fallback2",
"serif": "string",
"mono": "string"
},
"font_sizes": {
"xs": "0.75rem",
"sm": "0.875rem",
"base": "1rem",
"lg": "1.125rem",
"xl": "1.25rem",
"2xl": "1.5rem",
"3xl": "1.875rem",
"4xl": "2.25rem"
},
"line_heights": {
"tight": "number",
"normal": "number",
"relaxed": "number"
},
"letter_spacing": {
"tight": "string",
"normal": "string",
"wide": "string"
},
"combinations": [
{
"name": "h1|h2|h3|h4|h5|h6|body|caption",
"font_family": "sans|serif|mono",
"font_size": "string - reference to font_sizes",
"font_weight": "number - 400|500|600|700",
"line_height": "string",
"letter_spacing": "string"
}
]
},
"spacing": {
"0": "0",
"1": "0.25rem",
"2": "0.5rem",
"/* Systematic scale: 3, 4, 6, 8, 12, 16, 20, 24, 32, 40, 48, 56, 64 */"
},
"opacity": {
"disabled": "0.5",
"hover": "0.8",
"active": "1"
},
"shadows": {
"2xs": "string - CSS shadow value",
"xs": "string",
"sm": "string",
"DEFAULT": "string",
"md": "string",
"lg": "string",
"xl": "string",
"2xl": "string"
},
"border_radius": {
"sm": "string - calc() or fixed",
"md": "string",
"lg": "string",
"xl": "string",
"DEFAULT": "string"
},
"breakpoints": {
"sm": "640px",
"md": "768px",
"lg": "1024px",
"xl": "1280px",
"2xl": "1536px"
},
"component": {
"/* COMPONENT PATTERN - Apply to: button, card, input, dialog, dropdown, toast, accordion, tabs, switch, checkbox, badge, alert */": {
"$type": "component",
"base": {
"/* Layout properties using camelCase */": "value or {token.path}",
"display": "inline-flex|flex|block",
"alignItems": "center",
"borderRadius": "{border_radius.md}",
"transition": "{transitions.default}"
},
"size": {
"small": { "height": "32px", "padding": "{spacing.2} {spacing.3}", "fontSize": "{typography.font_sizes.xs}" },
"default": { "height": "40px", "padding": "{spacing.2} {spacing.4}" },
"large": { "height": "48px", "padding": "{spacing.3} {spacing.6}", "fontSize": "{typography.font_sizes.base}" }
},
"variant": {
"variantName": {
"default": { "backgroundColor": "{color.interactive.primary.default}", "color": "{color.interactive.primary.foreground}" },
"hover": { "backgroundColor": "{color.interactive.primary.hover}" },
"active": { "backgroundColor": "{color.interactive.primary.active}" },
"disabled": { "backgroundColor": "{color.interactive.primary.disabled}", "opacity": "{opacity.disabled}", "cursor": "not-allowed" },
"focus": { "outline": "2px solid {color.ring}", "outlineOffset": "2px" }
}
},
"state": {
"/* For stateful components (dialog, accordion, etc.) */": {
"open": { "animation": "{animation.name.component-open} {animation.duration.normal} {animation.easing.ease-out}" },
"closed": { "animation": "{animation.name.component-close} {animation.duration.normal} {animation.easing.ease-in}" }
}
}
}
},
"elevation": {
"$type": "elevation",
"base": { "$value": "0" },
"overlay": { "$value": "40" },
"dropdown": { "$value": "50" },
"dialog": { "$value": "50" },
"tooltip": { "$value": "60" }
},
"_metadata": {
"version": "string - W3C version or custom version",
"created": "ISO timestamp - 2024-01-01T00:00:00Z",
"source": "code-import|explore|text",
"theme_colors_guide": {
"description": "Theme colors are the core brand identity colors that define the visual hierarchy and emotional tone of the design system",
"primary": {
"role": "Main brand color",
"usage": "Primary actions (CTAs, key interactive elements, navigation highlights, primary buttons)",
"contrast_requirement": "WCAG AA - 4.5:1 for text, 3:1 for UI components"
},
"secondary": {
"role": "Supporting brand color",
"usage": "Secondary actions and complementary elements (less prominent buttons, secondary navigation, supporting features)",
"principle": "Should complement primary without competing for attention"
},
"accent": {
"role": "Highlight color for emphasis",
"usage": "Attention-grabbing elements used sparingly (badges, notifications, special promotions, highlights)",
"principle": "Should create strong visual contrast to draw focus"
},
"destructive": {
"role": "Error and destructive action color",
"usage": "Delete buttons, error messages, critical warnings",
"principle": "Must signal danger or caution clearly"
},
"harmony_note": "All theme colors must work harmoniously together and align with brand identity. In multi-file extraction, prioritize definitions with semantic comments explaining brand intent."
},
"conflicts": [
{
"token_name": "string - which token has conflicts",
"category": "string - colors|typography|etc",
"definitions": [
{
"value": "string - token value",
"source_file": "string - absolute path",
"line_number": "number",
"context": "string - surrounding comment or null",
"semantic_intent": "string - interpretation of definition"
}
],
"selected_value": "string - final chosen value",
"selection_reason": "string - why this value was chosen"
}
],
"code_snippets": [
{
"category": "colors|typography|spacing|shadows|border_radius|component",
"token_name": "string - which token this snippet defines",
"source_file": "string - absolute path",
"line_start": "number",
"line_end": "number",
"snippet": "string - complete code block",
"context_type": "css-variable|css-class|js-object|scss-variable|etc"
}
],
"usage_recommendations": {
"typography": {
"common_sizes": {
"small_text": "sm (0.875rem)",
"body_text": "base (1rem)",
"heading": "2xl-4xl"
},
"common_combinations": [
{
"name": "Heading + Body",
"heading": "2xl",
"body": "base",
"use_case": "Article sections"
}
]
},
"spacing": {
"size_guide": {
"tight": "1-2 (0.25rem-0.5rem)",
"normal": "4-6 (1rem-1.5rem)",
"loose": "8-12 (2rem-3rem)"
},
"common_patterns": [
{
"pattern": "padding-4 margin-bottom-6",
"use_case": "Card content spacing",
"pixel_value": "1rem padding, 1.5rem margin"
}
]
}
}
}
}
```
**Structure Overview**:
- **color**: Base colors, interactive states (primary, secondary, accent, destructive), muted, chart, sidebar
- **typography**: Font families, sizes, line heights, letter spacing, combinations
- **spacing**: Systematic scale (0-64, multiples of 0.25rem)
- **opacity**: disabled, hover, active
- **shadows**: 2xs to 2xl (8-tier system)
- **border_radius**: sm to xl + DEFAULT
- **breakpoints**: sm to 2xl
- **component**: 12+ components with base, size, variant, state structures
- **elevation**: z-index values for layered components
- **_metadata**: version, created, source, theme_colors_guide, conflicts, code_snippets, usage_recommendations
**Required Components** (12+ components, use pattern above):
- **button**: 5 variants (primary, secondary, destructive, outline, ghost) + 3 sizes + states (default, hover, active, disabled, focus)
@@ -637,136 +383,26 @@ You execute 6 distinct task types organized into 3 patterns. Each task includes
### layout-templates.json
**Template Reference**: `~/.claude/workflows/cli-templates/ui-design/systems/layout-templates.json`
**Optimization**: Unified structure combining DOM and styling into single hierarchy
**Schema Structure**:
```json
{
"$schema": "https://tr.designtokens.org/format/",
"templates": [
{
"target": "string - page/component name (e.g., hero-section, product-card)",
"description": "string - layout description",
"component_type": "universal|specialized",
"device_type": "mobile|tablet|desktop|responsive",
"layout_strategy": "string - grid-3col|flex-row|stack|sidebar|etc",
"structure": {
"tag": "string - HTML5 semantic tag (header|nav|main|section|article|aside|footer|div|etc)",
"attributes": {
"class": "string - semantic class name",
"role": "string - ARIA role (navigation|main|complementary|etc)",
"aria-label": "string - ARIA label",
"aria-describedby": "string - ARIA describedby",
"data-state": "string - data attributes for state management (open|closed|etc)"
},
"layout": {
"/* LAYOUT PROPERTIES ONLY - Use camelCase for property names */": "",
"display": "grid|flex|block|inline-flex",
"grid-template-columns": "{spacing.*} or CSS value (repeat(3, 1fr))",
"grid-template-rows": "string",
"gap": "{spacing.*}",
"padding": "{spacing.*}",
"margin": "{spacing.*}",
"alignItems": "start|center|end|stretch",
"justifyContent": "start|center|end|space-between|space-around",
"flexDirection": "row|column",
"flexWrap": "wrap|nowrap",
"position": "relative|absolute|fixed|sticky",
"top|right|bottom|left": "string",
"width": "string",
"height": "string",
"maxWidth": "string",
"minHeight": "string"
},
"responsive": {
"/* ONLY properties that CHANGE at each breakpoint - NO repetition */": "",
"sm": {
"grid-template-columns": "1fr",
"padding": "{spacing.4}"
},
"md": {
"grid-template-columns": "repeat(2, 1fr)",
"gap": "{spacing.6}"
},
"lg": {
"grid-template-columns": "repeat(3, 1fr)"
}
},
"children": [
{
"/* Recursive structure - same fields as parent */": "",
"tag": "string",
"attributes": {},
"layout": {},
"responsive": {},
"children": [],
"content": "string or {{placeholder}}"
}
],
"content": "string - text content or {{placeholder}} for dynamic content"
},
"accessibility": {
"patterns": [
"string - ARIA patterns used (e.g., WAI-ARIA Tabs pattern, Dialog pattern)"
],
"keyboard_navigation": [
"string - keyboard shortcuts (e.g., Tab/Shift+Tab navigation, Escape to close)"
],
"focus_management": "string - focus trap strategy, initial focus target",
"screen_reader_notes": [
"string - screen reader announcements (e.g., Dialog opened, Tab selected)"
]
},
"usage_guide": {
"common_sizes": {
"small": {
"dimensions": "string - e.g., px-3 py-1.5 (height: ~32px)",
"use_case": "string - Compact UI, mobile views"
},
"medium": {
"dimensions": "string - e.g., px-4 py-2 (height: ~40px)",
"use_case": "string - Default size for most contexts"
},
"large": {
"dimensions": "string - e.g., px-6 py-3 (height: ~48px)",
"use_case": "string - Prominent CTAs, hero sections"
}
},
"variant_recommendations": {
"variant_name": {
"description": "string - when to use this variant",
"typical_actions": ["string - action examples"]
}
},
"usage_context": [
"string - typical usage scenarios (e.g., Landing page hero, Product listing grid)"
],
"accessibility_tips": [
"string - accessibility best practices (e.g., Ensure heading hierarchy, Add aria-label)"
]
},
"extraction_metadata": {
"source": "code-import|explore|text",
"created": "ISO timestamp",
"code_snippets": [
{
"component_name": "string - which layout component",
"source_file": "string - absolute path",
"line_start": "number",
"line_end": "number",
"snippet": "string - complete HTML/CSS/JS code block",
"context_type": "html-structure|css-utility|react-component|vue-component|etc"
}
]
}
}
]
}
```
**Structure Overview**:
- **templates[]**: Array of layout templates
- **target**: page/component name (hero-section, product-card)
- **component_type**: universal | specialized
- **device_type**: mobile | tablet | desktop | responsive
- **layout_strategy**: grid-3col, flex-row, stack, sidebar, etc.
- **structure**: Unified DOM + layout hierarchy
- **tag**: HTML5 semantic tags
- **attributes**: class, role, aria-*, data-state
- **layout**: Layout properties only (display, grid, flex, position, spacing) using {token.path}
- **responsive**: Breakpoint-specific overrides (ONLY changed properties)
- **children**: Recursive structure
- **content**: Text or {{placeholder}}
- **accessibility**: patterns, keyboard_navigation, focus_management, screen_reader_notes
- **usage_guide**: common_sizes, variant_recommendations, usage_context, accessibility_tips
- **extraction_metadata**: source, created, code_snippets
**Field Rules**:
- $schema MUST reference W3C Design Tokens format specification
@@ -784,149 +420,25 @@ You execute 6 distinct task types organized into 3 patterns. Each task includes
- usage_guide OPTIONAL for specialized components (can be simplified or omitted)
- extraction_metadata.code_snippets ONLY present in Code Import mode
**Structure Optimization Benefits**:
- Eliminates redundancy between dom_structure and css_layout_rules
- Layout properties are co-located with corresponding DOM elements
- Responsive overrides apply directly to the element they affect
- Single source of truth for each element's structure and layout
- Easier to maintain and understand hierarchy
### animation-tokens.json
**Schema Structure**:
```json
{
"$schema": "https://tr.designtokens.org/format/",
**Template Reference**: `~/.claude/workflows/cli-templates/ui-design/systems/animation-tokens.json`
"duration": {
"$type": "duration",
"instant": { "$value": "0ms" },
"fast": { "$value": "150ms" },
"normal": { "$value": "300ms" },
"slow": { "$value": "500ms" },
"slower": { "$value": "1000ms" }
},
"easing": {
"$type": "cubicBezier",
"linear": { "$value": "linear" },
"ease-in": { "$value": "cubic-bezier(0.4, 0, 1, 1)" },
"ease-out": { "$value": "cubic-bezier(0, 0, 0.2, 1)" },
"ease-in-out": { "$value": "cubic-bezier(0.4, 0, 0.2, 1)" },
"spring": { "$value": "cubic-bezier(0.68, -0.55, 0.265, 1.55)" },
"bounce": { "$value": "cubic-bezier(0.68, -0.6, 0.32, 1.6)" }
},
"keyframes": {
"/* PATTERN: Define pairs (in/out, open/close, enter/exit) */": {
"0%": { "/* CSS properties */": "value" },
"100%": { "/* CSS properties */": "value" }
},
"/* Required keyframes for components: */": "",
"fade-in": { "0%": { "opacity": "0" }, "100%": { "opacity": "1" } },
"fade-out": { "/* reverse of fade-in */" },
"slide-up": { "0%": { "transform": "translateY(10px)", "opacity": "0" }, "100%": { "transform": "translateY(0)", "opacity": "1" } },
"slide-down": { "/* reverse direction */" },
"scale-in": { "0%": { "transform": "scale(0.95)", "opacity": "0" }, "100%": { "transform": "scale(1)", "opacity": "1" } },
"scale-out": { "/* reverse of scale-in */" },
"accordion-down": { "0%": { "height": "0", "opacity": "0" }, "100%": { "height": "var(--radix-accordion-content-height)", "opacity": "1" } },
"accordion-up": { "/* reverse */" },
"dialog-open": { "0%": { "transform": "translate(-50%, -48%) scale(0.96)", "opacity": "0" }, "100%": { "transform": "translate(-50%, -50%) scale(1)", "opacity": "1" } },
"dialog-close": { "/* reverse */" },
"dropdown-open": { "0%": { "transform": "scale(0.95) translateY(-4px)", "opacity": "0" }, "100%": { "transform": "scale(1) translateY(0)", "opacity": "1" } },
"dropdown-close": { "/* reverse */" },
"toast-enter": { "0%": { "transform": "translateX(100%)", "opacity": "0" }, "100%": { "transform": "translateX(0)", "opacity": "1" } },
"toast-exit": { "/* reverse */" },
"spin": { "0%": { "transform": "rotate(0deg)" }, "100%": { "transform": "rotate(360deg)" } },
"pulse": { "0%, 100%": { "opacity": "1" }, "50%": { "opacity": "0.5" } }
},
"interactions": {
"/* PATTERN: Define for each interactive component state */": {
"property": "string - CSS properties (comma-separated)",
"duration": "{duration.*}",
"easing": "{easing.*}"
},
"button-hover": { "property": "background-color, transform", "duration": "{duration.fast}", "easing": "{easing.ease-out}" },
"button-active": { "property": "transform", "duration": "{duration.instant}", "easing": "{easing.ease-in}" },
"card-hover": { "property": "box-shadow, transform", "duration": "{duration.normal}", "easing": "{easing.ease-in-out}" },
"input-focus": { "property": "border-color, box-shadow", "duration": "{duration.fast}", "easing": "{easing.ease-out}" },
"dropdown-toggle": { "property": "opacity, transform", "duration": "{duration.fast}", "easing": "{easing.ease-out}" },
"accordion-toggle": { "property": "height, opacity", "duration": "{duration.normal}", "easing": "{easing.ease-in-out}" },
"dialog-toggle": { "property": "opacity, transform", "duration": "{duration.normal}", "easing": "{easing.spring}" },
"tabs-switch": { "property": "color, border-color", "duration": "{duration.fast}", "easing": "{easing.ease-in-out}" }
},
"transitions": {
"default": { "$value": "all {duration.normal} {easing.ease-in-out}" },
"colors": { "$value": "color {duration.fast} {easing.linear}, background-color {duration.fast} {easing.linear}" },
"transform": { "$value": "transform {duration.normal} {easing.spring}" },
"opacity": { "$value": "opacity {duration.fast} {easing.linear}" },
"all-smooth": { "$value": "all {duration.slow} {easing.ease-in-out}" }
},
"component_animations": {
"/* PATTERN: Map each component to its animations - MUST match design-tokens.json component list */": {
"stateOrInteraction": {
"animation": "keyframe-name {duration.*} {easing.*} OR none",
"transition": "{interactions.*} OR none"
}
},
"button": {
"hover": { "animation": "none", "transition": "{interactions.button-hover}" },
"active": { "animation": "none", "transition": "{interactions.button-active}" }
},
"card": {
"hover": { "animation": "none", "transition": "{interactions.card-hover}" }
},
"input": {
"focus": { "animation": "none", "transition": "{interactions.input-focus}" }
},
"dialog": {
"open": { "animation": "dialog-open {duration.normal} {easing.spring}" },
"close": { "animation": "dialog-close {duration.normal} {easing.ease-in}" }
},
"dropdown": {
"open": { "animation": "dropdown-open {duration.fast} {easing.ease-out}" },
"close": { "animation": "dropdown-close {duration.fast} {easing.ease-in}" }
},
"toast": {
"enter": { "animation": "toast-enter {duration.normal} {easing.ease-out}" },
"exit": { "animation": "toast-exit {duration.normal} {easing.ease-in}" }
},
"accordion": {
"open": { "animation": "accordion-down {duration.normal} {easing.ease-out}" },
"close": { "animation": "accordion-up {duration.normal} {easing.ease-in}" }
},
"/* Add mappings for: tabs, switch, checkbox, badge, alert */" : {}
},
"accessibility": {
"prefers_reduced_motion": {
"duration": "0ms",
"keyframes": {},
"note": "Disable animations when user prefers reduced motion",
"css_rule": "@media (prefers-reduced-motion: reduce) { *, *::before, *::after { animation-duration: 0.01ms !important; animation-iteration-count: 1 !important; transition-duration: 0.01ms !important; } }"
}
},
"_metadata": {
"version": "string",
"created": "ISO timestamp",
"source": "code-import|explore|text",
"code_snippets": [
{
"animation_name": "string - keyframe/transition name",
"source_file": "string - absolute path",
"line_start": "number",
"line_end": "number",
"snippet": "string - complete @keyframes or transition code",
"context_type": "css-keyframes|css-transition|js-animation|scss-animation|etc"
}
]
}
}
```
**Structure Overview**:
- **duration**: instant (0ms), fast (150ms), normal (300ms), slow (500ms), slower (1000ms)
- **easing**: linear, ease-in, ease-out, ease-in-out, spring, bounce
- **keyframes**: Animation definitions in pairs (in/out, open/close, enter/exit)
- Required: fade-in/out, slide-up/down, scale-in/out, accordion-down/up, dialog-open/close, dropdown-open/close, toast-enter/exit, spin, pulse
- **interactions**: Component interaction animations with property, duration, easing
- button-hover/active, card-hover, input-focus, dropdown-toggle, accordion-toggle, dialog-toggle, tabs-switch
- **transitions**: default, colors, transform, opacity, all-smooth
- **component_animations**: Maps components to animations (MUST match design-tokens.json components)
- State-based: dialog, dropdown, toast, accordion (use keyframes)
- Interaction: button, card, input, tabs (use transitions)
- **accessibility**: prefers_reduced_motion with CSS rule
- **_metadata**: version, created, source, code_snippets
**Field Rules**:
- $schema MUST reference W3C Design Tokens format specification

47
.claude/cli-tools.json Normal file
View File

@@ -0,0 +1,47 @@
{
"version": "1.0.0",
"tools": {
"gemini": {
"enabled": true,
"isBuiltin": true,
"command": "gemini",
"description": "Google AI for code analysis"
},
"qwen": {
"enabled": true,
"isBuiltin": true,
"command": "qwen",
"description": "Alibaba AI assistant"
},
"codex": {
"enabled": true,
"isBuiltin": true,
"command": "codex",
"description": "OpenAI code generation"
},
"claude": {
"enabled": true,
"isBuiltin": true,
"command": "claude",
"description": "Anthropic AI assistant"
}
},
"customEndpoints": [],
"defaultTool": "gemini",
"settings": {
"promptFormat": "plain",
"smartContext": {
"enabled": false,
"maxFiles": 10
},
"nativeResume": true,
"recursiveQuery": true,
"cache": {
"injectionMode": "auto",
"defaultPrefix": "",
"defaultSuffix": ""
},
"codeIndexMcp": "ace"
},
"$schema": "./cli-tools.schema.json"
}

View File

@@ -1,87 +0,0 @@
---
name: analyze
description: Read-only codebase analysis using Gemini (default), Qwen, or Codex with auto-pattern detection and template selection
argument-hint: "[--tool codex|gemini|qwen] [--enhance] analysis target"
allowed-tools: SlashCommand(*), Bash(*), TodoWrite(*), Read(*), Glob(*), Task(*)
---
# CLI Analyze Command (/cli:analyze)
## Purpose
Quick codebase analysis using CLI tools. **Read-only - does NOT modify code**.
**Tool Selection**:
- **gemini** (default) - Best for code analysis
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for deep analysis
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Use `/enhance-prompt` for context-aware enhancement
- `<analysis-target>` - Description of what to analyze
## Tool Usage
**Gemini** (Primary):
```bash
--tool gemini # or omit (default)
```
**Qwen** (Fallback):
```bash
--tool qwen
```
**Codex** (Alternative):
```bash
--tool codex
```
## Execution Flow
Uses **cli-execution-agent** (default) for automated analysis:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Codebase analysis with pattern detection",
prompt=`
Task: ${analysis_target}
Mode: analyze
Tool: ${tool_flag || 'gemini'}
Enhance: ${enhance_flag}
Execute codebase analysis with auto-pattern detection:
1. Context Discovery:
- Extract keywords from analysis target
- Auto-detect file patterns (auth→auth files, component→components, etc.)
- Discover additional relevant files using MCP
- Build comprehensive file context
2. Template Selection:
- Auto-select analysis template based on keywords
- Apply appropriate analysis methodology
- Include @CLAUDE.md for project context
3. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for deep analysis)
- Context: @CLAUDE.md + auto-detected patterns + discovered files
- Mode: analysis (read-only)
- Expected: Insights, recommendations, pattern analysis
4. Execution & Output:
- Execute CLI tool with assembled context
- Generate comprehensive analysis report
- Save to .workflow/active/WFS-[id]/.chat/analyze-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Analyzes code, does NOT modify files
- **Auto-pattern**: Detects file patterns from keywords (auth→auth files, component→components, API→api/routes, test→test files)
- **Output**: `.workflow/active/WFS-[id]/.chat/analyze-[timestamp].md` (or `.scratchpad/` if no session)

View File

@@ -1,82 +0,0 @@
---
name: chat
description: Read-only Q&A interaction with Gemini/Qwen/Codex for codebase questions with automatic context inference
argument-hint: "[--tool codex|gemini|qwen] [--enhance] inquiry"
allowed-tools: SlashCommand(*), Bash(*), Task(*)
---
# CLI Chat Command (/cli:chat)
## Purpose
Direct Q&A interaction with CLI tools for codebase analysis. **Read-only - does NOT modify code**.
**Tool Selection**:
- **gemini** (default) - Best for Q&A and explanations
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for technical deep-dives
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Enhance inquiry with `/enhance-prompt`
- `<inquiry>` (Required) - Question or analysis request
## Tool Usage
**Gemini** (Primary):
```bash
--tool gemini # or omit (default)
```
**Qwen** (Fallback):
```bash
--tool qwen
```
**Codex** (Alternative):
```bash
--tool codex
```
## Execution Flow
Uses **cli-execution-agent** (default) for automated Q&A:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Codebase Q&A with intelligent context discovery",
prompt=`
Task: ${inquiry}
Mode: chat
Tool: ${tool_flag || 'gemini'}
Enhance: ${enhance_flag}
Execute codebase Q&A with intelligent context discovery:
1. Context Discovery:
- Parse inquiry to identify relevant topics/keywords
- Discover related files using MCP/ripgrep (prioritize precision)
- Include @CLAUDE.md + discovered files
- Validate context relevance to question
2. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for deep dives)
- Context: @CLAUDE.md + discovered file patterns
- Mode: analysis (read-only)
- Expected: Clear, accurate answer with code references
3. Execution & Output:
- Execute CLI tool with assembled context
- Validate answer completeness
- Save to .workflow/active/WFS-[id]/.chat/chat-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Provides answers, does NOT modify code
- **Context**: `@CLAUDE.md` + inferred or all files (`@**/*`)
- **Output**: `.workflow/active/WFS-[id]/.chat/chat-[timestamp].md` (or `.scratchpad/` if no session)

View File

@@ -191,7 +191,7 @@ target/
### Step 2: Workspace Analysis (MANDATORY FIRST)
```bash
# Analyze workspace structure
bash(~/.claude/scripts/get_modules_by_depth.sh json)
bash(ccw tool exec get_modules_by_depth '{"format":"json"}')
```
### Step 3: Technology Detection
@@ -428,15 +428,6 @@ docker-compose.override.yml
/cli:cli-init --tool all --preview
```
## Key Benefits
- **Automatic Detection**: No manual configuration needed
- **Multi-Tool Support**: Configure Gemini and Qwen simultaneously
- **Technology Aware**: Rules adapted to actual project stack
- **Maintainable**: Clear sections for easy customization
- **Consistent**: Follows gitignore syntax standards
- **Safe**: Creates backups of existing files
- **Flexible**: Initialize specific tools or all at once
## Tool Selection Guide

View File

@@ -1,519 +0,0 @@
---
name: codex-execute
description: Multi-stage Codex execution with automatic task decomposition into grouped subtasks using resume mechanism for context continuity
argument-hint: "[--verify-git] task description or task-id"
allowed-tools: SlashCommand(*), Bash(*), TodoWrite(*), Read(*), Glob(*)
---
# CLI Codex Execute Command (/cli:codex-execute)
## Purpose
Automated task decomposition and sequential execution with Codex, using `codex exec "..." resume --last` mechanism for continuity between subtasks.
**Input**: User description or task ID (automatically loads from `.task/[ID].json` if applicable)
## Core Workflow
```
Task Input → Analyze Dependencies → Create Task Flow Diagram →
Decompose into Subtask Groups → TodoWrite Tracking →
For Each Subtask Group:
For First Subtask in Group:
0. Stage existing changes (git add -A) if valid git repo
1. Execute with Codex (new session)
2. [Optional] Git verification
3. Mark complete in TodoWrite
For Related Subtasks in Same Group:
0. Stage changes from previous subtask
1. Execute with `codex exec "..." resume --last` (continue session)
2. [Optional] Git verification
3. Mark complete in TodoWrite
→ Final Summary
```
## Parameters
- `<input>` (Required): Task description or task ID (e.g., "implement auth" or "IMPL-001")
- If input matches task ID format, loads from `.task/[ID].json`
- Otherwise, uses input as task description
- `--verify-git` (Optional): Verify git status after each subtask completion
## Execution Flow
### Phase 1: Input Processing & Task Flow Analysis
1. **Parse Input**:
- Check if input matches task ID pattern (e.g., `IMPL-001`, `TASK-123`)
- If yes: Load from `.task/[ID].json` and extract requirements
- If no: Use input as task description directly
2. **Analyze Dependencies & Create Task Flow Diagram**:
- Analyze task complexity and scope
- Identify dependencies and relationships between subtasks
- Create visual task flow diagram showing:
- Independent task groups (parallel execution possible)
- Sequential dependencies (must use resume)
- Branching logic (conditional paths)
- Display flow diagram for user review
**Task Flow Diagram Format**:
```
[Group A: Auth Core]
A1: Create user model ──┐
A2: Add validation ─┤─► [resume] ─► A3: Database schema
[Group B: API Layer] │
B1: Auth endpoints ─────┘─► [new session]
B2: Middleware ────────────► [resume] ─► B3: Error handling
[Group C: Testing]
C1: Unit tests ─────────────► [new session]
C2: Integration tests ──────► [resume]
```
**Diagram Symbols**:
- `──►` Sequential dependency (must resume previous session)
- `─┐` Branch point (multiple paths)
- `─┘` Merge point (wait for completion)
- `[resume]` Use `codex exec "..." resume --last`
- `[new session]` Start fresh Codex session
3. **Decompose into Subtask Groups**:
- Group related subtasks that share context
- Break down into 3-8 subtasks total
- Assign each subtask to a group
- Create TodoWrite tracker with groups
- Display decomposition for user review
**Decomposition Criteria**:
- Each subtask: 5-15 minutes completable
- Clear, testable outcomes
- Explicit dependencies
- Focused file scope (1-5 files per subtask)
- **Group coherence**: Subtasks in same group share context/files
### File Discovery for Task Decomposition
Use `rg` or MCP tools to discover relevant files, then group by domain:
**Workflow**: Discover → Analyze scope → Group by files → Create task flow
**Example**:
```bash
# Discover files
rg "authentication" --files-with-matches --type ts
# Group by domain
# Group A: src/auth/model.ts, src/auth/schema.ts
# Group B: src/api/auth.ts, src/middleware/auth.ts
# Group C: tests/auth/*.test.ts
# Each group becomes a session with related subtasks
```
File patterns: see intelligent-tools-strategy.md (loaded in memory)
### Phase 2: Group-Based Execution
**Pre-Execution Git Staging** (if valid git repository):
```bash
# Stage all current changes before codex execution
# This makes codex changes clearly visible in git diff
git add -A
git status --short
```
**For First Subtask in Each Group** (New Session):
```bash
# Start new Codex session for independent task group
codex -C [dir] --full-auto exec "
PURPOSE: [group goal]
TASK: [subtask description - first in group]
CONTEXT: @{relevant_files} @CLAUDE.md
EXPECTED: [specific deliverables]
RULES: [constraints]
Group [X]: [group name] - Subtask 1 of N in this group
" --skip-git-repo-check -s danger-full-access
```
**For Related Subtasks in Same Group** (Resume Session):
```bash
# Stage changes from previous subtask (if valid git repository)
git add -A
# Resume session ONLY for subtasks in same group
codex exec "
CONTINUE IN SAME GROUP:
Group [X]: [group name] - Subtask N of M
PURPOSE: [continuation goal within group]
TASK: [subtask N description]
CONTEXT: Previous work in this group completed, now focus on @{new_relevant_files}
EXPECTED: [specific deliverables]
RULES: Build on previous subtask in group, maintain consistency
" resume --last --skip-git-repo-check -s danger-full-access
```
**For First Subtask in Different Group** (New Session):
```bash
# Stage changes from previous group
git add -A
# Start NEW session for different group (no resume)
codex -C [dir] --full-auto exec "
PURPOSE: [new group goal]
TASK: [subtask description - first in new group]
CONTEXT: @{different_files} @CLAUDE.md
EXPECTED: [specific deliverables]
RULES: [constraints]
Group [Y]: [new group name] - Subtask 1 of N in this group
" --skip-git-repo-check -s danger-full-access
```
**Resume Decision Logic**:
```
if (subtask.group == previous_subtask.group):
use `codex exec "..." resume --last` # Continue session
else:
use `codex -C [dir] exec "..."` # New session
```
### Phase 3: Verification (if --verify-git enabled)
After each subtask completion:
```bash
# Check git status
git status --short
# Verify expected changes
git diff --stat
# Optional: Check for untracked files that should be committed
git ls-files --others --exclude-standard
```
**Verification Checks**:
- Files modified match subtask scope
- No unexpected changes in unrelated files
- No merge conflicts or errors
- Code compiles/runs (if applicable)
### Phase 4: TodoWrite Tracking with Groups
**Initial Setup with Task Flow**:
```javascript
TodoWrite({
todos: [
// Display task flow diagram first
{ content: "Task Flow Analysis Complete - See diagram above", status: "completed", activeForm: "Analyzing task flow" },
// Group A subtasks (will use resume within group)
{ content: "[Group A] Subtask 1: [description]", status: "in_progress", activeForm: "Executing Group A subtask 1" },
{ content: "[Group A] Subtask 2: [description] [resume]", status: "pending", activeForm: "Executing Group A subtask 2" },
// Group B subtasks (new session, then resume within group)
{ content: "[Group B] Subtask 1: [description] [new session]", status: "pending", activeForm: "Executing Group B subtask 1" },
{ content: "[Group B] Subtask 2: [description] [resume]", status: "pending", activeForm: "Executing Group B subtask 2" },
// Group C subtasks (new session)
{ content: "[Group C] Subtask 1: [description] [new session]", status: "pending", activeForm: "Executing Group C subtask 1" },
{ content: "Final verification and summary", status: "pending", activeForm: "Verifying and summarizing" }
]
})
```
**After Each Subtask**:
```javascript
TodoWrite({
todos: [
{ content: "Task Flow Analysis Complete - See diagram above", status: "completed", activeForm: "Analyzing task flow" },
{ content: "[Group A] Subtask 1: [description]", status: "completed", activeForm: "Executing Group A subtask 1" },
{ content: "[Group A] Subtask 2: [description] [resume]", status: "in_progress", activeForm: "Executing Group A subtask 2" },
// ... update status
]
})
```
## Codex Resume Mechanism
**Why Group-Based Resume?**
- **Within Group**: Maintains conversation context for related subtasks
- Codex remembers previous decisions and patterns
- Reduces context repetition
- Ensures consistency in implementation style
- **Between Groups**: Fresh session for independent tasks
- Avoids context pollution from unrelated work
- Prevents confusion when switching domains
- Maintains focused attention on current group
**How It Works**:
1. **First subtask in Group A**: Creates new Codex session
2. **Subsequent subtasks in Group A**: Use `codex resume --last` to continue session
3. **First subtask in Group B**: Creates NEW Codex session (no resume)
4. **Subsequent subtasks in Group B**: Use `codex resume --last` within Group B
5. Each group builds on its own context, isolated from other groups
**When to Resume vs New Session**:
```
RESUME (same group):
- Subtasks share files/modules
- Logical continuation of previous work
- Same architectural domain
NEW SESSION (different group):
- Independent task area
- Different files/modules
- Switching architectural domains
- Testing after implementation
```
**Image Support**:
```bash
# First subtask with design reference
codex -C [dir] -i design.png --full-auto exec "..." --skip-git-repo-check -s danger-full-access
# Resume for next subtask (image context preserved)
codex exec "CONTINUE TO NEXT SUBTASK: ..." resume --last --skip-git-repo-check -s danger-full-access
```
## Error Handling
**Subtask Failure**:
1. Mark subtask as blocked in TodoWrite
2. Report error details to user
3. Pause execution for manual intervention
4. Use AskUserQuestion for recovery decision:
```typescript
AskUserQuestion({
questions: [{
question: "Codex execution failed for the subtask. How should the workflow proceed?",
header: "Recovery",
options: [
{ label: "Retry Subtask", description: "Attempt to execute the same subtask again." },
{ label: "Skip Subtask", description: "Continue to the next subtask in the plan." },
{ label: "Abort Workflow", description: "Stop the entire execution." }
],
multiSelect: false
}]
})
```
**Git Verification Failure** (if --verify-git):
1. Show unexpected changes
2. Pause execution
3. Request user decision:
- Continue anyway
- Rollback and retry
- Manual fix
**Codex Session Lost**:
1. Detect if `codex exec "..." resume --last` fails
2. Attempt retry with fresh session
3. Report to user if manual intervention needed
## Output Format
**During Execution**:
```
Task Flow Diagram:
[Group A: Auth Core]
A1: Create user model ──┐
A2: Add validation ─┤─► [resume] ─► A3: Database schema
[Group B: API Layer] │
B1: Auth endpoints ─────┘─► [new session]
B2: Middleware ────────────► [resume] ─► B3: Error handling
[Group C: Testing]
C1: Unit tests ─────────────► [new session]
C2: Integration tests ──────► [resume]
Task Decomposition:
[Group A] 1. Create user model
[Group A] 2. Add validation logic [resume]
[Group A] 3. Implement database schema [resume]
[Group B] 4. Create auth endpoints [new session]
[Group B] 5. Add middleware [resume]
[Group B] 6. Error handling [resume]
[Group C] 7. Unit tests [new session]
[Group C] 8. Integration tests [resume]
[Group A] Executing Subtask 1/8: Create user model
Starting new Codex session for Group A...
[Codex output]
Subtask 1 completed
Git Verification:
M src/models/user.ts
Changes verified
[Group A] Executing Subtask 2/8: Add validation logic
Resuming Codex session (same group)...
[Codex output]
Subtask 2 completed
[Group B] Executing Subtask 4/8: Create auth endpoints
Starting NEW Codex session for Group B...
[Codex output]
Subtask 4 completed
...
All Subtasks Completed
Summary: [file references, changes, next steps]
```
**Final Summary**:
```markdown
# Task Execution Summary: [Task Description]
## Subtasks Completed
1. [Subtask 1]: [files modified]
2. [Subtask 2]: [files modified]
...
## Files Modified
- src/file1.ts:10-50 - [changes]
- src/file2.ts - [changes]
## Git Status
- N files modified
- M files added
- No conflicts
## Next Steps
- [Suggested follow-up actions]
```
## Examples
**Example 1: Simple Task with Groups**
```bash
/cli:codex-execute "implement user authentication system"
# Task Flow Diagram:
# [Group A: Data Layer]
# A1: Create user model ──► [resume] ──► A2: Database schema
#
# [Group B: Auth Logic]
# B1: JWT token generation ──► [new session]
# B2: Authentication middleware ──► [resume]
#
# [Group C: API Endpoints]
# C1: Login/logout endpoints ──► [new session]
#
# [Group D: Testing]
# D1: Unit tests ──► [new session]
# D2: Integration tests ──► [resume]
# Execution:
# Group A: A1 (new) → A2 (resume)
# Group B: B1 (new) → B2 (resume)
# Group C: C1 (new)
# Group D: D1 (new) → D2 (resume)
```
**Example 2: With Git Verification**
```bash
/cli:codex-execute --verify-git "refactor API layer to use dependency injection"
# After each subtask, verifies:
# - Only expected files modified
# - No breaking changes in unrelated code
# - Tests still pass
```
**Example 3: With Task ID**
```bash
/cli:codex-execute IMPL-001
# Loads task from .task/IMPL-001.json
# Decomposes based on task requirements
```
## Best Practices
1. **Task Flow First**: Always create visual flow diagram before execution
2. **Group Related Work**: Cluster subtasks by domain/files for efficient resume
3. **Subtask Granularity**: Keep subtasks small and focused (5-15 min each)
4. **Clear Boundaries**: Each subtask should have well-defined input/output
5. **Git Hygiene**: Use `--verify-git` for critical refactoring
6. **Pre-Execution Staging**: Stage changes before each subtask to clearly see codex modifications
7. **Smart Resume**: Use `resume --last` ONLY within same group
8. **Fresh Sessions**: Start new session when switching to different group/domain
9. **Recovery Points**: TodoWrite with group labels provides clear progress tracking
10. **Image References**: Attach design files for UI tasks (first subtask in group)
## Input Processing
**Automatic Detection**:
- Input matches task ID pattern → Load from `.task/[ID].json`
- Otherwise → Use as task description
**Task JSON Structure** (when loading from file):
```json
{
"task_id": "IMPL-001",
"title": "Implement user authentication",
"description": "Create JWT-based auth system",
"acceptance_criteria": [...],
"scope": {...},
"brainstorming_refs": [...]
}
```
## Output Routing
**Execution Log Destination**:
- **IF** active workflow session exists:
- Execution log: `.workflow/active/WFS-[id]/.chat/codex-execute-[timestamp].md`
- Task summaries: `.workflow/active/WFS-[id]/.summaries/[TASK-ID]-summary.md` (if task ID)
- Task updates: `.workflow/active/WFS-[id]/.task/[TASK-ID].json` status updates
- TodoWrite tracking: Embedded in execution log
- **ELSE** (no active session):
- **Recommended**: Create workflow session first (`/workflow:session:start`)
- **Alternative**: Save to `.workflow/.scratchpad/codex-execute-[description]-[timestamp].md`
**Output Files** (during execution):
```
.workflow/active/WFS-[session-id]/
├── .chat/
│ └── codex-execute-20250105-143022.md # Full execution log with task flow
├── .summaries/
│ ├── IMPL-001.1-summary.md # Subtask summaries
│ ├── IMPL-001.2-summary.md
│ └── IMPL-001-summary.md # Final task summary
└── .task/
├── IMPL-001.json # Updated task status
└── [subtask JSONs if decomposed]
```
**Examples**:
- During session `WFS-auth-system`, executing multi-stage auth implementation:
- Log: `.workflow/active/WFS-auth-system/.chat/codex-execute-20250105-143022.md`
- Summaries: `.workflow/active/WFS-auth-system/.summaries/IMPL-001.{1,2,3}-summary.md`
- Task status: `.workflow/active/WFS-auth-system/.task/IMPL-001.json` (status: completed)
- No session, ad-hoc multi-stage task:
- Log: `.workflow/.scratchpad/codex-execute-auth-refactor-20250105-143045.md`
**Save Results**:
- Execution log with task flow diagram and TodoWrite tracking
- Individual summaries for each completed subtask
- Final consolidated summary when all subtasks complete
- Modified code files throughout project
## Notes
**vs. `/cli:execute`**:
- `/cli:execute`: Single-shot execution with Gemini/Qwen/Codex
- `/cli:codex-execute`: Multi-stage Codex execution with automatic task decomposition and resume mechanism
**Input Flexibility**: Accepts both freeform descriptions and task IDs (auto-detects and loads JSON)
**Context Window**: `codex exec "..." resume --last` maintains conversation history, ensuring consistency across subtasks without redundant context injection.
**Output Details**:
- Session management: see intelligent-tools-strategy.md
- **⚠️ Code Modification**: This command performs multi-stage code modifications - execution log tracks all changes

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@@ -1,320 +0,0 @@
---
name: discuss-plan
description: Multi-round collaborative planning using Gemini, Codex, and Claude synthesis with iterative discussion cycles (read-only, no code changes)
argument-hint: "[--topic '...'] [--task-id '...'] [--rounds N]"
allowed-tools: SlashCommand(*), Bash(*), TodoWrite(*), Read(*), Glob(*)
---
# CLI Discuss-Plan Command (/cli:discuss-plan)
## Purpose
Orchestrates a multi-model collaborative discussion for in-depth planning and problem analysis. This command facilitates an iterative dialogue between Gemini, Codex, and Claude (the orchestrating AI) to explore a topic from multiple perspectives, refine ideas, and build a robust plan.
**This command is for discussion and planning ONLY. It does NOT modify any code.**
## Core Workflow: The Discussion Loop
The command operates in iterative rounds, allowing the plan to evolve with each cycle. The user can choose to continue for more rounds or conclude when consensus is reached.
```
Topic Input → [Round 1: Gemini → Codex → Claude] → [User Review] →
[Round 2: Gemini → Codex → Claude] → ... → Final Plan
```
### Model Roles & Priority
**Priority Order**: Gemini > Codex > Claude
1. **Gemini (The Analyst)** - Priority 1
- Kicks off each round with deep analysis
- Provides foundational ideas and draft plans
- Analyzes current context or previous synthesis
2. **Codex (The Architect/Critic)** - Priority 2
- Reviews Gemini's output critically
- Uses deep reasoning for technical trade-offs
- Proposes alternative strategies
- **Participates purely in conversational/reasoning capacity**
- Uses resume mechanism to maintain discussion context
3. **Claude (The Synthesizer/Moderator)** - Priority 3
- Synthesizes discussion from Gemini and Codex
- Highlights agreements and contentions
- Structures refined plan
- Poses key questions for next round
## Parameters
- `<input>` (Required): Topic description or task ID (e.g., "Design a new caching layer" or `PLAN-002`)
- `--rounds <N>` (Optional): Maximum number of discussion rounds (default: prompts after each round)
- `--task-id <id>` (Optional): Associates discussion with workflow task ID
- `--topic <description>` (Optional): High-level topic for discussion
## Execution Flow
### Phase 1: Initial Setup
1. **Input Processing**: Parse topic or task ID
2. **Context Gathering**: Identify relevant files based on topic
### Phase 2: Discussion Round
Each round consists of three sequential steps, tracked via `TodoWrite`.
**Step 1: Gemini's Analysis (Priority 1)**
Gemini analyzes the topic and proposes preliminary plan.
```bash
# Round 1: CONTEXT_INPUT is the initial topic
# Subsequent rounds: CONTEXT_INPUT is the synthesis from previous round
gemini -p "
PURPOSE: Analyze and propose a plan for '[topic]'
TASK: Provide initial analysis, identify key modules, and draft implementation plan
MODE: analysis
CONTEXT: @CLAUDE.md [auto-detected files]
INPUT: [CONTEXT_INPUT]
EXPECTED: Structured analysis and draft plan for discussion
RULES: Focus on technical depth and practical considerations
"
```
**Step 2: Codex's Critique (Priority 2)**
Codex reviews Gemini's output using conversational reasoning. Uses `resume --last` to maintain context across rounds.
```bash
# First round (new session)
codex --full-auto exec "
PURPOSE: Critically review technical plan
TASK: Review the provided plan, identify weaknesses, suggest alternatives, reason about trade-offs
MODE: analysis
CONTEXT: @CLAUDE.md [relevant files]
INPUT_PLAN: [Output from Gemini's analysis]
EXPECTED: Critical review with alternative ideas and risk analysis
RULES: Focus on architectural soundness and implementation feasibility
" --skip-git-repo-check
# Subsequent rounds (resume discussion)
codex --full-auto exec "
PURPOSE: Re-evaluate plan based on latest synthesis
TASK: Review updated plan and discussion points, provide further critique or refined ideas
MODE: analysis
CONTEXT: Previous discussion context (maintained via resume)
INPUT_PLAN: [Output from Gemini's analysis for current round]
EXPECTED: Updated critique building on previous discussion
RULES: Build on previous insights, avoid repeating points
" resume --last --skip-git-repo-check
```
**Step 3: Claude's Synthesis (Priority 3)**
Claude (orchestrating AI) synthesizes both outputs:
- Summarizes Gemini's proposal and Codex's critique
- Highlights agreements and disagreements
- Structures consolidated plan
- Presents open questions for next round
- This synthesis becomes input for next round
### Phase 3: User Review and Iteration
1. **Present Synthesis**: Show synthesized plan and key discussion points
2. **Continue or Conclude**: Use AskUserQuestion to prompt user:
```typescript
AskUserQuestion({
questions: [{
question: "Round of discussion complete. What is the next step?",
header: "Next Round",
options: [
{ label: "Start another round", description: "Continue the discussion to refine the plan further." },
{ label: "Conclude and finalize", description: "End the discussion and save the final plan." }
],
multiSelect: false
}]
})
```
3. **Loop or Finalize**:
- Continue → New round with Gemini analyzing latest synthesis
- Conclude → Save final synthesized document
## TodoWrite Tracking
Progress tracked for each round and model.
```javascript
// Example for 2-round discussion
TodoWrite({
todos: [
// Round 1
{ content: "[Round 1] Gemini: Analyzing topic", status: "completed", activeForm: "Analyzing with Gemini" },
{ content: "[Round 1] Codex: Critiquing plan", status: "completed", activeForm: "Critiquing with Codex" },
{ content: "[Round 1] Claude: Synthesizing discussion", status: "completed", activeForm: "Synthesizing discussion" },
{ content: "[User Action] Review Round 1 and decide next step", status: "in_progress", activeForm: "Awaiting user decision" },
// Round 2
{ content: "[Round 2] Gemini: Analyzing refined plan", status: "pending", activeForm: "Analyzing refined plan" },
{ content: "[Round 2] Codex: Re-evaluating plan [resume]", status: "pending", activeForm: "Re-evaluating with Codex" },
{ content: "[Round 2] Claude: Finalizing plan", status: "pending", activeForm: "Finalizing plan" },
{ content: "Discussion complete - Final plan generated", status: "pending", activeForm: "Generating final document" }
]
})
```
## Output Routing
- **Primary Log**: Entire multi-round discussion logged to single file:
- `.workflow/active/WFS-[id]/.chat/discuss-plan-[topic]-[timestamp].md`
- **Final Plan**: Clean final version saved upon conclusion:
- `.workflow/active/WFS-[id]/.summaries/plan-[topic].md`
- **Scratchpad**: If no session active:
- `.workflow/.scratchpad/discuss-plan-[topic]-[timestamp].md`
## Discussion Structure
Each round's output is structured as:
```markdown
## Round N: [Topic]
### Gemini's Analysis (Priority 1)
[Gemini's full analysis and proposal]
### Codex's Critique (Priority 2)
[Codex's critical review and alternatives]
### Claude's Synthesis (Priority 3)
**Points of Agreement:**
- [Agreement 1]
- [Agreement 2]
**Points of Contention:**
- [Issue 1]: Gemini suggests X, Codex suggests Y
- [Issue 2]: Trade-off between A and B
**Consolidated Plan:**
[Structured plan incorporating both perspectives]
**Open Questions for Next Round:**
1. [Question 1]
2. [Question 2]
```
## Examples
### Example 1: Multi-Round Architecture Discussion
**Command**: `/cli:discuss-plan --topic "Design a real-time notification system"`
**Round 1**:
1. **Gemini**: Proposes WebSocket-based architecture with RabbitMQ message queue
2. **Codex**: Critiques as overly complex for MVP. Suggests Server-Sent Events (SSE) for simplicity (one-way notifications). Questions RabbitMQ necessity, proposes simpler Redis Pub/Sub
3. **Claude**: Synthesizes views:
- **Plan A (Gemini)**: WebSockets + RabbitMQ (highly scalable, complex)
- **Plan B (Codex)**: SSE + Redis (simpler, less overhead)
- **Open Question**: Is bi-directional communication critical, or is simplicity priority?
4. **User Action**: Opts for another round to explore trade-offs
**Round 2**:
1. **Gemini**: Analyzes synthesized document. Notes that if features like "user is typing" indicators are roadmapped, WebSockets better long-term. Drafts plan starting with SSE/Redis but designing for easy migration
2. **Codex**: Reviews migration plan. Reasons that migration itself could be complex. If feature set likely to expand, starting with WebSockets using managed service might be best cost/benefit
3. **Claude**: Synthesizes new discussion:
- **Consensus**: Simple SSE/Redis too short-sighted
- **Refined Options**:
1. Phased approach (SSE → WebSocket) with clear migration plan
2. Direct WebSocket with managed service (Pusher, Ably) to reduce ops overhead
- **Recommendation**: Option 2 most robust and future-proof
4. **User Action**: Agrees with recommendation, concludes discussion
**Final Output**: Planning document saved with:
- Chosen architecture (Managed WebSocket service)
- Multi-round reasoning
- High-level implementation steps
### Example 2: Feature Design Discussion
**Command**: `/cli:discuss-plan --topic "Design user permission system" --rounds 2`
**Round 1**:
1. **Gemini**: Proposes RBAC (Role-Based Access Control) with predefined roles
2. **Codex**: Suggests ABAC (Attribute-Based Access Control) for more flexibility
3. **Claude**: Synthesizes trade-offs between simplicity (RBAC) vs flexibility (ABAC)
**Round 2**:
1. **Gemini**: Analyzes hybrid approach - RBAC for core permissions, attributes for fine-grained control
2. **Codex**: Reviews hybrid model, identifies implementation challenges
3. **Claude**: Final plan with phased rollout strategy
**Automatic Conclusion**: Command concludes after 2 rounds as specified
### Example 3: Problem-Solving Discussion
**Command**: `/cli:discuss-plan --topic "Debug memory leak in data pipeline" --task-id ISSUE-042`
**Round 1**:
1. **Gemini**: Identifies potential leak sources (unclosed handles, growing cache, event listeners)
2. **Codex**: Adds profiling tool recommendations, suggests memory monitoring
3. **Claude**: Structures debugging plan with phased approach
**User Decision**: Single round sufficient, concludes with debugging strategy
## Consensus Mechanisms
**When to Continue:**
- Significant disagreement between models
- Open questions requiring deeper analysis
- Trade-offs need more exploration
- User wants additional perspectives
**When to Conclude:**
- Models converge on solution
- All key questions addressed
- User satisfied with plan depth
- Maximum rounds reached (if specified)
## Comparison with Other Commands
| Command | Models | Rounds | Discussion | Implementation | Use Case |
|---------|--------|--------|------------|----------------|----------|
| `/cli:mode:plan` | Gemini | 1 | NO | NO | Single-model planning |
| `/cli:analyze` | Gemini/Qwen | 1 | NO | NO | Code analysis |
| `/cli:execute` | Any | 1 | NO | YES | Direct implementation |
| `/cli:codex-execute` | Codex | 1 | NO | YES | Multi-stage implementation |
| `/cli:discuss-plan` | **Gemini+Codex+Claude** | **Multiple** | **YES** | **NO** | **Multi-perspective planning** |
## Best Practices
1. **Use for Complex Decisions**: Ideal for architectural decisions, design trade-offs, problem-solving
2. **Start with Broad Topic**: Let first round establish scope, subsequent rounds refine
3. **Review Each Synthesis**: Claude's synthesis is key decision point - review carefully
4. **Know When to Stop**: Don't over-iterate - 2-3 rounds usually sufficient
5. **Task Association**: Use `--task-id` for traceability in workflow
6. **Save Intermediate Results**: Each round's synthesis saved automatically
7. **Let Models Disagree**: Divergent views often reveal important trade-offs
8. **Focus Questions**: Use Claude's open questions to guide next round
## Breaking Discussion Loops
**Detecting Loops:**
- Models repeating same arguments
- No new insights emerging
- Trade-offs well understood
**Breaking Strategies:**
1. **User Decision**: Make executive decision when enough info gathered
2. **Timeboxing**: Set max rounds upfront with `--rounds`
3. **Criteria-Based**: Define decision criteria before starting
4. **Hybrid Approach**: Accept multiple valid solutions in final plan
## Notes
- **Pure Discussion**: This command NEVER modifies code - only produces planning documents
- **Codex Role**: Codex participates as reasoning/critique tool, not executor
- **Resume Context**: Codex maintains discussion context via `resume --last`
- **Priority System**: Ensures Gemini leads analysis, Codex provides critique, Claude synthesizes
- **Output Quality**: Multi-perspective discussion produces more robust plans than single-model analysis
- Command patterns and session management: see intelligent-tools-strategy.md (loaded in memory)
- For implementation after discussion, use `/cli:execute` or `/cli:codex-execute` separately

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@@ -1,202 +0,0 @@
---
name: execute
description: Autonomous code implementation with YOLO auto-approval using Gemini/Qwen/Codex, supports task ID or description input with automatic file pattern detection
argument-hint: "[--tool codex|gemini|qwen] [--enhance] description or task-id"
allowed-tools: SlashCommand(*), Bash(*), Task(*)
---
# CLI Execute Command (/cli:execute)
## Purpose
Execute implementation tasks with **YOLO permissions** (auto-approves all confirmations). **MODIFIES CODE**.
**Intent**: Autonomous code implementation, modification, and generation
**Supported Tools**: codex, gemini (default), qwen
**Key Feature**: Automatic context inference and file pattern detection
## Core Behavior
1. **Code Modification**: This command MODIFIES, CREATES, and DELETES code files
2. **Auto-Approval**: YOLO mode bypasses confirmation prompts for all operations
3. **Implementation Focus**: Executes actual code changes, not just recommendations
4. **Requires Explicit Intent**: Use only when implementation is intended
## Core Concepts
### YOLO Permissions
Auto-approves: file pattern inference, execution, **file modifications**, summary generation
**WARNING**: This command will make actual code changes without manual confirmation
### Execution Modes
**1. Description Mode** (supports `--enhance`):
- Input: Natural language description
- Process: [Optional: Enhance] → Keyword analysis → Pattern inference → Execute
**2. Task ID Mode** (no `--enhance`):
- Input: Workflow task identifier (e.g., `IMPL-001`)
- Process: Task JSON parsing → Scope analysis → Execute
**3. Agent Mode** (default):
- Input: Description or task-id
- Process: 5-Phase Workflow → Context Discovery → Optimal Tool Selection → Execute
### Context Inference
Auto-selects files based on keywords and technology (each @ references one pattern):
- "auth" → `@**/*auth* @**/*user*`
- "React" → `@src/**/*.jsx @src/**/*.tsx`
- "api" → `@**/api/**/* @**/routes/**/*`
- Always includes: `@CLAUDE.md @**/*CLAUDE.md`
For precise file targeting, use `rg` or MCP tools to discover files first.
### Codex Session Continuity
**Resume Pattern** for related tasks:
```bash
# First task - establish session
codex -C [dir] --full-auto exec "[task]" --skip-git-repo-check -s danger-full-access
# Related task - continue session
codex --full-auto exec "[related-task]" resume --last --skip-git-repo-check -s danger-full-access
```
Use `resume --last` when current task extends/relates to previous execution. See intelligent-tools-strategy.md for auto-resume rules.
## Parameters
- `--tool <codex|gemini|qwen>` - Select CLI tool (default: auto-select by agent based on complexity)
- `--enhance` - Enhance input with `/enhance-prompt` first (Description Mode only)
- `<description|task-id>` - Natural language description or task identifier
- `--debug` - Verbose logging
- `--save-session` - Save execution to workflow session
## Workflow Integration
**Session Management**: Auto-detects active session from `.workflow/active/` directory
- Active session: Save to `.workflow/active/WFS-[id]/.chat/execute-[timestamp].md`
- No session: Create new session or save to scratchpad
**Task Integration**: Load from `.task/[TASK-ID].json`, update status, generate summary
## Execution Flow
Uses **cli-execution-agent** (default) for automated implementation:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Autonomous code implementation with YOLO auto-approval",
prompt=`
Task: ${description_or_task_id}
Mode: execute
Tool: ${tool_flag || 'auto-select'}
Enhance: ${enhance_flag}
Task-ID: ${task_id}
Execute autonomous code implementation with full modification permissions:
1. Task Analysis:
${task_id ? '- Load task spec from .task/' + task_id + '.json' : ''}
- Parse requirements and implementation scope
- Classify complexity (simple/medium/complex)
- Extract keywords for context discovery
2. Context Discovery:
- Discover implementation files using MCP/ripgrep
- Identify existing patterns and conventions (CLAUDE.md)
- Map dependencies and integration points
- Gather related tests and documentation
- Auto-detect file patterns from keywords
3. Tool Selection & Execution:
- Complexity assessment:
* Simple/Medium → Gemini/Qwen (MODE=write, --approval-mode yolo)
* Complex → Codex (MODE=auto, --skip-git-repo-check -s danger-full-access)
- Tool preference: ${tool_flag || 'auto-select based on complexity'}
- Apply appropriate implementation template
- Execute with YOLO auto-approval (bypasses all confirmations)
4. Implementation:
- Modify/create/delete code files per requirements
- Follow existing code patterns and conventions
- Include comprehensive context in CLI command
- Ensure working implementation with proper error handling
5. Output & Documentation:
- Save execution log: .workflow/active/WFS-[id]/.chat/execute-[timestamp].md
${task_id ? '- Generate task summary: .workflow/active/WFS-[id]/.summaries/' + task_id + '-summary.md' : ''}
${task_id ? '- Update task status in .task/' + task_id + '.json' : ''}
- Document all code changes made
⚠️ YOLO Mode: All file operations auto-approved without confirmation
`
)
```
**Output**: `.workflow/active/WFS-[id]/.chat/execute-[timestamp].md` + `.workflow/active/WFS-[id]/.summaries/[TASK-ID]-summary.md` (or `.scratchpad/` if no session)
## Examples
**Basic Implementation** (modifies code):
```bash
/cli:execute "implement JWT authentication with middleware"
# Agent Phase 1: Classifies intent=execute, complexity=medium, keywords=['jwt', 'auth', 'middleware']
# Agent Phase 2: Discovers auth patterns, existing middleware structure
# Agent Phase 3: Selects Gemini (medium complexity)
# Agent Phase 4: Executes with auto-approval
# Result: NEW/MODIFIED code files with JWT implementation
```
**Complex Implementation** (modifies code):
```bash
/cli:execute "implement OAuth2 authentication with token refresh"
# Agent Phase 1: Classifies intent=execute, complexity=complex, keywords=['oauth2', 'auth', 'token', 'refresh']
# Agent Phase 2: MCP discovers auth patterns, existing middleware, JWT dependencies
# Agent Phase 3: Enhances prompt with discovered patterns and best practices
# Agent Phase 4: Selects Codex (complex task), executes with comprehensive context
# Agent Phase 5: Saves execution log + generates implementation summary
# Result: Complete OAuth2 implementation + detailed execution log
```
**Enhanced Implementation** (modifies code):
```bash
/cli:execute --enhance "implement JWT authentication"
# Step 1: Enhance to expand requirements
# Step 2: Execute implementation with auto-approval
# Result: Complete auth system with MODIFIED code files
```
**Task Execution** (modifies code):
```bash
/cli:execute IMPL-001
# Reads: .task/IMPL-001.json for requirements
# Executes: Implementation based on task spec
# Result: Code changes per task definition
```
**Codex Implementation** (modifies code):
```bash
/cli:execute --tool codex "optimize database queries"
# Executes: Codex with full file access
# Result: MODIFIED query code, new indexes, updated tests
```
**Qwen Code Generation** (modifies code):
```bash
/cli:execute --tool qwen --enhance "refactor auth module"
# Step 1: Enhanced refactoring plan
# Step 2: Execute with MODE=write
# Result: REFACTORED auth code with structural changes
```
## Comparison with Analysis Commands
| Command | Intent | Code Changes | Auto-Approve |
|---------|--------|--------------|--------------|
| `/cli:analyze` | Understand code | NO | N/A |
| `/cli:chat` | Ask questions | NO | N/A |
| `/cli:execute` | **Implement** | **YES** | **YES** |

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@@ -1,96 +0,0 @@
---
name: bug-diagnosis
description: Read-only bug root cause analysis using Gemini/Qwen/Codex with systematic diagnosis template for fix suggestions
argument-hint: "[--tool codex|gemini|qwen] [--enhance] [--cd path] bug description"
allowed-tools: SlashCommand(*), Bash(*), Task(*)
---
# CLI Mode: Bug Diagnosis (/cli:mode:bug-diagnosis)
## Purpose
Systematic bug diagnosis with root cause analysis template (`~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt`).
**Tool Selection**:
- **gemini** (default) - Best for bug diagnosis
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for complex bug analysis
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Enhance bug description with `/enhance-prompt`
- `--cd "path"` - Target directory for focused diagnosis
- `<bug-description>` (Required) - Bug description or error details
## Tool Usage
**Gemini** (Primary):
```bash
# Uses gemini by default, or specify explicitly
--tool gemini
```
**Qwen** (Fallback):
```bash
--tool qwen
```
**Codex** (Alternative):
```bash
--tool codex
```
## Execution Flow
Uses **cli-execution-agent** (default) for automated bug diagnosis:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Bug root cause diagnosis with fix suggestions",
prompt=`
Task: ${bug_description}
Mode: bug-diagnosis
Tool: ${tool_flag || 'gemini'}
Directory: ${cd_path || '.'}
Enhance: ${enhance_flag}
Template: ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt
Execute systematic bug diagnosis and root cause analysis:
1. Context Discovery:
- Locate error traces, stack traces, and log messages
- Find related code sections and affected modules
- Identify data flow paths leading to the bug
- Discover test cases related to bug area
- Use MCP/ripgrep for comprehensive context gathering
2. Root Cause Analysis:
- Apply diagnostic template methodology
- Trace execution to identify failure point
- Analyze state, data, and logic causing issue
- Document potential root causes with evidence
- Assess bug severity and impact scope
3. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for complex bugs)
- Directory: cd ${cd_path || '.'} &&
- Context: @**/* + error traces + affected code
- Mode: analysis (read-only)
- Template: analysis/01-diagnose-bug-root-cause.txt
4. Output Generation:
- Root cause diagnosis with evidence
- Fix suggestions and recommendations
- Prevention strategies
- Save to .workflow/active/WFS-[id]/.chat/bug-diagnosis-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Diagnoses bugs, does NOT modify code
- **Template**: `~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt`
- **Output**: `.workflow/active/WFS-[id]/.chat/bug-diagnosis-[timestamp].md` (or `.scratchpad/` if no session)

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@@ -1,98 +0,0 @@
---
name: code-analysis
description: Read-only execution path tracing using Gemini/Qwen/Codex with specialized analysis template for call flow and optimization
argument-hint: "[--tool codex|gemini|qwen] [--enhance] [--cd path] analysis target"
allowed-tools: SlashCommand(*), Bash(*), Task(*)
---
# CLI Mode: Code Analysis (/cli:mode:code-analysis)
## Purpose
Systematic code analysis with execution path tracing template (`~/.claude/workflows/cli-templates/prompts/analysis/01-trace-code-execution.txt`).
**Tool Selection**:
- **gemini** (default) - Best for code analysis and tracing
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for complex analysis tasks
**Key Feature**: `--cd` flag for directory-scoped analysis
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Enhance analysis target with `/enhance-prompt` first
- `--cd "path"` - Target directory for focused analysis
- `<analysis-target>` (Required) - Code analysis target or question
## Tool Usage
**Gemini** (Primary):
```bash
/cli:mode:code-analysis --tool gemini "trace auth flow"
# OR (default)
/cli:mode:code-analysis "trace auth flow"
```
**Qwen** (Fallback):
```bash
/cli:mode:code-analysis --tool qwen "trace auth flow"
```
**Codex** (Alternative):
```bash
/cli:mode:code-analysis --tool codex "trace auth flow"
```
## Execution Flow
Uses **cli-execution-agent** (default) for automated code analysis:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Execution path tracing and call flow analysis",
prompt=`
Task: ${analysis_target}
Mode: code-analysis
Tool: ${tool_flag || 'gemini'}
Directory: ${cd_path || '.'}
Enhance: ${enhance_flag}
Template: ~/.claude/workflows/cli-templates/prompts/analysis/01-trace-code-execution.txt
Execute systematic code analysis with execution path tracing:
1. Context Discovery:
- Identify entry points and function signatures
- Trace call chains and execution flows
- Discover related files (implementations, dependencies, tests)
- Map data flow and state transformations
- Use MCP/ripgrep for comprehensive file discovery
2. Analysis Execution:
- Apply execution tracing template
- Generate call flow diagrams (textual)
- Document execution paths and branching logic
- Identify optimization opportunities
3. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for complex analysis)
- Directory: cd ${cd_path || '.'} &&
- Context: @**/* + discovered execution context
- Mode: analysis (read-only)
- Template: analysis/01-trace-code-execution.txt
4. Output Generation:
- Execution trace documentation
- Call flow analysis with diagrams
- Performance and optimization insights
- Save to .workflow/active/WFS-[id]/.chat/code-analysis-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Analyzes code, does NOT modify files
- **Template**: `~/.claude/workflows/cli-templates/prompts/analysis/01-trace-code-execution.txt`
- **Output**: `.workflow/active/WFS-[id]/.chat/code-analysis-[timestamp].md` (or `.scratchpad/` if no session)

View File

@@ -1,126 +0,0 @@
---
name: document-analysis
description: Read-only technical document/paper analysis using Gemini/Qwen/Codex with systematic comprehension template for insights extraction
argument-hint: "[--tool codex|gemini|qwen] [--enhance] [--cd path] document path or topic"
allowed-tools: SlashCommand(*), Bash(*), Task(*), Read(*)
---
# CLI Mode: Document Analysis (/cli:mode:document-analysis)
## Purpose
Systematic analysis of technical documents, research papers, API documentation, and technical specifications.
**Tool Selection**:
- **gemini** (default) - Best for document comprehension and structure analysis
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for complex technical documents
**Key Feature**: `--cd` flag for directory-scoped document discovery
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Enhance analysis target with `/enhance-prompt`
- `--cd "path"` - Target directory for document search
- `<document-path-or-topic>` (Required) - File path or topic description
## Tool Usage
**Gemini** (Primary):
```bash
/cli:mode:document-analysis "README.md"
/cli:mode:document-analysis --tool gemini "analyze API documentation"
```
**Qwen** (Fallback):
```bash
/cli:mode:document-analysis --tool qwen "docs/architecture.md"
```
**Codex** (Alternative):
```bash
/cli:mode:document-analysis --tool codex "research paper in docs/"
```
## Execution Flow
Uses **cli-execution-agent** for automated document analysis:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Systematic document comprehension and insights extraction",
prompt=`
Task: ${document_path_or_topic}
Mode: document-analysis
Tool: ${tool_flag || 'gemini'}
Directory: ${cd_path || '.'}
Enhance: ${enhance_flag}
Template: ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-technical-document.txt
Execute systematic document analysis:
1. Document Discovery:
- Locate target document(s) via path or topic keywords
- Identify document type (README, API docs, research paper, spec, tutorial)
- Detect document format (Markdown, PDF, plain text, reStructuredText)
- Discover related documents (references, appendices, examples)
- Use MCP/ripgrep for comprehensive file discovery
2. Pre-Analysis Planning (Required):
- Determine document structure (sections, hierarchy, flow)
- Identify key components (abstract, methodology, implementation details)
- Map dependencies and cross-references
- Assess document scope and complexity
- Plan analysis approach based on document type
3. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for complex docs)
- Directory: cd ${cd_path || '.'} &&
- Context: @{document_paths} + @CLAUDE.md + related files
- Mode: analysis (read-only)
- Template: analysis/02-analyze-technical-document.txt
4. Analysis Execution:
- Apply 6-field template structure (PURPOSE, TASK, MODE, CONTEXT, EXPECTED, RULES)
- Execute multi-phase analysis protocol with pre-planning
- Perform self-critique before final output
- Generate structured report with evidence-based insights
5. Output Generation:
- Comprehensive document analysis report
- Structured insights with section references
- Critical assessment with evidence
- Actionable recommendations
- Save to .workflow/active/WFS-[id]/.chat/doc-analysis-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Analyzes documents, does NOT modify files
- **Evidence-based**: All claims must reference specific sections/pages
- **Pre-planning**: Requires analysis approach planning before execution
- **Precise language**: Direct, accurate wording - no persuasive embellishment
- **Output**: `.workflow/active/WFS-[id]/.chat/doc-analysis-[timestamp].md` (or `.scratchpad/` if no session)
## Document Types Supported
| Type | Focus Areas | Key Outputs |
|------|-------------|-------------|
| README | Purpose, setup, usage | Integration steps, quick-start guide |
| API Documentation | Endpoints, parameters, responses | API usage patterns, integration points |
| Research Paper | Methodology, findings, validity | Applicable techniques, implementation feasibility |
| Specification | Requirements, standards, constraints | Compliance checklist, implementation requirements |
| Tutorial | Learning path, examples, exercises | Key concepts, practical applications |
| Architecture Docs | System design, components, patterns | Design decisions, integration points, trade-offs |
## Best Practices
1. **Scope Definition**: Clearly define what aspects to analyze before starting
2. **Layered Reading**: Structure/Overview → Details → Critical Analysis → Synthesis
3. **Evidence Trail**: Track section references for all extracted information
4. **Gap Identification**: Note missing information or unclear sections explicitly
5. **Actionable Output**: Focus on insights that inform decisions or actions

View File

@@ -1,93 +0,0 @@
---
name: plan
description: Read-only architecture planning using Gemini/Qwen/Codex with strategic planning template for modification plans and impact analysis
argument-hint: "[--tool codex|gemini|qwen] [--enhance] [--cd path] topic"
allowed-tools: SlashCommand(*), Bash(*), Task(*)
---
# CLI Mode: Plan (/cli:mode:plan)
## Purpose
Strategic software architecture planning template (`~/.claude/workflows/cli-templates/prompts/planning/01-plan-architecture-design.txt`).
**Tool Selection**:
- **gemini** (default) - Best for architecture planning
- **qwen** - Fallback when Gemini unavailable
- **codex** - Alternative for implementation planning
## Parameters
- `--tool <gemini|qwen|codex>` - Tool selection (default: gemini)
- `--enhance` - Enhance task with `/enhance-prompt`
- `--cd "path"` - Target directory for focused planning
- `<planning-task>` (Required) - Architecture planning task or modification requirements
## Tool Usage
**Gemini** (Primary):
```bash
--tool gemini # or omit (default)
```
**Qwen** (Fallback):
```bash
--tool qwen
```
**Codex** (Alternative):
```bash
--tool codex
```
## Execution Flow
Uses **cli-execution-agent** (default) for automated planning:
```javascript
Task(
subagent_type="cli-execution-agent",
description="Architecture planning with impact analysis",
prompt=`
Task: ${planning_task}
Mode: plan
Tool: ${tool_flag || 'gemini'}
Directory: ${cd_path || '.'}
Enhance: ${enhance_flag}
Template: ~/.claude/workflows/cli-templates/prompts/planning/01-plan-architecture-design.txt
Execute strategic architecture planning:
1. Context Discovery:
- Analyze current architecture structure
- Identify affected components and modules
- Map dependencies and integration points
- Assess modification impacts (scope, complexity, risks)
2. Planning Analysis:
- Apply strategic planning template
- Generate modification plan with phases
- Document architectural decisions and rationale
- Identify potential conflicts and mitigation strategies
3. CLI Command Construction:
- Tool: ${tool_flag || 'gemini'} (qwen fallback, codex for implementation guidance)
- Directory: cd ${cd_path || '.'} &&
- Context: @**/* (full architecture context)
- Mode: analysis (read-only, no code generation)
- Template: planning/01-plan-architecture-design.txt
4. Output Generation:
- Strategic modification plan
- Impact analysis and risk assessment
- Implementation roadmap
- Save to .workflow/active/WFS-[id]/.chat/plan-[timestamp].md (or .scratchpad/)
`
)
```
## Core Rules
- **Read-only**: Creates modification plans, does NOT generate code
- **Template**: `~/.claude/workflows/cli-templates/prompts/planning/01-plan-architecture-design.txt`
- **Output**: `.workflow/active/WFS-[id]/.chat/plan-[timestamp].md` (or `.scratchpad/` if no session)

View File

@@ -0,0 +1,462 @@
---
name: execute
description: Execute queue with codex using endpoint-driven task fetching (single task per codex instance)
argument-hint: "[--parallel <n>] [--executor codex|gemini]"
allowed-tools: TodoWrite(*), Bash(*), Read(*), AskUserQuestion(*)
---
# Issue Execute Command (/issue:execute)
## Overview
Execution orchestrator that coordinates codex instances. Each task is executed by an independent codex instance that fetches its task via CLI endpoint. **Codex does NOT read task files** - it calls `ccw issue next` to get task data dynamically.
**Core design:**
- Single task per codex instance (not loop mode)
- Endpoint-driven: `ccw issue next` → execute → `ccw issue complete`
- No file reading in codex
- Orchestrator manages parallelism
## Storage Structure (Queue History)
```
.workflow/issues/
├── issues.jsonl # All issues (one per line)
├── queues/ # Queue history directory
│ ├── index.json # Queue index (active + history)
│ └── {queue-id}.json # Individual queue files
└── solutions/
├── {issue-id}.jsonl # Solutions for issue
└── ...
```
## Usage
```bash
/issue:execute [FLAGS]
# Examples
/issue:execute # Execute all ready tasks
/issue:execute --parallel 3 # Execute up to 3 tasks in parallel
/issue:execute --executor codex # Force codex executor
# Flags
--parallel <n> Max parallel codex instances (default: 1)
--executor <type> Force executor: codex|gemini|agent
--dry-run Show what would execute without running
```
## Execution Process
```
Phase 1: Queue Loading
├─ Load queue.json
├─ Count pending/ready tasks
└─ Initialize TodoWrite tracking
Phase 2: Ready Task Detection
├─ Find tasks with satisfied dependencies
├─ Group by execution_group (parallel batches)
└─ Determine execution order
Phase 3: Codex Coordination
├─ For each ready task:
│ ├─ Launch independent codex instance
│ ├─ Codex calls: ccw issue next
│ ├─ Codex receives task data (NOT file)
│ ├─ Codex executes task
│ ├─ Codex calls: ccw issue complete <queue-id>
│ └─ Update TodoWrite
└─ Parallel execution based on --parallel flag
Phase 4: Completion
├─ Generate execution summary
├─ Update issue statuses in issues.jsonl
└─ Display results
```
## Implementation
### Phase 1: Queue Loading
```javascript
// Load active queue via CLI endpoint
const queueJson = Bash(`ccw issue status --json 2>/dev/null || echo '{}'`);
const queue = JSON.parse(queueJson);
if (!queue.id || queue.tasks?.length === 0) {
console.log('No active queue found. Run /issue:queue first.');
return;
}
// Count by status
const pending = queue.tasks.filter(q => q.status === 'pending');
const executing = queue.tasks.filter(q => q.status === 'executing');
const completed = queue.tasks.filter(q => q.status === 'completed');
console.log(`
## Execution Queue Status
- Pending: ${pending.length}
- Executing: ${executing.length}
- Completed: ${completed.length}
- Total: ${queue.tasks.length}
`);
if (pending.length === 0 && executing.length === 0) {
console.log('All tasks completed!');
return;
}
```
### Phase 2: Ready Task Detection
```javascript
// Find ready tasks (dependencies satisfied)
function getReadyTasks() {
const completedIds = new Set(
queue.tasks.filter(q => q.status === 'completed').map(q => q.item_id)
);
return queue.tasks.filter(item => {
if (item.status !== 'pending') return false;
return item.depends_on.every(depId => completedIds.has(depId));
});
}
const readyTasks = getReadyTasks();
if (readyTasks.length === 0) {
if (executing.length > 0) {
console.log('Tasks are currently executing. Wait for completion.');
} else {
console.log('No ready tasks. Check for blocked dependencies.');
}
return;
}
console.log(`Found ${readyTasks.length} ready tasks`);
// Sort by execution order
readyTasks.sort((a, b) => a.execution_order - b.execution_order);
// Initialize TodoWrite
TodoWrite({
todos: readyTasks.slice(0, parallelLimit).map(t => ({
content: `[${t.item_id}] ${t.issue_id}:${t.task_id}`,
status: 'pending',
activeForm: `Executing ${t.item_id}`
}))
});
```
### Phase 3: Codex Coordination (Single Task Mode - Full Lifecycle)
```javascript
// Execute tasks - single codex instance per task with full lifecycle
async function executeTask(queueItem) {
const codexPrompt = `
## Single Task Execution - CLOSED-LOOP LIFECYCLE
You are executing ONE task from the issue queue. Each task has 5 phases that MUST ALL complete successfully.
### Step 1: Fetch Task
Run this command to get your task:
\`\`\`bash
ccw issue next
\`\`\`
This returns JSON with full lifecycle definition:
- task.implementation: Implementation steps
- task.test: Test requirements and commands
- task.regression: Regression check commands
- task.acceptance: Acceptance criteria and verification
- task.commit: Commit specification
### Step 2: Execute Full Lifecycle
**Phase 1: IMPLEMENT**
1. Follow task.implementation steps in order
2. Modify files specified in modification_points
3. Use context.relevant_files for reference
4. Use context.patterns for code style
**Phase 2: TEST**
1. Run test commands from task.test.commands
2. Ensure all unit tests pass (task.test.unit)
3. Run integration tests if specified (task.test.integration)
4. Verify coverage meets task.test.coverage_target if specified
5. If tests fail → fix code and re-run, do NOT proceed until tests pass
**Phase 3: REGRESSION**
1. Run all commands in task.regression
2. Ensure no existing tests are broken
3. If regression fails → fix and re-run
**Phase 4: ACCEPTANCE**
1. Verify each criterion in task.acceptance.criteria
2. Execute verification steps in task.acceptance.verification
3. Complete any manual_checks if specified
4. All criteria MUST pass before proceeding
**Phase 5: COMMIT**
1. Stage all modified files
2. Use task.commit.message_template as commit message
3. Commit with: git commit -m "$(cat <<'EOF'\n<message>\nEOF\n)"
4. If commit_strategy is 'per-task', commit now
5. If commit_strategy is 'atomic' or 'squash', stage but don't commit
### Step 3: Report Completion
When ALL phases complete successfully:
\`\`\`bash
ccw issue complete <item_id> --result '{
"files_modified": ["path1", "path2"],
"tests_passed": true,
"regression_passed": true,
"acceptance_passed": true,
"committed": true,
"commit_hash": "<hash>",
"summary": "What was done"
}'
\`\`\`
If any phase fails and cannot be fixed:
\`\`\`bash
ccw issue fail <item_id> --reason "Phase X failed: <details>"
\`\`\`
### Rules
- NEVER skip any lifecycle phase
- Tests MUST pass before proceeding to acceptance
- Regression MUST pass before commit
- ALL acceptance criteria MUST be verified
- Report accurate lifecycle status in result
### Start Now
Begin by running: ccw issue next
`;
// Execute codex
const executor = queueItem.assigned_executor || flags.executor || 'codex';
if (executor === 'codex') {
Bash(
`ccw cli -p "${escapePrompt(codexPrompt)}" --tool codex --mode write --id exec-${queueItem.item_id}`,
timeout=3600000 // 1 hour timeout
);
} else if (executor === 'gemini') {
Bash(
`ccw cli -p "${escapePrompt(codexPrompt)}" --tool gemini --mode write --id exec-${queueItem.item_id}`,
timeout=1800000 // 30 min timeout
);
} else {
// Agent execution
Task(
subagent_type="code-developer",
run_in_background=false,
description=`Execute ${queueItem.item_id}`,
prompt=codexPrompt
);
}
}
// Execute with parallelism
const parallelLimit = flags.parallel || 1;
for (let i = 0; i < readyTasks.length; i += parallelLimit) {
const batch = readyTasks.slice(i, i + parallelLimit);
console.log(`\n### Executing Batch ${Math.floor(i / parallelLimit) + 1}`);
console.log(batch.map(t => `- ${t.item_id}: ${t.issue_id}:${t.task_id}`).join('\n'));
if (parallelLimit === 1) {
// Sequential execution
for (const task of batch) {
updateTodo(task.item_id, 'in_progress');
await executeTask(task);
updateTodo(task.item_id, 'completed');
}
} else {
// Parallel execution - launch all at once
const executions = batch.map(task => {
updateTodo(task.item_id, 'in_progress');
return executeTask(task);
});
await Promise.all(executions);
batch.forEach(task => updateTodo(task.item_id, 'completed'));
}
// Refresh ready tasks after batch
const newReady = getReadyTasks();
if (newReady.length > 0) {
console.log(`${newReady.length} more tasks now ready`);
}
}
```
### Codex Task Fetch Response
When codex calls `ccw issue next`, it receives:
```json
{
"item_id": "T-1",
"issue_id": "GH-123",
"solution_id": "SOL-001",
"task": {
"id": "T1",
"title": "Create auth middleware",
"scope": "src/middleware/",
"action": "Create",
"description": "Create JWT validation middleware",
"modification_points": [
{ "file": "src/middleware/auth.ts", "target": "new file", "change": "Create middleware" }
],
"implementation": [
"Create auth.ts file in src/middleware/",
"Implement JWT token validation using jsonwebtoken",
"Add error handling for invalid/expired tokens",
"Export middleware function"
],
"acceptance": [
"Middleware validates JWT tokens successfully",
"Returns 401 for invalid or missing tokens",
"Passes token payload to request context"
]
},
"context": {
"relevant_files": ["src/config/auth.ts", "src/types/auth.d.ts"],
"patterns": "Follow existing middleware pattern in src/middleware/logger.ts"
},
"execution_hints": {
"executor": "codex",
"estimated_minutes": 30
}
}
```
### Phase 4: Completion Summary
```javascript
// Reload queue for final status via CLI
const finalQueueJson = Bash(`ccw issue status --json 2>/dev/null || echo '{}'`);
const finalQueue = JSON.parse(finalQueueJson);
// Use queue._metadata for summary (already calculated by CLI)
const summary = finalQueue._metadata || {
completed_count: 0,
failed_count: 0,
pending_count: 0,
total_tasks: 0
};
console.log(`
## Execution Complete
**Completed**: ${summary.completed_count}/${summary.total_tasks}
**Failed**: ${summary.failed_count}
**Pending**: ${summary.pending_count}
### Task Results
${(finalQueue.tasks || []).map(q => {
const icon = q.status === 'completed' ? '✓' :
q.status === 'failed' ? '✗' :
q.status === 'executing' ? '⟳' : '○';
return `${icon} ${q.item_id} [${q.issue_id}:${q.task_id}] - ${q.status}`;
}).join('\n')}
`);
// Issue status updates are handled by ccw issue complete/fail endpoints
// No need to manually update issues.jsonl here
if (summary.pending_count > 0) {
console.log(`
### Continue Execution
Run \`/issue:execute\` again to execute remaining tasks.
`);
}
```
## Dry Run Mode
```javascript
if (flags.dryRun) {
console.log(`
## Dry Run - Would Execute
${readyTasks.map((t, i) => `
${i + 1}. ${t.item_id}
Issue: ${t.issue_id}
Task: ${t.task_id}
Executor: ${t.assigned_executor}
Group: ${t.execution_group}
`).join('')}
No changes made. Remove --dry-run to execute.
`);
return;
}
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Queue not found | Display message, suggest /issue:queue |
| No ready tasks | Check dependencies, show blocked tasks |
| Codex timeout | Mark as failed, allow retry |
| ccw issue next empty | All tasks done or blocked |
| Task execution failure | Marked via ccw issue fail, use `ccw issue retry` to reset |
## Troubleshooting
### Interrupted Tasks
If execution was interrupted (crashed/stopped), `ccw issue next` will automatically resume:
```bash
# Automatically returns the executing task for resumption
ccw issue next
```
Tasks in `executing` status are prioritized and returned first, no manual reset needed.
### Failed Tasks
If a task failed and you want to retry:
```bash
# Reset all failed tasks to pending
ccw issue retry
# Reset failed tasks for specific issue
ccw issue retry <issue-id>
```
## Endpoint Contract
### `ccw issue next`
- Returns next ready task as JSON
- Marks task as 'executing'
- Returns `{ status: 'empty' }` when no tasks
### `ccw issue complete <item-id>`
- Marks task as 'completed'
- Updates queue.json
- Checks if issue is fully complete
### `ccw issue fail <item-id>`
- Marks task as 'failed'
- Records failure reason
- Allows retry via /issue:execute
### `ccw issue retry [issue-id]`
- Resets failed tasks to 'pending'
- Allows re-execution via `ccw issue next`
## Related Commands
- `/issue:plan` - Plan issues with solutions
- `/issue:queue` - Form execution queue
- `ccw issue queue list` - View queue status
- `ccw issue retry` - Retry failed tasks

View File

@@ -0,0 +1,113 @@
---
name: manage
description: Interactive issue management (CRUD) via ccw cli endpoints with menu-driven interface
argument-hint: "[issue-id] [--action list|view|edit|delete|bulk]"
allowed-tools: TodoWrite(*), Bash(*), Read(*), Write(*), AskUserQuestion(*), Task(*)
---
# Issue Manage Command (/issue:manage)
## Overview
Interactive menu-driven interface for issue management using `ccw issue` CLI endpoints:
- **List**: Browse and filter issues
- **View**: Detailed issue inspection
- **Edit**: Modify issue fields
- **Delete**: Remove issues
- **Bulk**: Batch operations on multiple issues
## CLI Endpoints Reference
```bash
# Core endpoints (ccw issue)
ccw issue list # List all issues
ccw issue list <id> --json # Get issue details
ccw issue status <id> # Detailed status
ccw issue init <id> --title "..." # Create issue
ccw issue task <id> --title "..." # Add task
ccw issue bind <id> <solution-id> # Bind solution
# Queue management
ccw issue queue # List current queue
ccw issue queue add <id> # Add to queue
ccw issue queue list # Queue history
ccw issue queue switch <queue-id> # Switch queue
ccw issue queue archive # Archive queue
ccw issue queue delete <queue-id> # Delete queue
ccw issue next # Get next task
ccw issue done <queue-id> # Mark completed
ccw issue complete <item-id> # (legacy alias for done)
```
## Usage
```bash
# Interactive mode (menu-driven)
/issue:manage
# Direct to specific issue
/issue:manage GH-123
# Direct action
/issue:manage --action list
/issue:manage GH-123 --action edit
```
## Implementation
This command delegates to the `issue-manage` skill for detailed implementation.
### Entry Point
```javascript
const issueId = parseIssueId(userInput);
const action = flags.action;
// Show main menu if no action specified
if (!action) {
await showMainMenu(issueId);
} else {
await executeAction(action, issueId);
}
```
### Main Menu Flow
1. **Dashboard**: Fetch issues summary via `ccw issue list --json`
2. **Menu**: Present action options via AskUserQuestion
3. **Route**: Execute selected action (List/View/Edit/Delete/Bulk)
4. **Loop**: Return to menu after each action
### Available Actions
| Action | Description | CLI Command |
|--------|-------------|-------------|
| List | Browse with filters | `ccw issue list --json` |
| View | Detail view | `ccw issue status <id> --json` |
| Edit | Modify fields | Update `issues.jsonl` |
| Delete | Remove issue | Clean up all related files |
| Bulk | Batch operations | Multi-select + batch update |
## Data Files
| File | Purpose |
|------|---------|
| `.workflow/issues/issues.jsonl` | Issue records |
| `.workflow/issues/solutions/<id>.jsonl` | Solutions per issue |
| `.workflow/issues/queue.json` | Execution queue |
## Error Handling
| Error | Resolution |
|-------|------------|
| No issues found | Suggest creating with /issue:new |
| Issue not found | Show available issues, ask for correction |
| Invalid selection | Show error, re-prompt |
| Write failure | Check permissions, show error |
## Related Commands
- `/issue:new` - Create structured issue
- `/issue:plan` - Plan solution for issue
- `/issue:queue` - Form execution queue
- `/issue:execute` - Execute queued tasks

View File

@@ -0,0 +1,451 @@
---
name: new
description: Create structured issue from GitHub URL or text description, extracting key elements into issues.jsonl
argument-hint: "<github-url | text-description> [--priority 1-5] [--labels label1,label2]"
allowed-tools: TodoWrite(*), Bash(*), Read(*), Write(*), WebFetch(*), AskUserQuestion(*)
---
# Issue New Command (/issue:new)
## Overview
Creates a new structured issue from either:
1. **GitHub Issue URL** - Fetches and parses issue content via `gh` CLI
2. **Text Description** - Parses natural language into structured fields
Outputs a well-formed issue entry to `.workflow/issues/issues.jsonl`.
## Issue Structure (Closed-Loop)
```typescript
interface Issue {
id: string; // GH-123 or ISS-YYYYMMDD-HHMMSS
title: string; // Issue title (clear, concise)
status: 'registered'; // Initial status
priority: number; // 1 (critical) to 5 (low)
context: string; // Problem description
source: 'github' | 'text'; // Input source type
source_url?: string; // GitHub URL if applicable
labels?: string[]; // Categorization labels
// Structured extraction
problem_statement: string; // What is the problem?
expected_behavior?: string; // What should happen?
actual_behavior?: string; // What actually happens?
affected_components?: string[];// Files/modules affected
reproduction_steps?: string[]; // Steps to reproduce
// Closed-loop requirements (guide plan generation)
lifecycle_requirements: {
test_strategy: 'unit' | 'integration' | 'e2e' | 'manual' | 'auto';
regression_scope: 'affected' | 'related' | 'full'; // Which tests to run
acceptance_type: 'automated' | 'manual' | 'both'; // How to verify
commit_strategy: 'per-task' | 'squash' | 'atomic'; // Commit granularity
};
// Metadata
bound_solution_id: null;
solution_count: 0;
created_at: string;
updated_at: string;
}
```
## Lifecycle Requirements
The `lifecycle_requirements` field guides downstream commands (`/issue:plan`, `/issue:execute`):
| Field | Options | Purpose |
|-------|---------|---------|
| `test_strategy` | `unit`, `integration`, `e2e`, `manual`, `auto` | Which test types to generate |
| `regression_scope` | `affected`, `related`, `full` | Which tests to run for regression |
| `acceptance_type` | `automated`, `manual`, `both` | How to verify completion |
| `commit_strategy` | `per-task`, `squash`, `atomic` | Commit granularity |
> **Note**: Task structure (SolutionTask) is defined in `/issue:plan` - see `.claude/commands/issue/plan.md`
## Usage
```bash
# From GitHub URL
/issue:new https://github.com/owner/repo/issues/123
# From text description
/issue:new "Login fails when password contains special characters. Expected: successful login. Actual: 500 error. Affects src/auth/*"
# With options
/issue:new <url-or-text> --priority 2 --labels "bug,auth"
```
## Implementation
### Phase 1: Input Detection
```javascript
const input = userInput.trim();
const flags = parseFlags(userInput); // --priority, --labels
// Detect input type
const isGitHubUrl = input.match(/github\.com\/[\w-]+\/[\w-]+\/issues\/\d+/);
const isGitHubShort = input.match(/^#(\d+)$/); // #123 format
let issueData = {};
if (isGitHubUrl || isGitHubShort) {
// GitHub issue - fetch via gh CLI
issueData = await fetchGitHubIssue(input);
} else {
// Text description - parse structure
issueData = await parseTextDescription(input);
}
```
### Phase 2: GitHub Issue Fetching
```javascript
async function fetchGitHubIssue(urlOrNumber) {
let issueRef;
if (urlOrNumber.startsWith('http')) {
// Extract owner/repo/number from URL
const match = urlOrNumber.match(/github\.com\/([\w-]+)\/([\w-]+)\/issues\/(\d+)/);
if (!match) throw new Error('Invalid GitHub URL');
issueRef = `${match[1]}/${match[2]}#${match[3]}`;
} else {
// #123 format - use current repo
issueRef = urlOrNumber.replace('#', '');
}
// Fetch via gh CLI
const result = Bash(`gh issue view ${issueRef} --json number,title,body,labels,state,url`);
const ghIssue = JSON.parse(result);
// Parse body for structure
const parsed = parseIssueBody(ghIssue.body);
return {
id: `GH-${ghIssue.number}`,
title: ghIssue.title,
source: 'github',
source_url: ghIssue.url,
labels: ghIssue.labels.map(l => l.name),
context: ghIssue.body,
...parsed
};
}
function parseIssueBody(body) {
// Extract structured sections from markdown body
const sections = {};
// Problem/Description
const problemMatch = body.match(/##?\s*(problem|description|issue)[:\s]*([\s\S]*?)(?=##|$)/i);
if (problemMatch) sections.problem_statement = problemMatch[2].trim();
// Expected behavior
const expectedMatch = body.match(/##?\s*(expected|should)[:\s]*([\s\S]*?)(?=##|$)/i);
if (expectedMatch) sections.expected_behavior = expectedMatch[2].trim();
// Actual behavior
const actualMatch = body.match(/##?\s*(actual|current)[:\s]*([\s\S]*?)(?=##|$)/i);
if (actualMatch) sections.actual_behavior = actualMatch[2].trim();
// Steps to reproduce
const stepsMatch = body.match(/##?\s*(steps|reproduce)[:\s]*([\s\S]*?)(?=##|$)/i);
if (stepsMatch) {
const stepsText = stepsMatch[2].trim();
sections.reproduction_steps = stepsText
.split('\n')
.filter(line => line.match(/^\s*[\d\-\*]/))
.map(line => line.replace(/^\s*[\d\.\-\*]\s*/, '').trim());
}
// Affected components (from file references)
const fileMatches = body.match(/`[^`]*\.(ts|js|tsx|jsx|py|go|rs)[^`]*`/g);
if (fileMatches) {
sections.affected_components = [...new Set(fileMatches.map(f => f.replace(/`/g, '')))];
}
// Fallback: use entire body as problem statement
if (!sections.problem_statement) {
sections.problem_statement = body.substring(0, 500);
}
return sections;
}
```
### Phase 3: Text Description Parsing
```javascript
async function parseTextDescription(text) {
// Generate unique ID
const id = `ISS-${new Date().toISOString().replace(/[-:T]/g, '').slice(0, 14)}`;
// Extract structured elements using patterns
const result = {
id,
source: 'text',
title: '',
problem_statement: '',
expected_behavior: null,
actual_behavior: null,
affected_components: [],
reproduction_steps: []
};
// Pattern: "Title. Description. Expected: X. Actual: Y. Affects: files"
const sentences = text.split(/\.(?=\s|$)/);
// First sentence as title
result.title = sentences[0]?.trim() || 'Untitled Issue';
// Look for keywords
for (const sentence of sentences) {
const s = sentence.trim();
if (s.match(/^expected:?\s*/i)) {
result.expected_behavior = s.replace(/^expected:?\s*/i, '');
} else if (s.match(/^actual:?\s*/i)) {
result.actual_behavior = s.replace(/^actual:?\s*/i, '');
} else if (s.match(/^affects?:?\s*/i)) {
const components = s.replace(/^affects?:?\s*/i, '').split(/[,\s]+/);
result.affected_components = components.filter(c => c.includes('/') || c.includes('.'));
} else if (s.match(/^steps?:?\s*/i)) {
result.reproduction_steps = s.replace(/^steps?:?\s*/i, '').split(/[,;]/);
} else if (!result.problem_statement && s.length > 10) {
result.problem_statement = s;
}
}
// Fallback problem statement
if (!result.problem_statement) {
result.problem_statement = text.substring(0, 300);
}
return result;
}
```
### Phase 4: Lifecycle Configuration
```javascript
// Ask for lifecycle requirements (or use smart defaults)
const lifecycleAnswer = AskUserQuestion({
questions: [
{
question: 'Test strategy for this issue?',
header: 'Test',
multiSelect: false,
options: [
{ label: 'auto', description: 'Auto-detect based on affected files (Recommended)' },
{ label: 'unit', description: 'Unit tests only' },
{ label: 'integration', description: 'Integration tests' },
{ label: 'e2e', description: 'End-to-end tests' },
{ label: 'manual', description: 'Manual testing only' }
]
},
{
question: 'Regression scope?',
header: 'Regression',
multiSelect: false,
options: [
{ label: 'affected', description: 'Only affected module tests (Recommended)' },
{ label: 'related', description: 'Affected + dependent modules' },
{ label: 'full', description: 'Full test suite' }
]
},
{
question: 'Commit strategy?',
header: 'Commit',
multiSelect: false,
options: [
{ label: 'per-task', description: 'One commit per task (Recommended)' },
{ label: 'atomic', description: 'Single commit for entire issue' },
{ label: 'squash', description: 'Squash at the end' }
]
}
]
});
const lifecycle = {
test_strategy: lifecycleAnswer.test || 'auto',
regression_scope: lifecycleAnswer.regression || 'affected',
acceptance_type: 'automated',
commit_strategy: lifecycleAnswer.commit || 'per-task'
};
issueData.lifecycle_requirements = lifecycle;
```
### Phase 5: User Confirmation
```javascript
// Show parsed data and ask for confirmation
console.log(`
## Parsed Issue
**ID**: ${issueData.id}
**Title**: ${issueData.title}
**Source**: ${issueData.source}${issueData.source_url ? ` (${issueData.source_url})` : ''}
### Problem Statement
${issueData.problem_statement}
${issueData.expected_behavior ? `### Expected Behavior\n${issueData.expected_behavior}\n` : ''}
${issueData.actual_behavior ? `### Actual Behavior\n${issueData.actual_behavior}\n` : ''}
${issueData.affected_components?.length ? `### Affected Components\n${issueData.affected_components.map(c => `- ${c}`).join('\n')}\n` : ''}
${issueData.reproduction_steps?.length ? `### Reproduction Steps\n${issueData.reproduction_steps.map((s, i) => `${i+1}. ${s}`).join('\n')}\n` : ''}
### Lifecycle Configuration
- **Test Strategy**: ${lifecycle.test_strategy}
- **Regression Scope**: ${lifecycle.regression_scope}
- **Commit Strategy**: ${lifecycle.commit_strategy}
`);
// Ask user to confirm or edit
const answer = AskUserQuestion({
questions: [{
question: 'Create this issue?',
header: 'Confirm',
multiSelect: false,
options: [
{ label: 'Create', description: 'Save issue to issues.jsonl' },
{ label: 'Edit Title', description: 'Modify the issue title' },
{ label: 'Edit Priority', description: 'Change priority (1-5)' },
{ label: 'Cancel', description: 'Discard and exit' }
]
}]
});
if (answer.includes('Cancel')) {
console.log('Issue creation cancelled.');
return;
}
if (answer.includes('Edit Title')) {
const titleAnswer = AskUserQuestion({
questions: [{
question: 'Enter new title:',
header: 'Title',
multiSelect: false,
options: [
{ label: issueData.title.substring(0, 40), description: 'Keep current' }
]
}]
});
// Handle custom input via "Other"
if (titleAnswer.customText) {
issueData.title = titleAnswer.customText;
}
}
```
### Phase 6: Write to JSONL
```javascript
// Construct final issue object
const priority = flags.priority ? parseInt(flags.priority) : 3;
const labels = flags.labels ? flags.labels.split(',').map(l => l.trim()) : [];
const newIssue = {
id: issueData.id,
title: issueData.title,
status: 'registered',
priority,
context: issueData.problem_statement,
source: issueData.source,
source_url: issueData.source_url || null,
labels: [...(issueData.labels || []), ...labels],
// Structured fields
problem_statement: issueData.problem_statement,
expected_behavior: issueData.expected_behavior || null,
actual_behavior: issueData.actual_behavior || null,
affected_components: issueData.affected_components || [],
reproduction_steps: issueData.reproduction_steps || [],
// Closed-loop lifecycle requirements
lifecycle_requirements: issueData.lifecycle_requirements || {
test_strategy: 'auto',
regression_scope: 'affected',
acceptance_type: 'automated',
commit_strategy: 'per-task'
},
// Metadata
bound_solution_id: null,
solution_count: 0,
created_at: new Date().toISOString(),
updated_at: new Date().toISOString()
};
// Ensure directory exists
Bash('mkdir -p .workflow/issues');
// Append to issues.jsonl
const issuesPath = '.workflow/issues/issues.jsonl';
Bash(`echo '${JSON.stringify(newIssue)}' >> "${issuesPath}"`);
console.log(`
## Issue Created
**ID**: ${newIssue.id}
**Title**: ${newIssue.title}
**Priority**: ${newIssue.priority}
**Labels**: ${newIssue.labels.join(', ') || 'none'}
**Source**: ${newIssue.source}
### Next Steps
1. Plan solution: \`/issue:plan ${newIssue.id}\`
2. View details: \`ccw issue status ${newIssue.id}\`
3. Manage issues: \`/issue:manage\`
`);
```
## Examples
### GitHub Issue
```bash
/issue:new https://github.com/myorg/myrepo/issues/42 --priority 2
# Output:
## Issue Created
**ID**: GH-42
**Title**: Fix memory leak in WebSocket handler
**Priority**: 2
**Labels**: bug, performance
**Source**: github (https://github.com/myorg/myrepo/issues/42)
```
### Text Description
```bash
/issue:new "API rate limiting not working. Expected: 429 after 100 requests. Actual: No limit. Affects src/middleware/rate-limit.ts"
# Output:
## Issue Created
**ID**: ISS-20251227-142530
**Title**: API rate limiting not working
**Priority**: 3
**Labels**: none
**Source**: text
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Invalid GitHub URL | Show format hint, ask for correction |
| gh CLI not available | Fall back to WebFetch for public issues |
| Empty description | Prompt user for required fields |
| Duplicate issue ID | Auto-increment or suggest merge |
| Parse failure | Show raw input, ask for manual structuring |
## Related Commands
- `/issue:plan` - Plan solution for issue
- `/issue:manage` - Interactive issue management
- `ccw issue list` - List all issues
- `ccw issue status <id>` - View issue details

View File

@@ -0,0 +1,304 @@
---
name: plan
description: Batch plan issue resolution using issue-plan-agent (explore + plan closed-loop)
argument-hint: "--all-pending <issue-id>[,<issue-id>,...] [--batch-size 3] "
allowed-tools: TodoWrite(*), Task(*), SlashCommand(*), AskUserQuestion(*), Bash(*), Read(*), Write(*)
---
# Issue Plan Command (/issue:plan)
## Overview
Unified planning command using **issue-plan-agent** that combines exploration and planning into a single closed-loop workflow.
## Output Requirements
**Generate Files:**
1. `.workflow/issues/solutions/{issue-id}.jsonl` - Solution with tasks for each issue
**Return Summary:**
```json
{
"bound": [{ "issue_id": "...", "solution_id": "...", "task_count": N }],
"pending_selection": [{ "issue_id": "...", "solutions": [...] }],
"conflicts": [{ "file": "...", "issues": [...] }]
}
```
**Completion Criteria:**
- [ ] Solution file generated for each issue
- [ ] Single solution → auto-bound via `ccw issue bind`
- [ ] Multiple solutions → returned for user selection
- [ ] Tasks conform to schema: `cat .claude/workflows/cli-templates/schemas/solution-schema.json`
- [ ] Each task has quantified `acceptance.criteria`
## Core Capabilities
- **Closed-loop agent**: issue-plan-agent combines explore + plan
- Batch processing: 1 agent processes 1-3 issues
- ACE semantic search integrated into planning
- Solution with executable tasks and delivery criteria
- Automatic solution registration and binding
## Storage Structure (Flat JSONL)
```
.workflow/issues/
├── issues.jsonl # All issues (one per line)
├── queue.json # Execution queue
└── solutions/
├── {issue-id}.jsonl # Solutions for issue (one per line)
└── ...
```
## Usage
```bash
/issue:plan <issue-id>[,<issue-id>,...] [FLAGS]
# Examples
/issue:plan GH-123 # Single issue
/issue:plan GH-123,GH-124,GH-125 # Batch (up to 3)
/issue:plan --all-pending # All pending issues
# Flags
--batch-size <n> Max issues per agent batch (default: 3)
```
## Execution Process
```
Phase 1: Issue Loading
├─ Parse input (single, comma-separated, or --all-pending)
├─ Fetch issue metadata (ID, title, tags)
├─ Validate issues exist (create if needed)
└─ Group by similarity (shared tags or title keywords, max 3 per batch)
Phase 2: Unified Explore + Plan (issue-plan-agent)
├─ Launch issue-plan-agent per batch
├─ Agent performs:
│ ├─ ACE semantic search for each issue
│ ├─ Codebase exploration (files, patterns, dependencies)
│ ├─ Solution generation with task breakdown
│ └─ Conflict detection across issues
└─ Output: solution JSON per issue
Phase 3: Solution Registration & Binding
├─ Append solutions to solutions/{issue-id}.jsonl
├─ Single solution per issue → auto-bind
├─ Multiple candidates → AskUserQuestion to select
└─ Update issues.jsonl with bound_solution_id
Phase 4: Summary
├─ Display bound solutions
├─ Show task counts per issue
└─ Display next steps (/issue:queue)
```
## Implementation
### Phase 1: Issue Loading (ID + Title + Tags)
```javascript
const batchSize = flags.batchSize || 3;
let issues = []; // {id, title, tags}
if (flags.allPending) {
// Get pending issues with metadata via CLI (JSON output)
const result = Bash(`ccw issue list --status pending,registered --json`).trim();
const parsed = result ? JSON.parse(result) : [];
issues = parsed.map(i => ({ id: i.id, title: i.title || '', tags: i.tags || [] }));
if (issues.length === 0) {
console.log('No pending issues found.');
return;
}
console.log(`Found ${issues.length} pending issues`);
} else {
// Parse comma-separated issue IDs, fetch metadata
const ids = userInput.includes(',')
? userInput.split(',').map(s => s.trim())
: [userInput.trim()];
for (const id of ids) {
Bash(`ccw issue init ${id} --title "Issue ${id}" 2>/dev/null || true`);
const info = Bash(`ccw issue status ${id} --json`).trim();
const parsed = info ? JSON.parse(info) : {};
issues.push({ id, title: parsed.title || '', tags: parsed.tags || [] });
}
}
// Intelligent grouping by similarity (tags → title keywords)
function groupBySimilarity(issues, maxSize) {
const batches = [];
const used = new Set();
for (const issue of issues) {
if (used.has(issue.id)) continue;
const batch = [issue];
used.add(issue.id);
const issueTags = new Set(issue.tags);
const issueWords = new Set(issue.title.toLowerCase().split(/\s+/));
// Find similar issues
for (const other of issues) {
if (used.has(other.id) || batch.length >= maxSize) continue;
// Similarity: shared tags or shared title keywords
const sharedTags = other.tags.filter(t => issueTags.has(t)).length;
const otherWords = other.title.toLowerCase().split(/\s+/);
const sharedWords = otherWords.filter(w => issueWords.has(w) && w.length > 3).length;
if (sharedTags > 0 || sharedWords >= 2) {
batch.push(other);
used.add(other.id);
}
}
batches.push(batch);
}
return batches;
}
const batches = groupBySimilarity(issues, batchSize);
console.log(`Processing ${issues.length} issues in ${batches.length} batch(es) (grouped by similarity)`);
TodoWrite({
todos: batches.map((_, i) => ({
content: `Plan batch ${i+1}`,
status: 'pending',
activeForm: `Planning batch ${i+1}`
}))
});
```
### Phase 2: Unified Explore + Plan (issue-plan-agent)
```javascript
Bash(`mkdir -p .workflow/issues/solutions`);
const pendingSelections = []; // Collect multi-solution issues for user selection
for (const [batchIndex, batch] of batches.entries()) {
updateTodo(`Plan batch ${batchIndex + 1}`, 'in_progress');
// Build issue list with metadata for agent context
const issueList = batch.map(i => `- ${i.id}: ${i.title}${i.tags.length ? ` [${i.tags.join(', ')}]` : ''}`).join('\n');
// Build minimal prompt - agent handles exploration, planning, and binding
const issuePrompt = `
## Plan Issues
**Issues** (grouped by similarity):
${issueList}
**Project Root**: ${process.cwd()}
### Steps
1. Fetch: \`ccw issue status <id> --json\`
2. Explore (ACE) → Plan solution
3. Register & bind: \`ccw issue bind <id> --solution <file>\`
### Generate Files
\`.workflow/issues/solutions/{issue-id}.jsonl\` - Solution with tasks (schema: cat .claude/workflows/cli-templates/schemas/solution-schema.json)
### Binding Rules
- **Single solution**: Auto-bind via \`ccw issue bind <id> --solution <file>\`
- **Multiple solutions**: Register only, return for user selection
### Return Summary
\`\`\`json
{
"bound": [{ "issue_id": "...", "solution_id": "...", "task_count": N }],
"pending_selection": [{ "issue_id": "...", "solutions": [{ "id": "...", "description": "...", "task_count": N }] }],
"conflicts": [{ "file": "...", "issues": [...] }]
}
\`\`\`
`;
// Launch issue-plan-agent - agent writes solutions directly
const batchIds = batch.map(i => i.id);
const result = Task(
subagent_type="issue-plan-agent",
run_in_background=false,
description=`Explore & plan ${batch.length} issues: ${batchIds.join(', ')}`,
prompt=issuePrompt
);
// Parse summary from agent
const summary = JSON.parse(result);
// Display auto-bound solutions
for (const item of summary.bound || []) {
console.log(`${item.issue_id}: ${item.solution_id} (${item.task_count} tasks)`);
}
// Collect pending selections for Phase 3
pendingSelections.push(...(summary.pending_selection || []));
// Show conflicts
if (summary.conflicts?.length > 0) {
console.log(`⚠ Conflicts: ${summary.conflicts.map(c => c.file).join(', ')}`);
}
updateTodo(`Plan batch ${batchIndex + 1}`, 'completed');
}
```
### Phase 3: Multi-Solution Selection
```javascript
// Only handle issues where agent generated multiple solutions
if (pendingSelections.length > 0) {
const answer = AskUserQuestion({
questions: pendingSelections.map(({ issue_id, solutions }) => ({
question: `Select solution for ${issue_id}:`,
header: issue_id,
multiSelect: false,
options: solutions.map(s => ({
label: `${s.id} (${s.task_count} tasks)`,
description: s.description
}))
}))
});
// Bind user-selected solutions
for (const { issue_id } of pendingSelections) {
const selectedId = extractSelectedSolutionId(answer, issue_id);
if (selectedId) {
Bash(`ccw issue bind ${issue_id} ${selectedId}`);
console.log(`${issue_id}: ${selectedId} bound`);
}
}
}
```
### Phase 4: Summary
```javascript
// Count planned issues via CLI
const plannedIds = Bash(`ccw issue list --status planned --ids`).trim();
const plannedCount = plannedIds ? plannedIds.split('\n').length : 0;
console.log(`
## Done: ${issues.length} issues → ${plannedCount} planned
Next: \`/issue:queue\`\`/issue:execute\`
`);
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Issue not found | Auto-create in issues.jsonl |
| ACE search fails | Agent falls back to ripgrep |
| No solutions generated | Display error, suggest manual planning |
| User cancels selection | Skip issue, continue with others |
| File conflicts | Agent detects and suggests resolution order |
## Related Commands
- `/issue:queue` - Form execution queue from bound solutions
- `/issue:execute` - Execute queue with codex
- `ccw issue list` - List all issues
- `ccw issue status` - View issue and solution details

View File

@@ -0,0 +1,294 @@
---
name: queue
description: Form execution queue from bound solutions using issue-queue-agent
argument-hint: "[--rebuild] [--issue <id>]"
allowed-tools: TodoWrite(*), Task(*), Bash(*), Read(*), Write(*)
---
# Issue Queue Command (/issue:queue)
## Overview
Queue formation command using **issue-queue-agent** that analyzes all bound solutions, resolves conflicts, and creates an ordered execution queue.
## Output Requirements
**Generate Files:**
1. `.workflow/issues/queues/{queue-id}.json` - Full queue with tasks, conflicts, groups
2. `.workflow/issues/queues/index.json` - Update with new queue entry
**Return Summary:**
```json
{
"queue_id": "QUE-20251227-143000",
"total_tasks": N,
"execution_groups": [{ "id": "P1", "type": "parallel", "count": N }],
"conflicts_resolved": N,
"issues_queued": ["GH-123", "GH-124"]
}
```
**Completion Criteria:**
- [ ] Queue JSON generated with valid DAG (no cycles)
- [ ] All file conflicts resolved with rationale
- [ ] Semantic priority calculated for all tasks
- [ ] Execution groups assigned (parallel P* / sequential S*)
- [ ] Issue statuses updated to `queued` via `ccw issue update`
## Core Capabilities
- **Agent-driven**: issue-queue-agent handles all ordering logic
- Dependency DAG construction and cycle detection
- File conflict detection and resolution
- Semantic priority calculation (0.0-1.0)
- Parallel/Sequential group assignment
## Storage Structure (Queue History)
```
.workflow/issues/
├── issues.jsonl # All issues (one per line)
├── queues/ # Queue history directory
│ ├── index.json # Queue index (active + history)
│ ├── {queue-id}.json # Individual queue files
│ └── ...
└── solutions/
├── {issue-id}.jsonl # Solutions for issue
└── ...
```
### Queue Index Schema
```json
{
"active_queue_id": "QUE-20251227-143000",
"queues": [
{
"id": "QUE-20251227-143000",
"status": "active",
"issue_ids": ["GH-123", "GH-124"],
"total_tasks": 8,
"completed_tasks": 3,
"created_at": "2025-12-27T14:30:00Z"
},
{
"id": "QUE-20251226-100000",
"status": "completed",
"issue_ids": ["GH-120"],
"total_tasks": 5,
"completed_tasks": 5,
"created_at": "2025-12-26T10:00:00Z",
"completed_at": "2025-12-26T12:30:00Z"
}
]
}
```
## Usage
```bash
/issue:queue [FLAGS]
# Examples
/issue:queue # Form NEW queue from all bound solutions
/issue:queue --issue GH-123 # Form queue for specific issue only
/issue:queue --append GH-124 # Append to active queue
/issue:queue --list # List all queues (history)
/issue:queue --switch QUE-xxx # Switch active queue
/issue:queue --archive # Archive completed active queue
# Flags
--issue <id> Form queue for specific issue only
--append <id> Append issue to active queue (don't create new)
# CLI subcommands (ccw issue queue ...)
ccw issue queue list List all queues with status
ccw issue queue switch <queue-id> Switch active queue
ccw issue queue archive Archive current queue
ccw issue queue delete <queue-id> Delete queue from history
```
## Execution Process
```
Phase 1: Solution Loading
├─ Load issues.jsonl
├─ Filter issues with bound_solution_id
├─ Read solutions/{issue-id}.jsonl for each issue
├─ Find bound solution by ID
└─ Extract tasks from bound solutions
Phase 2-4: Agent-Driven Queue Formation (issue-queue-agent)
├─ Launch issue-queue-agent with all tasks
├─ Agent performs:
│ ├─ Build dependency DAG from depends_on
│ ├─ Detect circular dependencies
│ ├─ Identify file modification conflicts
│ ├─ Resolve conflicts using ordering rules
│ ├─ Calculate semantic priority (0.0-1.0)
│ └─ Assign execution groups (parallel/sequential)
└─ Output: queue JSON with ordered tasks
Phase 5: Queue Output
├─ Write queue.json
├─ Update issue statuses in issues.jsonl
└─ Display queue summary
```
## Implementation
### Phase 1: Solution Loading
```javascript
// Load issues.jsonl
const issuesPath = '.workflow/issues/issues.jsonl';
const allIssues = Bash(`cat "${issuesPath}" 2>/dev/null || echo ''`)
.split('\n')
.filter(line => line.trim())
.map(line => JSON.parse(line));
// Filter issues with bound solutions
const plannedIssues = allIssues.filter(i =>
i.status === 'planned' && i.bound_solution_id
);
if (plannedIssues.length === 0) {
console.log('No issues with bound solutions found.');
console.log('Run /issue:plan first to create and bind solutions.');
return;
}
// Load all tasks from bound solutions
const allTasks = [];
for (const issue of plannedIssues) {
const solPath = `.workflow/issues/solutions/${issue.id}.jsonl`;
const solutions = Bash(`cat "${solPath}" 2>/dev/null || echo ''`)
.split('\n')
.filter(line => line.trim())
.map(line => JSON.parse(line));
// Find bound solution
const boundSol = solutions.find(s => s.id === issue.bound_solution_id);
if (!boundSol) {
console.log(`⚠ Bound solution ${issue.bound_solution_id} not found for ${issue.id}`);
continue;
}
for (const task of boundSol.tasks || []) {
allTasks.push({
issue_id: issue.id,
solution_id: issue.bound_solution_id,
task,
exploration_context: boundSol.exploration_context
});
}
}
console.log(`Loaded ${allTasks.length} tasks from ${plannedIssues.length} issues`);
```
### Phase 2-4: Agent-Driven Queue Formation
```javascript
// Build minimal prompt - agent reads schema and handles ordering
const agentPrompt = `
## Order Tasks
**Tasks**: ${allTasks.length} from ${plannedIssues.length} issues
**Project Root**: ${process.cwd()}
### Input
\`\`\`json
${JSON.stringify(allTasks.map(t => ({
key: \`\${t.issue_id}:\${t.task.id}\`,
type: t.task.type,
file_context: t.task.file_context,
depends_on: t.task.depends_on
})), null, 2)}
\`\`\`
### Steps
1. Parse tasks: Extract task keys, types, file contexts, dependencies
2. Build DAG: Construct dependency graph from depends_on references
3. Detect cycles: Verify no circular dependencies exist (abort if found)
4. Detect conflicts: Identify file modification conflicts across issues
5. Resolve conflicts: Apply ordering rules (Create→Update→Delete, config→src→tests)
6. Calculate priority: Compute semantic priority (0.0-1.0) for each task
7. Assign groups: Assign parallel (P*) or sequential (S*) execution groups
8. Generate queue: Write queue JSON with ordered tasks
9. Update index: Update queues/index.json with new queue entry
### Rules
- **DAG Validity**: Output must be valid DAG with no circular dependencies
- **Conflict Resolution**: All file conflicts must be resolved with rationale
- **Ordering Priority**:
1. Create before Update (files must exist before modification)
2. Foundation before integration (config/ → src/)
3. Types before implementation (types/ → components/)
4. Core before tests (src/ → __tests__/)
5. Delete last (preserve dependencies until no longer needed)
- **Parallel Safety**: Tasks in same parallel group must have no file conflicts
- **Queue ID Format**: \`QUE-YYYYMMDD-HHMMSS\` (UTC timestamp)
### Generate Files
1. \`.workflow/issues/queues/\${queueId}.json\` - Full queue (schema: cat .claude/workflows/cli-templates/schemas/queue-schema.json)
2. \`.workflow/issues/queues/index.json\` - Update with new entry
### Return Summary
\`\`\`json
{
"queue_id": "QUE-YYYYMMDD-HHMMSS",
"total_tasks": N,
"execution_groups": [{ "id": "P1", "type": "parallel", "count": N }],
"conflicts_resolved": N,
"issues_queued": ["GH-123"]
}
\`\`\`
`;
const result = Task(
subagent_type="issue-queue-agent",
run_in_background=false,
description=`Order ${allTasks.length} tasks`,
prompt=agentPrompt
);
const summary = JSON.parse(result);
```
### Phase 5: Summary & Status Update
```javascript
// Agent already generated queue files, use summary
console.log(`
## Queue Formed: ${summary.queue_id}
**Tasks**: ${summary.total_tasks}
**Issues**: ${summary.issues_queued.join(', ')}
**Groups**: ${summary.execution_groups.map(g => `${g.id}(${g.count})`).join(', ')}
**Conflicts Resolved**: ${summary.conflicts_resolved}
Next: \`/issue:execute\`
`);
// Update issue statuses via CLI
for (const issueId of summary.issues_queued) {
Bash(`ccw issue update ${issueId} --status queued`);
}
```
## Error Handling
| Error | Resolution |
|-------|------------|
| No bound solutions | Display message, suggest /issue:plan |
| Circular dependency | List cycles, abort queue formation |
| Unresolved conflicts | Agent resolves using ordering rules |
| Invalid task reference | Skip and warn |
## Related Commands
- `/issue:plan` - Plan issues and bind solutions
- `/issue:execute` - Execute queue with codex
- `ccw issue queue list` - View current queue

View File

@@ -143,68 +143,10 @@ Perform Deep Scan analysis for feature: {FEATURE_KEYWORD}
- File Discovery: MCP Code Index (preferred) + rg fallback
- Target: 5-15 most relevant files
**Expected Output Format**:
Return comprehensive analysis as structured JSON:
{
\"feature\": \"{FEATURE_KEYWORD}\",
\"analysis_metadata\": {
\"tool_used\": \"gemini|qwen\",
\"timestamp\": \"ISO_TIMESTAMP\",
\"analysis_mode\": \"deep-scan\"
},
\"files_analyzed\": [
{\"file\": \"path/to/file.ts\", \"relevance\": \"high|medium|low\", \"role\": \"brief description\"}
],
\"architecture\": {
\"overview\": \"High-level description\",
\"modules\": [
{\"name\": \"ModuleName\", \"file\": \"file:line\", \"responsibility\": \"description\", \"dependencies\": [...]}
],
\"interactions\": [
{\"from\": \"ModuleA\", \"to\": \"ModuleB\", \"type\": \"import|call|data-flow\", \"description\": \"...\"}
],
\"entry_points\": [
{\"function\": \"main\", \"file\": \"file:line\", \"description\": \"...\"}
]
},
\"function_calls\": {
\"call_chains\": [
{
\"chain_id\": 1,
\"description\": \"User authentication flow\",
\"sequence\": [
{\"function\": \"login\", \"file\": \"file:line\", \"calls\": [\"validateCredentials\", \"createSession\"]}
]
}
],
\"sequences\": [
{\"from\": \"Client\", \"to\": \"AuthService\", \"method\": \"login(username, password)\", \"returns\": \"Session\"}
]
},
\"data_flow\": {
\"structures\": [
{\"name\": \"UserData\", \"stage\": \"input\", \"shape\": {\"username\": \"string\", \"password\": \"string\"}}
],
\"transformations\": [
{\"from\": \"RawInput\", \"to\": \"ValidatedData\", \"transformer\": \"validateUser\", \"file\": \"file:line\"}
]
},
\"conditional_logic\": {
\"branches\": [
{\"condition\": \"isAuthenticated\", \"file\": \"file:line\", \"true_path\": \"...\", \"false_path\": \"...\"}
],
\"error_handling\": [
{\"error_type\": \"AuthenticationError\", \"handler\": \"handleAuthError\", \"file\": \"file:line\", \"recovery\": \"retry|fail\"}
]
},
\"design_patterns\": [
{\"pattern\": \"Repository Pattern\", \"location\": \"src/repositories\", \"description\": \"...\"}
],
\"recommendations\": [
\"Consider extracting authentication logic into separate module\",
\"Add error recovery for network failures\"
]
}
**MANDATORY FIRST STEP**:
Read: ~/.claude/workflows/cli-templates/schemas/codemap-json-schema.json
**Output**: Return JSON following schema exactly. NO FILE WRITING - return JSON analysis only.
**Critical Requirements**:
- Use Deep Scan mode: Bash (Phase 1 - precise locations) + Gemini CLI (Phase 2 - semantic understanding) + Synthesis (Phase 3 - merge with attribution)
@@ -728,18 +670,6 @@ User → TodoWrite Init → Phase 1 (detect existing) → Phase 3 (update index)
---
## Benefits
- **Per-Feature SKILL**: Independent packages for each analyzed feature
- **Specialized Agent**: cli-explore-agent with Deep Scan mode (Bash + Gemini dual-source)
- **Professional Analysis**: Pre-defined workflow for code exploration and structure analysis
- **Clear Separation**: Agent analyzes (JSON) → Orchestrator documents (Mermaid markdown)
- **Multi-Level Detail**: 4 levels (architecture → function → data → conditional)
- **Visual Flow**: Embedded Mermaid diagrams for all flow types
- **Progressive Loading**: Token-efficient context loading (2K → 30K)
- **Auto-Continue**: Fully autonomous 3-phase execution
- **Smart Skip**: Detects existing codemap, 10x faster index updates
- **CLI Integration**: Gemini/Qwen for deep semantic understanding
## Architecture
@@ -753,12 +683,5 @@ code-map-memory (orchestrator)
│ └─ Transform JSON → 5 Mermaid markdown files + metadata.json
└─ Phase 3: Write SKILL.md (index generation, always runs)
Benefits:
✅ Specialized agent: cli-explore-agent with dual-source strategy (Bash + Gemini)
✅ Professional analysis: Pre-defined Deep Scan workflow
✅ Clear separation: Agent analyzes (JSON) → Orchestrator documents (Mermaid)
✅ Smart skip logic: 10x faster when codemap exists
✅ Multi-level detail: Architecture → Functions → Data → Conditionals
Output: .claude/skills/codemap-{feature}/
```

View File

@@ -0,0 +1,383 @@
---
name: compact
description: Compact current session memory into structured text for session recovery, extracting objective/plan/files/decisions/constraints/state, and save via MCP core_memory tool
argument-hint: "[optional: session description]"
allowed-tools: mcp__ccw-tools__core_memory(*), Read(*)
examples:
- /memory:compact
- /memory:compact "completed core-memory module"
---
# Memory Compact Command (/memory:compact)
## 1. Overview
The `memory:compact` command **compresses current session working memory** into structured text optimized for **session recovery**, extracts critical information, and saves it to persistent storage via MCP `core_memory` tool.
**Core Philosophy**:
- **Session Recovery First**: Capture everything needed to resume work seamlessly
- **Minimize Re-exploration**: Include file paths, decisions, and state to avoid redundant analysis
- **Preserve Train of Thought**: Keep notes and hypotheses for complex debugging
- **Actionable State**: Record last action result and known issues
## 2. Parameters
- `"session description"` (Optional): Session description to supplement objective
- Example: "completed core-memory module"
- Example: "debugging JWT refresh - suspected memory leak"
## 3. Structured Output Format
```markdown
## Session ID
[WFS-ID if workflow session active, otherwise (none)]
## Project Root
[Absolute path to project root, e.g., D:\Claude_dms3]
## Objective
[High-level goal - the "North Star" of this session]
## Execution Plan
[CRITICAL: Embed the LATEST plan in its COMPLETE and DETAILED form]
### Source: [workflow | todo | user-stated | inferred]
<details>
<summary>Full Execution Plan (Click to expand)</summary>
[PRESERVE COMPLETE PLAN VERBATIM - DO NOT SUMMARIZE]
- ALL phases, tasks, subtasks
- ALL file paths (absolute)
- ALL dependencies and prerequisites
- ALL acceptance criteria
- ALL status markers ([x] done, [ ] pending)
- ALL notes and context
Example:
## Phase 1: Setup
- [x] Initialize project structure
- Created D:\Claude_dms3\src\core\index.ts
- Added dependencies: lodash, zod
- [ ] Configure TypeScript
- Update tsconfig.json for strict mode
## Phase 2: Implementation
- [ ] Implement core API
- Target: D:\Claude_dms3\src\api\handler.ts
- Dependencies: Phase 1 complete
- Acceptance: All tests pass
</details>
## Working Files (Modified)
[Absolute paths to actively modified files]
- D:\Claude_dms3\src\file1.ts (role: main implementation)
- D:\Claude_dms3\tests\file1.test.ts (role: unit tests)
## Reference Files (Read-Only)
[Absolute paths to context files - NOT modified but essential for understanding]
- D:\Claude_dms3\.claude\CLAUDE.md (role: project instructions)
- D:\Claude_dms3\src\types\index.ts (role: type definitions)
- D:\Claude_dms3\package.json (role: dependencies)
## Last Action
[Last significant action and its result/status]
## Decisions
- [Decision]: [Reasoning]
- [Decision]: [Reasoning]
## Constraints
- [User-specified limitation or preference]
## Dependencies
- [Added/changed packages or environment requirements]
## Known Issues
- [Deferred bug or edge case]
## Changes Made
- [Completed modification]
## Pending
- [Next step] or (none)
## Notes
[Unstructured thoughts, hypotheses, debugging trails]
```
## 4. Field Definitions
| Field | Purpose | Recovery Value |
|-------|---------|----------------|
| **Session ID** | Workflow session identifier (WFS-*) | Links memory to specific stateful task execution |
| **Project Root** | Absolute path to project directory | Enables correct path resolution in new sessions |
| **Objective** | Ultimate goal of the session | Prevents losing track of broader feature |
| **Execution Plan** | Complete plan from any source (verbatim) | Preserves full planning context, avoids re-planning |
| **Working Files** | Actively modified files (absolute paths) | Immediately identifies where work was happening |
| **Reference Files** | Read-only context files (absolute paths) | Eliminates re-exploration for critical context |
| **Last Action** | Final tool output/status | Immediate state awareness (success/failure) |
| **Decisions** | Architectural choices + reasoning | Prevents re-litigating settled decisions |
| **Constraints** | User-imposed limitations | Maintains personalized coding style |
| **Dependencies** | Package/environment changes | Prevents missing dependency errors |
| **Known Issues** | Deferred bugs/edge cases | Ensures issues aren't forgotten |
| **Changes Made** | Completed modifications | Clear record of what was done |
| **Pending** | Next steps | Immediate action items |
| **Notes** | Hypotheses, debugging trails | Preserves "train of thought" |
## 5. Execution Flow
### Step 1: Analyze Current Session
Extract the following from conversation history:
```javascript
const sessionAnalysis = {
sessionId: "", // WFS-* if workflow session active, null otherwise
projectRoot: "", // Absolute path: D:\Claude_dms3
objective: "", // High-level goal (1-2 sentences)
executionPlan: {
source: "workflow" | "todo" | "user-stated" | "inferred",
content: "" // Full plan content - ALWAYS preserve COMPLETE and DETAILED form
},
workingFiles: [], // {absolutePath, role} - modified files
referenceFiles: [], // {absolutePath, role} - read-only context files
lastAction: "", // Last significant action + result
decisions: [], // {decision, reasoning}
constraints: [], // User-specified limitations
dependencies: [], // Added/changed packages
knownIssues: [], // Deferred bugs
changesMade: [], // Completed modifications
pending: [], // Next steps
notes: "" // Unstructured thoughts
}
```
### Step 2: Generate Structured Text
```javascript
// Helper: Generate execution plan section
const generateExecutionPlan = (plan) => {
const sourceLabels = {
'workflow': 'workflow (IMPL_PLAN.md)',
'todo': 'todo (TodoWrite)',
'user-stated': 'user-stated',
'inferred': 'inferred'
};
// CRITICAL: Preserve complete plan content verbatim - DO NOT summarize
return `### Source: ${sourceLabels[plan.source] || plan.source}
<details>
<summary>Full Execution Plan (Click to expand)</summary>
${plan.content}
</details>`;
};
const structuredText = `## Session ID
${sessionAnalysis.sessionId || '(none)'}
## Project Root
${sessionAnalysis.projectRoot}
## Objective
${sessionAnalysis.objective}
## Execution Plan
${generateExecutionPlan(sessionAnalysis.executionPlan)}
## Working Files (Modified)
${sessionAnalysis.workingFiles.map(f => `- ${f.absolutePath} (role: ${f.role})`).join('\n') || '(none)'}
## Reference Files (Read-Only)
${sessionAnalysis.referenceFiles.map(f => `- ${f.absolutePath} (role: ${f.role})`).join('\n') || '(none)'}
## Last Action
${sessionAnalysis.lastAction}
## Decisions
${sessionAnalysis.decisions.map(d => `- ${d.decision}: ${d.reasoning}`).join('\n') || '(none)'}
## Constraints
${sessionAnalysis.constraints.map(c => `- ${c}`).join('\n') || '(none)'}
## Dependencies
${sessionAnalysis.dependencies.map(d => `- ${d}`).join('\n') || '(none)'}
## Known Issues
${sessionAnalysis.knownIssues.map(i => `- ${i}`).join('\n') || '(none)'}
## Changes Made
${sessionAnalysis.changesMade.map(c => `- ${c}`).join('\n') || '(none)'}
## Pending
${sessionAnalysis.pending.length > 0
? sessionAnalysis.pending.map(p => `- ${p}`).join('\n')
: '(none)'}
## Notes
${sessionAnalysis.notes || '(none)'}`
```
### Step 3: Import to Core Memory via MCP
Use the MCP `core_memory` tool to save the structured text:
```javascript
mcp__ccw-tools__core_memory({
operation: "import",
text: structuredText
})
```
Or via CLI (pipe structured text to import):
```bash
# Write structured text to temp file, then import
echo "$structuredText" | ccw core-memory import
# Or from a file
ccw core-memory import --file /path/to/session-memory.md
```
**Response Format**:
```json
{
"operation": "import",
"id": "CMEM-YYYYMMDD-HHMMSS",
"message": "Created memory: CMEM-YYYYMMDD-HHMMSS"
}
```
### Step 4: Report Recovery ID
After successful import, **clearly display the Recovery ID** to the user:
```
╔════════════════════════════════════════════════════════════════════════════╗
║ ✓ Session Memory Saved ║
║ ║
║ Recovery ID: CMEM-YYYYMMDD-HHMMSS ║
║ ║
║ To restore: "Please import memory <ID>" ║
║ (MCP: core_memory export | CLI: ccw core-memory export --id <ID>) ║
╚════════════════════════════════════════════════════════════════════════════╝
```
## 6. Quality Checklist
Before generating:
- [ ] Session ID captured if workflow session active (WFS-*)
- [ ] Project Root is absolute path (e.g., D:\Claude_dms3)
- [ ] Objective clearly states the "North Star" goal
- [ ] Execution Plan: COMPLETE plan preserved VERBATIM (no summarization)
- [ ] Plan Source: Clearly identified (workflow | todo | user-stated | inferred)
- [ ] Plan Details: ALL phases, tasks, file paths, dependencies, status markers included
- [ ] All file paths are ABSOLUTE (not relative)
- [ ] Working Files: 3-8 modified files with roles
- [ ] Reference Files: Key context files (CLAUDE.md, types, configs)
- [ ] Last Action captures final state (success/failure)
- [ ] Decisions include reasoning, not just choices
- [ ] Known Issues separates deferred from forgotten bugs
- [ ] Notes preserve debugging hypotheses if any
## 7. Path Resolution Rules
### Project Root Detection
1. Check current working directory from environment
2. Look for project markers: `.git/`, `package.json`, `.claude/`
3. Use the topmost directory containing these markers
### Absolute Path Conversion
```javascript
// Convert relative to absolute
const toAbsolutePath = (relativePath, projectRoot) => {
if (path.isAbsolute(relativePath)) return relativePath;
return path.join(projectRoot, relativePath);
};
// Example: "src/api/auth.ts" → "D:\Claude_dms3\src\api\auth.ts"
```
### Reference File Categories
| Category | Examples | Priority |
|----------|----------|----------|
| Project Config | `.claude/CLAUDE.md`, `package.json`, `tsconfig.json` | High |
| Type Definitions | `src/types/*.ts`, `*.d.ts` | High |
| Related Modules | Parent/sibling modules with shared interfaces | Medium |
| Test Files | Corresponding test files for modified code | Medium |
| Documentation | `README.md`, `ARCHITECTURE.md` | Low |
## 8. Plan Detection (Priority Order)
### Priority 1: Workflow Session (IMPL_PLAN.md)
```javascript
// Check for active workflow session
const manifest = await mcp__ccw-tools__session_manager({
operation: "list",
location: "active"
});
if (manifest.sessions?.length > 0) {
const session = manifest.sessions[0];
const plan = await mcp__ccw-tools__session_manager({
operation: "read",
session_id: session.id,
content_type: "plan"
});
sessionAnalysis.sessionId = session.id;
sessionAnalysis.executionPlan.source = "workflow";
sessionAnalysis.executionPlan.content = plan.content;
}
```
### Priority 2: TodoWrite (Current Session Todos)
```javascript
// Extract from conversation - look for TodoWrite tool calls
// Preserve COMPLETE todo list with all details
const todos = extractTodosFromConversation();
if (todos.length > 0) {
sessionAnalysis.executionPlan.source = "todo";
// Format todos with full context - preserve status markers
sessionAnalysis.executionPlan.content = todos.map(t =>
`- [${t.status === 'completed' ? 'x' : t.status === 'in_progress' ? '>' : ' '}] ${t.content}`
).join('\n');
}
```
### Priority 3: User-Stated Plan
```javascript
// Look for explicit plan statements in user messages:
// - "Here's my plan: 1. ... 2. ... 3. ..."
// - "I want to: first..., then..., finally..."
// - Numbered or bulleted lists describing steps
const userPlan = extractUserStatedPlan();
if (userPlan) {
sessionAnalysis.executionPlan.source = "user-stated";
sessionAnalysis.executionPlan.content = userPlan;
}
```
### Priority 4: Inferred Plan
```javascript
// If no explicit plan, infer from:
// - Task description and breakdown discussion
// - Sequence of actions taken
// - Outstanding work mentioned
const inferredPlan = inferPlanFromDiscussion();
if (inferredPlan) {
sessionAnalysis.executionPlan.source = "inferred";
sessionAnalysis.executionPlan.content = inferredPlan;
}
```
## 9. Notes
- **Timing**: Execute at task completion or before context switch
- **Frequency**: Once per independent task or milestone
- **Recovery**: New session can immediately continue with full context
- **Knowledge Graph**: Entity relationships auto-extracted for visualization
- **Absolute Paths**: Critical for cross-session recovery on different machines

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@@ -0,0 +1,471 @@
---
name: docs-full-cli
description: Generate full project documentation using CLI execution (Layer 3→1) with batched agents (4 modules/agent) and gemini→qwen→codex fallback, <20 modules uses direct parallel
argument-hint: "[path] [--tool <gemini|qwen|codex>]"
---
# Full Documentation Generation - CLI Mode (/memory:docs-full-cli)
## Overview
Orchestrates project-wide documentation generation using CLI-based execution with batched agents and automatic tool fallback.
**Parameters**:
- `path`: Target directory (default: current directory)
- `--tool <gemini|qwen|codex>`: Primary tool (default: gemini)
**Execution Flow**: Discovery → Plan Presentation → Execution → Verification
## 3-Layer Architecture & Auto-Strategy Selection
### Layer Definition & Strategy Assignment
| Layer | Depth | Strategy | Purpose | Context Pattern |
|-------|-------|----------|---------|----------------|
| **Layer 3** (Deepest) | ≥3 | `full` | Generate docs for all subdirectories with code | `@**/*` (all files) |
| **Layer 2** (Middle) | 1-2 | `single` | Current dir + child docs | `@*/API.md @*/README.md @*.{ts,tsx,js,...}` |
| **Layer 1** (Top) | 0 | `single` | Current dir + child docs | `@*/API.md @*/README.md @*.{ts,tsx,js,...}` |
**Generation Direction**: Layer 3 → Layer 2 → Layer 1 (bottom-up dependency flow)
**Strategy Auto-Selection**: Strategies are automatically determined by directory depth - no user configuration needed.
### Strategy Details
#### Full Strategy (Layer 3 Only)
- **Use Case**: Deepest directories with comprehensive file coverage
- **Behavior**: Generates API.md + README.md for current directory AND subdirectories containing code
- **Context**: All files in current directory tree (`@**/*`)
- **Output**: `.workflow/docs/{project_name}/{path}/API.md` + `README.md`
#### Single Strategy (Layers 1-2)
- **Use Case**: Upper layers that aggregate from existing documentation
- **Behavior**: Generates API.md + README.md only in current directory
- **Context**: Direct children docs + current directory code files
- **Output**: `.workflow/docs/{project_name}/{path}/API.md` + `README.md`
### Example Flow
```
src/auth/handlers/ (depth 3) → FULL STRATEGY
CONTEXT: @**/* (all files in handlers/ and subdirs)
GENERATES: .workflow/docs/project/src/auth/handlers/{API.md,README.md} + subdirs
src/auth/ (depth 2) → SINGLE STRATEGY
CONTEXT: @*/API.md @*/README.md @*.ts (handlers docs + current code)
GENERATES: .workflow/docs/project/src/auth/{API.md,README.md} only
src/ (depth 1) → SINGLE STRATEGY
CONTEXT: @*/API.md @*/README.md (auth docs, utils docs)
GENERATES: .workflow/docs/project/src/{API.md,README.md} only
./ (depth 0) → SINGLE STRATEGY
CONTEXT: @*/API.md @*/README.md (src docs, tests docs)
GENERATES: .workflow/docs/project/{API.md,README.md} only
```
## Core Execution Rules
1. **Analyze First**: Module discovery + folder classification before generation
2. **Wait for Approval**: Present plan, no execution without user confirmation
3. **Execution Strategy**:
- **<20 modules**: Direct parallel execution (max 4 concurrent per layer)
- **≥20 modules**: Agent batch processing (4 modules/agent, 73% overhead reduction)
4. **Tool Fallback**: Auto-retry with fallback tools on failure
5. **Layer Sequential**: Process layers 3→2→1 (bottom-up), parallel batches within layer
6. **Safety Check**: Verify only docs files modified in .workflow/docs/
7. **Layer-based Grouping**: Group modules by LAYER (not depth) for execution
## Tool Fallback Hierarchy
```javascript
--tool gemini [gemini, qwen, codex] // default
--tool qwen [qwen, gemini, codex]
--tool codex [codex, gemini, qwen]
```
**Trigger**: Non-zero exit code from generation script
| Tool | Best For | Fallback To |
|--------|--------------------------------|----------------|
| gemini | Documentation, patterns | qwen → codex |
| qwen | Architecture, system design | gemini → codex |
| codex | Implementation, code quality | gemini → qwen |
## Execution Phases
### Phase 1: Discovery & Analysis
```javascript
// Get project metadata
Bash({command: "pwd && basename \"$(pwd)\" && git rev-parse --show-toplevel 2>/dev/null || pwd", run_in_background: false});
// Get module structure with classification
Bash({command: "ccw tool exec get_modules_by_depth '{\"format\":\"list\"}' | ccw tool exec classify_folders '{}'", run_in_background: false});
// OR with path parameter
Bash({command: "cd <target-path> && ccw tool exec get_modules_by_depth '{\"format\":\"list\"}' | ccw tool exec classify_folders '{}'", run_in_background: false});
```
**Parse output** `depth:N|path:<PATH>|type:<code|navigation>|...` to extract module paths, types, and count.
**Smart filter**: Auto-detect and skip tests/build/config/vendor based on project tech stack.
### Phase 2: Plan Presentation
**For <20 modules**:
```
Documentation Generation Plan:
Tool: gemini (fallback: qwen → codex)
Total: 7 modules
Execution: Direct parallel (< 20 modules threshold)
Project: myproject
Output: .workflow/docs/myproject/
Will generate docs for:
- ./core/interfaces (12 files, type: code) - depth 2 [Layer 2] - single strategy
- ./core (22 files, type: code) - depth 1 [Layer 2] - single strategy
- ./models (9 files, type: code) - depth 1 [Layer 2] - single strategy
- ./utils (12 files, type: navigation) - depth 1 [Layer 2] - single strategy
- . (5 files, type: code) - depth 0 [Layer 1] - single strategy
Documentation Strategy (Auto-Selected):
- Layer 2 (depth 1-2): API.md + README.md (current dir only, reference child docs)
- Layer 1 (depth 0): API.md + README.md (current dir only, reference child docs)
Output Structure:
- Code folders: API.md + README.md
- Navigation folders: README.md only
Auto-skipped: ./tests, __pycache__, node_modules (15 paths)
Execution order: Layer 2 → Layer 1
Estimated time: ~5-10 minutes
Confirm execution? (y/n)
```
**For ≥20 modules**:
```
Documentation Generation Plan:
Tool: gemini (fallback: qwen → codex)
Total: 31 modules
Execution: Agent batch processing (4 modules/agent)
Project: myproject
Output: .workflow/docs/myproject/
Will generate docs for:
- ./src/features/auth (12 files, type: code) - depth 3 [Layer 3] - full strategy
- ./.claude/commands/cli (6 files, type: code) - depth 3 [Layer 3] - full strategy
- ./src/utils (8 files, type: code) - depth 2 [Layer 2] - single strategy
...
Documentation Strategy (Auto-Selected):
- Layer 3 (depth ≥3): API.md + README.md (all subdirs with code)
- Layer 2 (depth 1-2): API.md + README.md (current dir only)
- Layer 1 (depth 0): API.md + README.md (current dir only)
Output Structure:
- Code folders: API.md + README.md
- Navigation folders: README.md only
Auto-skipped: ./tests, __pycache__, node_modules (15 paths)
Execution order: Layer 3 → Layer 2 → Layer 1
Agent allocation (by LAYER):
- Layer 3 (14 modules, depth ≥3): 4 agents [4, 4, 4, 2]
- Layer 2 (15 modules, depth 1-2): 4 agents [4, 4, 4, 3]
- Layer 1 (2 modules, depth 0): 1 agent [2]
Estimated time: ~15-25 minutes
Confirm execution? (y/n)
```
### Phase 3A: Direct Execution (<20 modules)
**Strategy**: Parallel execution within layer (max 4 concurrent), no agent overhead.
**CRITICAL**: All Bash commands use `run_in_background: false` for synchronous execution.
```javascript
let project_name = detect_project_name();
for (let layer of [3, 2, 1]) {
if (modules_by_layer[layer].length === 0) continue;
let batches = batch_modules(modules_by_layer[layer], 4);
for (let batch of batches) {
let parallel_tasks = batch.map(module => {
return async () => {
let strategy = module.depth >= 3 ? "full" : "single";
for (let tool of tool_order) {
Bash({
command: `cd ${module.path} && ccw tool exec generate_module_docs '{"strategy":"${strategy}","sourcePath":".","projectName":"${project_name}","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`${module.path} (Layer ${layer}) docs generated with ${tool}`);
return true;
}
}
report(`❌ FAILED: ${module.path} (Layer ${layer}) failed all tools`);
return false;
};
});
await Promise.all(parallel_tasks.map(task => task()));
}
}
```
### Phase 3B: Agent Batch Execution (≥20 modules)
**Strategy**: Batch modules into groups of 4, spawn memory-bridge agents per batch.
```javascript
// Group modules by LAYER and batch within each layer
let modules_by_layer = group_by_layer(module_list);
let tool_order = construct_tool_order(primary_tool);
let project_name = detect_project_name();
for (let layer of [3, 2, 1]) {
if (modules_by_layer[layer].length === 0) continue;
let batches = batch_modules(modules_by_layer[layer], 4);
let worker_tasks = [];
for (let batch of batches) {
worker_tasks.push(
Task(
subagent_type="memory-bridge",
description=`Generate docs for ${batch.length} modules in Layer ${layer}`,
prompt=generate_batch_worker_prompt(batch, tool_order, layer, project_name)
)
);
}
await parallel_execute(worker_tasks);
}
```
**Batch Worker Prompt Template**:
```
PURPOSE: Generate documentation for assigned modules with tool fallback
TASK: Generate API.md + README.md for assigned modules using specified strategies.
PROJECT: {{project_name}}
OUTPUT: .workflow/docs/{{project_name}}/
MODULES:
{{module_path_1}} (strategy: {{strategy_1}}, type: {{folder_type_1}})
{{module_path_2}} (strategy: {{strategy_2}}, type: {{folder_type_2}})
...
TOOLS (try in order): {{tool_1}}, {{tool_2}}, {{tool_3}}
EXECUTION SCRIPT: ccw tool exec generate_module_docs
- Accepts strategy parameter: full | single
- Accepts folder type detection: code | navigation
- Tool execution via direct CLI commands (gemini/qwen/codex)
- Output path: .workflow/docs/{{project_name}}/{module_path}/
EXECUTION FLOW (for each module):
1. Tool fallback loop (exit on first success):
for tool in {{tool_1}} {{tool_2}} {{tool_3}}; do
Bash({
command: `cd "{{module_path}}" && ccw tool exec generate_module_docs '{"strategy":"{{strategy}}","sourcePath":".","projectName":"{{project_name}}","tool":"${tool}"}'`,
run_in_background: false
})
exit_code=$?
if [ $exit_code -eq 0 ]; then
report "✅ {{module_path}} docs generated with $tool"
break
else
report "⚠️ {{module_path}} failed with $tool, trying next..."
continue
fi
done
2. Handle complete failure (all tools failed):
if [ $exit_code -ne 0 ]; then
report "❌ FAILED: {{module_path}} - all tools exhausted"
# Continue to next module (do not abort batch)
fi
FOLDER TYPE HANDLING:
- code: Generate API.md + README.md
- navigation: Generate README.md only
FAILURE HANDLING:
- Module-level isolation: One module's failure does not affect others
- Exit code detection: Non-zero exit code triggers next tool
- Exhaustion reporting: Log modules where all tools failed
- Batch continuation: Always process remaining modules
REPORTING FORMAT:
Per-module status:
✅ path/to/module docs generated with {tool}
⚠️ path/to/module failed with {tool}, trying next...
❌ FAILED: path/to/module - all tools exhausted
```
### Phase 4: Project-Level Documentation
**After all module documentation is generated, create project-level documentation files.**
```javascript
let project_name = detect_project_name();
let project_root = get_project_root();
// Step 1: Generate Project README
report("Generating project README.md...");
for (let tool of tool_order) {
Bash({
command: `cd ${project_root} && ccw tool exec generate_module_docs '{"strategy":"project-readme","sourcePath":".","projectName":"${project_name}","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`✅ Project README generated with ${tool}`);
break;
}
}
// Step 2: Generate Architecture & Examples
report("Generating ARCHITECTURE.md and EXAMPLES.md...");
for (let tool of tool_order) {
Bash({
command: `cd ${project_root} && ccw tool exec generate_module_docs '{"strategy":"project-architecture","sourcePath":".","projectName":"${project_name}","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`✅ Architecture docs generated with ${tool}`);
break;
}
}
// Step 3: Generate HTTP API documentation (if API routes detected)
Bash({command: 'rg "router\\.|@Get|@Post" -g "*.{ts,js,py}" 2>/dev/null && echo "API_FOUND" || echo "NO_API"', run_in_background: false});
if (bash_result.stdout.includes("API_FOUND")) {
report("Generating HTTP API documentation...");
for (let tool of tool_order) {
Bash({
command: `cd ${project_root} && ccw tool exec generate_module_docs '{"strategy":"http-api","sourcePath":".","projectName":"${project_name}","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`✅ HTTP API docs generated with ${tool}`);
break;
}
}
}
```
**Expected Output**:
```
Project-Level Documentation:
✅ README.md (project root overview)
✅ ARCHITECTURE.md (system design)
✅ EXAMPLES.md (usage examples)
✅ api/README.md (HTTP API reference) [optional]
```
### Phase 5: Verification
```javascript
// Check documentation files created
Bash({command: 'find .workflow/docs -type f -name "*.md" 2>/dev/null | wc -l', run_in_background: false});
// Display structure
Bash({command: 'tree -L 3 .workflow/docs/', run_in_background: false});
```
**Result Summary**:
```
Documentation Generation Summary:
Total: 31 | Success: 29 | Failed: 2
Tool usage: gemini: 25, qwen: 4, codex: 0
Failed: path1, path2
Generated documentation:
.workflow/docs/myproject/
├── src/
│ ├── auth/
│ │ ├── API.md
│ │ └── README.md
│ └── utils/
│ └── README.md
└── README.md
```
## Error Handling
**Batch Worker**: Tool fallback per module, batch isolation, clear status reporting
**Coordinator**: Invalid path abort, user decline handling, verification with cleanup
**Fallback Triggers**: Non-zero exit code, script timeout, unexpected output
## Output Structure
```
.workflow/docs/{project_name}/
├── src/ # Mirrors source structure
│ ├── modules/
│ │ ├── README.md # Navigation
│ │ ├── auth/
│ │ │ ├── API.md # API signatures
│ │ │ ├── README.md # Module docs
│ │ │ └── middleware/
│ │ │ ├── API.md
│ │ │ └── README.md
│ │ └── api/
│ │ ├── API.md
│ │ └── README.md
│ └── utils/
│ └── README.md
├── lib/
│ └── core/
│ ├── API.md
│ └── README.md
├── README.md # ✨ Project root overview (auto-generated)
├── ARCHITECTURE.md # ✨ System design (auto-generated)
├── EXAMPLES.md # ✨ Usage examples (auto-generated)
└── api/ # ✨ Optional (auto-generated if HTTP API detected)
└── README.md # HTTP API reference
```
## Usage Examples
```bash
# Full project documentation generation
/memory:docs-full-cli
# Target specific directory
/memory:docs-full-cli src/features/auth
/memory:docs-full-cli .claude
# Use specific tool
/memory:docs-full-cli --tool qwen
/memory:docs-full-cli src --tool qwen
```
## Key Advantages
- **Efficiency**: 30 modules → 8 agents (73% reduction from sequential)
- **Resilience**: 3-tier tool fallback per module
- **Performance**: Parallel batches, no concurrency limits
- **Observability**: Per-module tool usage, batch-level metrics
- **Automation**: Zero configuration - strategy auto-selected by directory depth
- **Path Mirroring**: Clear 1:1 mapping between source and documentation structure
## Template Reference
Templates used from `~/.claude/workflows/cli-templates/prompts/documentation/`:
- `api.txt`: Code API documentation (Part A: Code API, Part B: HTTP API)
- `module-readme.txt`: Module purpose, usage, dependencies
- `folder-navigation.txt`: Navigation README for folders with subdirectories
## Related Commands
- `/memory:docs` - Agent-based documentation planning workflow
- `/memory:docs-related-cli` - Update docs for changed modules only
- `/workflow:execute` - Execute documentation tasks (when using agent mode)

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@@ -0,0 +1,386 @@
---
name: docs-related-cli
description: Generate/update documentation for git-changed modules using CLI execution with batched agents (4 modules/agent) and gemini→qwen→codex fallback, <15 modules uses direct parallel
argument-hint: "[--tool <gemini|qwen|codex>]"
---
# Related Documentation Generation - CLI Mode (/memory:docs-related-cli)
## Overview
Orchestrates context-aware documentation generation/update for changed modules using CLI-based execution with batched agents and automatic tool fallback (gemini→qwen→codex).
**Parameters**:
- `--tool <gemini|qwen|codex>`: Primary tool (default: gemini)
**Execution Flow**:
1. Change Detection → 2. Plan Presentation → 3. Batched Execution → 4. Verification
## Core Rules
1. **Detect Changes First**: Use git diff to identify affected modules
2. **Wait for Approval**: Present plan, no execution without user confirmation
3. **Execution Strategy**:
- **<15 modules**: Direct parallel execution (max 4 concurrent per depth, no agent overhead)
- **≥15 modules**: Agent batch processing (4 modules/agent, 73% overhead reduction)
4. **Tool Fallback**: Auto-retry with fallback tools on failure
5. **Depth Sequential**: Process depths N→0, parallel batches within depth (both modes)
6. **Related Mode**: Generate/update only changed modules and their parent contexts
7. **Single Strategy**: Always use `single` strategy (incremental update)
## Tool Fallback Hierarchy
```javascript
--tool gemini [gemini, qwen, codex] // default
--tool qwen [qwen, gemini, codex]
--tool codex [codex, gemini, qwen]
```
**Trigger**: Non-zero exit code from generation script
| Tool | Best For | Fallback To |
|--------|--------------------------------|----------------|
| gemini | Documentation, patterns | qwen → codex |
| qwen | Architecture, system design | gemini → codex |
| codex | Implementation, code quality | gemini → qwen |
## Phase 1: Change Detection & Analysis
```javascript
// Get project metadata
Bash({command: "pwd && basename \"$(pwd)\" && git rev-parse --show-toplevel 2>/dev/null || pwd", run_in_background: false});
// Detect changed modules
Bash({command: "ccw tool exec detect_changed_modules '{\"format\":\"list\"}'", run_in_background: false});
// Cache git changes
Bash({command: "git add -A 2>/dev/null || true", run_in_background: false});
```
**Parse output** `depth:N|path:<PATH>|change:<TYPE>|type:<code|navigation>` to extract affected modules.
**Smart filter**: Auto-detect and skip tests/build/config/vendor based on project tech stack (Node.js/Python/Go/Rust/etc).
**Fallback**: If no changes detected, use recent modules (first 10 by depth).
## Phase 2: Plan Presentation
**Present filtered plan**:
```
Related Documentation Generation Plan:
Tool: gemini (fallback: qwen → codex)
Changed: 4 modules | Batching: 4 modules/agent
Project: myproject
Output: .workflow/docs/myproject/
Will generate/update docs for:
- ./src/api/auth (5 files, type: code) [new module]
- ./src/api (12 files, type: code) [parent of changed auth/]
- ./src (8 files, type: code) [parent context]
- . (14 files, type: code) [root level]
Documentation Strategy:
- Strategy: single (all modules - incremental update)
- Output: API.md + README.md (code folders), README.md only (navigation folders)
- Context: Current dir code + child docs
Auto-skipped (12 paths):
- Tests: ./src/api/auth.test.ts (8 paths)
- Config: tsconfig.json (3 paths)
- Other: node_modules (1 path)
Agent allocation:
- Depth 3 (1 module): 1 agent [1]
- Depth 2 (1 module): 1 agent [1]
- Depth 1 (1 module): 1 agent [1]
- Depth 0 (1 module): 1 agent [1]
Estimated time: ~5-10 minutes
Confirm execution? (y/n)
```
**Decision logic**:
- User confirms "y": Proceed with execution
- User declines "n": Abort, no changes
- <15 modules: Direct execution
- ≥15 modules: Agent batch execution
## Phase 3A: Direct Execution (<15 modules)
**Strategy**: Parallel execution within depth (max 4 concurrent), no agent overhead.
**CRITICAL**: All Bash commands use `run_in_background: false` for synchronous execution.
```javascript
let project_name = detect_project_name();
for (let depth of sorted_depths.reverse()) { // N → 0
let batches = batch_modules(modules_by_depth[depth], 4);
for (let batch of batches) {
let parallel_tasks = batch.map(module => {
return async () => {
for (let tool of tool_order) {
Bash({
command: `cd ${module.path} && ccw tool exec generate_module_docs '{"strategy":"single","sourcePath":".","projectName":"${project_name}","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`${module.path} docs generated with ${tool}`);
return true;
}
}
report(`❌ FAILED: ${module.path} failed all tools`);
return false;
};
});
await Promise.all(parallel_tasks.map(task => task()));
}
}
```
## Phase 3B: Agent Batch Execution (≥15 modules)
### Batching Strategy
```javascript
// Batch modules into groups of 4
function batch_modules(modules, batch_size = 4) {
let batches = [];
for (let i = 0; i < modules.length; i += batch_size) {
batches.push(modules.slice(i, i + batch_size));
}
return batches;
}
// Examples: 10→[4,4,2] | 8→[4,4] | 3→[3]
```
### Coordinator Orchestration
```javascript
let modules_by_depth = group_by_depth(changed_modules);
let tool_order = construct_tool_order(primary_tool);
let project_name = detect_project_name();
for (let depth of sorted_depths.reverse()) { // N → 0
let batches = batch_modules(modules_by_depth[depth], 4);
let worker_tasks = [];
for (let batch of batches) {
worker_tasks.push(
Task(
subagent_type="memory-bridge",
description=`Generate docs for ${batch.length} modules at depth ${depth}`,
prompt=generate_batch_worker_prompt(batch, tool_order, depth, project_name, "related")
)
);
}
await parallel_execute(worker_tasks); // Batches run in parallel
}
```
### Batch Worker Prompt Template
```
PURPOSE: Generate/update documentation for assigned modules with tool fallback (related mode)
TASK:
Generate documentation for the following modules based on recent changes. For each module, try tools in order until success.
PROJECT: {{project_name}}
OUTPUT: .workflow/docs/{{project_name}}/
MODULES:
{{module_path_1}} (type: {{folder_type_1}})
{{module_path_2}} (type: {{folder_type_2}})
{{module_path_3}} (type: {{folder_type_3}})
{{module_path_4}} (type: {{folder_type_4}})
TOOLS (try in order):
1. {{tool_1}}
2. {{tool_2}}
3. {{tool_3}}
EXECUTION:
For each module above:
1. Try tool 1:
Bash({
command: `cd "{{module_path}}" && ccw tool exec generate_module_docs '{"strategy":"single","sourcePath":".","projectName":"{{project_name}}","tool":"{{tool_1}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} docs generated with {{tool_1}}", proceed to next module
→ Failure: Try tool 2
2. Try tool 2:
Bash({
command: `cd "{{module_path}}" && ccw tool exec generate_module_docs '{"strategy":"single","sourcePath":".","projectName":"{{project_name}}","tool":"{{tool_2}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} docs generated with {{tool_2}}", proceed to next module
→ Failure: Try tool 3
3. Try tool 3:
Bash({
command: `cd "{{module_path}}" && ccw tool exec generate_module_docs '{"strategy":"single","sourcePath":".","projectName":"{{project_name}}","tool":"{{tool_3}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} docs generated with {{tool_3}}", proceed to next module
→ Failure: Report "❌ FAILED: {{module_path}} failed all tools", proceed to next module
FOLDER TYPE HANDLING:
- code: Generate API.md + README.md
- navigation: Generate README.md only
REPORTING:
Report final summary with:
- Total processed: X modules
- Successful: Y modules
- Failed: Z modules
- Tool usage: {{tool_1}}:X, {{tool_2}}:Y, {{tool_3}}:Z
```
## Phase 4: Verification
```javascript
// Check documentation files created/updated
Bash({command: 'find .workflow/docs -type f -name "*.md" 2>/dev/null | wc -l', run_in_background: false});
// Display recent changes
Bash({command: 'find .workflow/docs -type f -name "*.md" -mmin -60 2>/dev/null', run_in_background: false});
```
**Aggregate results**:
```
Documentation Generation Summary:
Total: 4 | Success: 4 | Failed: 0
Tool usage:
- gemini: 4 modules
- qwen: 0 modules (fallback)
- codex: 0 modules
Changes:
.workflow/docs/myproject/src/api/auth/API.md (new)
.workflow/docs/myproject/src/api/auth/README.md (new)
.workflow/docs/myproject/src/api/API.md (updated)
.workflow/docs/myproject/src/api/README.md (updated)
.workflow/docs/myproject/src/API.md (updated)
.workflow/docs/myproject/src/README.md (updated)
.workflow/docs/myproject/API.md (updated)
.workflow/docs/myproject/README.md (updated)
```
## Execution Summary
**Module Count Threshold**:
- **<15 modules**: Coordinator executes Phase 3A (Direct Execution)
- **≥15 modules**: Coordinator executes Phase 3B (Agent Batch Execution)
**Agent Hierarchy** (for ≥15 modules):
- **Coordinator**: Handles batch division, spawns worker agents per depth
- **Worker Agents**: Each processes 4 modules with tool fallback (related mode)
## Error Handling
**Batch Worker**:
- Tool fallback per module (auto-retry)
- Batch isolation (failures don't propagate)
- Clear per-module status reporting
**Coordinator**:
- No changes: Use fallback (recent 10 modules)
- User decline: No execution
- Verification fail: Report incomplete modules
- Partial failures: Continue execution, report failed modules
**Fallback Triggers**:
- Non-zero exit code
- Script timeout
- Unexpected output
## Output Structure
```
.workflow/docs/{project_name}/
├── src/ # Mirrors source structure
│ ├── modules/
│ │ ├── README.md
│ │ ├── auth/
│ │ │ ├── API.md # Updated based on code changes
│ │ │ └── README.md # Updated based on code changes
│ │ └── api/
│ │ ├── API.md
│ │ └── README.md
│ └── utils/
│ └── README.md
└── README.md
```
## Usage Examples
```bash
# Daily development documentation update
/memory:docs-related-cli
# After feature work with specific tool
/memory:docs-related-cli --tool qwen
# Code quality documentation review after implementation
/memory:docs-related-cli --tool codex
```
## Key Advantages
**Efficiency**: 30 modules → 8 agents (73% reduction)
**Resilience**: 3-tier fallback per module
**Performance**: Parallel batches, no concurrency limits
**Context-aware**: Updates based on actual git changes
**Fast**: Only affected modules, not entire project
**Incremental**: Single strategy for focused updates
## Coordinator Checklist
- Parse `--tool` (default: gemini)
- Get project metadata (name, root)
- Detect changed modules via detect_changed_modules.sh
- **Smart filter modules** (auto-detect tech stack, skip tests/build/config/vendor)
- Cache git changes
- Apply fallback if no changes (recent 10 modules)
- Construct tool fallback order
- **Present filtered plan** with skip reasons and change types
- **Wait for y/n confirmation**
- Determine execution mode:
- **<15 modules**: Direct execution (Phase 3A)
- For each depth (N→0): Sequential module updates with tool fallback
- **≥15 modules**: Agent batch execution (Phase 3B)
- For each depth (N→0): Batch modules (4 per batch), spawn batch workers in parallel
- Wait for depth/batch completion
- Aggregate results
- Verification check (documentation files created/updated)
- Display summary + recent changes
## Comparison with Full Documentation Generation
| Aspect | Related Generation | Full Generation |
|--------|-------------------|-----------------|
| **Scope** | Changed modules only | All project modules |
| **Speed** | Fast (minutes) | Slower (10-30 min) |
| **Use case** | Daily development | Initial setup, major refactoring |
| **Strategy** | `single` (all) | `full` (L3) + `single` (L1-2) |
| **Trigger** | After commits | After setup or major changes |
| **Batching** | 4 modules/agent | 4 modules/agent |
| **Fallback** | gemini→qwen→codex | gemini→qwen→codex |
| **Complexity threshold** | ≤15 modules | ≤20 modules |
## Template Reference
Templates used from `~/.claude/workflows/cli-templates/prompts/documentation/`:
- `api.txt`: Code API documentation
- `module-readme.txt`: Module purpose, usage, dependencies
- `folder-navigation.txt`: Navigation README for folders
## Related Commands
- `/memory:docs-full-cli` - Full project documentation generation
- `/memory:docs` - Agent-based documentation planning workflow
- `/memory:update-related` - Update CLAUDE.md for changed modules

View File

@@ -36,7 +36,6 @@ Lightweight planner that analyzes project structure, decomposes documentation wo
| `my_app/src/modules/auth/` | `my_app` | `.workflow/docs/my_app/src/modules/auth/API.md` |
| `another_project/lib/utils/` | `another_project` | `.workflow/docs/another_project/lib/utils/API.md` |
**Benefits**: Easy to locate documentation, maintains logical organization, clear 1:1 mapping, supports any project structure.
## Parameters
@@ -65,12 +64,17 @@ Lightweight planner that analyzes project structure, decomposes documentation wo
```bash
# Get target path, project name, and root
bash(pwd && basename "$(pwd)" && git rev-parse --show-toplevel 2>/dev/null || pwd && date +%Y%m%d-%H%M%S)
```
# Create session directories (replace timestamp)
bash(mkdir -p .workflow/active/WFS-docs-{timestamp}/.{task,process,summaries})
```javascript
// Create docs session (type: docs)
SlashCommand(command="/workflow:session:start --type docs --new \"{project_name}-docs-{timestamp}\"")
// Parse output to get sessionId
```
# Create workflow-session.json (replace values)
bash(echo '{"session_id":"WFS-docs-{timestamp}","project":"{project} documentation","status":"planning","timestamp":"2024-01-20T14:30:22+08:00","path":".","target_path":"{target_path}","project_root":"{project_root}","project_name":"{project_name}","mode":"full","tool":"gemini","cli_execute":false}' | jq '.' > .workflow/active/WFS-docs-{timestamp}/workflow-session.json)
```bash
# Update workflow-session.json with docs-specific fields
bash(jq '. + {"target_path":"{target_path}","project_root":"{project_root}","project_name":"{project_name}","mode":"full","tool":"gemini","cli_execute":false}' .workflow/active/{sessionId}/workflow-session.json > tmp.json && mv tmp.json .workflow/active/{sessionId}/workflow-session.json)
```
### Phase 2: Analyze Structure
@@ -81,10 +85,10 @@ bash(echo '{"session_id":"WFS-docs-{timestamp}","project":"{project} documentati
```bash
# 1. Run folder analysis
bash(~/.claude/scripts/get_modules_by_depth.sh | ~/.claude/scripts/classify-folders.sh)
bash(ccw tool exec get_modules_by_depth '{}' | ccw tool exec classify_folders '{}')
# 2. Get top-level directories (first 2 path levels)
bash(~/.claude/scripts/get_modules_by_depth.sh | ~/.claude/scripts/classify-folders.sh | awk -F'|' '{print $1}' | sed 's|^\./||' | awk -F'/' '{if(NF>=2) print $1"/"$2; else if(NF==1) print $1}' | sort -u)
bash(ccw tool exec get_modules_by_depth '{}' | ccw tool exec classify_folders '{}' | awk -F'|' '{print $1}' | sed 's|^\./||' | awk -F'/' '{if(NF>=2) print $1"/"$2; else if(NF==1) print $1}' | sort -u)
# 3. Find existing docs (if directory exists)
bash(if [ -d .workflow/docs/\${project_name} ]; then find .workflow/docs/\${project_name} -type f -name "*.md" ! -path "*/README.md" ! -path "*/ARCHITECTURE.md" ! -path "*/EXAMPLES.md" ! -path "*/api/*" 2>/dev/null; fi)
@@ -181,7 +185,6 @@ Large Projects (single dir >10 docs):
4. If single dir exceeds 10 docs, split by subdirectories
5. Create parallel Level 1 tasks with ≤10 docs each
**Benefits**: Parallel execution, failure isolation, progress visibility, context sharing, document count control.
**Commands**:
@@ -232,12 +235,12 @@ api_id=$((group_count + 3))
| Mode | cli_execute | Placement | CLI MODE | Approval Flag | Agent Role |
|------|-------------|-----------|----------|---------------|------------|
| **Agent** | false | pre_analysis | analysis | (none) | Generate docs in implementation_approach |
| **CLI** | true | implementation_approach | write | --approval-mode yolo | Execute CLI commands, validate output |
| **CLI** | true | implementation_approach | write | --mode write | Execute CLI commands, validate output |
**Command Patterns**:
- Gemini/Qwen: `cd dir && gemini -p "..."`
- CLI Mode: `cd dir && gemini --approval-mode yolo -p "..."`
- Codex: `codex -C dir --full-auto exec "..." --skip-git-repo-check -s danger-full-access`
- Gemini/Qwen: `ccw cli -p "..." --tool gemini --mode analysis --cd dir`
- CLI Mode: `ccw cli -p "..." --tool gemini --mode write --cd dir`
- Codex: `ccw cli -p "..." --tool codex --mode write --cd dir`
**Generation Process**:
1. Read configuration values (tool, cli_execute, mode) from workflow-session.json
@@ -328,7 +331,7 @@ api_id=$((group_count + 3))
{
"step": 2,
"title": "Batch generate documentation via CLI",
"command": "bash(dirs=$(jq -r '.groups.assignments[] | select(.group_id == \"${group_number}\") | .directories[]' ${session_dir}/.process/doc-planning-data.json); for dir in $dirs; do cd \"$dir\" && gemini --approval-mode yolo -p \"PURPOSE: Generate module docs\\nTASK: Create documentation\\nMODE: write\\nCONTEXT: @**/* [phase2_context]\\nEXPECTED: API.md and README.md\\nRULES: Mirror structure\" || echo \"Failed: $dir\"; cd -; done)",
"command": "ccw cli -p 'PURPOSE: Generate module docs\\nTASK: Create documentation\\nMODE: write\\nCONTEXT: @**/* [phase2_context]\\nEXPECTED: API.md and README.md\\nRULES: Mirror structure' --tool gemini --mode write --cd ${dirs_from_group}",
"depends_on": [1],
"output": "generated_docs"
}
@@ -360,7 +363,7 @@ api_id=$((group_count + 3))
},
{
"step": "analyze_project",
"command": "bash(gemini \"PURPOSE: Analyze project structure\\nTASK: Extract overview from modules\\nMODE: analysis\\nCONTEXT: [all_module_docs]\\nEXPECTED: Project outline\")",
"command": "bash(ccw cli -p \"PURPOSE: Analyze project structure\\nTASK: Extract overview from modules\\nMODE: analysis\\nCONTEXT: [all_module_docs]\\nEXPECTED: Project outline\" --tool gemini --mode analysis)",
"output_to": "project_outline"
}
],
@@ -400,7 +403,7 @@ api_id=$((group_count + 3))
"pre_analysis": [
{"step": "load_existing_docs", "command": "bash(cat .workflow/docs/${project_name}/{ARCHITECTURE,EXAMPLES}.md 2>/dev/null || echo 'No existing docs')", "output_to": "existing_arch_examples"},
{"step": "load_all_docs", "command": "bash(cat .workflow/docs/${project_name}/README.md && find .workflow/docs/${project_name} -type f -name '*.md' ! -path '*/README.md' ! -path '*/ARCHITECTURE.md' ! -path '*/EXAMPLES.md' ! -path '*/api/*' | xargs cat)", "output_to": "all_docs"},
{"step": "analyze_architecture", "command": "bash(gemini \"PURPOSE: Analyze system architecture\\nTASK: Synthesize architectural overview and examples\\nMODE: analysis\\nCONTEXT: [all_docs]\\nEXPECTED: Architecture + Examples outline\")", "output_to": "arch_examples_outline"}
{"step": "analyze_architecture", "command": "bash(ccw cli -p \"PURPOSE: Analyze system architecture\\nTASK: Synthesize architectural overview and examples\\nMODE: analysis\\nCONTEXT: [all_docs]\\nEXPECTED: Architecture + Examples outline\" --tool gemini --mode analysis)", "output_to": "arch_examples_outline"}
],
"implementation_approach": [
{
@@ -437,7 +440,7 @@ api_id=$((group_count + 3))
"pre_analysis": [
{"step": "discover_api", "command": "bash(rg 'router\\.| @(Get|Post)' -g '*.{ts,js}')", "output_to": "endpoint_discovery"},
{"step": "load_existing_api", "command": "bash(cat .workflow/docs/${project_name}/api/README.md 2>/dev/null || echo 'No existing API docs')", "output_to": "existing_api_docs"},
{"step": "analyze_api", "command": "bash(gemini \"PURPOSE: Document HTTP API\\nTASK: Analyze endpoints\\nMODE: analysis\\nCONTEXT: @src/api/**/* [endpoint_discovery]\\nEXPECTED: API outline\")", "output_to": "api_outline"}
{"step": "analyze_api", "command": "bash(ccw cli -p \"PURPOSE: Document HTTP API\\nTASK: Analyze endpoints\\nMODE: analysis\\nCONTEXT: @src/api/**/* [endpoint_discovery]\\nEXPECTED: API outline\" --tool gemini --mode analysis)", "output_to": "api_outline"}
],
"implementation_approach": [
{
@@ -598,7 +601,7 @@ api_id=$((group_count + 3))
| Mode | CLI Placement | CLI MODE | Approval Flag | Agent Role |
|------|---------------|----------|---------------|------------|
| **Agent (default)** | pre_analysis | analysis | (none) | Generates documentation content |
| **CLI (--cli-execute)** | implementation_approach | write | --approval-mode yolo | Executes CLI commands, validates output |
| **CLI (--cli-execute)** | implementation_approach | write | --mode write | Executes CLI commands, validates output |
**Execution Flow**:
- **Phase 2**: Unified analysis once, results in `.process/`

View File

@@ -5,7 +5,7 @@ argument-hint: "[--tool gemini|qwen] \"task context description\""
allowed-tools: Task(*), Bash(*)
examples:
- /memory:load "在当前前端基础上开发用户认证功能"
- /memory:load --tool qwen -p "重构支付模块API"
- /memory:load --tool qwen "重构支付模块API"
---
# Memory Load Command (/memory:load)
@@ -39,7 +39,7 @@ The command fully delegates to **universal-executor agent**, which autonomously:
1. **Analyzes Project Structure**: Executes `get_modules_by_depth.sh` to understand architecture
2. **Loads Documentation**: Reads CLAUDE.md, README.md and other key docs
3. **Extracts Keywords**: Derives core keywords from task description
4. **Discovers Files**: Uses MCP code-index or rg/find to locate relevant files
4. **Discovers Files**: Uses CodexLens MCP or rg/find to locate relevant files
5. **CLI Deep Analysis**: Executes Gemini/Qwen CLI for deep context analysis
6. **Generates Content Package**: Returns structured JSON core content package
@@ -109,7 +109,7 @@ Task(
1. **Project Structure**
\`\`\`bash
bash(~/.claude/scripts/get_modules_by_depth.sh)
bash(ccw tool exec get_modules_by_depth '{}')
\`\`\`
2. **Core Documentation**
@@ -136,7 +136,7 @@ Task(
Execute Gemini/Qwen CLI for deep analysis (saves main thread tokens):
\`\`\`bash
cd . && ${tool} -p "
ccw cli -p "
PURPOSE: Extract project core context for task: ${task_description}
TASK: Analyze project architecture, tech stack, key patterns, relevant files
MODE: analysis
@@ -147,7 +147,7 @@ RULES:
- Identify key architecture patterns and technical constraints
- Extract integration points and development standards
- Output concise, structured format
"
" --tool ${tool} --mode analysis
\`\`\`
### Step 4: Generate Core Content Package
@@ -212,7 +212,7 @@ Before returning:
### Example 2: Using Qwen Tool
```bash
/memory:load --tool qwen -p "重构支付模块API"
/memory:load --tool qwen "重构支付模块API"
```
Agent uses Qwen CLI for analysis, returns same structured package.

View File

@@ -508,16 +508,7 @@ User triggers command
---
## Benefits
- **Pure Orchestrator**: No task JSON generation, delegates to /memory:docs
- **Auto-Continue**: Autonomous 4-phase execution without user interaction
- **Intelligent Skip**: Detects existing docs and skips regeneration for fast SKILL updates
- **Always Fresh Index**: Phase 4 always executes to ensure SKILL.md stays synchronized
- **Simplified**: ~70% less code than previous version
- **Maintainable**: Changes to /memory:docs automatically apply
- **Direct Generation**: Phase 4 directly writes SKILL.md
- **Flexible**: Supports all /memory:docs options (tool, mode, cli-execute)
## Architecture

View File

@@ -0,0 +1,310 @@
---
name: tech-research-rules
description: "3-phase orchestrator: extract tech stack → Exa research → generate path-conditional rules (auto-loaded by Claude Code)"
argument-hint: "[session-id | tech-stack-name] [--regenerate] [--tool <gemini|qwen>]"
allowed-tools: SlashCommand(*), TodoWrite(*), Bash(*), Read(*), Write(*), Task(*)
---
# Tech Stack Rules Generator
## Overview
**Purpose**: Generate multi-layered, path-conditional rules that Claude Code automatically loads based on file context.
**Output Structure**:
```
.claude/rules/tech/{tech-stack}/
├── core.md # paths: **/*.{ext} - Core principles
├── patterns.md # paths: src/**/*.{ext} - Implementation patterns
├── testing.md # paths: **/*.{test,spec}.{ext} - Testing rules
├── config.md # paths: *.config.* - Configuration rules
├── api.md # paths: **/api/**/* - API rules (backend only)
├── components.md # paths: **/components/**/* - Component rules (frontend only)
└── metadata.json # Generation metadata
```
**Templates Location**: `~/.claude/workflows/cli-templates/prompts/rules/`
---
## Core Rules
1. **Start Immediately**: First action is TodoWrite initialization
2. **Path-Conditional Output**: Every rule file includes `paths` frontmatter
3. **Template-Driven**: Agent reads templates before generating content
4. **Agent Produces Files**: Agent writes all rule files directly
5. **No Manual Loading**: Rules auto-activate when Claude works with matching files
---
## 3-Phase Execution
### Phase 1: Prepare Context & Detect Tech Stack
**Goal**: Detect input mode, extract tech stack info, determine file extensions
**Input Mode Detection**:
```bash
input="$1"
if [[ "$input" == WFS-* ]]; then
MODE="session"
SESSION_ID="$input"
# Read workflow-session.json to extract tech stack
else
MODE="direct"
TECH_STACK_NAME="$input"
fi
```
**Tech Stack Analysis**:
```javascript
// Decompose composite tech stacks
// "typescript-react-nextjs" → ["typescript", "react", "nextjs"]
const TECH_EXTENSIONS = {
"typescript": "{ts,tsx}",
"javascript": "{js,jsx}",
"python": "py",
"rust": "rs",
"go": "go",
"java": "java",
"csharp": "cs",
"ruby": "rb",
"php": "php"
};
const FRAMEWORK_TYPE = {
"react": "frontend",
"vue": "frontend",
"angular": "frontend",
"nextjs": "fullstack",
"nuxt": "fullstack",
"fastapi": "backend",
"express": "backend",
"django": "backend",
"rails": "backend"
};
```
**Check Existing Rules**:
```bash
normalized_name=$(echo "$TECH_STACK_NAME" | tr '[:upper:]' '[:lower:]' | tr ' ' '-')
rules_dir=".claude/rules/tech/${normalized_name}"
existing_count=$(find "${rules_dir}" -name "*.md" 2>/dev/null | wc -l || echo 0)
```
**Skip Decision**:
- If `existing_count > 0` AND no `--regenerate``SKIP_GENERATION = true`
- If `--regenerate` → Delete existing and regenerate
**Output Variables**:
- `TECH_STACK_NAME`: Normalized name
- `PRIMARY_LANG`: Primary language
- `FILE_EXT`: File extension pattern
- `FRAMEWORK_TYPE`: frontend | backend | fullstack | library
- `COMPONENTS`: Array of tech components
- `SKIP_GENERATION`: Boolean
**TodoWrite**: Mark phase 1 completed
---
### Phase 2: Agent Produces Path-Conditional Rules
**Skip Condition**: Skipped if `SKIP_GENERATION = true`
**Goal**: Delegate to agent for Exa research and rule file generation
**Template Files**:
```
~/.claude/workflows/cli-templates/prompts/rules/
├── tech-rules-agent-prompt.txt # Agent instructions
├── rule-core.txt # Core principles template
├── rule-patterns.txt # Implementation patterns template
├── rule-testing.txt # Testing rules template
├── rule-config.txt # Configuration rules template
├── rule-api.txt # API rules template (backend)
└── rule-components.txt # Component rules template (frontend)
```
**Agent Task**:
```javascript
Task({
subagent_type: "general-purpose",
description: `Generate tech stack rules: ${TECH_STACK_NAME}`,
prompt: `
You are generating path-conditional rules for Claude Code.
## Context
- Tech Stack: ${TECH_STACK_NAME}
- Primary Language: ${PRIMARY_LANG}
- File Extensions: ${FILE_EXT}
- Framework Type: ${FRAMEWORK_TYPE}
- Components: ${JSON.stringify(COMPONENTS)}
- Output Directory: .claude/rules/tech/${TECH_STACK_NAME}/
## Instructions
Read the agent prompt template for detailed instructions:
$(cat ~/.claude/workflows/cli-templates/prompts/rules/tech-rules-agent-prompt.txt)
## Execution Steps
1. Execute Exa research queries (see agent prompt)
2. Read each rule template
3. Generate rule files following template structure
4. Write files to output directory
5. Write metadata.json
6. Report completion
## Variable Substitutions
Replace in templates:
- {TECH_STACK_NAME} → ${TECH_STACK_NAME}
- {PRIMARY_LANG} → ${PRIMARY_LANG}
- {FILE_EXT} → ${FILE_EXT}
- {FRAMEWORK_TYPE} → ${FRAMEWORK_TYPE}
`
})
```
**Completion Criteria**:
- 4-6 rule files written with proper `paths` frontmatter
- metadata.json written
- Agent reports files created
**TodoWrite**: Mark phase 2 completed
---
### Phase 3: Verify & Report
**Goal**: Verify generated files and provide usage summary
**Steps**:
1. **Verify Files**:
```bash
find ".claude/rules/tech/${TECH_STACK_NAME}" -name "*.md" -type f
```
2. **Validate Frontmatter**:
```bash
head -5 ".claude/rules/tech/${TECH_STACK_NAME}/core.md"
```
3. **Read Metadata**:
```javascript
Read(`.claude/rules/tech/${TECH_STACK_NAME}/metadata.json`)
```
4. **Generate Summary Report**:
```
Tech Stack Rules Generated
Tech Stack: {TECH_STACK_NAME}
Location: .claude/rules/tech/{TECH_STACK_NAME}/
Files Created:
├── core.md → paths: **/*.{ext}
├── patterns.md → paths: src/**/*.{ext}
├── testing.md → paths: **/*.{test,spec}.{ext}
├── config.md → paths: *.config.*
├── api.md → paths: **/api/**/* (if backend)
└── components.md → paths: **/components/**/* (if frontend)
Auto-Loading:
- Rules apply automatically when editing matching files
- No manual loading required
Example Activation:
- Edit src/components/Button.tsx → core.md + patterns.md + components.md
- Edit tests/api.test.ts → core.md + testing.md
- Edit package.json → config.md
```
**TodoWrite**: Mark phase 3 completed
---
## Path Pattern Reference
| Pattern | Matches |
|---------|---------|
| `**/*.ts` | All .ts files |
| `src/**/*` | All files under src/ |
| `*.config.*` | Config files in root |
| `**/*.{ts,tsx}` | .ts and .tsx files |
| Tech Stack | Core Pattern | Test Pattern |
|------------|--------------|--------------|
| TypeScript | `**/*.{ts,tsx}` | `**/*.{test,spec}.{ts,tsx}` |
| Python | `**/*.py` | `**/test_*.py, **/*_test.py` |
| Rust | `**/*.rs` | `**/tests/**/*.rs` |
| Go | `**/*.go` | `**/*_test.go` |
---
## Parameters
```bash
/memory:tech-research [session-id | "tech-stack-name"] [--regenerate]
```
**Arguments**:
- **session-id**: `WFS-*` format - Extract from workflow session
- **tech-stack-name**: Direct input - `"typescript"`, `"typescript-react"`
- **--regenerate**: Force regenerate existing rules
---
## Examples
### Single Language
```bash
/memory:tech-research "typescript"
```
**Output**: `.claude/rules/tech/typescript/` with 4 rule files
### Frontend Stack
```bash
/memory:tech-research "typescript-react"
```
**Output**: `.claude/rules/tech/typescript-react/` with 5 rule files (includes components.md)
### Backend Stack
```bash
/memory:tech-research "python-fastapi"
```
**Output**: `.claude/rules/tech/python-fastapi/` with 5 rule files (includes api.md)
### From Session
```bash
/memory:tech-research WFS-user-auth-20251104
```
**Workflow**: Extract tech stack from session → Generate rules
---
## Comparison: Rules vs SKILL
| Aspect | SKILL Memory | Rules |
|--------|--------------|-------|
| Loading | Manual: `Skill("tech")` | Automatic by path |
| Scope | All files when loaded | Only matching files |
| Granularity | Monolithic packages | Per-file-type |
| Context | Full package | Only relevant rules |
**When to Use**:
- **Rules**: Tech stack conventions per file type
- **SKILL**: Reference docs, APIs, examples for manual lookup

View File

@@ -1,477 +0,0 @@
---
name: tech-research
description: 3-phase orchestrator: extract tech stack from session/name → delegate to agent for Exa research and module generation → generate SKILL.md index (skips phase 2 if exists)
argument-hint: "[session-id | tech-stack-name] [--regenerate] [--tool <gemini|qwen>]"
allowed-tools: SlashCommand(*), TodoWrite(*), Bash(*), Read(*), Write(*), Task(*)
---
# Tech Stack Research SKILL Generator
## Overview
**Pure Orchestrator with Agent Delegation**: Prepares context paths and delegates ALL work to agent. Agent produces files directly.
**Auto-Continue Workflow**: Runs fully autonomously once triggered. Each phase completes and automatically triggers the next phase.
**Execution Paths**:
- **Full Path**: All 3 phases (no existing SKILL OR `--regenerate` specified)
- **Skip Path**: Phase 1 → Phase 3 (existing SKILL found AND no `--regenerate` flag)
- **Phase 3 Always Executes**: SKILL index is always generated or updated
**Agent Responsibility**:
- Agent does ALL the work: context reading, Exa research, content synthesis, file writing
- Orchestrator only provides context paths and waits for completion
## Core Rules
1. **Start Immediately**: First action is TodoWrite initialization, second action is Phase 1 execution
2. **Context Path Delegation**: Pass session directory or tech stack name to agent, let agent do discovery
3. **Agent Produces Files**: Agent directly writes all module files, orchestrator does NOT parse agent output
4. **Auto-Continue**: After completing each phase, update TodoWrite and immediately execute next phase
5. **No User Prompts**: Never ask user questions or wait for input between phases
6. **Track Progress**: Update TodoWrite after EVERY phase completion before starting next phase
7. **Lightweight Index**: Phase 3 only generates SKILL.md index by reading existing files
---
## 3-Phase Execution
### Phase 1: Prepare Context Paths
**Goal**: Detect input mode, prepare context paths for agent, check existing SKILL
**Input Mode Detection**:
```bash
# Get input parameter
input="$1"
# Detect mode
if [[ "$input" == WFS-* ]]; then
MODE="session"
SESSION_ID="$input"
CONTEXT_PATH=".workflow/${SESSION_ID}"
else
MODE="direct"
TECH_STACK_NAME="$input"
CONTEXT_PATH="$input" # Pass tech stack name as context
fi
```
**Check Existing SKILL**:
```bash
# For session mode, peek at session to get tech stack name
if [[ "$MODE" == "session" ]]; then
bash(test -f ".workflow/${SESSION_ID}/workflow-session.json")
Read(.workflow/${SESSION_ID}/workflow-session.json)
# Extract tech_stack_name (minimal extraction)
fi
# Normalize and check
normalized_name=$(echo "$TECH_STACK_NAME" | tr '[:upper:]' '[:lower:]' | tr ' ' '-')
bash(test -d ".claude/skills/${normalized_name}" && echo "exists" || echo "not_exists")
bash(find ".claude/skills/${normalized_name}" -name "*.md" 2>/dev/null | wc -l || echo 0)
```
**Skip Decision**:
```javascript
if (existing_files > 0 && !regenerate_flag) {
SKIP_GENERATION = true
message = "Tech stack SKILL already exists, skipping Phase 2. Use --regenerate to force regeneration."
} else if (regenerate_flag) {
bash(rm -rf ".claude/skills/${normalized_name}")
SKIP_GENERATION = false
message = "Regenerating tech stack SKILL from scratch."
} else {
SKIP_GENERATION = false
message = "No existing SKILL found, generating new tech stack documentation."
}
```
**Output Variables**:
- `MODE`: `session` or `direct`
- `SESSION_ID`: Session ID (if session mode)
- `CONTEXT_PATH`: Path to session directory OR tech stack name
- `TECH_STACK_NAME`: Extracted or provided tech stack name
- `SKIP_GENERATION`: Boolean - whether to skip Phase 2
**TodoWrite**:
- If skipping: Mark phase 1 completed, phase 2 completed, phase 3 in_progress
- If not skipping: Mark phase 1 completed, phase 2 in_progress
---
### Phase 2: Agent Produces All Files
**Skip Condition**: Skipped if `SKIP_GENERATION = true`
**Goal**: Delegate EVERYTHING to agent - context reading, Exa research, content synthesis, and file writing
**Agent Task Specification**:
```
Task(
subagent_type: "general-purpose",
description: "Generate tech stack SKILL: {CONTEXT_PATH}",
prompt: "
Generate a complete tech stack SKILL package with Exa research.
**Context Provided**:
- Mode: {MODE}
- Context Path: {CONTEXT_PATH}
**Templates Available**:
- Module Format: ~/.claude/workflows/cli-templates/prompts/tech/tech-module-format.txt
- SKILL Index: ~/.claude/workflows/cli-templates/prompts/tech/tech-skill-index.txt
**Your Responsibilities**:
1. **Extract Tech Stack Information**:
IF MODE == 'session':
- Read `.workflow/active/{session_id}/workflow-session.json`
- Read `.workflow/active/{session_id}/.process/context-package.json`
- Extract tech_stack: {language, frameworks, libraries}
- Build tech stack name: \"{language}-{framework1}-{framework2}\"
- Example: \"typescript-react-nextjs\"
IF MODE == 'direct':
- Tech stack name = CONTEXT_PATH
- Parse composite: split by '-' delimiter
- Example: \"typescript-react-nextjs\" → [\"typescript\", \"react\", \"nextjs\"]
2. **Execute Exa Research** (4-6 parallel queries):
Base Queries (always execute):
- mcp__exa__get_code_context_exa(query: \"{tech} core principles best practices 2025\", tokensNum: 8000)
- mcp__exa__get_code_context_exa(query: \"{tech} common patterns architecture examples\", tokensNum: 7000)
- mcp__exa__web_search_exa(query: \"{tech} configuration setup tooling 2025\", numResults: 5)
- mcp__exa__get_code_context_exa(query: \"{tech} testing strategies\", tokensNum: 5000)
Component Queries (if composite):
- For each additional component:
mcp__exa__get_code_context_exa(query: \"{main_tech} {component} integration\", tokensNum: 5000)
3. **Read Module Format Template**:
Read template for structure guidance:
```bash
Read(~/.claude/workflows/cli-templates/prompts/tech/tech-module-format.txt)
```
4. **Synthesize Content into 6 Modules**:
Follow template structure from tech-module-format.txt:
- **principles.md** - Core concepts, philosophies (~3K tokens)
- **patterns.md** - Implementation patterns with code examples (~5K tokens)
- **practices.md** - Best practices, anti-patterns, pitfalls (~4K tokens)
- **testing.md** - Testing strategies, frameworks (~3K tokens)
- **config.md** - Setup, configuration, tooling (~3K tokens)
- **frameworks.md** - Framework integration (only if composite, ~4K tokens)
Each module follows template format:
- Frontmatter (YAML)
- Main sections with clear headings
- Code examples from Exa research
- Best practices sections
- References to Exa sources
5. **Write Files Directly**:
```javascript
// Create directory
bash(mkdir -p \".claude/skills/{tech_stack_name}\")
// Write each module file using Write tool
Write({ file_path: \".claude/skills/{tech_stack_name}/principles.md\", content: ... })
Write({ file_path: \".claude/skills/{tech_stack_name}/patterns.md\", content: ... })
Write({ file_path: \".claude/skills/{tech_stack_name}/practices.md\", content: ... })
Write({ file_path: \".claude/skills/{tech_stack_name}/testing.md\", content: ... })
Write({ file_path: \".claude/skills/{tech_stack_name}/config.md\", content: ... })
// Write frameworks.md only if composite
// Write metadata.json
Write({
file_path: \".claude/skills/{tech_stack_name}/metadata.json\",
content: JSON.stringify({
tech_stack_name,
components,
is_composite,
generated_at: timestamp,
source: \"exa-research\",
research_summary: { total_queries, total_sources }
})
})
```
6. **Report Completion**:
Provide summary:
- Tech stack name
- Files created (count)
- Exa queries executed
- Sources consulted
**CRITICAL**:
- MUST read external template files before generating content (step 3 for modules, step 4 for index)
- You have FULL autonomy - read files, execute Exa, synthesize content, write files
- Do NOT return JSON or structured data - produce actual .md files
- Handle errors gracefully (Exa failures, missing files, template read failures)
- If tech stack cannot be determined, ask orchestrator to clarify
"
)
```
**Completion Criteria**:
- Agent task executed successfully
- 5-6 modular files written to `.claude/skills/{tech_stack_name}/`
- metadata.json written
- Agent reports completion
**TodoWrite**: Mark phase 2 completed, phase 3 in_progress
---
### Phase 3: Generate SKILL.md Index
**Note**: This phase **ALWAYS executes** - generates or updates the SKILL index.
**Goal**: Read generated module files and create SKILL.md index with loading recommendations
**Steps**:
1. **Verify Generated Files**:
```bash
bash(find ".claude/skills/${TECH_STACK_NAME}" -name "*.md" -type f | sort)
```
2. **Read metadata.json**:
```javascript
Read(.claude/skills/${TECH_STACK_NAME}/metadata.json)
// Extract: tech_stack_name, components, is_composite, research_summary
```
3. **Read Module Headers** (optional, first 20 lines):
```javascript
Read(.claude/skills/${TECH_STACK_NAME}/principles.md, limit: 20)
// Repeat for other modules
```
4. **Read SKILL Index Template**:
```javascript
Read(~/.claude/workflows/cli-templates/prompts/tech/tech-skill-index.txt)
```
5. **Generate SKILL.md Index**:
Follow template from tech-skill-index.txt with variable substitutions:
- `{TECH_STACK_NAME}`: From metadata.json
- `{MAIN_TECH}`: Primary technology
- `{ISO_TIMESTAMP}`: Current timestamp
- `{QUERY_COUNT}`: From research_summary
- `{SOURCE_COUNT}`: From research_summary
- Conditional sections for composite tech stacks
Template provides structure for:
- Frontmatter with metadata
- Overview and tech stack description
- Module organization (Core/Practical/Config sections)
- Loading recommendations (Quick/Implementation/Complete)
- Usage guidelines and auto-trigger keywords
- Research metadata and version history
6. **Write SKILL.md**:
```javascript
Write({
file_path: `.claude/skills/${TECH_STACK_NAME}/SKILL.md`,
content: generatedIndexMarkdown
})
```
**Completion Criteria**:
- SKILL.md index written
- All module files verified
- Loading recommendations included
**TodoWrite**: Mark phase 3 completed
**Final Report**:
```
Tech Stack SKILL Package Complete
Tech Stack: {TECH_STACK_NAME}
Location: .claude/skills/{TECH_STACK_NAME}/
Files: SKILL.md + 5-6 modules + metadata.json
Exa Research: {queries} queries, {sources} sources
Usage: Skill(command: "{TECH_STACK_NAME}")
```
---
## Implementation Details
### TodoWrite Patterns
**Initialization** (Before Phase 1):
```javascript
TodoWrite({todos: [
{"content": "Prepare context paths", "status": "in_progress", "activeForm": "Preparing context paths"},
{"content": "Agent produces all module files", "status": "pending", "activeForm": "Agent producing files"},
{"content": "Generate SKILL.md index", "status": "pending", "activeForm": "Generating SKILL index"}
]})
```
**Full Path** (SKIP_GENERATION = false):
```javascript
// After Phase 1
TodoWrite({todos: [
{"content": "Prepare context paths", "status": "completed", ...},
{"content": "Agent produces all module files", "status": "in_progress", ...},
{"content": "Generate SKILL.md index", "status": "pending", ...}
]})
// After Phase 2
TodoWrite({todos: [
{"content": "Prepare context paths", "status": "completed", ...},
{"content": "Agent produces all module files", "status": "completed", ...},
{"content": "Generate SKILL.md index", "status": "in_progress", ...}
]})
// After Phase 3
TodoWrite({todos: [
{"content": "Prepare context paths", "status": "completed", ...},
{"content": "Agent produces all module files", "status": "completed", ...},
{"content": "Generate SKILL.md index", "status": "completed", ...}
]})
```
**Skip Path** (SKIP_GENERATION = true):
```javascript
// After Phase 1 (skip Phase 2)
TodoWrite({todos: [
{"content": "Prepare context paths", "status": "completed", ...},
{"content": "Agent produces all module files", "status": "completed", ...}, // Skipped
{"content": "Generate SKILL.md index", "status": "in_progress", ...}
]})
```
### Execution Flow
**Full Path**:
```
User → TodoWrite Init → Phase 1 (prepare) → Phase 2 (agent writes files) → Phase 3 (write index) → Report
```
**Skip Path**:
```
User → TodoWrite Init → Phase 1 (detect existing) → Phase 3 (update index) → Report
```
### Error Handling
**Phase 1 Errors**:
- Invalid session ID: Report error, verify session exists
- Missing context-package: Warn, fall back to direct mode
- No tech stack detected: Ask user to specify tech stack name
**Phase 2 Errors (Agent)**:
- Agent task fails: Retry once, report if fails again
- Exa API failures: Agent handles internally with retries
- Incomplete results: Warn user, proceed with partial data if minimum sections available
**Phase 3 Errors**:
- Write failures: Report which files failed
- Missing files: Note in SKILL.md, suggest regeneration
---
## Parameters
```bash
/memory:tech-research [session-id | "tech-stack-name"] [--regenerate] [--tool <gemini|qwen>]
```
**Arguments**:
- **session-id | tech-stack-name**: Input source (auto-detected by WFS- prefix)
- Session mode: `WFS-user-auth-v2` - Extract tech stack from workflow
- Direct mode: `"typescript"`, `"typescript-react-nextjs"` - User specifies
- **--regenerate**: Force regenerate existing SKILL (deletes and recreates)
- **--tool**: Reserved for future CLI integration (default: gemini)
---
## Examples
**Generated File Structure** (for all examples):
```
.claude/skills/{tech-stack}/
├── SKILL.md # Index (Phase 3)
├── principles.md # Agent (Phase 2)
├── patterns.md # Agent
├── practices.md # Agent
├── testing.md # Agent
├── config.md # Agent
├── frameworks.md # Agent (if composite)
└── metadata.json # Agent
```
### Direct Mode - Single Stack
```bash
/memory:tech-research "typescript"
```
**Workflow**:
1. Phase 1: Detects direct mode, checks existing SKILL
2. Phase 2: Agent executes 4 Exa queries, writes 5 modules
3. Phase 3: Generates SKILL.md index
### Direct Mode - Composite Stack
```bash
/memory:tech-research "typescript-react-nextjs"
```
**Workflow**:
1. Phase 1: Decomposes into ["typescript", "react", "nextjs"]
2. Phase 2: Agent executes 6 Exa queries (4 base + 2 components), writes 6 modules (adds frameworks.md)
3. Phase 3: Generates SKILL.md index with framework integration
### Session Mode - Extract from Workflow
```bash
/memory:tech-research WFS-user-auth-20251104
```
**Workflow**:
1. Phase 1: Reads session, extracts tech stack: `python-fastapi-sqlalchemy`
2. Phase 2: Agent researches Python + FastAPI + SQLAlchemy, writes 6 modules
3. Phase 3: Generates SKILL.md index
### Regenerate Existing
```bash
/memory:tech-research "react" --regenerate
```
**Workflow**:
1. Phase 1: Deletes existing SKILL due to --regenerate
2. Phase 2: Agent executes fresh Exa research (latest 2025 practices)
3. Phase 3: Generates updated SKILL.md
### Skip Path - Fast Update
```bash
/memory:tech-research "python"
```
**Scenario**: SKILL already exists with 7 files
**Workflow**:
1. Phase 1: Detects existing SKILL, sets SKIP_GENERATION = true
2. Phase 2: **SKIPPED**
3. Phase 3: Updates SKILL.md index only (5-10x faster)

View File

@@ -36,13 +36,12 @@ Orchestrates project-wide CLAUDE.md updates using batched agent execution with a
- **Use Case**: Deepest directories with unstructured file layouts
- **Behavior**: Generates CLAUDE.md for current directory AND each subdirectory containing files
- **Context**: All files in current directory tree (`@**/*`)
- **Benefits**: Creates foundation documentation for upper layers to reference
#### Single-Layer Strategy (Layers 1-2)
- **Use Case**: Upper layers that aggregate from existing documentation
- **Behavior**: Generates CLAUDE.md only for current directory
- **Context**: Direct children CLAUDE.md files + current directory code files
- **Benefits**: Minimal context consumption, clear layer separation
### Example Flow
```
@@ -95,14 +94,15 @@ src/ (depth 1) → SINGLE-LAYER STRATEGY
### Phase 1: Discovery & Analysis
```bash
# Cache git changes
bash(git add -A 2>/dev/null || true)
```javascript
// Cache git changes
Bash({command: "git add -A 2>/dev/null || true", run_in_background: false});
# Get module structure
bash(~/.claude/scripts/get_modules_by_depth.sh list)
# OR with --path
bash(cd <target-path> && ~/.claude/scripts/get_modules_by_depth.sh list)
// Get module structure
Bash({command: "ccw tool exec get_modules_by_depth '{\"format\":\"list\"}'", run_in_background: false});
// OR with --path
Bash({command: "cd <target-path> && ccw tool exec get_modules_by_depth '{\"format\":\"list\"}'", run_in_background: false});
```
**Parse output** `depth:N|path:<PATH>|...` to extract module paths and count.
@@ -172,26 +172,23 @@ Update Plan:
**Strategy**: Parallel execution within layer (max 4 concurrent), no agent overhead.
```javascript
// Group modules by LAYER (not depth)
let modules_by_layer = group_by_layer(module_list);
let tool_order = construct_tool_order(primary_tool);
**CRITICAL**: All Bash commands use `run_in_background: false` for synchronous execution.
// Process by LAYER (3 → 2 → 1), not by depth
```javascript
for (let layer of [3, 2, 1]) {
if (modules_by_layer[layer].length === 0) continue;
let batches = batch_modules(modules_by_layer[layer], 4);
for (let batch of batches) {
let parallel_tasks = batch.map(module => {
return async () => {
// Auto-determine strategy based on depth
let strategy = module.depth >= 3 ? "multi-layer" : "single-layer";
for (let tool of tool_order) {
let exit_code = bash(`cd ${module.path} && ~/.claude/scripts/update_module_claude.sh "${strategy}" "." "${tool}"`);
if (exit_code === 0) {
Bash({
command: `cd ${module.path} && ccw tool exec update_module_claude '{"strategy":"${strategy}","path":".","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`${module.path} (Layer ${layer}) updated with ${tool}`);
return true;
}
@@ -200,7 +197,6 @@ for (let layer of [3, 2, 1]) {
return false;
};
});
await Promise.all(parallel_tasks.map(task => task()));
}
}
@@ -248,14 +244,17 @@ MODULES:
TOOLS (try in order): {{tool_1}}, {{tool_2}}, {{tool_3}}
EXECUTION SCRIPT: ~/.claude/scripts/update_module_claude.sh
EXECUTION SCRIPT: ccw tool exec update_module_claude
- Accepts strategy parameter: multi-layer | single-layer
- Tool execution via direct CLI commands (gemini/qwen/codex)
EXECUTION FLOW (for each module):
1. Tool fallback loop (exit on first success):
for tool in {{tool_1}} {{tool_2}} {{tool_3}}; do
bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "{{strategy}}" "." "${tool}")
Bash({
command: `cd "{{module_path}}" && ccw tool exec update_module_claude '{"strategy":"{{strategy}}","path":".","tool":"${tool}"}'`,
run_in_background: false
})
exit_code=$?
if [ $exit_code -eq 0 ]; then
@@ -287,12 +286,12 @@ REPORTING FORMAT:
```
### Phase 4: Safety Verification
```bash
# Check only CLAUDE.md modified
bash(git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified")
```javascript
// Check only CLAUDE.md files modified
Bash({command: 'git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified"', run_in_background: false});
# Display status
bash(git status --short)
// Display status
Bash({command: "git status --short", run_in_background: false});
```
**Result Summary**:

View File

@@ -39,12 +39,12 @@ Orchestrates context-aware CLAUDE.md updates for changed modules using batched a
## Phase 1: Change Detection & Analysis
```bash
# Detect changed modules (no index refresh needed)
bash(~/.claude/scripts/detect_changed_modules.sh list)
```javascript
// Detect changed modules
Bash({command: "ccw tool exec detect_changed_modules '{\"format\":\"list\"}'", run_in_background: false});
# Cache git changes
bash(git add -A 2>/dev/null || true)
// Cache git changes
Bash({command: "git add -A 2>/dev/null || true", run_in_background: false});
```
**Parse output** `depth:N|path:<PATH>|change:<TYPE>` to extract affected modules.
@@ -89,47 +89,36 @@ Related Update Plan:
## Phase 3A: Direct Execution (<15 modules)
**Strategy**: Parallel execution within depth (max 4 concurrent), no agent overhead, tool fallback per module.
**Strategy**: Parallel execution within depth (max 4 concurrent), no agent overhead.
**CRITICAL**: All Bash commands use `run_in_background: false` for synchronous execution.
```javascript
let modules_by_depth = group_by_depth(changed_modules);
let tool_order = construct_tool_order(primary_tool);
for (let depth of sorted_depths.reverse()) { // N → 0
let modules = modules_by_depth[depth];
let batches = batch_modules(modules, 4); // Split into groups of 4
let batches = batch_modules(modules_by_depth[depth], 4);
for (let batch of batches) {
// Execute batch in parallel (max 4 concurrent)
let parallel_tasks = batch.map(module => {
return async () => {
let success = false;
for (let tool of tool_order) {
let exit_code = bash(cd ${module.path} && ~/.claude/scripts/update_module_claude.sh "single-layer" "." "${tool}");
if (exit_code === 0) {
report("${module.path} updated with ${tool}");
success = true;
break;
Bash({
command: `cd ${module.path} && ccw tool exec update_module_claude '{"strategy":"single-layer","path":".","tool":"${tool}"}'`,
run_in_background: false
});
if (bash_result.exit_code === 0) {
report(`${module.path} updated with ${tool}`);
return true;
}
}
if (!success) {
report("FAILED: ${module.path} failed all tools");
}
report(`❌ FAILED: ${module.path} failed all tools`);
return false;
};
});
await Promise.all(parallel_tasks.map(task => task())); // Run batch in parallel
await Promise.all(parallel_tasks.map(task => task()));
}
}
```
**Benefits**:
- No agent startup overhead
- Parallel execution within depth (max 4 concurrent)
- Tool fallback still applies per module
- Faster for small changesets (<15 modules)
- Same batching strategy as Phase 3B but without agent layer
---
## Phase 3B: Agent Batch Execution (≥15 modules)
@@ -193,19 +182,27 @@ TOOLS (try in order):
EXECUTION:
For each module above:
1. cd "{{module_path}}"
2. Try tool 1:
bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "single-layer" "." "{{tool_1}}")
→ Success: Report "{{module_path}} updated with {{tool_1}}", proceed to next module
1. Try tool 1:
Bash({
command: `cd "{{module_path}}" && ccw tool exec update_module_claude '{"strategy":"single-layer","path":".","tool":"{{tool_1}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} updated with {{tool_1}}", proceed to next module
→ Failure: Try tool 2
3. Try tool 2:
bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "single-layer" "." "{{tool_2}}")
→ Success: Report "{{module_path}} updated with {{tool_2}}", proceed to next module
2. Try tool 2:
Bash({
command: `cd "{{module_path}}" && ccw tool exec update_module_claude '{"strategy":"single-layer","path":".","tool":"{{tool_2}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} updated with {{tool_2}}", proceed to next module
→ Failure: Try tool 3
4. Try tool 3:
bash(cd "{{module_path}}" && ~/.claude/scripts/update_module_claude.sh "single-layer" "." "{{tool_3}}")
→ Success: Report "{{module_path}} updated with {{tool_3}}", proceed to next module
→ Failure: Report "FAILED: {{module_path}} failed all tools", proceed to next module
3. Try tool 3:
Bash({
command: `cd "{{module_path}}" && ccw tool exec update_module_claude '{"strategy":"single-layer","path":".","tool":"{{tool_3}}"}'`,
run_in_background: false
})
→ Success: Report "✅ {{module_path}} updated with {{tool_3}}", proceed to next module
→ Failure: Report "❌ FAILED: {{module_path}} failed all tools", proceed to next module
REPORTING:
Report final summary with:
@@ -213,30 +210,16 @@ Report final summary with:
- Successful: Y modules
- Failed: Z modules
- Tool usage: {{tool_1}}:X, {{tool_2}}:Y, {{tool_3}}:Z
- Detailed results for each module
```
### Example Execution
**Depth 3 (new module)**:
```javascript
Task(subagent_type="memory-bridge", batch=[./src/api/auth], mode="related")
```
**Benefits**:
- 4 modules → 1 agent (75% reduction)
- Parallel batches, sequential within batch
- Each module gets full fallback chain
- Context-aware updates based on git changes
## Phase 4: Safety Verification
```bash
# Check only CLAUDE.md modified
bash(git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified")
```javascript
// Check only CLAUDE.md modified
Bash({command: 'git diff --cached --name-only | grep -v "CLAUDE.md" || echo "Only CLAUDE.md files modified"', run_in_background: false});
# Display statistics
bash(git diff --stat)
// Display statistics
Bash({command: "git diff --stat", run_in_background: false});
```
**Aggregate results**:

View File

@@ -187,7 +187,7 @@ Objectives:
3. Use Gemini for aggregation (optional):
Command pattern:
cd .workflow/.archives/{session_id} && gemini -p "
ccw cli -p "
PURPOSE: Extract lessons and conflicts from workflow session
TASK:
• Analyze IMPL_PLAN and lessons from manifest
@@ -198,7 +198,7 @@ Objectives:
CONTEXT: @IMPL_PLAN.md @workflow-session.json
EXPECTED: Structured lessons and conflicts in JSON format
RULES: Template reference from skill-aggregation.txt
"
" --tool gemini --mode analysis --cd .workflow/.archives/{session_id}
3.5. **Generate SKILL.md Description** (CRITICAL for auto-loading):
@@ -334,7 +334,7 @@ Objectives:
- Sort sessions by date
2. Use Gemini for final aggregation:
gemini -p "
ccw cli -p "
PURPOSE: Aggregate lessons and conflicts from all workflow sessions
TASK:
• Group successes by functional domain
@@ -345,7 +345,7 @@ Objectives:
CONTEXT: [Provide aggregated JSON data]
EXPECTED: Final aggregated structure for SKILL documents
RULES: Template reference from skill-aggregation.txt
"
" --tool gemini --mode analysis
3. Read templates for formatting (same 4 templates as single mode)

View File

@@ -32,12 +32,16 @@ Identify inconsistencies, duplications, ambiguities, and underspecified items be
IF --session parameter provided:
session_id = provided session
ELSE:
CHECK: find .workflow/active/ -name "WFS-*" -type d
IF active_session EXISTS:
session_id = get_active_session()
ELSE:
# Auto-detect active session
active_sessions = bash(find .workflow/active/ -name "WFS-*" -type d 2>/dev/null)
IF active_sessions is empty:
ERROR: "No active workflow session found. Use --session <session-id>"
EXIT
ELSE IF active_sessions has multiple entries:
# Use most recently modified session
session_id = bash(ls -td .workflow/active/WFS-*/ 2>/dev/null | head -1 | xargs basename)
ELSE:
session_id = basename(active_sessions[0])
# Derive absolute paths
session_dir = .workflow/active/WFS-{session}
@@ -45,13 +49,15 @@ brainstorm_dir = session_dir/.brainstorming
task_dir = session_dir/.task
# Validate required artifacts
SYNTHESIS = brainstorm_dir/role analysis documents
# Note: "role analysis documents" refers to [role]/analysis.md files (e.g., product-manager/analysis.md)
SYNTHESIS_DIR = brainstorm_dir # Contains role analysis files: */analysis.md
IMPL_PLAN = session_dir/IMPL_PLAN.md
TASK_FILES = Glob(task_dir/*.json)
# Abort if missing
IF NOT EXISTS(SYNTHESIS):
ERROR: "role analysis documents not found. Run /workflow:brainstorm:synthesis first"
SYNTHESIS_FILES = Glob(brainstorm_dir/*/analysis.md)
IF SYNTHESIS_FILES.count == 0:
ERROR: "No role analysis documents found in .brainstorming/*/analysis.md. Run /workflow:brainstorm:synthesis first"
EXIT
IF NOT EXISTS(IMPL_PLAN):
@@ -95,7 +101,7 @@ Load only minimal necessary context from each artifact:
- Dependencies (depends_on, blocks)
- Context (requirements, focus_paths, acceptance, artifacts)
- Flow control (pre_analysis, implementation_approach)
- Meta (complexity, priority, use_codex)
- Meta (complexity, priority)
### 3. Build Semantic Models
@@ -135,27 +141,27 @@ Focus on high-signal findings. Limit to 50 findings total; aggregate remainder i
- **Unmapped Tasks**: Tasks with no clear requirement linkage
- **NFR Coverage Gaps**: Non-functional requirements (performance, security, scalability) not reflected in tasks
#### B. Consistency Validation
#### C. Consistency Validation
- **Requirement Conflicts**: Tasks contradicting synthesis requirements
- **Architecture Drift**: IMPL_PLAN architecture not matching synthesis ADRs
- **Terminology Drift**: Same concept named differently across IMPL_PLAN and tasks
- **Data Model Inconsistency**: Tasks referencing entities/fields not in synthesis data model
#### C. Dependency Integrity
#### D. Dependency Integrity
- **Circular Dependencies**: Task A depends on B, B depends on C, C depends on A
- **Missing Dependencies**: Task requires outputs from another task but no explicit dependency
- **Broken Dependencies**: Task depends on non-existent task ID
- **Logical Ordering Issues**: Implementation tasks before foundational setup without dependency note
#### D. Synthesis Alignment
#### E. Synthesis Alignment
- **Priority Conflicts**: High-priority synthesis requirements mapped to low-priority tasks
- **Success Criteria Mismatch**: IMPL_PLAN success criteria not covering synthesis acceptance criteria
- **Risk Mitigation Gaps**: Critical risks in synthesis without corresponding mitigation tasks
#### E. Task Specification Quality
#### F. Task Specification Quality
- **Ambiguous Focus Paths**: Tasks with vague or missing focus_paths
- **Underspecified Acceptance**: Tasks without clear acceptance criteria
@@ -163,12 +169,12 @@ Focus on high-signal findings. Limit to 50 findings total; aggregate remainder i
- **Weak Flow Control**: Tasks without clear implementation_approach or pre_analysis steps
- **Missing Target Files**: Tasks without flow_control.target_files specification
#### F. Duplication Detection
#### G. Duplication Detection
- **Overlapping Task Scope**: Multiple tasks with nearly identical descriptions
- **Redundant Requirements Coverage**: Same requirement covered by multiple tasks without clear partitioning
#### G. Feasibility Assessment
#### H. Feasibility Assessment
- **Complexity Misalignment**: Task marked "simple" but requires multiple file modifications
- **Resource Conflicts**: Parallel tasks requiring same resources/files
@@ -203,7 +209,9 @@ Use this heuristic to prioritize findings:
### 6. Produce Compact Analysis Report
Output a Markdown report (no file writes) with the following structure:
**Report Generation**: Generate report content and save to file.
Output a Markdown report with the following structure:
```markdown
## Action Plan Verification Report
@@ -217,7 +225,11 @@ Output a Markdown report (no file writes) with the following structure:
### Executive Summary
- **Overall Risk Level**: CRITICAL | HIGH | MEDIUM | LOW
- **Recommendation**: BLOCK_EXECUTION | PROCEED_WITH_FIXES | PROCEED_WITH_CAUTION | PROCEED
- **Recommendation**: (See decision matrix below)
- BLOCK_EXECUTION: Critical issues exist (must fix before proceeding)
- PROCEED_WITH_FIXES: High issues exist, no critical (fix recommended before execution)
- PROCEED_WITH_CAUTION: Medium issues only (proceed with awareness)
- PROCEED: Low issues only or no issues (safe to execute)
- **Critical Issues**: {count}
- **High Issues**: {count}
- **Medium Issues**: {count}
@@ -322,14 +334,27 @@ Output a Markdown report (no file writes) with the following structure:
#### Action Recommendations
**If CRITICAL Issues Exist**:
- **BLOCK EXECUTION** - Resolve critical issues before proceeding
- Use TodoWrite to track all required fixes
- Fix broken dependencies and circular references
**Recommendation Decision Matrix**:
**If Only HIGH/MEDIUM/LOW Issues**:
- **PROCEED WITH CAUTION** - Fix high-priority issues first
- Use TodoWrite to systematically track and complete all improvements
| Condition | Recommendation | Action |
|-----------|----------------|--------|
| Critical > 0 | BLOCK_EXECUTION | Must resolve all critical issues before proceeding |
| Critical = 0, High > 0 | PROCEED_WITH_FIXES | Fix high-priority issues before execution |
| Critical = 0, High = 0, Medium > 0 | PROCEED_WITH_CAUTION | Proceed with awareness of medium issues |
| Only Low or None | PROCEED | Safe to execute workflow |
**If CRITICAL Issues Exist** (BLOCK_EXECUTION):
- Resolve all critical issues before proceeding
- Use TodoWrite to track required fixes
- Fix broken dependencies and circular references first
**If HIGH Issues Exist** (PROCEED_WITH_FIXES):
- Fix high-priority issues before execution
- Use TodoWrite to systematically track and complete improvements
**If Only MEDIUM/LOW Issues** (PROCEED_WITH_CAUTION / PROCEED):
- Can proceed with execution
- Address issues during or after implementation
#### TodoWrite-Based Remediation Workflow
@@ -359,13 +384,18 @@ Priority Order:
### 7. Save Report and Execute TodoWrite-Based Remediation
**Save Analysis Report**:
**Step 7.1: Save Analysis Report**:
```bash
report_path = ".workflow/active/WFS-{session}/.process/ACTION_PLAN_VERIFICATION.md"
Write(report_path, full_report_content)
```
**After Report Generation**:
**Step 7.2: Display Report Summary to User**:
- Show executive summary with counts
- Display recommendation (BLOCK/PROCEED_WITH_FIXES/PROCEED_WITH_CAUTION/PROCEED)
- List critical and high issues if any
**Step 7.3: After Report Generation**:
1. **Extract Findings**: Parse all issues by severity
2. **Create TodoWrite Task List**: Convert findings to actionable todos

View File

@@ -81,6 +81,7 @@ ELSE:
**Framework-Based Analysis** (when guidance-specification.md exists):
```bash
Task(subagent_type="conceptual-planning-agent",
run_in_background=false,
prompt="Generate API designer analysis addressing topic framework
## Framework Integration Required
@@ -136,6 +137,7 @@ Task(subagent_type="conceptual-planning-agent",
# For existing analysis updates
IF update_mode = "incremental":
Task(subagent_type="conceptual-planning-agent",
run_in_background=false,
prompt="Update existing API designer analysis
## Current Analysis Context

View File

@@ -2,452 +2,360 @@
name: artifacts
description: Interactive clarification generating confirmed guidance specification through role-based analysis and synthesis
argument-hint: "topic or challenge description [--count N]"
allowed-tools: TodoWrite(*), Read(*), Write(*), Glob(*)
allowed-tools: TodoWrite(*), Read(*), Write(*), Glob(*), AskUserQuestion(*)
---
## Overview
Six-phase workflow: **Automatic project context collection**Extract topic challenges → Select roles → Generate task-specific questions → Detect conflicts → Generate confirmed guidance (declarative statements only).
Seven-phase workflow: **Context collection****Topic analysis****Role selection****Role questions****Conflict resolution****Final check****Generate specification**
All user interactions use AskUserQuestion tool (max 4 questions per call, multi-round).
**Input**: `"GOAL: [objective] SCOPE: [boundaries] CONTEXT: [background]" [--count N]`
**Output**: `.workflow/active/WFS-{topic}/.brainstorming/guidance-specification.md` (CONFIRMED/SELECTED format)
**Core Principle**: Questions dynamically generated from project context + topic keywords/challenges, NOT from generic templates
**Output**: `.workflow/active/WFS-{topic}/.brainstorming/guidance-specification.md`
**Core Principle**: Questions dynamically generated from project context + topic keywords, NOT generic templates
**Parameters**:
- `topic` (required): Topic or challenge description (structured format recommended)
- `--count N` (optional): Number of roles user WANTS to select (system will recommend N+2 options for user to choose from, default: 3)
- `--count N` (optional): Number of roles to select (system recommends N+2 options, default: 3)
---
## Quick Reference
### Phase Summary
| Phase | Goal | AskUserQuestion | Storage |
|-------|------|-----------------|---------|
| 0 | Context collection | - | context-package.json |
| 1 | Topic analysis | 2-4 questions | intent_context |
| 2 | Role selection | 1 multi-select | selected_roles |
| 3 | Role questions | 3-4 per role | role_decisions[role] |
| 4 | Conflict resolution | max 4 per round | cross_role_decisions |
| 4.5 | Final check | progressive rounds | additional_decisions |
| 5 | Generate spec | - | guidance-specification.md |
### AskUserQuestion Pattern
```javascript
// Single-select (Phase 1, 3, 4)
AskUserQuestion({
questions: [
{
question: "{问题文本}",
header: "{短标签}", // max 12 chars
multiSelect: false,
options: [
{ label: "{选项}", description: "{说明和影响}" },
{ label: "{选项}", description: "{说明和影响}" },
{ label: "{选项}", description: "{说明和影响}" }
]
}
// ... max 4 questions per call
]
})
// Multi-select (Phase 2)
AskUserQuestion({
questions: [{
question: "请选择 {count} 个角色",
header: "角色选择",
multiSelect: true,
options: [/* max 4 options per call */]
}]
})
```
### Multi-Round Execution
```javascript
const BATCH_SIZE = 4;
for (let i = 0; i < allQuestions.length; i += BATCH_SIZE) {
const batch = allQuestions.slice(i, i + BATCH_SIZE);
AskUserQuestion({ questions: batch });
// Store responses before next round
}
```
---
## Task Tracking
**⚠️ TodoWrite Rule**: EXTEND auto-parallel's task list (NOT replace/overwrite)
**TodoWrite Rule**: EXTEND auto-parallel's task list (NOT replace/overwrite)
**When called from auto-parallel**:
- Find the artifacts parent task: "Execute artifacts command for interactive framework generation"
- Mark parent task as "in_progress"
- APPEND artifacts sub-tasks AFTER the parent task (Phase 0-5)
- Mark each sub-task as it completes
- When Phase 5 completes, mark parent task as "completed"
- **PRESERVE all other auto-parallel tasks** (role agents, synthesis)
- Find artifacts parent task → Mark "in_progress"
- APPEND sub-tasks (Phase 0-5) → Mark each as completes
- When Phase 5 completes → Mark parent "completed"
- PRESERVE all other auto-parallel tasks
**Standalone Mode**:
```json
[
{"content": "Initialize session (.workflow/active/ session check, parse --count parameter)", "status": "pending", "activeForm": "Initializing"},
{"content": "Phase 0: Automatic project context collection (call context-gather)", "status": "pending", "activeForm": "Phase 0 context collection"},
{"content": "Phase 1: Extract challenges, output 2-4 task-specific questions, wait for user input", "status": "pending", "activeForm": "Phase 1 topic analysis"},
{"content": "Phase 2: Recommend count+2 roles, output role selection, wait for user input", "status": "pending", "activeForm": "Phase 2 role selection"},
{"content": "Phase 3: Generate 3-4 questions per role, output and wait for answers (max 10 per round)", "status": "pending", "activeForm": "Phase 3 role questions"},
{"content": "Phase 4: Detect conflicts, output clarifications, wait for answers (max 10 per round)", "status": "pending", "activeForm": "Phase 4 conflict resolution"},
{"content": "Phase 5: Transform Q&A to declarative statements, write guidance-specification.md", "status": "pending", "activeForm": "Phase 5 document generation"}
{"content": "Initialize session", "status": "pending", "activeForm": "Initializing"},
{"content": "Phase 0: Context collection", "status": "pending", "activeForm": "Phase 0"},
{"content": "Phase 1: Topic analysis (2-4 questions)", "status": "pending", "activeForm": "Phase 1"},
{"content": "Phase 2: Role selection", "status": "pending", "activeForm": "Phase 2"},
{"content": "Phase 3: Role questions (per role)", "status": "pending", "activeForm": "Phase 3"},
{"content": "Phase 4: Conflict resolution", "status": "pending", "activeForm": "Phase 4"},
{"content": "Phase 4.5: Final clarification", "status": "pending", "activeForm": "Phase 4.5"},
{"content": "Phase 5: Generate specification", "status": "pending", "activeForm": "Phase 5"}
]
```
## User Interaction Protocol
### Question Output Format
All questions output as structured text (detailed format with descriptions):
```markdown
【问题{N} - {短标签}】{问题文本}
a) {选项标签}
说明:{选项说明和影响}
b) {选项标签}
说明:{选项说明和影响}
c) {选项标签}
说明:{选项说明和影响}
请回答:{N}a 或 {N}b 或 {N}c
```
**Multi-select format** (Phase 2 role selection):
```markdown
【角色选择】请选择 {count} 个角色参与头脑风暴分析
a) {role-name} ({中文名})
推荐理由:{基于topic的相关性说明}
b) {role-name} ({中文名})
推荐理由:{基于topic的相关性说明}
...
支持格式:
- 分别选择2a 2c 2d (选择第2题的a、c、d选项)
- 合并语法2acd (选择a、c、d)
- 逗号分隔2a,c,d
请输入选择:
```
### Input Parsing Rules
**Supported formats** (intelligent parsing):
1. **Space-separated**: `1a 2b 3c` → Q1:a, Q2:b, Q3:c
2. **Comma-separated**: `1a,2b,3c` → Q1:a, Q2:b, Q3:c
3. **Multi-select combined**: `2abc` → Q2: options a,b,c
4. **Multi-select spaces**: `2 a b c` → Q2: options a,b,c
5. **Multi-select comma**: `2a,b,c` → Q2: options a,b,c
6. **Natural language**: `问题1选a` → 1a (fallback parsing)
**Parsing algorithm**:
- Extract question numbers and option letters
- Validate question numbers match output
- Validate option letters exist for each question
- If ambiguous/invalid, output example format and request re-input
**Error handling** (lenient):
- Recognize common variations automatically
- If parsing fails, show example and wait for clarification
- Support re-input without penalty
### Batching Strategy
**Batch limits**:
- **Default**: Maximum 10 questions per round
- **Phase 2 (role selection)**: Display all recommended roles at once (count+2 roles)
- **Auto-split**: If questions > 10, split into multiple rounds with clear round indicators
**Round indicators**:
```markdown
===== 第 1 轮问题 (共2轮) =====
【问题1 - ...】...
【问题2 - ...】...
...
【问题10 - ...】...
请回答 (格式: 1a 2b ... 10c)
```
### Interaction Flow
**Standard flow**:
1. Output questions in formatted text
2. Output expected input format example
3. Wait for user input
4. Parse input with intelligent matching
5. If parsing succeeds → Store answers and continue
6. If parsing fails → Show error, example, and wait for re-input
**No question/option limits**: Text-based interaction removes previous 4-question and 4-option restrictions
---
## Execution Phases
### Session Management
- Check `.workflow/active/` for existing sessions
- Multiple sessions → Prompt selection | Single → Use it | None → Create `WFS-[topic-slug]`
- Parse `--count N` parameter from user input (default: 3 if not specified)
- Store decisions in `workflow-session.json` including count parameter
- Multiple → Prompt selection | Single → Use it | None → Create `WFS-[topic-slug]`
- Parse `--count N` parameter (default: 3)
- Store decisions in `workflow-session.json`
### Phase 0: Automatic Project Context Collection
### Phase 0: Context Collection
**Goal**: Gather project architecture, documentation, and relevant code context BEFORE user interaction
**Goal**: Gather project context BEFORE user interaction
**Detection Mechanism** (execute first):
```javascript
// Check if context-package already exists
const contextPackagePath = `.workflow/active/WFS-{session-id}/.process/context-package.json`;
**Steps**:
1. Check if `context-package.json` exists → Skip if valid
2. Invoke `context-search-agent` (BRAINSTORM MODE - lightweight)
3. Output: `.workflow/active/WFS-{session-id}/.process/context-package.json`
if (file_exists(contextPackagePath)) {
// Validate package
const package = Read(contextPackagePath);
if (package.metadata.session_id === session_id) {
console.log("✅ Valid context-package found, skipping Phase 0");
return; // Skip to Phase 1
}
}
```
**Implementation**: Invoke `context-search-agent` only if package doesn't exist
**Graceful Degradation**: If agent fails, continue to Phase 1 without context
```javascript
Task(
subagent_type="context-search-agent",
run_in_background=false,
description="Gather project context for brainstorm",
prompt=`
You are executing as context-search-agent (.claude/agents/context-search-agent.md).
Execute context-search-agent in BRAINSTORM MODE (Phase 1-2 only).
## Execution Mode
**BRAINSTORM MODE** (Lightweight) - Phase 1-2 only (skip deep analysis)
Session: ${session_id}
Task: ${task_description}
Output: .workflow/${session_id}/.process/context-package.json
## Session Information
- **Session ID**: ${session_id}
- **Task Description**: ${task_description}
- **Output Path**: .workflow/${session_id}/.process/context-package.json
## Mission
Execute complete context-search-agent workflow for implementation planning:
### Phase 1: Initialization & Pre-Analysis
1. **Detection**: Check for existing context-package (early exit if valid)
2. **Foundation**: Initialize code-index, get project structure, load docs
3. **Analysis**: Extract keywords, determine scope, classify complexity
### Phase 2: Multi-Source Context Discovery
Execute all 3 discovery tracks:
- **Track 1**: Reference documentation (CLAUDE.md, architecture docs)
- **Track 2**: Web examples (use Exa MCP for unfamiliar tech/APIs)
- **Track 3**: Codebase analysis (5-layer discovery: files, content, patterns, deps, config/tests)
### Phase 3: Synthesis, Assessment & Packaging
1. Apply relevance scoring and build dependency graph
2. Synthesize 3-source data (docs > code > web)
3. Integrate brainstorm artifacts (if .brainstorming/ exists, read content)
4. Perform conflict detection with risk assessment
5. Generate and validate context-package.json
## Output Requirements
Complete context-package.json with:
- **metadata**: task_description, keywords, complexity, tech_stack, session_id
- **project_context**: architecture_patterns, coding_conventions, tech_stack
- **assets**: {documentation[], source_code[], config[], tests[]} with relevance scores
- **dependencies**: {internal[], external[]} with dependency graph
- **brainstorm_artifacts**: {guidance_specification, role_analyses[], synthesis_output} with content
- **conflict_detection**: {risk_level, risk_factors, affected_modules[], mitigation_strategy}
## Quality Validation
Before completion verify:
- [ ] Valid JSON format with all required fields
- [ ] File relevance accuracy >80%
- [ ] Dependency graph complete (max 2 transitive levels)
- [ ] Conflict risk level calculated correctly
- [ ] No sensitive data exposed
- [ ] Total files ≤50 (prioritize high-relevance)
Execute autonomously following agent documentation.
Report completion with statistics.
Required fields: metadata, project_context, assets, dependencies, conflict_detection
`
)
```
**Graceful Degradation**:
- If agent fails: Log warning, continue to Phase 1 without project context
- If package invalid: Re-run context-search-agent
### Phase 1: Topic Analysis
### Phase 1: Topic Analysis & Intent Classification
**Goal**: Extract keywords/challenges to drive all subsequent question generation, **enriched by Phase 0 project context**
**Goal**: Extract keywords/challenges enriched by Phase 0 context
**Steps**:
1. **Load Phase 0 context** (if available):
- Read `.workflow/active/WFS-{session-id}/.process/context-package.json`
- Extract: tech_stack, existing modules, conflict_risk, relevant files
1. Load Phase 0 context (tech_stack, modules, conflict_risk)
2. Deep topic analysis (entities, challenges, constraints, metrics)
3. Generate 2-4 context-aware probing questions
4. AskUserQuestion → Store to `session.intent_context`
2. **Deep topic analysis** (context-aware):
- Extract technical entities from topic + existing codebase
- Identify core challenges considering existing architecture
- Consider constraints (timeline/budget/compliance)
- Define success metrics based on current project state
3. **Generate 2-4 context-aware probing questions**:
- Reference existing tech stack in questions
- Consider integration with existing modules
- Address identified conflict risks from Phase 0
- Target root challenges and trade-off priorities
4. **User interaction**: Output questions using text format (see User Interaction Protocol), wait for user input
5. **Parse user answers**: Use intelligent parsing to extract answers from user input (support multiple formats)
6. **Storage**: Store answers to `session.intent_context` with `{extracted_keywords, identified_challenges, user_answers, project_context_used}`
**Example Output**:
```markdown
===== Phase 1: 项目意图分析 =====
【问题1 - 核心挑战】实时协作平台的主要技术挑战?
a) 实时数据同步
说明100+用户同时在线,状态同步复杂度高
b) 可扩展性架构
说明:用户规模增长时的系统扩展能力
c) 冲突解决机制
说明:多用户同时编辑的冲突处理策略
【问题2 - 优先级】MVP阶段最关注的指标
a) 功能完整性
说明:实现所有核心功能
b) 用户体验
说明:流畅的交互体验和响应速度
c) 系统稳定性
说明:高可用性和数据一致性
请回答 (格式: 1a 2b)
**Example**:
```javascript
AskUserQuestion({
questions: [
{
question: "实时协作平台的主要技术挑战?",
header: "核心挑战",
multiSelect: false,
options: [
{ label: "实时数据同步", description: "100+用户同时在线,状态同步复杂度高" },
{ label: "可扩展性架构", description: "用户规模增长时的系统扩展能力" },
{ label: "冲突解决机制", description: "多用户同时编辑的冲突处理策略" }
]
},
{
question: "MVP阶段最关注的指标",
header: "优先级",
multiSelect: false,
options: [
{ label: "功能完整性", description: "实现所有核心功能" },
{ label: "用户体验", description: "流畅的交互体验和响应速度" },
{ label: "系统稳定性", description: "高可用性和数据一致性" }
]
}
]
})
```
**User input examples**:
- `1a 2c` → Q1:a, Q2:c
- `1a,2c` → Q1:a, Q2:c
**⚠️ CRITICAL**: Questions MUST reference topic keywords. Generic "Project type?" violates dynamic generation.
### Phase 2: Role Selection
**⚠️ CRITICAL**: User MUST interact to select roles. NEVER auto-select without user confirmation.
**Goal**: User selects roles from intelligent recommendations
**Available Roles**:
- data-architect (数据架构师)
- product-manager (产品经理)
- product-owner (产品负责人)
- scrum-master (敏捷教练)
- subject-matter-expert (领域专家)
- system-architect (系统架构师)
- test-strategist (测试策略师)
- ui-designer (UI 设计师)
- ux-expert (UX 专家)
**Available Roles**: data-architect, product-manager, product-owner, scrum-master, subject-matter-expert, system-architect, test-strategist, ui-designer, ux-expert
**Steps**:
1. **Intelligent role recommendation** (AI analysis):
- Analyze Phase 1 extracted keywords and challenges
- Use AI reasoning to determine most relevant roles for the specific topic
- Recommend count+2 roles (e.g., if user wants 3 roles, recommend 5 options)
- Provide clear rationale for each recommended role based on topic context
1. Analyze Phase 1 keywords → Recommend count+2 roles with rationale
2. AskUserQuestion (multiSelect=true) → Store to `session.selected_roles`
3. If count+2 > 4, split into multiple rounds
2. **User selection** (text interaction):
- Output all recommended roles at once (no batching needed for count+2 roles)
- Display roles with labels and relevance rationale
- Wait for user input in multi-select format
- Parse user input (support multiple formats)
- **Storage**: Store selections to `session.selected_roles`
**Example Output**:
```markdown
===== Phase 2: 角色选择 =====
【角色选择】请选择 3 个角色参与头脑风暴分析
a) system-architect (系统架构师)
推荐理由:实时同步架构设计和技术选型的核心角色
b) ui-designer (UI设计师)
推荐理由:协作界面用户体验和实时状态展示
c) product-manager (产品经理)
推荐理由功能优先级和MVP范围决策
d) data-architect (数据架构师)
推荐理由:数据同步模型和存储方案设计
e) ux-expert (UX专家)
推荐理由:多用户协作交互流程优化
支持格式:
- 分别选择2a 2c 2d (选择a、c、d)
- 合并语法2acd (选择a、c、d)
- 逗号分隔2a,c,d (选择a、c、d)
请输入选择:
**Example**:
```javascript
AskUserQuestion({
questions: [{
question: "请选择 3 个角色参与头脑风暴分析",
header: "角色选择",
multiSelect: true,
options: [
{ label: "system-architect", description: "实时同步架构设计和技术选型" },
{ label: "ui-designer", description: "协作界面用户体验和状态展示" },
{ label: "product-manager", description: "功能优先级和MVP范围决策" },
{ label: "data-architect", description: "数据同步模型和存储方案设计" }
]
}]
})
```
**User input examples**:
- `2acd` → Roles: a, c, d (system-architect, product-manager, data-architect)
- `2a 2c 2d` → Same result
- `2a,c,d` → Same result
**⚠️ CRITICAL**: User MUST interact. NEVER auto-select without confirmation.
**Role Recommendation Rules**:
- NO hardcoded keyword-to-role mappings
- Use intelligent analysis of topic, challenges, and requirements
- Consider role synergies and coverage gaps
- Explain WHY each role is relevant to THIS specific topic
- Default recommendation: count+2 roles for user to choose from
### Phase 3: Role-Specific Questions (Dynamic Generation)
### Phase 3: Role-Specific Questions
**Goal**: Generate deep questions mapping role expertise to Phase 1 challenges
**Algorithm**:
```
FOR each selected role:
1. Map Phase 1 challenges to role domain:
- "real-time sync" + system-architect → State management pattern
- "100 users" + system-architect → Communication protocol
- "low latency" + system-architect → Conflict resolution
1. FOR each selected role:
- Map Phase 1 challenges to role domain
- Generate 3-4 questions (implementation depth, trade-offs, edge cases)
- AskUserQuestion per role → Store to `session.role_decisions[role]`
2. Process roles sequentially (one at a time for clarity)
3. If role needs > 4 questions, split into multiple rounds
2. Generate 3-4 questions per role probing implementation depth, trade-offs, edge cases:
Q: "How handle real-time state sync for 100+ users?" (explores approach)
Q: "How resolve conflicts when 2 users edit simultaneously?" (explores edge case)
Options: [Event Sourcing/Centralized/CRDT] (concrete, explain trade-offs for THIS use case)
3. Output questions in text format per role:
- Display all questions for current role (3-4 questions, no 10-question limit)
- Questions in Chinese (用中文提问)
- Wait for user input
- Parse answers using intelligent parsing
- Store answers to session.role_decisions[role]
**Example** (system-architect):
```javascript
AskUserQuestion({
questions: [
{
question: "100+ 用户实时状态同步方案?",
header: "状态同步",
multiSelect: false,
options: [
{ label: "Event Sourcing", description: "完整事件历史,支持回溯,存储成本高" },
{ label: "集中式状态管理", description: "实现简单,单点瓶颈风险" },
{ label: "CRDT", description: "去中心化,自动合并,学习曲线陡" }
]
},
{
question: "两个用户同时编辑冲突如何解决?",
header: "冲突解决",
multiSelect: false,
options: [
{ label: "自动合并", description: "用户无感知,可能产生意外结果" },
{ label: "手动解决", description: "用户控制,增加交互复杂度" },
{ label: "版本控制", description: "保留历史,需要分支管理" }
]
}
]
})
```
**Batching Strategy**:
- Each role outputs all its questions at once (typically 3-4 questions)
- No need to split per role (within 10-question batch limit)
- Multiple roles processed sequentially (one role at a time for clarity)
### Phase 4: Conflict Resolution
**Output Format**: Follow standard format from "User Interaction Protocol" section (single-choice question format)
**Example Topic-Specific Questions** (system-architect role for "real-time collaboration platform"):
- "100+ 用户实时状态同步方案?" → Options: Event Sourcing / 集中式状态管理 / CRDT
- "两个用户同时编辑冲突如何解决?" → Options: 自动合并 / 手动解决 / 版本控制
- "低延迟通信协议选择?" → Options: WebSocket / SSE / 轮询
- "系统扩展性架构方案?" → Options: 微服务 / 单体+缓存 / Serverless
**Quality Requirements**: See "Question Generation Guidelines" section for detailed rules
### Phase 4: Cross-Role Clarification (Conflict Detection)
**Goal**: Resolve ACTUAL conflicts from Phase 3 answers, not pre-defined relationships
**Goal**: Resolve ACTUAL conflicts from Phase 3 answers
**Algorithm**:
```
1. Analyze Phase 3 answers for conflicts:
- Contradictory choices: product-manager "fast iteration" vs system-architect "complex Event Sourcing"
- Missing integration: ui-designer "Optimistic updates" but system-architect didn't address conflict handling
- Implicit dependencies: ui-designer "Live cursors" but no auth approach defined
2. FOR each detected conflict:
Generate clarification questions referencing SPECIFIC Phase 3 choices
3. Output clarification questions in text format:
- Batch conflicts into rounds (max 10 questions per round)
- Display questions with context from Phase 3 answers
- Questions in Chinese (用中文提问)
- Wait for user input
- Parse answers using intelligent parsing
- Store answers to session.cross_role_decisions
- Contradictory choices (e.g., "fast iteration" vs "complex Event Sourcing")
- Missing integration (e.g., "Optimistic updates" but no conflict handling)
- Implicit dependencies (e.g., "Live cursors" but no auth defined)
2. Generate clarification questions referencing SPECIFIC Phase 3 choices
3. AskUserQuestion (max 4 per call, multi-round) → Store to `session.cross_role_decisions`
4. If NO conflicts: Skip Phase 4 (inform user: "未检测到跨角色冲突跳过Phase 4")
**Example**:
```javascript
AskUserQuestion({
questions: [{
question: "CRDT 与 UI 回滚期望冲突,如何解决?\n背景system-architect选择CRDTui-designer期望回滚UI",
header: "架构冲突",
multiSelect: false,
options: [
{ label: "采用 CRDT", description: "保持去中心化调整UI期望" },
{ label: "显示合并界面", description: "增加用户交互,展示冲突详情" },
{ label: "切换到 OT", description: "支持回滚,增加服务器复杂度" }
]
}]
})
```
**Batching Strategy**:
- Maximum 10 clarification questions per round
- If conflicts > 10, split into multiple rounds
- Prioritize most critical conflicts first
### Phase 4.5: Final Clarification
**Output Format**: Follow standard format from "User Interaction Protocol" section (single-choice question format with background context)
**Example Conflict Detection** (from Phase 3 answers):
- **Architecture Conflict**: "CRDT 与 UI 回滚期望冲突,如何解决?"
- Background: system-architect chose CRDT, ui-designer expects rollback UI
- Options: 采用 CRDT / 显示合并界面 / 切换到 OT
- **Integration Gap**: "实时光标功能缺少身份认证方案"
- Background: ui-designer chose live cursors, no auth defined
- Options: OAuth 2.0 / JWT Token / Session-based
**Quality Requirements**: See "Question Generation Guidelines" section for conflict-specific rules
### Phase 5: Generate Guidance Specification
**Purpose**: Ensure no important points missed before generating specification
**Steps**:
1. Load all decisions: `intent_context` + `selected_roles` + `role_decisions` + `cross_role_decisions`
2. Transform Q&A pairs to declarative: Questions → Headers, Answers → CONFIRMED/SELECTED statements
3. Generate guidance-specification.md (template below) - **PRIMARY OUTPUT FILE**
4. Update workflow-session.json with **METADATA ONLY**:
- session_id (e.g., "WFS-topic-slug")
- selected_roles[] (array of role names, e.g., ["system-architect", "ui-designer", "product-manager"])
- topic (original user input string)
- timestamp (ISO-8601 format)
- phase_completed: "artifacts"
- count_parameter (number from --count flag)
5. Validate: No interrogative sentences in .md file, all decisions traceable, no content duplication in .json
1. Ask initial check:
```javascript
AskUserQuestion({
questions: [{
question: "在生成最终规范之前,是否有前面未澄清的重点需要补充?",
header: "补充确认",
multiSelect: false,
options: [
{ label: "无需补充", description: "前面的讨论已经足够完整" },
{ label: "需要补充", description: "还有重要内容需要澄清" }
]
}]
})
```
2. If "需要补充":
- Analyze user's additional points
- Generate progressive questions (not role-bound, interconnected)
- AskUserQuestion (max 4 per round) → Store to `session.additional_decisions`
- Repeat until user confirms completion
3. If "无需补充": Proceed to Phase 5
**⚠️ CRITICAL OUTPUT SEPARATION**:
- **guidance-specification.md**: Full guidance content (decisions, rationale, integration points)
- **workflow-session.json**: Session metadata ONLY (no guidance content, no decisions, no Q&A pairs)
- **NO content duplication**: Guidance stays in .md, metadata stays in .json
**Progressive Pattern**: Questions interconnected, each round informs next, continue until resolved.
## Output Document Template
### Phase 5: Generate Specification
**Steps**:
1. Load all decisions: `intent_context` + `selected_roles` + `role_decisions` + `cross_role_decisions` + `additional_decisions`
2. Transform Q&A to declarative: Questions → Headers, Answers → CONFIRMED/SELECTED statements
3. Generate `guidance-specification.md`
4. Update `workflow-session.json` (metadata only)
5. Validate: No interrogative sentences, all decisions traceable
---
## Question Guidelines
### Core Principle
**Target**: 开发者(理解技术但需要从用户需求出发)
**Question Structure**: `[业务场景/需求前提] + [技术关注点]`
**Option Structure**: `标签:[技术方案] + 说明:[业务影响] + [技术权衡]`
### Quality Rules
**MUST Include**:
- ✅ All questions in Chinese (用中文提问)
- ✅ 业务场景作为问题前提
- ✅ 技术选项的业务影响说明
- ✅ 量化指标和约束条件
**MUST Avoid**:
- ❌ 纯技术选型无业务上下文
- ❌ 过度抽象的用户体验问题
- ❌ 脱离话题的通用架构问题
### Phase-Specific Requirements
| Phase | Focus | Key Requirements |
|-------|-------|------------------|
| 1 | 意图理解 | Reference topic keywords, 用户场景、业务约束、优先级 |
| 2 | 角色推荐 | Intelligent analysis (NOT keyword mapping), explain relevance |
| 3 | 角色问题 | Reference Phase 1 keywords, concrete options with trade-offs |
| 4 | 冲突解决 | Reference SPECIFIC Phase 3 choices, explain impact on both roles |
---
## Output & Governance
### Output Template
**File**: `.workflow/active/WFS-{topic}/.brainstorming/guidance-specification.md`
@@ -478,9 +386,9 @@ FOR each selected role:
## Next Steps
**⚠️ Automatic Continuation** (when called from auto-parallel):
- auto-parallel will assign agents to generate role-specific analysis documents
- Each selected role gets dedicated conceptual-planning-agent
- Agents read this guidance-specification.md for framework context
- auto-parallel assigns agents for role-specific analysis
- Each selected role gets conceptual-planning-agent
- Agents read this guidance-specification.md for context
## Appendix: Decision Tracking
| Decision ID | Category | Question | Selected | Phase | Rationale |
@@ -490,95 +398,19 @@ FOR each selected role:
| D-003+ | [Role] | [Q] | [A] | 3 | [Why] |
```
## Question Generation Guidelines
### Core Principle: Developer-Facing Questions with User Context
**Target Audience**: 开发者(理解技术但需要从用户需求出发)
**Generation Philosophy**:
1. **Phase 1**: 用户场景、业务约束、优先级(建立上下文)
2. **Phase 2**: 基于话题分析的智能角色推荐(非关键词映射)
3. **Phase 3**: 业务需求 + 技术选型(需求驱动的技术决策)
4. **Phase 4**: 技术冲突的业务权衡(帮助开发者理解影响)
### Universal Quality Rules
**Question Structure** (all phases):
```
[业务场景/需求前提] + [技术关注点]
```
**Option Structure** (all phases):
```
标签:[技术方案简称] + (业务特征)
说明:[业务影响] + [技术权衡]
```
**MUST Include** (all phases):
- ✅ All questions in Chinese (用中文提问)
- ✅ 业务场景作为问题前提
- ✅ 技术选项的业务影响说明
- ✅ 量化指标和约束条件
**MUST Avoid** (all phases):
- ❌ 纯技术选型无业务上下文
- ❌ 过度抽象的用户体验问题
- ❌ 脱离话题的通用架构问题
### Phase-Specific Requirements
**Phase 1 Requirements**:
- Questions MUST reference topic keywords (NOT generic "Project type?")
- Focus: 用户使用场景(谁用?怎么用?多频繁?)、业务约束(预算、时间、团队、合规)
- Success metrics: 性能指标、用户体验目标
- Priority ranking: MVP vs 长期规划
**Phase 3 Requirements**:
- Questions MUST reference Phase 1 keywords (e.g., "real-time", "100 users")
- Options MUST be concrete approaches with relevance to topic
- Each option includes trade-offs specific to this use case
- Include 业务需求驱动的技术问题、量化指标(并发数、延迟、可用性)
**Phase 4 Requirements**:
- Questions MUST reference SPECIFIC Phase 3 choices in background context
- Options address the detected conflict directly
- Each option explains impact on both conflicting roles
- NEVER use static "Cross-Role Matrix" - ALWAYS analyze actual Phase 3 answers
- Focus: 技术冲突的业务权衡、帮助开发者理解不同选择的影响
## Validation Checklist
Generated guidance-specification.md MUST:
- ✅ No interrogative sentences (use CONFIRMED/SELECTED)
- ✅ Every decision traceable to user answer
- ✅ Cross-role conflicts resolved or documented
- ✅ Next steps concrete and specific
- ✅ All Phase 1-4 decisions in session metadata
## Update Mechanism
### File Structure
```
IF guidance-specification.md EXISTS:
Prompt: "Regenerate completely / Update sections / Cancel"
ELSE:
Run full Phase 1-5 flow
.workflow/active/WFS-[topic]/
├── workflow-session.json # Metadata ONLY
├── .process/
│ └── context-package.json # Phase 0 output
└── .brainstorming/
└── guidance-specification.md # Full guidance content
```
## Governance Rules
### Session Metadata
**Output Requirements**:
- All decisions MUST use CONFIRMED/SELECTED (NO "?" in decision sections)
- Every decision MUST trace to user answer
- Conflicts MUST be resolved (not marked "TBD")
- Next steps MUST be actionable
- Topic preserved as authoritative reference in session
**CRITICAL**: Guidance is single source of truth for downstream phases. Ambiguity violates governance.
## Storage Validation
**workflow-session.json** (metadata only):
```json
{
"session_id": "WFS-{topic-slug}",
@@ -591,14 +423,31 @@ ELSE:
}
```
**⚠️ Rule**: Session JSON stores ONLY metadata (session_id, selected_roles[], topic, timestamps). All guidance content goes to guidance-specification.md.
**⚠️ Rule**: Session JSON stores ONLY metadata. All guidance content goes to guidance-specification.md.
## File Structure
### Validation Checklist
- ✅ No interrogative sentences (use CONFIRMED/SELECTED)
- ✅ Every decision traceable to user answer
- ✅ Cross-role conflicts resolved or documented
- ✅ Next steps concrete and specific
- ✅ No content duplication between .json and .md
### Update Mechanism
```
.workflow/active/WFS-[topic]/
├── workflow-session.json # Session metadata ONLY
└── .brainstorming/
└── guidance-specification.md # Full guidance content
IF guidance-specification.md EXISTS:
Prompt: "Regenerate completely / Update sections / Cancel"
ELSE:
Run full Phase 0-5 flow
```
### Governance Rules
- All decisions MUST use CONFIRMED/SELECTED (NO "?" in decision sections)
- Every decision MUST trace to user answer
- Conflicts MUST be resolved (not marked "TBD")
- Next steps MUST be actionable
- Topic preserved as authoritative reference
**CRITICAL**: Guidance is single source of truth for downstream phases. Ambiguity violates governance.

View File

@@ -9,11 +9,11 @@ allowed-tools: SlashCommand(*), Task(*), TodoWrite(*), Read(*), Write(*), Bash(*
## Coordinator Role
**This command is a pure orchestrator**: Execute 3 phases in sequence (interactive framework → parallel role analysis → synthesis), coordinating specialized commands/agents through task attachment model.
**This command is a pure orchestrator**: Dispatches 3 phases in sequence (interactive framework → parallel role analysis → synthesis), coordinating specialized commands/agents through task attachment model.
**Task Attachment Model**:
- SlashCommand invocation **expands workflow** by attaching sub-tasks to current TodoWrite
- Task agent execution **attaches analysis tasks** to orchestrator's TodoWrite
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- Task agent dispatch **attaches analysis tasks** to orchestrator's TodoWrite
- Phase 1: artifacts command attaches its internal tasks (Phase 1-5)
- Phase 2: N conceptual-planning-agent tasks attached in parallel
- Phase 3: synthesis command attaches its internal tasks
@@ -26,9 +26,9 @@ allowed-tools: SlashCommand(*), Task(*), TodoWrite(*), Read(*), Write(*), Bash(*
This workflow runs **fully autonomously** once triggered. Phase 1 (artifacts) handles user interaction, Phase 2 (role agents) runs in parallel.
1. **User triggers**: `/workflow:brainstorm:auto-parallel "topic" [--count N]`
2. **Phase 1 executes** → artifacts command (tasks ATTACHED) → Auto-continues
3. **Phase 2 executes** → Parallel role agents (N tasks ATTACHED concurrently) → Auto-continues
4. **Phase 3 executes** → Synthesis command (tasks ATTACHED) → Reports final summary
2. **Dispatch Phase 1** → artifacts command (tasks ATTACHED) → Auto-continues
3. **Dispatch Phase 2** → Parallel role agents (N tasks ATTACHED concurrently) → Auto-continues
4. **Dispatch Phase 3** → Synthesis command (tasks ATTACHED) → Reports final summary
**Auto-Continue Mechanism**:
- TodoList tracks current phase status and dynamically manages task attachment/collapse
@@ -38,13 +38,13 @@ This workflow runs **fully autonomously** once triggered. Phase 1 (artifacts) ha
## Core Rules
1. **Start Immediately**: First action is TodoWrite initialization, second action is Phase 1 command execution
1. **Start Immediately**: First action is TodoWrite initialization, second action is dispatch Phase 1 command
2. **No Preliminary Analysis**: Do not analyze topic before Phase 1 - artifacts handles all analysis
3. **Parse Every Output**: Extract selected_roles from workflow-session.json after Phase 1
4. **Auto-Continue via TodoList**: Check TodoList status to execute next pending phase automatically
4. **Auto-Continue via TodoList**: Check TodoList status to dispatch next pending phase automatically
5. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
6. **Task Attachment Model**: SlashCommand and Task invocations **attach** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
7. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and execute next phase
6. **Task Attachment Model**: SlashCommand and Task dispatches **attach** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
7. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and dispatch next phase
8. **Parallel Execution**: Phase 2 attaches multiple agent tasks simultaneously for concurrent execution
## Usage
@@ -67,7 +67,11 @@ This workflow runs **fully autonomously** once triggered. Phase 1 (artifacts) ha
### Phase 1: Interactive Framework Generation
**Command**: `SlashCommand(command="/workflow:brainstorm:artifacts \"{topic}\" --count {N}")`
**Step 1: Dispatch** - Interactive framework generation via artifacts command
```javascript
SlashCommand(command="/workflow:brainstorm:artifacts \"{topic}\" --count {N}")
```
**What It Does**:
- Topic analysis: Extract challenges, generate task-specific questions
@@ -87,31 +91,32 @@ This workflow runs **fully autonomously** once triggered. Phase 1 (artifacts) ha
- workflow-session.json contains selected_roles[] (metadata only, no content duplication)
- Session directory `.workflow/active/WFS-{topic}/.brainstorming/` exists
**TodoWrite Update (Phase 1 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 1 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1.1: Topic analysis and question generation (artifacts)", "status": "in_progress", "activeForm": "Analyzing topic"},
{"content": "Phase 1.2: Role selection and user confirmation (artifacts)", "status": "pending", "activeForm": "Selecting roles"},
{"content": "Phase 1.3: Role questions and user decisions (artifacts)", "status": "pending", "activeForm": "Collecting role questions"},
{"content": "Phase 1.4: Conflict detection and resolution (artifacts)", "status": "pending", "activeForm": "Resolving conflicts"},
{"content": "Phase 1.5: Guidance specification generation (artifacts)", "status": "pending", "activeForm": "Generating guidance"},
{"content": "Execute parallel role analysis", "status": "pending", "activeForm": "Executing parallel role analysis"},
{"content": "Execute synthesis integration", "status": "pending", "activeForm": "Executing synthesis integration"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "in_progress", "activeForm": "Executing artifacts interactive framework"},
{"content": " → Topic analysis and question generation", "status": "in_progress", "activeForm": "Analyzing topic"},
{"content": " Role selection and user confirmation", "status": "pending", "activeForm": "Selecting roles"},
{"content": " → Role questions and user decisions", "status": "pending", "activeForm": "Collecting role questions"},
{"content": " → Conflict detection and resolution", "status": "pending", "activeForm": "Resolving conflicts"},
{"content": " → Guidance specification generation", "status": "pending", "activeForm": "Generating guidance"},
{"content": "Phase 2: Parallel Role Analysis", "status": "pending", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "pending", "activeForm": "Executing synthesis integration"}
]
```
**Note**: SlashCommand invocation **attaches** artifacts' 5 internal tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand dispatch **attaches** artifacts' 5 internal tasks. Orchestrator **executes** these tasks sequentially.
**Next Action**: Tasks attached → **Execute Phase 1.1-1.5** sequentially
**TodoWrite Update (Phase 1 completed - tasks collapsed)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Execute artifacts interactive framework generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Execute parallel role analysis", "status": "pending", "activeForm": "Executing parallel role analysis"},
{"content": "Execute synthesis integration", "status": "pending", "activeForm": "Executing synthesis integration"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2: Parallel Role Analysis", "status": "pending", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "pending", "activeForm": "Executing synthesis integration"}
]
```
@@ -136,26 +141,10 @@ OUTPUT_LOCATION: .workflow/active/WFS-{session}/.brainstorming/{role}/
TOPIC: {user-provided-topic}
## Flow Control Steps
1. **load_topic_framework**
- Action: Load structured topic discussion framework
- Command: Read(.workflow/active/WFS-{session}/.brainstorming/guidance-specification.md)
- Output: topic_framework_content
2. **load_role_template**
- Action: Load {role-name} planning template
- Command: Read(~/.claude/workflows/cli-templates/planning-roles/{role}.md)
- Output: role_template_guidelines
3. **load_session_metadata**
- Action: Load session metadata and original user intent
- Command: Read(.workflow/active/WFS-{session}/workflow-session.json)
- Output: session_context (contains original user prompt as PRIMARY reference)
4. **load_style_skill** (ONLY for ui-designer role when style_skill_package exists)
- Action: Load style SKILL package for design system reference
- Command: Read(.claude/skills/style-{style_skill_package}/SKILL.md) AND Read(.workflow/reference_style/{style_skill_package}/design-tokens.json)
- Output: style_skill_content, design_tokens
- Usage: Apply design tokens in ui-designer analysis and artifacts
1. load_topic_framework → .workflow/active/WFS-{session}/.brainstorming/guidance-specification.md
2. load_role_template → ~/.claude/workflows/cli-templates/planning-roles/{role}.md
3. load_session_metadata → .workflow/active/WFS-{session}/workflow-session.json
4. load_style_skill (ui-designer only, if style_skill_package) → .claude/skills/style-{style_skill_package}/
## Analysis Requirements
**Primary Reference**: Original user prompt from workflow-session.json is authoritative
@@ -165,13 +154,9 @@ TOPIC: {user-provided-topic}
**Template Integration**: Apply role template guidelines within framework structure
## Expected Deliverables
1. **analysis.md**: Comprehensive {role-name} analysis addressing all framework discussion points
- **File Naming**: MUST start with `analysis` prefix (e.g., `analysis.md`, `analysis-1.md`, `analysis-2.md`)
- **FORBIDDEN**: Never use `recommendations.md` or any filename not starting with `analysis`
- **Auto-split if large**: If content >800 lines, split to `analysis-1.md`, `analysis-2.md` (max 3 files: analysis.md, analysis-1.md, analysis-2.md)
- **Content**: Includes both analysis AND recommendations sections within analysis files
2. **Framework Reference**: Include @../guidance-specification.md reference in analysis
3. **User Intent Alignment**: Validate analysis aligns with original user objectives from session_context
1. **analysis.md** (optionally with analysis-{slug}.md sub-documents)
2. **Framework Reference**: @../guidance-specification.md
3. **User Intent Alignment**: Validate against session_context
## Completion Criteria
- Address each discussion point from guidance-specification.md with {role-name} expertise
@@ -182,7 +167,7 @@ TOPIC: {user-provided-topic}
"
```
**Parallel Execution**:
**Parallel Dispatch**:
- Launch N agents simultaneously (one message with multiple Task calls)
- Each agent task **attached** to orchestrator's TodoWrite
- All agents execute concurrently, each attaching their own analysis sub-tasks
@@ -194,35 +179,36 @@ TOPIC: {user-provided-topic}
- guidance-specification.md path
**Validation**:
- Each role creates `.workflow/active/WFS-{topic}/.brainstorming/{role}/analysis.md` (primary file)
- If content is large (>800 lines), may split to `analysis-1.md`, `analysis-2.md` (max 3 files total)
- **File naming pattern**: ALL files MUST start with `analysis` prefix (use `analysis*.md` for globbing)
- **FORBIDDEN naming**: No `recommendations.md`, `recommendations-*.md`, or any non-`analysis` prefixed files
- Each role creates `.workflow/active/WFS-{topic}/.brainstorming/{role}/analysis.md`
- Optionally with `analysis-{slug}.md` sub-documents (max 5)
- **File pattern**: `analysis*.md` for globbing
- **FORBIDDEN**: `recommendations.md` or any non-`analysis` prefixed files
- All N role analyses completed
**TodoWrite Update (Phase 2 agents invoked - tasks attached in parallel)**:
**TodoWrite Update (Phase 2 agents dispatched - tasks attached in parallel)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Execute artifacts interactive framework generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2.1: Execute system-architect analysis [conceptual-planning-agent]", "status": "in_progress", "activeForm": "Executing system-architect analysis"},
{"content": "Phase 2.2: Execute ui-designer analysis [conceptual-planning-agent]", "status": "in_progress", "activeForm": "Executing ui-designer analysis"},
{"content": "Phase 2.3: Execute product-manager analysis [conceptual-planning-agent]", "status": "in_progress", "activeForm": "Executing product-manager analysis"},
{"content": "Execute synthesis integration", "status": "pending", "activeForm": "Executing synthesis integration"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2: Parallel Role Analysis", "status": "in_progress", "activeForm": "Executing parallel role analysis"},
{"content": " → Execute system-architect analysis", "status": "in_progress", "activeForm": "Executing system-architect analysis"},
{"content": " → Execute ui-designer analysis", "status": "in_progress", "activeForm": "Executing ui-designer analysis"},
{"content": "Execute product-manager analysis", "status": "in_progress", "activeForm": "Executing product-manager analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "pending", "activeForm": "Executing synthesis integration"}
]
```
**Note**: Multiple Task invocations **attach** N role analysis tasks simultaneously. Orchestrator **executes** these tasks in parallel.
**Note**: Multiple Task dispatches **attach** N role analysis tasks simultaneously. Orchestrator **executes** these tasks in parallel.
**Next Action**: Tasks attached → **Execute Phase 2.1-2.N** concurrently
**TodoWrite Update (Phase 2 completed - tasks collapsed)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Execute artifacts interactive framework generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Execute parallel role analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Execute synthesis integration", "status": "pending", "activeForm": "Executing synthesis integration"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2: Parallel Role Analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "pending", "activeForm": "Executing synthesis integration"}
]
```
@@ -234,7 +220,11 @@ TOPIC: {user-provided-topic}
### Phase 3: Synthesis Generation
**Command**: `SlashCommand(command="/workflow:brainstorm:synthesis --session {sessionId}")`
**Step 3: Dispatch** - Synthesis integration via synthesis command
```javascript
SlashCommand(command="/workflow:brainstorm:synthesis --session {sessionId}")
```
**What It Does**:
- Load original user intent from workflow-session.json
@@ -248,29 +238,30 @@ TOPIC: {user-provided-topic}
- `.workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.md` exists
- Synthesis references all role analyses
**TodoWrite Update (Phase 3 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Execute artifacts interactive framework generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Execute parallel role analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3.1: Load role analysis files (synthesis)", "status": "in_progress", "activeForm": "Loading role analyses"},
{"content": "Phase 3.2: Integrate insights across roles (synthesis)", "status": "pending", "activeForm": "Integrating insights"},
{"content": "Phase 3.3: Generate synthesis specification (synthesis)", "status": "pending", "activeForm": "Generating synthesis"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2: Parallel Role Analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "in_progress", "activeForm": "Executing synthesis integration"},
{"content": " → Load role analysis files", "status": "in_progress", "activeForm": "Loading role analyses"},
{"content": " → Integrate insights across roles", "status": "pending", "activeForm": "Integrating insights"},
{"content": " → Generate synthesis specification", "status": "pending", "activeForm": "Generating synthesis"}
]
```
**Note**: SlashCommand invocation **attaches** synthesis' internal tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand dispatch **attaches** synthesis' internal tasks. Orchestrator **executes** these tasks sequentially.
**Next Action**: Tasks attached → **Execute Phase 3.1-3.3** sequentially
**TodoWrite Update (Phase 3 completed - tasks collapsed)**:
```json
[
{"content": "Parse --count parameter from user input", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Execute artifacts interactive framework generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Execute parallel role analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Execute synthesis integration", "status": "completed", "activeForm": "Executing synthesis integration"}
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
{"content": "Phase 1: Interactive Framework Generation", "status": "completed", "activeForm": "Executing artifacts interactive framework"},
{"content": "Phase 2: Parallel Role Analysis", "status": "completed", "activeForm": "Executing parallel role analysis"},
{"content": "Phase 3: Synthesis Integration", "status": "completed", "activeForm": "Executing synthesis integration"}
]
```
@@ -293,7 +284,7 @@ Synthesis: .workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.m
### Key Principles
1. **Task Attachment** (when SlashCommand/Task invoked):
1. **Task Attachment** (when SlashCommand/Task dispatched):
- Sub-command's or agent's internal tasks are **attached** to orchestrator's TodoWrite
- Phase 1: `/workflow:brainstorm:artifacts` attaches 5 internal tasks (Phase 1.1-1.5)
- Phase 2: Multiple `Task(conceptual-planning-agent)` calls attach N role analysis tasks simultaneously
@@ -314,7 +305,7 @@ Synthesis: .workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.m
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**Lifecycle Summary**: Initial pending tasks → Phase 1 invoked (artifacts tasks ATTACHED) → Artifacts sub-tasks executed → Phase 1 completed (tasks COLLAPSED) → Phase 2 invoked (N role tasks ATTACHED in parallel) → Role analyses executed concurrently → Phase 2 completed (tasks COLLAPSED) → Phase 3 invoked (synthesis tasks ATTACHED) → Synthesis sub-tasks executed → Phase 3 completed (tasks COLLAPSED) → Workflow complete.
**Lifecycle Summary**: Initial pending tasks → Phase 1 dispatched (artifacts tasks ATTACHED) → Artifacts sub-tasks executed → Phase 1 completed (tasks COLLAPSED) → Phase 2 dispatched (N role tasks ATTACHED in parallel) → Role analyses executed concurrently → Phase 2 completed (tasks COLLAPSED) → Phase 3 dispatched (synthesis tasks ATTACHED) → Synthesis sub-tasks executed → Phase 3 completed (tasks COLLAPSED) → Workflow complete.
### Brainstorming Workflow Specific Features
@@ -324,14 +315,6 @@ Synthesis: .workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.m
- **Dynamic Role Count**: `--count N` parameter determines number of Phase 2 parallel tasks (default: 3, max: 9)
- **Mixed Execution**: Sequential (Phase 1, 3) and Parallel (Phase 2) task execution
**Benefits**:
- Real-time visibility into attached tasks during execution
- Clean orchestrator-level summary after tasks complete
- Clear mental model: SlashCommand/Task = attach tasks, not delegate work
- Parallel execution support for concurrent role analysis
- Dynamic attachment/collapse maintains clarity
**Note**: See individual Phase descriptions (Phase 1, 2, 3) for detailed TodoWrite Update examples with full JSON structures.
## Input Processing
@@ -450,12 +433,9 @@ CONTEXT_VARS:
├── workflow-session.json # Session metadata ONLY
└── .brainstorming/
├── guidance-specification.md # Framework (Phase 1)
├── {role-1}/
── analysis.md # Role analysis (Phase 2)
├── {role-2}/
│ └── analysis.md
├── {role-N}/
│ └── analysis.md
├── {role}/
── analysis.md # Main document (with optional @references)
│ └── analysis-{slug}.md # Section documents (max 5)
└── synthesis-specification.md # Integration (Phase 3)
```

View File

@@ -2,325 +2,318 @@
name: synthesis
description: Clarify and refine role analyses through intelligent Q&A and targeted updates with synthesis agent
argument-hint: "[optional: --session session-id]"
allowed-tools: Task(conceptual-planning-agent), TodoWrite(*), Read(*), Write(*), Edit(*), Glob(*)
allowed-tools: Task(conceptual-planning-agent), TodoWrite(*), Read(*), Write(*), Edit(*), Glob(*), AskUserQuestion(*)
---
## Overview
Three-phase workflow to eliminate ambiguities and enhance conceptual depth in role analyses:
Six-phase workflow to eliminate ambiguities and enhance conceptual depth in role analyses:
**Phase 1-2 (Main Flow)**: Session detection → File discovery → Path preparation
**Phase 1-2**: Session detection → File discovery → Path preparation
**Phase 3A**: Cross-role analysis agent → Generate recommendations
**Phase 4**: User selects enhancements → User answers clarifications (via AskUserQuestion)
**Phase 5**: Parallel update agents (one per role)
**Phase 6**: Context package update → Metadata update → Completion report
**Phase 3A (Analysis Agent)**: Cross-role analysis → Generate recommendations
**Phase 4 (Main Flow)**: User selects enhancements → User answers clarifications → Build update plan
**Phase 5 (Parallel Update Agents)**: Each agent updates ONE role document → Parallel execution
**Phase 6 (Main Flow)**: Metadata update → Completion report
**Key Features**:
- Multi-agent architecture (analysis agent + parallel update agents)
- Clear separation: Agent analysis vs Main flow interaction
- Parallel document updates (one agent per role)
- User intent alignment validation
All user interactions use AskUserQuestion tool (max 4 questions per call, multi-round).
**Document Flow**:
- Input: `[role]/analysis*.md`, `guidance-specification.md`, session metadata
- Output: Updated `[role]/analysis*.md` with Enhancements + Clarifications sections
---
## Quick Reference
### Phase Summary
| Phase | Goal | Executor | Output |
|-------|------|----------|--------|
| 1 | Session detection | Main flow | session_id, brainstorm_dir |
| 2 | File discovery | Main flow | role_analysis_paths |
| 3A | Cross-role analysis | Agent | enhancement_recommendations |
| 4 | User interaction | Main flow + AskUserQuestion | update_plan |
| 5 | Document updates | Parallel agents | Updated analysis*.md |
| 6 | Finalization | Main flow | context-package.json, report |
### AskUserQuestion Pattern
```javascript
// Enhancement selection (multi-select)
AskUserQuestion({
questions: [{
question: "请选择要应用的改进建议",
header: "改进选择",
multiSelect: true,
options: [
{ label: "EP-001: API Contract", description: "添加详细的请求/响应 schema 定义" },
{ label: "EP-002: User Intent", description: "明确用户需求优先级和验收标准" }
]
}]
})
// Clarification questions (single-select, multi-round)
AskUserQuestion({
questions: [
{
question: "MVP 阶段的核心目标是什么?",
header: "用户意图",
multiSelect: false,
options: [
{ label: "快速验证", description: "最小功能集,快速上线获取反馈" },
{ label: "技术壁垒", description: "完善架构,为长期发展打基础" },
{ label: "功能完整", description: "覆盖所有规划功能,延迟上线" }
]
}
]
})
```
---
## Task Tracking
```json
[
{"content": "Detect session and validate analyses", "status": "in_progress", "activeForm": "Detecting session"},
{"content": "Detect session and validate analyses", "status": "pending", "activeForm": "Detecting session"},
{"content": "Discover role analysis file paths", "status": "pending", "activeForm": "Discovering paths"},
{"content": "Execute analysis agent (cross-role analysis)", "status": "pending", "activeForm": "Executing analysis agent"},
{"content": "Present enhancements for user selection", "status": "pending", "activeForm": "Presenting enhancements"},
{"content": "Generate and present clarification questions", "status": "pending", "activeForm": "Clarifying with user"},
{"content": "Build update plan from user input", "status": "pending", "activeForm": "Building update plan"},
{"content": "Execute parallel update agents (one per role)", "status": "pending", "activeForm": "Updating documents in parallel"},
{"content": "Update session metadata and generate report", "status": "pending", "activeForm": "Finalizing session"}
{"content": "Execute analysis agent (cross-role analysis)", "status": "pending", "activeForm": "Executing analysis"},
{"content": "Present enhancements via AskUserQuestion", "status": "pending", "activeForm": "Selecting enhancements"},
{"content": "Clarification questions via AskUserQuestion", "status": "pending", "activeForm": "Clarifying"},
{"content": "Execute parallel update agents", "status": "pending", "activeForm": "Updating documents"},
{"content": "Update context package and metadata", "status": "pending", "activeForm": "Finalizing"}
]
```
---
## Execution Phases
### Phase 1: Discovery & Validation
1. **Detect Session**: Use `--session` parameter or find `.workflow/active/WFS-*` directories
1. **Detect Session**: Use `--session` parameter or find `.workflow/active/WFS-*`
2. **Validate Files**:
- `guidance-specification.md` (optional, warn if missing)
- `*/analysis*.md` (required, error if empty)
3. **Load User Intent**: Extract from `workflow-session.json` (project/description field)
3. **Load User Intent**: Extract from `workflow-session.json`
### Phase 2: Role Discovery & Path Preparation
**Main flow prepares file paths for Agent**:
1. **Discover Analysis Files**:
- Glob(.workflow/active/WFS-{session}/.brainstorming/*/analysis*.md)
- Supports: analysis.md, analysis-1.md, analysis-2.md, analysis-3.md
- Validate: At least one file exists (error if empty)
- Glob: `.workflow/active/WFS-{session}/.brainstorming/*/analysis*.md`
- Supports: analysis.md + analysis-{slug}.md (max 5)
2. **Extract Role Information**:
- `role_analysis_paths`: Relative paths from brainstorm_dir
- `participating_roles`: Role names extracted from directory paths
- `role_analysis_paths`: Relative paths
- `participating_roles`: Role names from directories
3. **Pass to Agent** (Phase 3):
- `session_id`
- `brainstorm_dir`: .workflow/active/WFS-{session}/.brainstorming/
- `role_analysis_paths`: ["product-manager/analysis.md", "system-architect/analysis-1.md", ...]
- `participating_roles`: ["product-manager", "system-architect", ...]
**Main Flow Responsibility**: File discovery and path preparation only (NO file content reading)
3. **Pass to Agent**: session_id, brainstorm_dir, role_analysis_paths, participating_roles
### Phase 3A: Analysis & Enhancement Agent
**First agent call**: Cross-role analysis and generate enhancement recommendations
**Agent executes cross-role analysis**:
```bash
Task(conceptual-planning-agent): "
```javascript
Task(conceptual-planning-agent, `
## Agent Mission
Analyze role documents, identify conflicts/gaps, and generate enhancement recommendations
Analyze role documents, identify conflicts/gaps, generate enhancement recommendations
## Input from Main Flow
- brainstorm_dir: {brainstorm_dir}
- role_analysis_paths: {role_analysis_paths}
- participating_roles: {participating_roles}
## Input
- brainstorm_dir: ${brainstorm_dir}
- role_analysis_paths: ${role_analysis_paths}
- participating_roles: ${participating_roles}
## Execution Instructions
[FLOW_CONTROL]
## Flow Control Steps
1. load_session_metadata → Read workflow-session.json
2. load_role_analyses → Read all analysis files
3. cross_role_analysis → Identify consensus, conflicts, gaps, ambiguities
4. generate_recommendations → Format as EP-001, EP-002, ...
### Flow Control Steps
**AGENT RESPONSIBILITY**: Execute these analysis steps sequentially with context accumulation:
1. **load_session_metadata**
- Action: Load original user intent as primary reference
- Command: Read({brainstorm_dir}/../workflow-session.json)
- Output: original_user_intent (from project/description field)
2. **load_role_analyses**
- Action: Load all role analysis documents
- Command: For each path in role_analysis_paths: Read({brainstorm_dir}/{path})
- Output: role_analyses_content_map = {role_name: content}
3. **cross_role_analysis**
- Action: Identify consensus themes, conflicts, gaps, underspecified areas
- Output: consensus_themes, conflicting_views, gaps_list, ambiguities
4. **generate_recommendations**
- Action: Convert cross-role analysis findings into structured enhancement recommendations
- Format: EP-001, EP-002, ... (sequential numbering)
- Fields: id, title, affected_roles, category, current_state, enhancement, rationale, priority
- Taxonomy: Map to 9 categories (User Intent, Requirements, Architecture, UX, Feasibility, Risk, Process, Decisions, Terminology)
- Output: enhancement_recommendations (JSON array)
### Output to Main Flow
Return JSON array:
## Output Format
[
{
\"id\": \"EP-001\",
\"title\": \"API Contract Specification\",
\"affected_roles\": [\"system-architect\", \"api-designer\"],
\"category\": \"Architecture\",
\"current_state\": \"High-level API descriptions\",
\"enhancement\": \"Add detailed contract definitions with request/response schemas\",
\"rationale\": \"Enables precise implementation and testing\",
\"priority\": \"High\"
},
...
"id": "EP-001",
"title": "API Contract Specification",
"affected_roles": ["system-architect", "api-designer"],
"category": "Architecture",
"current_state": "High-level API descriptions",
"enhancement": "Add detailed contract definitions",
"rationale": "Enables precise implementation",
"priority": "High"
}
]
"
`)
```
### Phase 4: Main Flow User Interaction
### Phase 4: User Interaction
**Main flow handles all user interaction via text output**:
**All interactions via AskUserQuestion (Chinese questions)**
**⚠️ CRITICAL**: ALL questions MUST use Chinese (所有问题必须用中文) for better user understanding
#### Step 1: Enhancement Selection
1. **Present Enhancement Options** (multi-select):
```markdown
===== Enhancement 选择 =====
```javascript
// If enhancements > 4, split into multiple rounds
const enhancements = [...]; // from Phase 3A
const BATCH_SIZE = 4;
请选择要应用的改进建议(可多选):
for (let i = 0; i < enhancements.length; i += BATCH_SIZE) {
const batch = enhancements.slice(i, i + BATCH_SIZE);
a) EP-001: API Contract Specification
影响角色system-architect, api-designer
说明:添加详细的请求/响应 schema 定义
AskUserQuestion({
questions: [{
question: `请选择要应用的改进建议 (第${Math.floor(i/BATCH_SIZE)+1}轮)`,
header: "改进选择",
multiSelect: true,
options: batch.map(ep => ({
label: `${ep.id}: ${ep.title}`,
description: `影响: ${ep.affected_roles.join(', ')} | ${ep.enhancement}`
}))
}]
})
b) EP-002: User Intent Validation
影响角色product-manager, ux-expert
说明:明确用户需求优先级和验收标准
// Store selections before next round
}
c) EP-003: Error Handling Strategy
影响角色system-architect
说明:统一异常处理和降级方案
支持格式1abc 或 1a 1b 1c 或 1a,b,c
请输入选择(可跳过输入 skip
// User can also skip: provide "跳过" option
```
2. **Generate Clarification Questions** (based on analysis agent output):
-**ALL questions in Chinese (所有问题必须用中文)**
- Use 9-category taxonomy scan results
- Prioritize most critical questions (no hard limit)
- Each with 2-4 options + descriptions
#### Step 2: Clarification Questions
3. **Interactive Clarification Loop** (max 10 questions per round):
```markdown
===== Clarification 问题 (第 1/2 轮) =====
```javascript
// Generate questions based on 9-category taxonomy scan
// Categories: User Intent, Requirements, Architecture, UX, Feasibility, Risk, Process, Decisions, Terminology
【问题1 - 用户意图】MVP 阶段的核心目标是什么?
a) 快速验证市场需求
说明:最小功能集,快速上线获取反馈
b) 建立技术壁垒
说明:完善架构,为长期发展打基础
c) 实现功能完整性
说明:覆盖所有规划功能,延迟上线
const clarifications = [...]; // from analysis
const BATCH_SIZE = 4;
【问题2 - 架构决策】技术栈选择的优先考虑因素?
a) 团队熟悉度
说明:使用现有技术栈,降低学习成本
b) 技术先进性
说明:采用新技术,提升竞争力
c) 生态成熟度
说明:选择成熟方案,保证稳定性
for (let i = 0; i < clarifications.length; i += BATCH_SIZE) {
const batch = clarifications.slice(i, i + BATCH_SIZE);
const currentRound = Math.floor(i / BATCH_SIZE) + 1;
const totalRounds = Math.ceil(clarifications.length / BATCH_SIZE);
...最多10个问题
AskUserQuestion({
questions: batch.map(q => ({
question: q.question,
header: q.category.substring(0, 12),
multiSelect: false,
options: q.options.map(opt => ({
label: opt.label,
description: opt.description
}))
}))
})
请回答 (格式: 1a 2b 3c...)
// Store answers before next round
}
```
Wait for user input → Parse all answers in batch → Continue to next round if needed
### Question Guidelines
4. **Build Update Plan**:
```
**Target**: 开发者(理解技术但需要从用户需求出发)
**Question Structure**: `[跨角色分析发现] + [需要澄清的决策点]`
**Option Structure**: `标签:[具体方案] + 说明:[业务影响] + [技术权衡]`
**9-Category Taxonomy**:
| Category | Focus | Example Question Pattern |
|----------|-------|--------------------------|
| User Intent | 用户目标 | "MVP阶段核心目标" + 验证/壁垒/完整性 |
| Requirements | 需求细化 | "功能优先级如何排序?" + 核心/增强/可选 |
| Architecture | 架构决策 | "技术栈选择考量?" + 熟悉度/先进性/成熟度 |
| UX | 用户体验 | "交互复杂度取舍?" + 简洁/丰富/渐进 |
| Feasibility | 可行性 | "资源约束下的范围?" + 最小/标准/完整 |
| Risk | 风险管理 | "风险容忍度?" + 保守/平衡/激进 |
| Process | 流程规范 | "迭代节奏?" + 快速/稳定/灵活 |
| Decisions | 决策确认 | "冲突解决方案?" + 方案A/方案B/折中 |
| Terminology | 术语统一 | "统一使用哪个术语?" + 术语A/术语B |
**Quality Rules**:
**MUST Include**:
- ✅ All questions in Chinese (用中文提问)
- ✅ 基于跨角色分析的具体发现
- ✅ 选项包含业务影响说明
- ✅ 解决实际的模糊点或冲突
**MUST Avoid**:
- ❌ 与角色分析无关的通用问题
- ❌ 重复已在 artifacts 阶段确认的内容
- ❌ 过于细节的实现级问题
#### Step 3: Build Update Plan
```javascript
update_plan = {
"role1": {
"enhancements": [EP-001, EP-003],
"enhancements": ["EP-001", "EP-003"],
"clarifications": [
{"question": "...", "answer": "...", "category": "..."},
...
{"question": "...", "answer": "...", "category": "..."}
]
},
"role2": {
"enhancements": [EP-002],
"enhancements": ["EP-002"],
"clarifications": [...]
},
...
}
}
```
### Phase 5: Parallel Document Update Agents
**Parallel agent calls** (one per role needing updates):
**Execute in parallel** (one agent per role):
```bash
# Execute in parallel using single message with multiple Task calls
Task(conceptual-planning-agent): "
```javascript
// Single message with multiple Task calls for parallelism
Task(conceptual-planning-agent, `
## Agent Mission
Apply user-confirmed enhancements and clarifications to {role1} analysis document
Apply enhancements and clarifications to ${role} analysis
## Agent Intent
- **Goal**: Integrate synthesis results into role-specific analysis
- **Scope**: Update ONLY {role1}/analysis.md (isolated, no cross-role dependencies)
- **Constraints**: Preserve original insights, add refinements without deletion
## Input
- role: ${role}
- analysis_path: ${brainstorm_dir}/${role}/analysis.md
- enhancements: ${role_enhancements}
- clarifications: ${role_clarifications}
- original_user_intent: ${intent}
## Input from Main Flow
- role: {role1}
- analysis_path: {brainstorm_dir}/{role1}/analysis.md
- enhancements: [EP-001, EP-003] (user-selected improvements)
- clarifications: [{question, answer, category}, ...] (user-confirmed answers)
- original_user_intent: {from session metadata}
## Flow Control Steps
1. load_current_analysis → Read analysis file
2. add_clarifications_section → Insert Q&A section
3. apply_enhancements → Integrate into relevant sections
4. resolve_contradictions → Remove conflicts
5. enforce_terminology → Align terminology
6. validate_intent → Verify alignment with user intent
7. write_updated_file → Save changes
## Execution Instructions
[FLOW_CONTROL]
### Flow Control Steps
**AGENT RESPONSIBILITY**: Execute these update steps sequentially:
1. **load_current_analysis**
- Action: Load existing role analysis document
- Command: Read({brainstorm_dir}/{role1}/analysis.md)
- Output: current_analysis_content
2. **add_clarifications_section**
- Action: Insert Clarifications section with Q&A
- Format: \"## Clarifications\\n### Session {date}\\n- **Q**: {question} (Category: {category})\\n **A**: {answer}\"
- Output: analysis_with_clarifications
3. **apply_enhancements**
- Action: Integrate EP-001, EP-003 into relevant sections
- Strategy: Locate section by category (Architecture → Architecture section, UX → User Experience section)
- Output: analysis_with_enhancements
4. **resolve_contradictions**
- Action: Remove conflicts between original content and clarifications/enhancements
- Output: contradiction_free_analysis
5. **enforce_terminology_consistency**
- Action: Align all terminology with user-confirmed choices from clarifications
- Output: terminology_consistent_analysis
6. **validate_user_intent_alignment**
- Action: Verify all updates support original_user_intent
- Output: validated_analysis
7. **write_updated_file**
- Action: Save final analysis document
- Command: Write({brainstorm_dir}/{role1}/analysis.md, validated_analysis)
- Output: File update confirmation
### Output
Updated {role1}/analysis.md with Clarifications section + enhanced content
")
Task(conceptual-planning-agent): "
## Agent Mission
Apply user-confirmed enhancements and clarifications to {role2} analysis document
## Agent Intent
- **Goal**: Integrate synthesis results into role-specific analysis
- **Scope**: Update ONLY {role2}/analysis.md (isolated, no cross-role dependencies)
- **Constraints**: Preserve original insights, add refinements without deletion
## Input from Main Flow
- role: {role2}
- analysis_path: {brainstorm_dir}/{role2}/analysis.md
- enhancements: [EP-002] (user-selected improvements)
- clarifications: [{question, answer, category}, ...] (user-confirmed answers)
- original_user_intent: {from session metadata}
## Execution Instructions
[FLOW_CONTROL]
### Flow Control Steps
**AGENT RESPONSIBILITY**: Execute same 7 update steps as {role1} agent (load → clarifications → enhancements → contradictions → terminology → validation → write)
### Output
Updated {role2}/analysis.md with Clarifications section + enhanced content
")
# ... repeat for each role in update_plan
## Output
Updated ${role}/analysis.md
`)
```
**Agent Characteristics**:
- **Intent**: Integrate user-confirmed synthesis results (NOT generate new analysis)
- **Isolation**: Each agent updates exactly ONE role (parallel execution safe)
- **Context**: Minimal - receives only role-specific enhancements + clarifications
- **Dependencies**: Zero cross-agent dependencies (full parallelism)
- **Isolation**: Each agent updates exactly ONE role (parallel safe)
- **Dependencies**: Zero cross-agent dependencies
- **Validation**: All updates must align with original_user_intent
### Phase 6: Completion & Metadata Update
### Phase 6: Finalization
**Main flow finalizes**:
#### Step 1: Update Context Package
```javascript
// Sync updated analyses to context-package.json
const context_pkg = Read(".workflow/active/WFS-{session}/.process/context-package.json")
// Update guidance-specification if exists
// Update synthesis-specification if exists
// Re-read all role analysis files
// Update metadata timestamps
Write(context_pkg_path, JSON.stringify(context_pkg))
```
#### Step 2: Update Session Metadata
1. Wait for all parallel agents to complete
2. Update workflow-session.json:
```json
{
"phases": {
@@ -330,15 +323,13 @@ Updated {role2}/analysis.md with Clarifications section + enhanced content
"completed_at": "timestamp",
"participating_roles": [...],
"clarification_results": {
"enhancements_applied": ["EP-001", "EP-002", ...],
"enhancements_applied": ["EP-001", "EP-002"],
"questions_asked": 3,
"categories_clarified": ["Architecture", "UX", ...],
"roles_updated": ["role1", "role2", ...],
"outstanding_items": []
"categories_clarified": ["Architecture", "UX"],
"roles_updated": ["role1", "role2"]
},
"quality_metrics": {
"user_intent_alignment": "validated",
"requirement_coverage": "comprehensive",
"ambiguity_resolution": "complete",
"terminology_consistency": "enforced"
}
@@ -347,7 +338,8 @@ Updated {role2}/analysis.md with Clarifications section + enhanced content
}
```
3. Generate completion report (show to user):
#### Step 3: Completion Report
```markdown
## ✅ Clarification Complete
@@ -359,9 +351,11 @@ Updated {role2}/analysis.md with Clarifications section + enhanced content
✅ PROCEED: `/workflow:plan --session WFS-{session-id}`
```
---
## Output
**Location**: `.workflow/active/WFS-{session}/.brainstorming/[role]/analysis*.md` (in-place updates)
**Location**: `.workflow/active/WFS-{session}/.brainstorming/[role]/analysis*.md`
**Updated Structure**:
```markdown
@@ -381,58 +375,24 @@ Updated {role2}/analysis.md with Clarifications section + enhanced content
- Ambiguities resolved, placeholders removed
- Consistent terminology
## Session Metadata
Update `workflow-session.json`:
```json
{
"phases": {
"BRAINSTORM": {
"status": "clarification_completed",
"clarification_completed": true,
"completed_at": "timestamp",
"participating_roles": ["product-manager", "system-architect", ...],
"clarification_results": {
"questions_asked": 3,
"categories_clarified": ["Architecture & Design", ...],
"roles_updated": ["system-architect", "ui-designer", ...],
"outstanding_items": []
},
"quality_metrics": {
"user_intent_alignment": "validated",
"requirement_coverage": "comprehensive",
"ambiguity_resolution": "complete",
"terminology_consistency": "enforced",
"decision_transparency": "documented"
}
}
}
}
```
---
## Quality Checklist
**Content**:
- All role analyses loaded/analyzed
- Cross-role analysis (consensus, conflicts, gaps)
- 9-category ambiguity scan
- Questions prioritized
- Clarifications documented
- All role analyses loaded/analyzed
- Cross-role analysis (consensus, conflicts, gaps)
- 9-category ambiguity scan
- Questions prioritized
**Analysis**:
- User intent validated
- Cross-role synthesis complete
- Ambiguities resolved
- Correct roles updated
- Terminology consistent
- Contradictions removed
- User intent validated
- Cross-role synthesis complete
- Ambiguities resolved
- ✅ Terminology consistent
**Documents**:
- Clarifications section formatted
- Sections reflect answers
- No placeholders (TODO/TBD)
- Valid Markdown
- Cross-references maintained
- Clarifications section formatted
- Sections reflect answers
- No placeholders (TODO/TBD)
- Valid Markdown

View File

@@ -81,6 +81,7 @@ ELSE:
**Framework-Based Analysis** (when guidance-specification.md exists):
```bash
Task(subagent_type="conceptual-planning-agent",
run_in_background=false,
prompt="Generate system architect analysis addressing topic framework
## Framework Integration Required
@@ -136,6 +137,7 @@ Task(subagent_type="conceptual-planning-agent",
# For existing analysis updates
IF update_mode = "incremental":
Task(subagent_type="conceptual-planning-agent",
run_in_background=false,
prompt="Update existing system architect analysis
## Current Analysis Context

View File

@@ -0,0 +1,516 @@
---
name: clean
description: Intelligent code cleanup with mainline detection, stale artifact discovery, and safe execution
argument-hint: "[--dry-run] [\"focus area\"]"
allowed-tools: TodoWrite(*), Task(*), AskUserQuestion(*), Read(*), Glob(*), Bash(*), Write(*)
---
# Clean Command (/workflow:clean)
## Overview
Intelligent cleanup command that explores the codebase to identify the development mainline, discovers artifacts that have drifted from it, and safely removes stale sessions, abandoned documents, and dead code.
**Core capabilities:**
- Mainline detection: Identify active development branches and core modules
- Drift analysis: Find sessions, documents, and code that deviate from mainline
- Intelligent discovery: cli-explore-agent based artifact scanning
- Safe execution: Confirmation-based cleanup with dry-run preview
## Usage
```bash
/workflow:clean # Full intelligent cleanup (explore → analyze → confirm → execute)
/workflow:clean --dry-run # Explore and analyze only, no execution
/workflow:clean "auth module" # Focus cleanup on specific area
```
## Execution Process
```
Phase 1: Mainline Detection
├─ Analyze git history for development trends
├─ Identify core modules (high commit frequency)
├─ Map active vs stale branches
└─ Build mainline profile
Phase 2: Drift Discovery (cli-explore-agent)
├─ Scan workflow sessions for orphaned artifacts
├─ Identify documents drifted from mainline
├─ Detect dead code and unused exports
└─ Generate cleanup manifest
Phase 3: Confirmation
├─ Display cleanup summary by category
├─ Show impact analysis (files, size, risk)
└─ AskUserQuestion: Select categories to clean
Phase 4: Execution (unless --dry-run)
├─ Execute cleanup by category
├─ Update manifests and indexes
└─ Report results
```
## Implementation
### Phase 1: Mainline Detection
**Session Setup**:
```javascript
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
const dateStr = getUtc8ISOString().substring(0, 10)
const sessionId = `clean-${dateStr}`
const sessionFolder = `.workflow/.clean/${sessionId}`
Bash(`mkdir -p ${sessionFolder}`)
```
**Step 1.1: Git History Analysis**
```bash
# Get commit frequency by directory (last 30 days)
bash(git log --since="30 days ago" --name-only --pretty=format: | grep -v "^$" | cut -d/ -f1-2 | sort | uniq -c | sort -rn | head -20)
# Get recent active branches
bash(git for-each-ref --sort=-committerdate refs/heads/ --format='%(refname:short) %(committerdate:relative)' | head -10)
# Get files with most recent changes
bash(git log --since="7 days ago" --name-only --pretty=format: | grep -v "^$" | sort | uniq -c | sort -rn | head -30)
```
**Step 1.2: Build Mainline Profile**
```javascript
const mainlineProfile = {
coreModules: [], // High-frequency directories
activeFiles: [], // Recently modified files
activeBranches: [], // Branches with recent commits
staleThreshold: {
sessions: 7, // Days
branches: 30,
documents: 14
},
timestamp: getUtc8ISOString()
}
// Parse git log output to identify core modules
// Modules with >5 commits in last 30 days = core
// Modules with 0 commits in last 30 days = potentially stale
Write(`${sessionFolder}/mainline-profile.json`, JSON.stringify(mainlineProfile, null, 2))
```
---
### Phase 2: Drift Discovery
**Launch cli-explore-agent for intelligent artifact scanning**:
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description="Discover stale artifacts",
prompt=`
## Task Objective
Discover artifacts that have drifted from the development mainline. Identify stale sessions, abandoned documents, and dead code for cleanup.
## Context
- **Session Folder**: ${sessionFolder}
- **Mainline Profile**: ${sessionFolder}/mainline-profile.json
- **Focus Area**: ${focusArea || "全项目"}
## Discovery Categories
### Category 1: Stale Workflow Sessions
Scan and analyze workflow session directories:
**Locations to scan**:
- .workflow/active/WFS-* (active sessions)
- .workflow/archives/WFS-* (archived sessions)
- .workflow/.lite-plan/* (lite-plan sessions)
- .workflow/.debug/DBG-* (debug sessions)
**Staleness criteria**:
- Active sessions: No modification >7 days + no related git commits
- Archives: >30 days old + no feature references in project.json
- Lite-plan: >7 days old + plan.json not executed
- Debug: >3 days old + issue not in recent commits
**Analysis steps**:
1. List all session directories with modification times
2. Cross-reference with git log (are session topics in recent commits?)
3. Check manifest.json for orphan entries
4. Identify sessions with .archiving marker (interrupted)
### Category 2: Drifted Documents
Scan documentation that no longer aligns with code:
**Locations to scan**:
- .claude/rules/tech/* (generated tech rules)
- .workflow/.scratchpad/* (temporary notes)
- **/CLAUDE.md (module documentation)
- **/README.md (outdated descriptions)
**Drift criteria**:
- Tech rules: Referenced files no longer exist
- Scratchpad: Any file (always temporary)
- Module docs: Describe functions/classes that were removed
- READMEs: Reference deleted directories
**Analysis steps**:
1. Parse document content for file/function references
2. Verify referenced entities still exist in codebase
3. Flag documents with >30% broken references
### Category 3: Dead Code
Identify code that is no longer used:
**Scan patterns**:
- Unused exports (exported but never imported)
- Orphan files (not imported anywhere)
- Commented-out code blocks (>10 lines)
- TODO/FIXME comments >90 days old
**Analysis steps**:
1. Build import graph using rg/grep
2. Identify exports with no importers
3. Find files not in import graph
4. Scan for large comment blocks
## Output Format
Write to: ${sessionFolder}/cleanup-manifest.json
\`\`\`json
{
"generated_at": "ISO timestamp",
"mainline_summary": {
"core_modules": ["src/core", "src/api"],
"active_branches": ["main", "feature/auth"],
"health_score": 0.85
},
"discoveries": {
"stale_sessions": [
{
"path": ".workflow/active/WFS-old-feature",
"type": "active",
"age_days": 15,
"reason": "No related commits in 15 days",
"size_kb": 1024,
"risk": "low"
}
],
"drifted_documents": [
{
"path": ".claude/rules/tech/deprecated-lib",
"type": "tech_rules",
"broken_references": 5,
"total_references": 6,
"drift_percentage": 83,
"reason": "Referenced library removed",
"risk": "low"
}
],
"dead_code": [
{
"path": "src/utils/legacy.ts",
"type": "orphan_file",
"reason": "Not imported by any file",
"last_modified": "2025-10-01",
"risk": "medium"
}
]
},
"summary": {
"total_items": 12,
"total_size_mb": 45.2,
"by_category": {
"stale_sessions": 5,
"drifted_documents": 4,
"dead_code": 3
},
"by_risk": {
"low": 8,
"medium": 3,
"high": 1
}
}
}
\`\`\`
## Execution Commands
\`\`\`bash
# Session directories
find .workflow -type d -name "WFS-*" -o -name "DBG-*" 2>/dev/null
# Check modification times (Linux/Mac)
stat -c "%Y %n" .workflow/active/WFS-* 2>/dev/null
# Check modification times (Windows PowerShell via bash)
powershell -Command "Get-ChildItem '.workflow/active/WFS-*' | ForEach-Object { Write-Output \"$($_.LastWriteTime) $($_.FullName)\" }"
# Find orphan exports (TypeScript)
rg "export (const|function|class|interface|type)" --type ts -l
# Find imports
rg "import.*from" --type ts
# Find large comment blocks
rg "^\\s*/\\*" -A 10 --type ts
# Find old TODOs
rg "TODO|FIXME" --type ts -n
\`\`\`
## Success Criteria
- [ ] All session directories scanned with age calculation
- [ ] Documents cross-referenced with existing code
- [ ] Dead code detection via import graph analysis
- [ ] cleanup-manifest.json written with complete data
- [ ] Each item has risk level and cleanup reason
`
)
```
---
### Phase 3: Confirmation
**Step 3.1: Display Summary**
```javascript
const manifest = JSON.parse(Read(`${sessionFolder}/cleanup-manifest.json`))
console.log(`
## Cleanup Discovery Report
**Mainline Health**: ${Math.round(manifest.mainline_summary.health_score * 100)}%
**Core Modules**: ${manifest.mainline_summary.core_modules.join(', ')}
### Summary
| Category | Count | Size | Risk |
|----------|-------|------|------|
| Stale Sessions | ${manifest.summary.by_category.stale_sessions} | - | ${getRiskSummary('sessions')} |
| Drifted Documents | ${manifest.summary.by_category.drifted_documents} | - | ${getRiskSummary('documents')} |
| Dead Code | ${manifest.summary.by_category.dead_code} | - | ${getRiskSummary('code')} |
**Total**: ${manifest.summary.total_items} items, ~${manifest.summary.total_size_mb} MB
### Stale Sessions
${manifest.discoveries.stale_sessions.map(s =>
`- ${s.path} (${s.age_days}d, ${s.risk}): ${s.reason}`
).join('\n')}
### Drifted Documents
${manifest.discoveries.drifted_documents.map(d =>
`- ${d.path} (${d.drift_percentage}% broken, ${d.risk}): ${d.reason}`
).join('\n')}
### Dead Code
${manifest.discoveries.dead_code.map(c =>
`- ${c.path} (${c.type}, ${c.risk}): ${c.reason}`
).join('\n')}
`)
```
**Step 3.2: Dry-Run Exit**
```javascript
if (flags.includes('--dry-run')) {
console.log(`
---
**Dry-run mode**: No changes made.
Manifest saved to: ${sessionFolder}/cleanup-manifest.json
To execute cleanup: /workflow:clean
`)
return
}
```
**Step 3.3: User Confirmation**
```javascript
AskUserQuestion({
questions: [
{
question: "Which categories to clean?",
header: "Categories",
multiSelect: true,
options: [
{
label: "Sessions",
description: `${manifest.summary.by_category.stale_sessions} stale workflow sessions`
},
{
label: "Documents",
description: `${manifest.summary.by_category.drifted_documents} drifted documents`
},
{
label: "Dead Code",
description: `${manifest.summary.by_category.dead_code} unused code files`
}
]
},
{
question: "Risk level to include?",
header: "Risk",
multiSelect: false,
options: [
{ label: "Low only", description: "Safest - only obviously stale items" },
{ label: "Low + Medium", description: "Recommended - includes likely unused items" },
{ label: "All", description: "Aggressive - includes high-risk items" }
]
}
]
})
```
---
### Phase 4: Execution
**Step 4.1: Filter Items by Selection**
```javascript
const selectedCategories = userSelection.categories // ['Sessions', 'Documents', ...]
const riskLevel = userSelection.risk // 'Low only', 'Low + Medium', 'All'
const riskFilter = {
'Low only': ['low'],
'Low + Medium': ['low', 'medium'],
'All': ['low', 'medium', 'high']
}[riskLevel]
const itemsToClean = []
if (selectedCategories.includes('Sessions')) {
itemsToClean.push(...manifest.discoveries.stale_sessions.filter(s => riskFilter.includes(s.risk)))
}
if (selectedCategories.includes('Documents')) {
itemsToClean.push(...manifest.discoveries.drifted_documents.filter(d => riskFilter.includes(d.risk)))
}
if (selectedCategories.includes('Dead Code')) {
itemsToClean.push(...manifest.discoveries.dead_code.filter(c => riskFilter.includes(c.risk)))
}
TodoWrite({
todos: itemsToClean.map(item => ({
content: `Clean: ${item.path}`,
status: "pending",
activeForm: `Cleaning ${item.path}`
}))
})
```
**Step 4.2: Execute Cleanup**
```javascript
const results = { deleted: [], failed: [], skipped: [] }
for (const item of itemsToClean) {
TodoWrite({ todos: [...] }) // Mark current as in_progress
try {
if (item.type === 'orphan_file' || item.type === 'dead_export') {
// Dead code: Delete file or remove export
Bash({ command: `rm -rf "${item.path}"` })
} else {
// Sessions and documents: Delete directory/file
Bash({ command: `rm -rf "${item.path}"` })
}
results.deleted.push(item.path)
TodoWrite({ todos: [...] }) // Mark as completed
} catch (error) {
results.failed.push({ path: item.path, error: error.message })
}
}
```
**Step 4.3: Update Manifests**
```javascript
// Update archives manifest if sessions were deleted
if (selectedCategories.includes('Sessions')) {
const archiveManifestPath = '.workflow/archives/manifest.json'
if (fileExists(archiveManifestPath)) {
const archiveManifest = JSON.parse(Read(archiveManifestPath))
const deletedSessionIds = results.deleted
.filter(p => p.includes('WFS-'))
.map(p => p.split('/').pop())
const updatedManifest = archiveManifest.filter(entry =>
!deletedSessionIds.includes(entry.session_id)
)
Write(archiveManifestPath, JSON.stringify(updatedManifest, null, 2))
}
}
// Update project.json if features referenced deleted sessions
const projectPath = '.workflow/project.json'
if (fileExists(projectPath)) {
const project = JSON.parse(Read(projectPath))
const deletedPaths = new Set(results.deleted)
project.features = project.features.filter(f =>
!deletedPaths.has(f.traceability?.archive_path)
)
project.statistics.total_features = project.features.length
project.statistics.last_updated = getUtc8ISOString()
Write(projectPath, JSON.stringify(project, null, 2))
}
```
**Step 4.4: Report Results**
```javascript
console.log(`
## Cleanup Complete
**Deleted**: ${results.deleted.length} items
**Failed**: ${results.failed.length} items
**Skipped**: ${results.skipped.length} items
### Deleted Items
${results.deleted.map(p => `- ${p}`).join('\n')}
${results.failed.length > 0 ? `
### Failed Items
${results.failed.map(f => `- ${f.path}: ${f.error}`).join('\n')}
` : ''}
Cleanup manifest archived to: ${sessionFolder}/cleanup-manifest.json
`)
```
---
## Session Folder Structure
```
.workflow/.clean/{YYYY-MM-DD}/
├── mainline-profile.json # Git history analysis
└── cleanup-manifest.json # Discovery results
```
## Risk Level Definitions
| Risk | Description | Examples |
|------|-------------|----------|
| **Low** | Safe to delete, no dependencies | Empty sessions, scratchpad files, 100% broken docs |
| **Medium** | Likely unused, verify before delete | Orphan files, old archives, partially broken docs |
| **High** | May have hidden dependencies | Files with some imports, recent modifications |
## Error Handling
| Situation | Action |
|-----------|--------|
| No git repository | Skip mainline detection, use file timestamps only |
| Session in use (.archiving) | Skip with warning |
| Permission denied | Report error, continue with others |
| Manifest parse error | Regenerate from filesystem scan |
| Empty discovery | Report "codebase is clean" |
## Related Commands
- `/workflow:session:complete` - Properly archive active sessions
- `/memory:compact` - Save session memory before cleanup
- `/workflow:status` - View current workflow state

View File

@@ -0,0 +1,321 @@
---
name: debug
description: Interactive hypothesis-driven debugging with NDJSON logging, iterative until resolved
argument-hint: "\"bug description or error message\""
allowed-tools: TodoWrite(*), Task(*), AskUserQuestion(*), Read(*), Grep(*), Glob(*), Bash(*), Edit(*), Write(*)
---
# Workflow Debug Command (/workflow:debug)
## Overview
Evidence-based interactive debugging command. Systematically identifies root causes through hypothesis-driven logging and iterative verification.
**Core workflow**: Explore → Add Logging → Reproduce → Analyze Log → Fix → Verify
## Usage
```bash
/workflow:debug <BUG_DESCRIPTION>
# Arguments
<bug-description> Bug description, error message, or stack trace (required)
```
## Execution Process
```
Session Detection:
├─ Check if debug session exists for this bug
├─ EXISTS + debug.log has content → Analyze mode
└─ NOT_FOUND or empty log → Explore mode
Explore Mode:
├─ Locate error source in codebase
├─ Generate testable hypotheses (dynamic count)
├─ Add NDJSON logging instrumentation
└─ Output: Hypothesis list + await user reproduction
Analyze Mode:
├─ Parse debug.log, validate each hypothesis
└─ Decision:
├─ Confirmed → Fix root cause
├─ Inconclusive → Add more logging, iterate
└─ All rejected → Generate new hypotheses
Fix & Cleanup:
├─ Apply fix based on confirmed hypothesis
├─ User verifies
├─ Remove debug instrumentation
└─ If not fixed → Return to Analyze mode
```
## Implementation
### Session Setup & Mode Detection
```javascript
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
const bugSlug = bug_description.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 30)
const dateStr = getUtc8ISOString().substring(0, 10)
const sessionId = `DBG-${bugSlug}-${dateStr}`
const sessionFolder = `.workflow/.debug/${sessionId}`
const debugLogPath = `${sessionFolder}/debug.log`
// Auto-detect mode
const sessionExists = fs.existsSync(sessionFolder)
const logHasContent = sessionExists && fs.existsSync(debugLogPath) && fs.statSync(debugLogPath).size > 0
const mode = logHasContent ? 'analyze' : 'explore'
if (!sessionExists) {
bash(`mkdir -p ${sessionFolder}`)
}
```
---
### Explore Mode
**Step 1.1: Locate Error Source**
```javascript
// Extract keywords from bug description
const keywords = extractErrorKeywords(bug_description)
// e.g., ['Stack Length', '未找到', 'registered 0']
// Search codebase for error locations
for (const keyword of keywords) {
Grep({ pattern: keyword, path: ".", output_mode: "content", "-C": 3 })
}
// Identify affected files and functions
const affectedLocations = [...] // from search results
```
**Step 1.2: Generate Hypotheses (Dynamic)**
```javascript
// Hypothesis categories based on error pattern
const HYPOTHESIS_PATTERNS = {
"not found|missing|undefined|未找到": "data_mismatch",
"0|empty|zero|registered 0": "logic_error",
"timeout|connection|sync": "integration_issue",
"type|format|parse": "type_mismatch"
}
// Generate hypotheses based on actual issue (NOT fixed count)
function generateHypotheses(bugDescription, affectedLocations) {
const hypotheses = []
// Analyze bug and create targeted hypotheses
// Each hypothesis has:
// - id: H1, H2, ... (dynamic count)
// - description: What might be wrong
// - testable_condition: What to log
// - logging_point: Where to add instrumentation
return hypotheses // Could be 1, 3, 5, or more
}
const hypotheses = generateHypotheses(bug_description, affectedLocations)
```
**Step 1.3: Add NDJSON Instrumentation**
For each hypothesis, add logging at the relevant location:
**Python template**:
```python
# region debug [H{n}]
try:
import json, time
_dbg = {
"sid": "{sessionId}",
"hid": "H{n}",
"loc": "{file}:{line}",
"msg": "{testable_condition}",
"data": {
# Capture relevant values here
},
"ts": int(time.time() * 1000)
}
with open(r"{debugLogPath}", "a", encoding="utf-8") as _f:
_f.write(json.dumps(_dbg, ensure_ascii=False) + "\n")
except: pass
# endregion
```
**JavaScript/TypeScript template**:
```javascript
// region debug [H{n}]
try {
require('fs').appendFileSync("{debugLogPath}", JSON.stringify({
sid: "{sessionId}",
hid: "H{n}",
loc: "{file}:{line}",
msg: "{testable_condition}",
data: { /* Capture relevant values */ },
ts: Date.now()
}) + "\n");
} catch(_) {}
// endregion
```
**Output to user**:
```
## Hypotheses Generated
Based on error "{bug_description}", generated {n} hypotheses:
{hypotheses.map(h => `
### ${h.id}: ${h.description}
- Logging at: ${h.logging_point}
- Testing: ${h.testable_condition}
`).join('')}
**Debug log**: ${debugLogPath}
**Next**: Run reproduction steps, then come back for analysis.
```
---
### Analyze Mode
```javascript
// Parse NDJSON log
const entries = Read(debugLogPath).split('\n')
.filter(l => l.trim())
.map(l => JSON.parse(l))
// Group by hypothesis
const byHypothesis = groupBy(entries, 'hid')
// Validate each hypothesis
for (const [hid, logs] of Object.entries(byHypothesis)) {
const hypothesis = hypotheses.find(h => h.id === hid)
const latestLog = logs[logs.length - 1]
// Check if evidence confirms or rejects hypothesis
const verdict = evaluateEvidence(hypothesis, latestLog.data)
// Returns: 'confirmed' | 'rejected' | 'inconclusive'
}
```
**Output**:
```
## Evidence Analysis
Analyzed ${entries.length} log entries.
${results.map(r => `
### ${r.id}: ${r.description}
- **Status**: ${r.verdict}
- **Evidence**: ${JSON.stringify(r.evidence)}
- **Reason**: ${r.reason}
`).join('')}
${confirmedHypothesis ? `
## Root Cause Identified
**${confirmedHypothesis.id}**: ${confirmedHypothesis.description}
Ready to fix.
` : `
## Need More Evidence
Add more logging or refine hypotheses.
`}
```
---
### Fix & Cleanup
```javascript
// Apply fix based on confirmed hypothesis
// ... Edit affected files
// After user verifies fix works:
// Remove debug instrumentation (search for region markers)
const instrumentedFiles = Grep({
pattern: "# region debug|// region debug",
output_mode: "files_with_matches"
})
for (const file of instrumentedFiles) {
// Remove content between region markers
removeDebugRegions(file)
}
console.log(`
## Debug Complete
- Root cause: ${confirmedHypothesis.description}
- Fix applied to: ${modifiedFiles.join(', ')}
- Debug instrumentation removed
`)
```
---
## Debug Log Format (NDJSON)
Each line is a JSON object:
```json
{"sid":"DBG-xxx-2025-12-18","hid":"H1","loc":"file.py:func:42","msg":"Check dict keys","data":{"keys":["a","b"],"target":"c","found":false},"ts":1734567890123}
```
| Field | Description |
|-------|-------------|
| `sid` | Session ID |
| `hid` | Hypothesis ID (H1, H2, ...) |
| `loc` | Code location |
| `msg` | What's being tested |
| `data` | Captured values |
| `ts` | Timestamp (ms) |
## Session Folder
```
.workflow/.debug/DBG-{slug}-{date}/
├── debug.log # NDJSON log (main artifact)
└── resolution.md # Summary after fix (optional)
```
## Iteration Flow
```
First Call (/workflow:debug "error"):
├─ No session exists → Explore mode
├─ Extract error keywords, search codebase
├─ Generate hypotheses, add logging
└─ Await user reproduction
After Reproduction (/workflow:debug "error"):
├─ Session exists + debug.log has content → Analyze mode
├─ Parse log, evaluate hypotheses
└─ Decision:
├─ Confirmed → Fix → User verify
│ ├─ Fixed → Cleanup → Done
│ └─ Not fixed → Add logging → Iterate
├─ Inconclusive → Add logging → Iterate
└─ All rejected → New hypotheses → Iterate
Output:
└─ .workflow/.debug/DBG-{slug}-{date}/debug.log
```
## Error Handling
| Situation | Action |
|-----------|--------|
| Empty debug.log | Verify reproduction triggered the code path |
| All hypotheses rejected | Generate new hypotheses with broader scope |
| Fix doesn't work | Iterate with more granular logging |
| >5 iterations | Escalate to `/workflow:lite-fix` with evidence |

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@@ -15,22 +15,16 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
**Lazy Loading**: Task JSONs read **on-demand** during execution, not upfront. TODO_LIST.md + IMPL_PLAN.md provide metadata for planning.
| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| **Initial Load** | All task JSONs (~2,300 lines) | TODO_LIST.md only (~650 lines) | **72% reduction** |
| **Startup Time** | Seconds | Milliseconds | **~90% faster** |
| **Memory** | All tasks | 1-2 tasks | **90% less** |
| **Scalability** | 10-20 tasks | 100+ tasks | **5-10x** |
**Loading Strategy**:
- **TODO_LIST.md**: Read in Phase 2 (task metadata, status, dependencies)
- **IMPL_PLAN.md**: Read existence in Phase 2, parse execution strategy when needed
- **Task JSONs**: Complete lazy loading (read only during execution)
- **TODO_LIST.md**: Read in Phase 3 (task metadata, status, dependencies for TodoWrite generation)
- **IMPL_PLAN.md**: Check existence in Phase 2 (normal mode), parse execution strategy in Phase 4A
- **Task JSONs**: Lazy loading - read only when task is about to execute (Phase 4B)
## Core Rules
**Complete entire workflow autonomously without user interruption, using TodoWrite for comprehensive progress tracking.**
**Execute all discovered pending tasks until workflow completion or blocking dependency.**
**Auto-complete session when all tasks finished: Call `/workflow:session:complete` upon workflow completion.**
**ONE AGENT = ONE TASK JSON: Each agent instance executes exactly one task JSON file - never batch multiple tasks into single agent execution.**
## Core Responsibilities
- **Session Discovery**: Identify and select active workflow sessions
@@ -42,13 +36,55 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
- **Session Auto-Complete**: Call `/workflow:session:complete` when all workflow tasks finished
## Execution Philosophy
- **IMPL_PLAN-driven**: Follow execution strategy from IMPL_PLAN.md Section 4
- **Discovery-first**: Auto-discover existing plans and tasks
- **Status-aware**: Execute only ready tasks with resolved dependencies
- **Context-rich**: Provide complete task JSON and accumulated context to agents
- **Progress tracking**: Continuous TodoWrite updates throughout entire workflow execution
- **Autonomous completion**: Execute all tasks without user interruption until workflow complete
## Execution Process
```
Normal Mode:
Phase 1: Discovery
├─ Count active sessions
└─ Decision:
├─ count=0 → ERROR: No active sessions
├─ count=1 → Auto-select session → Phase 2
└─ count>1 → AskUserQuestion (max 4 options) → Phase 2
Phase 2: Planning Document Validation
├─ Check IMPL_PLAN.md exists
├─ Check TODO_LIST.md exists
└─ Validate .task/ contains IMPL-*.json files
Phase 3: TodoWrite Generation
├─ Update session status to "active" (Step 0)
├─ Parse TODO_LIST.md for task statuses
├─ Generate TodoWrite for entire workflow
└─ Prepare session context paths
Phase 4: Execution Strategy & Task Execution
├─ Step 4A: Parse execution strategy from IMPL_PLAN.md
└─ Step 4B: Execute tasks with lazy loading
└─ Loop:
├─ Get next in_progress task from TodoWrite
├─ Lazy load task JSON
├─ Launch agent with task context
├─ Mark task completed (update IMPL-*.json status)
│ # Quick fix: Update task status for ccw dashboard
│ # TS=$(date -Iseconds) && jq --arg ts "$TS" '.status="completed" | .status_history=(.status_history // [])+[{"from":"in_progress","to":"completed","changed_at":$ts}]' IMPL-X.json > tmp.json && mv tmp.json IMPL-X.json
└─ Advance to next task
Phase 5: Completion
├─ Update task statuses in JSON files
├─ Generate summaries
└─ Auto-call /workflow:session:complete
Resume Mode (--resume-session):
├─ Skip Phase 1 & Phase 2
└─ Entry Point: Phase 3 (TodoWrite Generation)
├─ Update session status to "active" (if not already)
└─ Continue: Phase 4 → Phase 5
```
## Execution Lifecycle
### Phase 1: Discovery
@@ -91,16 +127,31 @@ bash(for dir in .workflow/active/WFS-*/; do
done)
```
Use AskUserQuestion to present formatted options:
```
Multiple active workflow sessions detected. Please select one:
Use AskUserQuestion to present formatted options (max 4 options shown):
```javascript
// If more than 4 sessions, show most recent 4 with "Other" option for manual input
const sessions = getActiveSessions() // sorted by last modified
const displaySessions = sessions.slice(0, 4)
1. WFS-auth-system | Authentication System | 3/5 tasks (60%)
2. WFS-payment-module | Payment Integration | 0/8 tasks (0%)
Enter number, full session ID, or partial match:
AskUserQuestion({
questions: [{
question: "Multiple active sessions detected. Select one:",
header: "Session",
multiSelect: false,
options: displaySessions.map(s => ({
label: s.id,
description: `${s.project} | ${s.progress}`
}))
// Note: User can select "Other" to manually enter session ID
}]
})
```
**Input Validation**:
- If user selects from options: Use selected session ID
- If user selects "Other" and provides input: Validate session exists
- If validation fails: Show error and re-prompt or suggest available sessions
Parse user input (supports: number "1", full ID "WFS-auth-system", or partial "auth"), validate selection, and continue to Phase 2.
#### Step 1.3: Load Session Metadata
@@ -113,37 +164,43 @@ bash(cat .workflow/active/${sessionId}/workflow-session.json)
**Resume Mode**: This entire phase is skipped when `--resume-session="session-id"` flag is provided.
### Phase 2: Planning Document Analysis
### Phase 2: Planning Document Validation
**Applies to**: Normal mode only (skipped in resume mode)
**Optimized to avoid reading all task JSONs upfront**
**Purpose**: Validate planning artifacts exist before execution
**Process**:
1. **Read IMPL_PLAN.md**: Check existence, understand overall strategy
2. **Read TODO_LIST.md**: Get current task statuses and execution progress
3. **Extract Task Metadata**: Parse task IDs, titles, and dependency relationships from TODO_LIST.md
4. **Build Execution Queue**: Determine ready tasks based on TODO_LIST.md status and dependencies
1. **Check IMPL_PLAN.md**: Verify file exists (defer detailed parsing to Phase 4A)
2. **Check TODO_LIST.md**: Verify file exists (defer reading to Phase 3)
3. **Validate Task Directory**: Ensure `.task/` contains at least one IMPL-*.json file
**Key Optimization**: Use IMPL_PLAN.md (existence check only) and TODO_LIST.md as primary sources instead of reading all task JSONs
**Key Optimization**: Only existence checks here. Actual file reading happens in later phases.
**Resume Mode**: This phase is skipped when `--resume-session` flag is provided (session already known).
**Resume Mode**: This phase is skipped when `--resume-session` flag is provided. Resume mode entry point is Phase 3.
### Phase 3: TodoWrite Generation
**Applies to**: Both normal and resume modes (resume mode entry point)
**Step 0: Update Session Status to Active**
Before generating TodoWrite, update session status from "planning" to "active":
```bash
# Update session status (idempotent - safe to run if already active)
jq '.status = "active" | .execution_started_at = (.execution_started_at // now | todate)' \
.workflow/active/${sessionId}/workflow-session.json > tmp.json && \
mv tmp.json .workflow/active/${sessionId}/workflow-session.json
```
This ensures the dashboard shows the session as "ACTIVE" during execution.
**Process**:
1. **Create TodoWrite List**: Generate task list from TODO_LIST.md (not from task JSONs)
- Parse TODO_LIST.md to extract all tasks with current statuses
- Identify first pending task with met dependencies
- Generate comprehensive TodoWrite covering entire workflow
2. **Mark Initial Status**: Set first ready task(s) as `in_progress` in TodoWrite
- **Sequential execution**: Mark ONE task as `in_progress`
- **Parallel batch**: Mark ALL tasks in current batch as `in_progress`
3. **Prepare Session Context**: Inject workflow paths for agent use (using provided session-id)
4. **Validate Prerequisites**: Ensure IMPL_PLAN.md and TODO_LIST.md exist and are valid
2. **Prepare Session Context**: Inject workflow paths for agent use (using provided session-id)
3. **Validate Prerequisites**: Ensure IMPL_PLAN.md and TODO_LIST.md exist and are valid
**Resume Mode Behavior**:
- Load existing TODO_LIST.md directly from `.workflow/active//{session-id}/`
- Load existing TODO_LIST.md directly from `.workflow/active/{session-id}/`
- Extract current progress from TODO_LIST.md
- Generate TodoWrite from TODO_LIST.md state
- Proceed immediately to agent execution (Phase 4)
@@ -169,7 +226,7 @@ If IMPL_PLAN.md lacks execution strategy, use intelligent fallback (analyze task
```
while (TODO_LIST.md has pending tasks) {
next_task_id = getTodoWriteInProgressTask()
task_json = Read(.workflow/session/{session}/.task/{next_task_id}.json) // Lazy load
task_json = Read(.workflow/active/{session}/.task/{next_task_id}.json) // Lazy load
executeTaskWithAgent(task_json)
updateTodoListMarkCompleted(next_task_id)
advanceTodoWriteToNextTask()
@@ -183,14 +240,10 @@ while (TODO_LIST.md has pending tasks) {
4. **Launch Agent**: Invoke specialized agent with complete context including flow control steps
5. **Monitor Progress**: Track agent execution and handle errors without user interruption
6. **Collect Results**: Gather implementation results and outputs
7. **Update TODO_LIST.md**: Mark current task as completed in TODO_LIST.md
8. **Continue Workflow**: Identify next pending task from TODO_LIST.md and repeat
7. **Continue Workflow**: Identify next pending task from TODO_LIST.md and repeat
**Note**: TODO_LIST.md updates are handled by agents (e.g., code-developer.md), not by the orchestrator.
**Benefits**:
- Reduces initial context loading by ~90%
- Only reads task JSON when actually executing
- Scales better for workflows with many tasks
- Faster startup time for workflow execution
### Phase 5: Completion
**Applies to**: Both normal and resume modes
@@ -237,8 +290,9 @@ while (TODO_LIST.md has pending tasks) {
#### 2. Parallel Execution
**When**: IMPL_PLAN specifies "Parallel" with clear parallelization opportunities
**Pattern**: Execute independent task groups concurrently
**Pattern**: Execute independent task groups concurrently by launching multiple agent instances
**TodoWrite**: MULTIPLE tasks (in same batch) marked as `in_progress` simultaneously
**Agent Instantiation**: Launch one agent instance per task (respects ONE AGENT = ONE TASK JSON rule)
#### 3. Phased Execution
**When**: IMPL_PLAN specifies "Phased" with phase breakdown
@@ -326,232 +380,47 @@ TodoWrite({
});
```
### TODO_LIST.md Update Timing
**Single source of truth for task status** - enables lazy loading by providing task metadata without reading JSONs
- **Before Agent Launch**: Mark task as `in_progress`
- **After Task Complete**: Mark as `completed`, advance to next
- **On Error**: Keep as `in_progress`, add error note
- **Workflow Complete**: Call `/workflow:session:complete`
## Agent Context Management
### Context Sources (Priority Order)
1. **Complete Task JSON**: Full task definition including all fields and artifacts
2. **Artifacts Context**: Brainstorming outputs and role analyses from task.context.artifacts
3. **Flow Control Context**: Accumulated outputs from pre_analysis steps (including artifact loading)
4. **Dependency Summaries**: Previous task completion summaries
5. **Session Context**: Workflow paths and session metadata
6. **Inherited Context**: Parent task context and shared variables
### Context Assembly Process
```
1. Load Task JSON → Base context (including artifacts array)
2. Load Artifacts → Synthesis specifications and brainstorming outputs
3. Execute Flow Control → Accumulated context (with artifact loading steps)
4. Load Dependencies → Dependency context
5. Prepare Session Paths → Session context
6. Combine All → Complete agent context with artifact integration
```
### Agent Context Package Structure
```json
{
"task": { /* Complete task JSON with artifacts array */ },
"artifacts": {
"synthesis_specification": { "path": "{{from context-package.json → brainstorm_artifacts.synthesis_output.path}}", "priority": "highest" },
"guidance_specification": { "path": "{{from context-package.json → brainstorm_artifacts.guidance_specification.path}}", "priority": "medium" },
"role_analyses": [ /* From context-package.json brainstorm_artifacts.role_analyses[] */ ],
"conflict_resolution": { "path": "{{from context-package.json → brainstorm_artifacts.conflict_resolution.path}}", "conditional": true }
},
"flow_context": {
"step_outputs": {
"synthesis_specification": "...",
"individual_artifacts": "...",
"pattern_analysis": "...",
"dependency_context": "..."
}
},
"session": {
"workflow_dir": ".workflow/active/WFS-session/",
"context_package_path": ".workflow/active/WFS-session/.process/context-package.json",
"todo_list_path": ".workflow/active/WFS-session/TODO_LIST.md",
"summaries_dir": ".workflow/active/WFS-session/.summaries/",
"task_json_path": ".workflow/active/WFS-session/.task/IMPL-1.1.json"
},
"dependencies": [ /* Task summaries from depends_on */ ],
"inherited": { /* Parent task context */ }
}
```
### Context Validation Rules
- **Task JSON Complete**: All 5 fields present and valid, including artifacts array in context
- **Artifacts Available**: All artifacts loaded from context-package.json
- **Flow Control Ready**: All pre_analysis steps completed including artifact loading steps
- **Dependencies Loaded**: All depends_on summaries available
- **Session Paths Valid**: All workflow paths exist and accessible (verified via context-package.json)
- **Agent Assignment**: Valid agent type specified in meta.agent
## Agent Execution Pattern
### Flow Control Execution
**[FLOW_CONTROL]** marker indicates task JSON contains `flow_control.pre_analysis` steps for context preparation.
**Orchestrator Responsibility**:
- Pass complete task JSON to agent (including `flow_control` block)
- Provide session paths for artifact access
- Monitor agent completion
**Agent Responsibility**:
- Parse `flow_control.pre_analysis` array from JSON
- Execute steps sequentially with variable substitution
- Accumulate context from artifacts and dependencies
- Follow error handling per `step.on_error`
- Complete implementation using accumulated context
**Orchestrator does NOT execute flow control steps - Agent interprets and executes them from JSON.**
**Note**: Orchestrator does NOT execute flow control steps - Agent interprets and executes them autonomously.
### Agent Prompt Template
**Dynamic Generation**: Before agent invocation, read task JSON and extract key requirements.
```bash
Task(subagent_type="{meta.agent}",
prompt="**EXECUTE TASK FROM JSON**
run_in_background=false,
prompt="Execute task: {task.title}
## Task JSON Location
{session.task_json_path}
{[FLOW_CONTROL]}
## Instructions
1. **Load Complete Task JSON**: Read and validate all fields (id, title, status, meta, context, flow_control)
2. **Execute Flow Control**: If `flow_control.pre_analysis` exists, execute steps sequentially:
- Load artifacts (role analysis documents, role analyses) using commands in each step
- Accumulate context from step outputs using variable substitution [variable_name]
- Handle errors per step.on_error (skip_optional | fail | retry_once)
3. **Implement Solution**: Follow `flow_control.implementation_approach` using accumulated context
4. **Complete Task**:
- Update task status: `jq '.status = \"completed\"' {session.task_json_path} > temp.json && mv temp.json {session.task_json_path}`
- Update TODO_LIST.md: Mark task as [x] completed in {session.todo_list_path}
- Generate summary: {session.summaries_dir}/{task.id}-summary.md
- Check workflow completion and call `/workflow:session:complete` if all tasks done
**Task Objectives** (from task JSON):
{task.context.objective}
## Context Sources (All from JSON)
- Requirements: `context.requirements`
- Focus Paths: `context.focus_paths`
- Acceptance: `context.acceptance`
- Artifacts: `context.artifacts` (synthesis specs, brainstorming outputs)
- Dependencies: `context.depends_on`
- Target Files: `flow_control.target_files`
**Expected Deliverables** (from task JSON):
{task.context.deliverables}
## Session Paths
**Quality Standards** (from task JSON):
{task.context.acceptance_criteria}
**MANDATORY FIRST STEPS**:
1. Read complete task JSON: {session.task_json_path}
2. Load context package: {session.context_package_path}
**Session Paths**:
- Workflow Dir: {session.workflow_dir}
- TODO List: {session.todo_list_path}
- Summaries: {session.summaries_dir}
- Flow Context: {flow_context.step_outputs}
- Summaries Dir: {session.summaries_dir}
- Context Package: {session.context_package_path}
**Complete JSON structure is authoritative - load and follow it exactly.**"),
description="Execute task: {task.id}")
**Success Criteria**: Complete all objectives, meet all quality standards, deliver all outputs as specified above.",
description="Executing: {task.title}")
```
### Agent JSON Loading Specification
**MANDATORY AGENT PROTOCOL**: All agents must follow this exact loading sequence:
1. **JSON Loading**: First action must be `cat {session.task_json_path}`
2. **Field Validation**: Verify all 5 required fields exist: `id`, `title`, `status`, `meta`, `context`, `flow_control`
3. **Structure Parsing**: Parse nested fields correctly:
- `meta.type` and `meta.agent` (NOT flat `task_type`)
- `context.requirements`, `context.focus_paths`, `context.acceptance`
- `context.depends_on`, `context.inherited`
- `flow_control.pre_analysis` array, `flow_control.target_files`
4. **Flow Control Execution**: If `flow_control.pre_analysis` exists, execute steps sequentially
5. **Status Management**: Update JSON status upon completion
**JSON Field Reference**:
```json
{
"id": "IMPL-1.2",
"title": "Task title",
"status": "pending|active|completed|blocked",
"meta": {
"type": "feature|bugfix|refactor|test-gen|test-fix|docs",
"agent": "@code-developer|@test-fix-agent|@universal-executor"
},
"context": {
"requirements": ["req1", "req2"],
"focus_paths": ["src/path1", "src/path2"],
"acceptance": ["criteria1", "criteria2"],
"depends_on": ["IMPL-1.1"],
"inherited": { "from": "parent", "context": ["info"] },
"artifacts": [
{
"type": "synthesis_specification",
"source": "context-package.json → brainstorm_artifacts.synthesis_output",
"path": "{{loaded dynamically from context-package.json}}",
"priority": "highest",
"contains": "complete_integrated_specification"
},
{
"type": "individual_role_analysis",
"source": "context-package.json → brainstorm_artifacts.role_analyses[]",
"path": "{{loaded dynamically from context-package.json}}",
"note": "Supports analysis*.md pattern (analysis.md, analysis-01.md, analysis-api.md, etc.)",
"priority": "low",
"contains": "role_specific_analysis_fallback"
}
]
},
"flow_control": {
"pre_analysis": [
{
"step": "load_synthesis_specification",
"action": "Load synthesis specification from context-package.json",
"commands": [
"Read(.workflow/active/WFS-[session]/.process/context-package.json)",
"Extract(brainstorm_artifacts.synthesis_output.path)",
"Read(extracted path)"
],
"output_to": "synthesis_specification",
"on_error": "skip_optional"
},
{
"step": "step_name",
"command": "bash_command",
"output_to": "variable",
"on_error": "skip_optional|fail|retry_once"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Implement task following role analyses",
"description": "Implement '[title]' following role analyses. PRIORITY: Use role analysis documents as primary requirement source. When implementation needs technical details (e.g., API schemas, caching configs, design tokens), refer to artifacts[] for detailed specifications from original role analyses.",
"modification_points": [
"Apply consolidated requirements from role analysis documents",
"Follow technical guidelines from synthesis",
"Consult artifacts for implementation details when needed",
"Integrate with existing patterns"
],
"logic_flow": [
"Load role analyses",
"Parse architecture and requirements",
"Implement following specification",
"Consult artifacts for technical details when needed",
"Validate against acceptance criteria"
],
"depends_on": [],
"output": "implementation"
}
],
"target_files": ["file:function:lines", "path/to/NewFile.ts"]
}
}
```
### Execution Flow
1. **Load Task JSON**: Agent reads and validates complete JSON structure
2. **Execute Flow Control**: Agent runs pre_analysis steps if present
3. **Prepare Implementation**: Agent uses implementation_approach from JSON
4. **Launch Implementation**: Agent follows focus_paths and target_files
5. **Update Status**: Agent marks JSON status as completed
6. **Generate Summary**: Agent creates completion summary
### Agent Assignment Rules
```
meta.agent specified → Use specified agent
@@ -568,7 +437,7 @@ meta.agent missing → Infer from meta.type:
.workflow/active/WFS-[topic-slug]/
├── workflow-session.json # Session state and metadata
├── IMPL_PLAN.md # Planning document and requirements
├── TODO_LIST.md # Progress tracking (auto-updated)
├── TODO_LIST.md # Progress tracking (updated by agents)
├── .task/ # Task definitions (JSON only)
│ ├── IMPL-1.json # Main task definitions
│ └── IMPL-1.1.json # Subtask definitions
@@ -603,28 +472,3 @@ meta.agent missing → Infer from meta.type:
- **Dependency Validation**: Check all depends_on references exist
- **Context Verification**: Ensure all required context is available
### Recovery Procedures
**Session Recovery**:
```bash
# Check session integrity
find .workflow/active/ -name "WFS-*" -type d | while read session_dir; do
session=$(basename "$session_dir")
[ ! -f "$session_dir/workflow-session.json" ] && \
echo '{"session_id":"'$session'","status":"active"}' > "$session_dir/workflow-session.json"
done
```
**Task Recovery**:
```bash
# Validate task JSON integrity
for task_file in .workflow/active/$session/.task/*.json; do
jq empty "$task_file" 2>/dev/null || echo "Corrupted: $task_file"
done
# Fix missing dependencies
missing_deps=$(jq -r '.context.depends_on[]?' .workflow/active/$session/.task/*.json | sort -u)
for dep in $missing_deps; do
[ ! -f ".workflow/active/$session/.task/$dep.json" ] && echo "Missing dependency: $dep"
done
```

View File

@@ -10,555 +10,156 @@ examples:
# Workflow Init Command (/workflow:init)
## Overview
Initializes `.workflow/project.json` with comprehensive project understanding by leveraging **cli-explore-agent** for intelligent analysis and **memory discovery** for SKILL package indexing.
Initialize `.workflow/project.json` with comprehensive project understanding by delegating analysis to **cli-explore-agent**.
**Key Features**:
- **Intelligent Project Analysis**: Uses cli-explore-agent's Deep Scan mode
- **Technology Stack Detection**: Identifies languages, frameworks, build tools
- **Architecture Overview**: Discovers patterns, layers, key components
- **Memory Discovery**: Scans and indexes available SKILL packages
- **Smart Recommendations**: Suggests memory commands based on project state
- **One-time Initialization**: Skips if project.json exists (unless --regenerate)
**Note**: This command may be called by other workflow commands. Upon completion, return immediately to continue the calling workflow without interrupting the task flow.
## Usage
```bash
/workflow:init # Initialize project state (skip if exists)
/workflow:init --regenerate # Force regeneration of project.json
/workflow:init # Initialize (skip if exists)
/workflow:init --regenerate # Force regeneration
```
## Implementation Flow
## Execution Process
### Step 1: Check Existing State
```
Input Parsing:
└─ Parse --regenerate flag → regenerate = true | false
Decision:
├─ EXISTS + no --regenerate → Exit: "Already initialized"
├─ EXISTS + --regenerate → Backup existing → Continue analysis
└─ NOT_FOUND → Continue analysis
Analysis Flow:
├─ Get project metadata (name, root)
├─ Invoke cli-explore-agent
│ ├─ Structural scan (get_modules_by_depth.sh, find, wc)
│ ├─ Semantic analysis (Gemini CLI)
│ ├─ Synthesis and merge
│ └─ Write .workflow/project.json
└─ Display summary
Output:
└─ .workflow/project.json (+ .backup if regenerate)
```
## Implementation
### Step 1: Parse Input and Check Existing State
**Parse --regenerate flag**:
```javascript
const regenerate = $ARGUMENTS.includes('--regenerate')
```
**Check existing state**:
```bash
# Check if project.json already exists
bash(test -f .workflow/project.json && echo "EXISTS" || echo "NOT_FOUND")
```
**If EXISTS and no --regenerate flag**:
**If EXISTS and no --regenerate**: Exit early
```
Project already initialized at .workflow/project.json
Use /workflow:init --regenerate to rebuild project analysis
Use /workflow:status --project to view current state
Use /workflow:init --regenerate to rebuild
Use /workflow:status --project to view state
```
**If NOT_FOUND or --regenerate flag**: Proceed to initialization
### Step 2: Project Discovery
### Step 2: Get Project Metadata
```bash
# Get project name and root
bash(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
bash(git rev-parse --show-toplevel 2>/dev/null || pwd)
# Create .workflow directory
bash(mkdir -p .workflow)
```
### Step 3: Intelligent Project Analysis
### Step 3: Invoke cli-explore-agent
**Invoke cli-explore-agent** with Deep Scan mode for comprehensive understanding:
**For --regenerate**: Backup and preserve existing data
```bash
bash(cp .workflow/project.json .workflow/project.json.backup)
```
**Delegate analysis to agent**:
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description="Deep project analysis",
prompt=`
Analyze project structure and technology stack for workflow initialization.
Analyze project for workflow initialization and generate .workflow/project.json.
## Analysis Objective
Perform Deep Scan analysis to build comprehensive project understanding for .workflow/project.json initialization.
## MANDATORY FIRST STEPS
1. Execute: cat ~/.claude/workflows/cli-templates/schemas/project-json-schema.json (get schema reference)
2. Execute: ccw tool exec get_modules_by_depth '{}' (get project structure)
## Required Analysis
## Task
Generate complete project.json with:
- project_name: ${projectName}
- initialized_at: current ISO timestamp
- overview: {description, technology_stack, architecture, key_components}
- features: ${regenerate ? 'preserve from backup' : '[] (empty)'}
- development_index: ${regenerate ? 'preserve from backup' : '{feature: [], enhancement: [], bugfix: [], refactor: [], docs: []}'}
- statistics: ${regenerate ? 'preserve from backup' : '{total_features: 0, total_sessions: 0, last_updated}'}
- _metadata: {initialized_by: "cli-explore-agent", analysis_timestamp, analysis_mode}
### 1. Technology Stack Detection
- **Primary Languages**: Identify all programming languages with file counts
- **Frameworks**: Detect web frameworks (React, Vue, Express, Django, etc.)
- **Build Tools**: Identify build systems (npm, cargo, maven, gradle, etc.)
- **Test Frameworks**: Find testing tools (jest, pytest, go test, etc.)
## Analysis Requirements
### 2. Project Architecture
- **Architecture Style**: Identify patterns (MVC, microservices, monorepo, etc.)
- **Layer Structure**: Discover architectural layers (presentation, business, data)
- **Design Patterns**: Find common patterns (singleton, factory, repository, etc.)
- **Key Components**: List 5-10 core modules/components with brief descriptions
**Technology Stack**:
- Languages: File counts, mark primary
- Frameworks: From package.json, requirements.txt, go.mod, etc.
- Build tools: npm, cargo, maven, webpack, vite
- Test frameworks: jest, pytest, go test, junit
### 3. Project Metrics
- **Total Files**: Count source code files
- **Lines of Code**: Estimate total LOC
- **Module Count**: Number of top-level modules/packages
- **Complexity**: Overall complexity rating (low/medium/high)
**Architecture**:
- Style: MVC, microservices, layered (from structure & imports)
- Layers: presentation, business-logic, data-access
- Patterns: singleton, factory, repository
- Key components: 5-10 modules {name, path, description, importance}
### 4. Entry Points
- **Main Entry**: Identify primary application entry point(s)
- **CLI Commands**: Discover available commands/scripts
- **API Endpoints**: Find HTTP/REST/GraphQL endpoints (if applicable)
## Execution
1. Structural scan: get_modules_by_depth.sh, find, wc -l
2. Semantic analysis: Gemini for patterns/architecture
3. Synthesis: Merge findings
4. ${regenerate ? 'Merge with preserved features/development_index/statistics from .workflow/project.json.backup' : ''}
5. Write JSON: Write('.workflow/project.json', jsonContent)
6. Report: Return brief completion summary
## Execution Mode
Use **Deep Scan** with Dual-Source Strategy:
- Phase 1: Bash structural scan (fast pattern discovery)
- Phase 2: Gemini semantic analysis (design intent, patterns)
- Phase 3: Synthesis (merge findings with attribution)
## Analysis Scope
- Root directory: ${projectRoot}
- Exclude: node_modules, dist, build, .git, vendor, __pycache__
- Focus: Source code directories (src, lib, pkg, app, etc.)
## Output Format
Return JSON structure for programmatic processing:
\`\`\`json
{
"technology_stack": {
"languages": [
{"name": "TypeScript", "file_count": 150, "primary": true},
{"name": "Python", "file_count": 30, "primary": false}
],
"frameworks": ["React", "Express", "TypeORM"],
"build_tools": ["npm", "webpack"],
"test_frameworks": ["Jest", "Supertest"]
},
"architecture": {
"style": "Layered MVC with Repository Pattern",
"layers": ["presentation", "business-logic", "data-access"],
"patterns": ["MVC", "Repository Pattern", "Dependency Injection"],
"key_components": [
{
"name": "Authentication Module",
"path": "src/auth",
"description": "JWT-based authentication with OAuth2 support",
"importance": "high"
},
{
"name": "User Management",
"path": "src/users",
"description": "User CRUD operations and profile management",
"importance": "high"
}
]
},
"metrics": {
"total_files": 180,
"lines_of_code": 15000,
"module_count": 12,
"complexity": "medium"
},
"entry_points": {
"main": "src/index.ts",
"cli_commands": ["npm start", "npm test", "npm run build"],
"api_endpoints": ["/api/auth", "/api/users", "/api/posts"]
},
"analysis_metadata": {
"timestamp": "2025-01-18T10:30:00Z",
"mode": "deep-scan",
"source": "cli-explore-agent"
}
}
\`\`\`
## Quality Requirements
- ✅ All technology stack items verified (no guessing)
- ✅ Key components include file paths for navigation
- ✅ Architecture style based on actual code patterns, not assumptions
- ✅ Metrics calculated from actual file counts/lines
- ✅ Entry points verified as executable
`
Project root: ${projectRoot}
`
)
```
**Agent Output**: JSON structure with comprehensive project analysis
### Step 4: Display Summary
### Step 4: Build project.json from Analysis
**Data Processing**:
```javascript
// Parse agent analysis output
const analysis = JSON.parse(agentOutput);
const projectJson = JSON.parse(Read('.workflow/project.json'));
// Build complete project.json structure
const projectMeta = {
// Basic metadata
project_name: projectName,
initialized_at: new Date().toISOString(),
// Project overview (from cli-explore-agent)
overview: {
description: generateDescription(analysis), // e.g., "TypeScript web application with React frontend"
technology_stack: analysis.technology_stack,
architecture: {
style: analysis.architecture.style,
layers: analysis.architecture.layers,
patterns: analysis.architecture.patterns
},
key_components: analysis.architecture.key_components,
entry_points: analysis.entry_points,
metrics: analysis.metrics
},
// Feature registry (initially empty, populated by complete)
features: [],
// Statistics
statistics: {
total_features: 0,
total_sessions: 0,
last_updated: new Date().toISOString()
},
// Analysis metadata
_metadata: {
initialized_by: "cli-explore-agent",
analysis_timestamp: analysis.analysis_metadata.timestamp,
analysis_mode: analysis.analysis_metadata.mode
}
};
// Helper: Generate project description
function generateDescription(analysis) {
const primaryLang = analysis.technology_stack.languages.find(l => l.primary);
const frameworks = analysis.technology_stack.frameworks.slice(0, 2).join(', ');
return `${primaryLang.name} project using ${frameworks}`;
}
// Write to .workflow/project.json
Write('.workflow/project.json', JSON.stringify(projectMeta, null, 2));
```
### Step 5: Output Summary
```
console.log(`
✓ Project initialized successfully
## Project Overview
Name: ${projectName}
Description: ${overview.description}
Name: ${projectJson.project_name}
Description: ${projectJson.overview.description}
### Technology Stack
Languages: ${languages.map(l => l.name).join(', ')}
Frameworks: ${frameworks.join(', ')}
Languages: ${projectJson.overview.technology_stack.languages.map(l => l.name).join(', ')}
Frameworks: ${projectJson.overview.technology_stack.frameworks.join(', ')}
### Architecture
Style: ${architecture.style}
Components: ${key_components.length} core modules identified
### Project Metrics
Files: ${metrics.total_files}
LOC: ${metrics.lines_of_code}
Complexity: ${metrics.complexity}
### Memory Resources
SKILL Packages: ${memory_resources.skills.length}
Documentation: ${memory_resources.documentation.length} project(s)
Module Docs: ${memory_resources.module_docs.length} file(s)
Gaps: ${memory_resources.gaps.join(', ') || 'none'}
## Quick Start
• /workflow:plan "feature description" - Start new workflow
• /workflow:status --project - View project state
Style: ${projectJson.overview.architecture.style}
Components: ${projectJson.overview.key_components.length} core modules
---
Project state saved to: .workflow/project.json
Memory index updated: ${memory_resources.last_scanned}
Project state: .workflow/project.json
${regenerate ? 'Backup: .workflow/project.json.backup' : ''}
`);
```
## Extended project.json Schema
### Complete Structure
```json
{
"project_name": "claude_dms3",
"initialized_at": "2025-01-18T10:00:00Z",
"overview": {
"description": "TypeScript workflow automation system with AI agent orchestration",
"technology_stack": {
"languages": [
{"name": "TypeScript", "file_count": 150, "primary": true},
{"name": "Bash", "file_count": 30, "primary": false}
],
"frameworks": ["Node.js"],
"build_tools": ["npm"],
"test_frameworks": ["Jest"]
},
"architecture": {
"style": "Agent-based workflow orchestration with modular command system",
"layers": ["command-layer", "agent-orchestration", "cli-integration"],
"patterns": ["Command Pattern", "Agent Pattern", "Template Method"]
},
"key_components": [
{
"name": "Workflow Planning",
"path": ".claude/commands/workflow",
"description": "Multi-phase planning workflow with brainstorming and task generation",
"importance": "high"
},
{
"name": "Agent System",
"path": ".claude/agents",
"description": "Specialized agents for code development, testing, documentation",
"importance": "high"
},
{
"name": "CLI Tool Integration",
"path": ".claude/scripts",
"description": "Gemini, Qwen, Codex wrapper scripts for AI-powered analysis",
"importance": "medium"
}
],
"entry_points": {
"main": ".claude/commands/workflow/plan.md",
"cli_commands": ["/workflow:plan", "/workflow:execute", "/memory:docs"],
"api_endpoints": []
},
"metrics": {
"total_files": 180,
"lines_of_code": 15000,
"module_count": 12,
"complexity": "medium"
}
},
"features": [],
"statistics": {
"total_features": 0,
"total_sessions": 0,
"last_updated": "2025-01-18T10:00:00Z"
},
"memory_resources": {
"skills": [
{"name": "claude_dms3", "type": "project_docs", "path": ".claude/skills/claude_dms3"},
{"name": "workflow-progress", "type": "workflow_progress", "path": ".claude/skills/workflow-progress"}
],
"documentation": [
{
"name": "claude_dms3",
"path": ".workflow/docs/claude_dms3",
"has_readme": true,
"has_architecture": true
}
],
"module_docs": [
".claude/commands/workflow/CLAUDE.md",
".claude/agents/CLAUDE.md"
],
"gaps": ["tech_stack"],
"last_scanned": "2025-01-18T10:05:00Z"
},
"_metadata": {
"initialized_by": "cli-explore-agent",
"analysis_timestamp": "2025-01-18T10:00:00Z",
"analysis_mode": "deep-scan",
"memory_scan_timestamp": "2025-01-18T10:05:00Z"
}
}
```
### Phase 5: Discover Memory Resources
**Goal**: Scan and index available SKILL packages (memory command products) using agent delegation
**Invoke general-purpose agent** to discover and catalog all memory products:
```javascript
Task(
subagent_type="general-purpose",
description="Discover memory resources",
prompt=`
Discover and index all memory command products: SKILL packages, documentation, and CLAUDE.md files.
## Discovery Scope
1. **SKILL Packages** (.claude/skills/) - Generated by /memory:skill-memory, /memory:tech-research, etc.
2. **Documentation** (.workflow/docs/) - Generated by /memory:docs
3. **Module Docs** (**/CLAUDE.md) - Generated by /memory:update-full, /memory:update-related
## Discovery Tasks
### 1. Scan SKILL Packages
- List all directories in .claude/skills/
- For each: extract name, classify type, record path
- Types: workflow-progress | codemap-* | style-* | tech_stacks | project_docs
### 2. Scan Documentation
- List directories in .workflow/docs/
- For each project: name, path, check README.md, ARCHITECTURE.md existence
### 3. Scan CLAUDE.md Files
- Find all **/CLAUDE.md (exclude: node_modules, .git, dist, build)
- Return path list only
### 4. Identify Gaps
- No project SKILL? → "project_skill"
- No documentation? → "documentation"
- Missing tech stack SKILL? → "tech_stack"
- No workflow-progress? → "workflow_history"
- <10% modules have CLAUDE.md? → "module_docs_low_coverage"
### 5. Return JSON:
{
"skills": [
{"name": "claude_dms3", "type": "project_docs", "path": ".claude/skills/claude_dms3"},
{"name": "workflow-progress", "type": "workflow_progress", "path": ".claude/skills/workflow-progress"}
],
"documentation": [
{
"name": "my_project",
"path": ".workflow/docs/my_project",
"has_readme": true,
"has_architecture": true
}
],
"module_docs": [
"src/core/CLAUDE.md",
"lib/utils/CLAUDE.md"
],
"gaps": ["tech_stack", "module_docs_low_coverage"]
}
## Context
- Project tech stack: ${JSON.stringify(analysis.technology_stack)}
- Check .workflow/.archives for session history
- If directories missing, return empty state with recommendations
`
)
```
**Agent Output**: JSON structure with skills, documentation, module_docs, and gaps
**Update project.json**:
```javascript
const memoryDiscovery = JSON.parse(agentOutput);
projectMeta.memory_resources = {
...memoryDiscovery,
last_scanned: new Date().toISOString()
};
Write('.workflow/project.json', JSON.stringify(projectMeta, null, 2));
```
**Output Summary**:
```
Memory Resources Indexed:
- SKILL Packages: ${skills.length}
- Documentation: ${documentation.length} project(s)
- Module Docs: ${module_docs.length} file(s)
- Gaps: ${gaps.join(', ') || 'none'}
```
---
## Regeneration Behavior
When using `--regenerate` flag:
1. **Backup existing file**:
```bash
bash(cp .workflow/project.json .workflow/project.json.backup)
```
2. **Preserve features array**:
```javascript
const existingMeta = JSON.parse(Read('.workflow/project.json'));
const preservedFeatures = existingMeta.features || [];
const preservedStats = existingMeta.statistics || {};
```
3. **Re-run cli-explore-agent analysis**
4. **Re-run memory discovery (Phase 5)**
5. **Merge preserved data with new analysis**:
```javascript
const newProjectMeta = {
...analysisResults,
features: preservedFeatures, // Keep existing features
statistics: preservedStats // Keep statistics
};
```
6. **Output**:
```
✓ Project analysis regenerated
Backup saved: .workflow/project.json.backup
Updated:
- Technology stack analysis
- Architecture overview
- Key components discovery
- Memory resources index
Preserved:
- ${preservedFeatures.length} existing features
- Session statistics
```
## Error Handling
### Agent Failure
```
If cli-explore-agent fails:
1. Fall back to basic initialization
2. Use get_modules_by_depth.sh for structure
3. Create minimal project.json with placeholder overview
4. Log warning: "Project initialized with basic analysis. Run /workflow:init --regenerate for full analysis"
```
### Missing Tools
```
If Gemini CLI unavailable:
1. Agent uses Qwen fallback
2. If both fail, use bash-only analysis
3. Mark in _metadata: "analysis_mode": "bash-fallback"
```
### Invalid Project Root
```
If not in git repo and empty directory:
1. Warn user: "Empty project detected"
2. Create minimal project.json
3. Suggest: "Add code files and run /workflow:init --regenerate"
```
### Memory Discovery Failures
**Missing Directories**:
```
If .claude/skills, .workflow/docs, or CLAUDE.md files not found:
1. Return empty state for that category
2. Mark in gaps.missing array
3. Continue initialization
```
**Metadata Read Failures**:
```
If SKILL.md files are unreadable:
1. Include SKILL with basic info: name (from directory), type (inferred), path
2. Log warning: "SKILL package {name} has invalid metadata"
3. Continue with other SKILLs
```
**Coverage Check Failures**:
```
If unable to determine module doc coverage:
1. Skip adding "module_docs_low_coverage" to gaps
2. Continue with other gap checks
```
**Default Empty State**:
```json
{
"memory_resources": {
"skills": [],
"documentation": [],
"module_docs": [],
"gaps": ["project_skill", "documentation", "tech_stack", "workflow_history", "module_docs"],
"last_scanned": "ISO_TIMESTAMP"
}
}
```
**Agent Failure**: Fall back to basic initialization with placeholder overview
**Missing Tools**: Agent uses Qwen fallback or bash-only
**Empty Project**: Create minimal JSON with all gaps identified

View File

@@ -92,7 +92,7 @@ AskUserQuestion({
**Trigger**: User calls with file path
**Input**: Path to file containing task description or Enhanced Task JSON
**Input**: Path to file containing task description or plan.json
**Step 1: Read and Detect Format**
@@ -103,42 +103,30 @@ fileContent = Read(filePath)
try {
jsonData = JSON.parse(fileContent)
// Check if Enhanced Task JSON from lite-plan
if (jsonData.meta?.workflow === "lite-plan") {
// Extract plan data
planObject = {
summary: jsonData.context.plan.summary,
approach: jsonData.context.plan.approach,
tasks: jsonData.context.plan.tasks,
estimated_time: jsonData.meta.estimated_time,
recommended_execution: jsonData.meta.recommended_execution,
complexity: jsonData.meta.complexity
}
explorationContext = jsonData.context.exploration || null
clarificationContext = jsonData.context.clarifications || null
originalUserInput = jsonData.title
isEnhancedTaskJson = true
// Check if plan.json from lite-plan session
if (jsonData.summary && jsonData.approach && jsonData.tasks) {
planObject = jsonData
originalUserInput = jsonData.summary
isPlanJson = true
} else {
// Valid JSON but not Enhanced Task JSON - treat as plain text
// Valid JSON but not plan.json - treat as plain text
originalUserInput = fileContent
isEnhancedTaskJson = false
isPlanJson = false
}
} catch {
// Not valid JSON - treat as plain text prompt
originalUserInput = fileContent
isEnhancedTaskJson = false
isPlanJson = false
}
```
**Step 2: Create Execution Plan**
If `isEnhancedTaskJson === true`:
- Use extracted `planObject` directly
- Skip planning, use lite-plan's existing plan
- User still selects execution method and code review
If `isPlanJson === true`:
- Use `planObject` directly
- User selects execution method and code review
If `isEnhancedTaskJson === false`:
If `isPlanJson === false`:
- Treat file content as prompt (same behavior as Mode 2)
- Create simple execution plan from content
@@ -150,26 +138,30 @@ If `isEnhancedTaskJson === false`:
## Execution Process
### Workflow Overview
```
Input Processing → Mode Detection
|
v
[Mode 1] --in-memory: Load executionContext → Skip selection
[Mode 2] Prompt: Create plan → User selects method + review
[Mode 3] File: Detect format → Extract plan OR treat as prompt → User selects
|
v
Execution & Progress Tracking
├─ Step 1: Initialize execution tracking
├─ Step 2: Create TodoWrite execution list
├─ Step 3: Launch execution (Agent or Codex)
├─ Step 4: Track execution progress
└─ Step 5: Code review (optional)
|
v
Execution Complete
Input Parsing:
└─ Decision (mode detection):
├─ --in-memory flag → Mode 1: Load executionContext → Skip user selection
├─ Ends with .md/.json/.txt → Mode 3: Read file → Detect format
│ ├─ Valid plan.json → Use planObject → User selects method + review
│ └─ Not plan.json → Treat as prompt → User selects method + review
└─ Other → Mode 2: Prompt description → User selects method + review
Execution:
├─ Step 1: Initialize result tracking (previousExecutionResults = [])
├─ Step 2: Task grouping & batch creation
├─ Extract explicit depends_on (no file/keyword inference)
├─ Group: independent tasks → single parallel batch (maximize utilization)
│ ├─ Group: dependent tasks → sequential phases (respect dependencies)
│ └─ Create TodoWrite list for batches
├─ Step 3: Launch execution
│ ├─ Phase 1: All independent tasks (⚡ single batch, concurrent)
│ └─ Phase 2+: Dependent tasks by dependency order
├─ Step 4: Track progress (TodoWrite updates per batch)
└─ Step 5: Code review (if codeReviewTool ≠ "Skip")
Output:
└─ Execution complete with results in previousExecutionResults[]
```
## Detailed Execution Steps
@@ -189,66 +181,68 @@ previousExecutionResults = []
**Dependency Analysis & Grouping Algorithm**:
```javascript
// Infer dependencies: same file → sequential, keywords (use/integrate) → sequential
function inferDependencies(tasks) {
return tasks.map((task, i) => {
const deps = []
const file = task.file || task.title.match(/in\s+([^\s:]+)/)?.[1]
const keywords = (task.description || task.title).toLowerCase()
// Use explicit depends_on from plan.json (no inference from file/keywords)
function extractDependencies(tasks) {
const taskIdToIndex = {}
tasks.forEach((t, i) => { taskIdToIndex[t.id] = i })
for (let j = 0; j < i; j++) {
const prevFile = tasks[j].file || tasks[j].title.match(/in\s+([^\s:]+)/)?.[1]
if (file && prevFile === file) deps.push(j) // Same file
else if (/use|integrate|call|import/.test(keywords)) deps.push(j) // Keyword dependency
}
return tasks.map((task, i) => {
// Only use explicit depends_on from plan.json
const deps = (task.depends_on || [])
.map(depId => taskIdToIndex[depId])
.filter(idx => idx !== undefined && idx < i)
return { ...task, taskIndex: i, dependencies: deps }
})
}
// Group into batches: independent → parallel [P1,P2...], dependent → sequential [S1,S2...]
// Group into batches: maximize parallel execution
function createExecutionCalls(tasks, executionMethod) {
const tasksWithDeps = inferDependencies(tasks)
const maxBatch = executionMethod === "Codex" ? 4 : 7
const calls = []
const tasksWithDeps = extractDependencies(tasks)
const processed = new Set()
const calls = []
// Parallel: independent tasks, different files, max batch size
const parallelGroups = []
tasksWithDeps.forEach(t => {
if (t.dependencies.length === 0 && !processed.has(t.taskIndex)) {
const group = [t]
processed.add(t.taskIndex)
tasksWithDeps.forEach(o => {
if (!o.dependencies.length && !processed.has(o.taskIndex) &&
group.length < maxBatch && t.file !== o.file) {
group.push(o)
processed.add(o.taskIndex)
}
})
parallelGroups.push(group)
}
})
// Sequential: dependent tasks, batch when deps satisfied
const remaining = tasksWithDeps.filter(t => !processed.has(t.taskIndex))
while (remaining.length > 0) {
const batch = remaining.filter((t, i) =>
i < maxBatch && t.dependencies.every(d => processed.has(d))
)
if (!batch.length) break
batch.forEach(t => processed.add(t.taskIndex))
calls.push({ executionType: "sequential", groupId: `S${calls.length + 1}`, tasks: batch })
remaining.splice(0, remaining.length, ...remaining.filter(t => !processed.has(t.taskIndex)))
// Phase 1: All independent tasks → single parallel batch (maximize utilization)
const independentTasks = tasksWithDeps.filter(t => t.dependencies.length === 0)
if (independentTasks.length > 0) {
independentTasks.forEach(t => processed.add(t.taskIndex))
calls.push({
method: executionMethod,
executionType: "parallel",
groupId: "P1",
taskSummary: independentTasks.map(t => t.title).join(' | '),
tasks: independentTasks
})
}
// Combine results
return [
...parallelGroups.map((g, i) => ({
method: executionMethod, executionType: "parallel", groupId: `P${i+1}`,
taskSummary: g.map(t => t.title).join(' | '), tasks: g
})),
...calls.map(c => ({ ...c, method: executionMethod, taskSummary: c.tasks.map(t => t.title).join(' → ') }))
]
// Phase 2: Dependent tasks → sequential batches (respect dependencies)
let sequentialIndex = 1
let remaining = tasksWithDeps.filter(t => !processed.has(t.taskIndex))
while (remaining.length > 0) {
// Find tasks whose dependencies are all satisfied
const ready = remaining.filter(t =>
t.dependencies.every(d => processed.has(d))
)
if (ready.length === 0) {
console.warn('Circular dependency detected, forcing remaining tasks')
ready.push(...remaining)
}
// Group ready tasks (can run in parallel within this phase)
ready.forEach(t => processed.add(t.taskIndex))
calls.push({
method: executionMethod,
executionType: ready.length > 1 ? "parallel" : "sequential",
groupId: ready.length > 1 ? `P${calls.length + 1}` : `S${sequentialIndex++}`,
taskSummary: ready.map(t => t.title).join(ready.length > 1 ? ' | ' : ' → '),
tasks: ready
})
remaining = remaining.filter(t => !processed.has(t.taskIndex))
}
return calls
}
executionCalls = createExecutionCalls(planObject.tasks, executionMethod).map(c => ({ ...c, id: `[${c.groupId}]` }))
@@ -264,6 +258,33 @@ TodoWrite({
### Step 3: Launch Execution
**Executor Resolution** (任务级 executor 优先于全局设置):
```javascript
// 获取任务的 executor优先使用 executorAssignmentsfallback 到全局 executionMethod
function getTaskExecutor(task) {
const assignments = executionContext?.executorAssignments || {}
if (assignments[task.id]) {
return assignments[task.id].executor // 'gemini' | 'codex' | 'agent'
}
// Fallback: 全局 executionMethod 映射
const method = executionContext?.executionMethod || 'Auto'
if (method === 'Agent') return 'agent'
if (method === 'Codex') return 'codex'
// Auto: 根据复杂度
return planObject.complexity === 'Low' ? 'agent' : 'codex'
}
// 按 executor 分组任务
function groupTasksByExecutor(tasks) {
const groups = { gemini: [], codex: [], agent: [] }
tasks.forEach(task => {
const executor = getTaskExecutor(task)
groups[executor].push(task)
})
return groups
}
```
**Execution Flow**: Parallel batches concurrently → Sequential batches in order
```javascript
const parallel = executionCalls.filter(c => c.executionType === "parallel")
@@ -289,71 +310,117 @@ for (const call of sequential) {
**Option A: Agent Execution**
When to use:
- `executionMethod = "Agent"`
- `executionMethod = "Auto" AND complexity = "Low"`
- `getTaskExecutor(task) === "agent"`
- `executionMethod = "Agent"` (全局 fallback)
-`executionMethod = "Auto" AND complexity = "Low"` (全局 fallback)
**Task Formatting Principle**: Each task is a self-contained checklist. The agent only needs to know what THIS task requires, not its position or relation to other tasks.
Agent call format:
```javascript
function formatTaskForAgent(task, index) {
// Format single task as self-contained checklist
function formatTaskChecklist(task) {
return `
### Task ${index + 1}: ${task.title}
**File**: ${task.file}
## ${task.title}
**Target**: \`${task.file}\`
**Action**: ${task.action}
**Description**: ${task.description}
**Implementation Steps**:
${task.implementation.map((step, i) => `${i + 1}. ${step}`).join('\n')}
### What to do
${task.description}
**Reference**:
### How to do it
${task.implementation.map(step => `- ${step}`).join('\n')}
### Reference
- Pattern: ${task.reference.pattern}
- Example Files: ${task.reference.files.join(', ')}
- Guidance: ${task.reference.examples}
- Examples: ${task.reference.files.join(', ')}
- Notes: ${task.reference.examples}
**Acceptance Criteria**:
${task.acceptance.map((criterion, i) => `${i + 1}. ${criterion}`).join('\n')}
### Done when
${task.acceptance.map(c => `- [ ] ${c}`).join('\n')}
`
}
// For batch execution: aggregate tasks without numbering
function formatBatchPrompt(batch) {
const tasksSection = batch.tasks.map(t => formatTaskChecklist(t)).join('\n---\n')
return `
${originalUserInput ? `## Goal\n${originalUserInput}\n` : ''}
## Tasks
${tasksSection}
${batch.context ? `## Context\n${batch.context}` : ''}
Complete each task according to its "Done when" checklist.
`
}
Task(
subagent_type="code-developer",
description="Implement planned tasks",
prompt=`
${originalUserInput ? `## Original User Request\n${originalUserInput}\n\n` : ''}
## Implementation Plan
**Summary**: ${planObject.summary}
**Approach**: ${planObject.approach}
## Task Breakdown (${planObject.tasks.length} tasks)
${planObject.tasks.map((task, i) => formatTaskForAgent(task, i)).join('\n')}
${previousExecutionResults.length > 0 ? `\n## Previous Execution Results\n${previousExecutionResults.map(result => `
[${result.executionId}] ${result.status}
Tasks: ${result.tasksSummary}
Completion: ${result.completionSummary}
Outputs: ${result.keyOutputs || 'See git diff'}
${result.notes ? `Notes: ${result.notes}` : ''}
`).join('\n---\n')}` : ''}
## Code Context
${explorationContext || "No exploration performed"}
${clarificationContext ? `\n## Clarifications\n${JSON.stringify(clarificationContext, null, 2)}` : ''}
${executionContext?.session?.artifacts ? `\n## Planning Artifacts
Detailed planning context available in:
${executionContext.session.artifacts.exploration ? `- Exploration: ${executionContext.session.artifacts.exploration}` : ''}
- Plan: ${executionContext.session.artifacts.plan}
- Task: ${executionContext.session.artifacts.task}
Read these files for detailed architecture, patterns, and constraints.` : ''}
## Requirements
MUST complete ALL ${planObject.tasks.length} tasks listed above in this single execution.
Return only after all tasks are fully implemented and tested.
`
run_in_background=false,
description=batch.taskSummary,
prompt=formatBatchPrompt({
tasks: batch.tasks,
context: buildRelevantContext(batch.tasks)
})
)
// Helper: Build relevant context for batch
// Context serves as REFERENCE ONLY - helps agent understand existing state
function buildRelevantContext(tasks) {
const sections = []
// 1. Previous work completion - what's already done (reference for continuity)
if (previousExecutionResults.length > 0) {
sections.push(`### Previous Work (Reference)
Use this to understand what's already completed. Avoid duplicating work.
${previousExecutionResults.map(r => `**${r.tasksSummary}**
- Status: ${r.status}
- Outputs: ${r.keyOutputs || 'See git diff'}
${r.notes ? `- Notes: ${r.notes}` : ''}`
).join('\n\n')}`)
}
// 2. Related files - files that may need to be read/referenced
const relatedFiles = extractRelatedFiles(tasks)
if (relatedFiles.length > 0) {
sections.push(`### Related Files (Reference)
These files may contain patterns, types, or utilities relevant to your tasks:
${relatedFiles.map(f => `- \`${f}\``).join('\n')}`)
}
// 3. Clarifications from user
if (clarificationContext) {
sections.push(`### User Clarifications
${Object.entries(clarificationContext).map(([q, a]) => `- **${q}**: ${a}`).join('\n')}`)
}
// 4. Artifact files (for deeper context if needed)
if (executionContext?.session?.artifacts?.plan) {
sections.push(`### Artifacts
For detailed planning context, read: ${executionContext.session.artifacts.plan}`)
}
return sections.join('\n\n')
}
// Extract related files from task references
function extractRelatedFiles(tasks) {
const files = new Set()
tasks.forEach(task => {
// Add reference example files
if (task.reference?.files) {
task.reference.files.forEach(f => files.add(f))
}
})
return [...files]
}
```
**Result Collection**: After completion, collect result following `executionResult` structure (see Data Structures section)
@@ -361,92 +428,145 @@ ${result.notes ? `Notes: ${result.notes}` : ''}
**Option B: CLI Execution (Codex)**
When to use:
- `executionMethod = "Codex"`
- `executionMethod = "Auto" AND complexity = "Medium" or "High"`
- `getTaskExecutor(task) === "codex"`
- `executionMethod = "Codex"` (全局 fallback)
-`executionMethod = "Auto" AND complexity = "Medium/High"` (全局 fallback)
**Artifact Path Delegation**:
- Include artifact file paths in CLI prompt for enhanced context
- Codex can read artifact files for detailed planning information
- Example: Reference exploration.json for architecture patterns
**Task Formatting Principle**: Same as Agent - each task is a self-contained checklist. No task numbering or position awareness.
Command format:
```bash
function formatTaskForCodex(task, index) {
// Format single task as compact checklist for CLI
function formatTaskForCLI(task) {
return `
${index + 1}. ${task.title} (${task.file})
Action: ${task.action}
What: ${task.description}
How:
${task.implementation.map((step, i) => ` ${i + 1}. ${step}`).join('\n')}
Reference: ${task.reference.pattern} (see ${task.reference.files.join(', ')})
Guidance: ${task.reference.examples}
Verify:
${task.acceptance.map((criterion, i) => ` - ${criterion}`).join('\n')}
## ${task.title}
File: ${task.file}
Action: ${task.action}
What: ${task.description}
How:
${task.implementation.map(step => `- ${step}`).join('\n')}
Reference: ${task.reference.pattern} (see ${task.reference.files.join(', ')})
Notes: ${task.reference.examples}
Done when:
${task.acceptance.map(c => `- [ ] ${c}`).join('\n')}
`
}
codex --full-auto exec "
${originalUserInput ? `## Original User Request\n${originalUserInput}\n\n` : ''}
// Build CLI prompt for batch
// Context provides REFERENCE information - not requirements to fulfill
function buildCLIPrompt(batch) {
const tasksSection = batch.tasks.map(t => formatTaskForCLI(t)).join('\n---\n')
## Implementation Plan
let prompt = `${originalUserInput ? `## Goal\n${originalUserInput}\n\n` : ''}`
prompt += `## Tasks\n\n${tasksSection}\n`
TASK: ${planObject.summary}
APPROACH: ${planObject.approach}
// Context section - reference information only
const contextSections = []
### Task Breakdown (${planObject.tasks.length} tasks)
${planObject.tasks.map((task, i) => formatTaskForCodex(task, i)).join('\n')}
// 1. Previous work - what's already completed
if (previousExecutionResults.length > 0) {
contextSections.push(`### Previous Work (Reference)
Already completed - avoid duplicating:
${previousExecutionResults.map(r => `- ${r.tasksSummary}: ${r.status}${r.keyOutputs ? ` (${r.keyOutputs})` : ''}`).join('\n')}`)
}
${previousExecutionResults.length > 0 ? `\n### Previous Execution Results\n${previousExecutionResults.map(result => `
[${result.executionId}] ${result.status}
Tasks: ${result.tasksSummary}
Status: ${result.completionSummary}
Outputs: ${result.keyOutputs || 'See git diff'}
${result.notes ? `Notes: ${result.notes}` : ''}
`).join('\n---\n')}
// 2. Related files from task references
const relatedFiles = [...new Set(batch.tasks.flatMap(t => t.reference?.files || []))]
if (relatedFiles.length > 0) {
contextSections.push(`### Related Files (Reference)
Patterns and examples to follow:
${relatedFiles.map(f => `- ${f}`).join('\n')}`)
}
IMPORTANT: Review previous results. Build on completed work. Avoid duplication.
` : ''}
// 3. User clarifications
if (clarificationContext) {
contextSections.push(`### Clarifications
${Object.entries(clarificationContext).map(([q, a]) => `- ${q}: ${a}`).join('\n')}`)
}
### Code Context from Exploration
${explorationContext ? `
Project Structure: ${explorationContext.project_structure || 'Standard structure'}
Relevant Files: ${explorationContext.relevant_files?.join(', ') || 'TBD'}
Current Patterns: ${explorationContext.patterns || 'Follow existing conventions'}
Integration Points: ${explorationContext.dependencies || 'None specified'}
Constraints: ${explorationContext.constraints || 'None'}
` : 'No prior exploration - analyze codebase as needed'}
// 4. Plan artifact for deeper context
if (executionContext?.session?.artifacts?.plan) {
contextSections.push(`### Artifacts
Detailed plan: ${executionContext.session.artifacts.plan}`)
}
${clarificationContext ? `\n### User Clarifications\n${Object.entries(clarificationContext).map(([q, a]) => `${q}: ${a}`).join('\n')}` : ''}
if (contextSections.length > 0) {
prompt += `\n## Context\n${contextSections.join('\n\n')}\n`
}
${executionContext?.session?.artifacts ? `\n### Planning Artifact Files
Detailed planning context available in session folder:
${executionContext.session.artifacts.exploration ? `- Exploration: ${executionContext.session.artifacts.exploration}` : ''}
- Plan: ${executionContext.session.artifacts.plan}
- Task: ${executionContext.session.artifacts.task}
prompt += `\nComplete each task according to its "Done when" checklist.`
Read these files for complete architecture details, code patterns, and integration constraints.
` : ''}
return prompt
}
## Requirements
MUST complete ALL ${planObject.tasks.length} tasks listed above in this single execution.
Return only after all tasks are fully implemented and tested.
Complexity: ${planObject.complexity}
" --skip-git-repo-check -s danger-full-access
ccw cli -p "${buildCLIPrompt(batch)}" --tool codex --mode write
```
**Execution with tracking**:
**Execution with fixed IDs** (predictable ID pattern):
```javascript
// Launch CLI in foreground (NOT background)
// Timeout based on complexity: Low=40min, Medium=60min, High=100min
const timeoutByComplexity = {
"Low": 2400000, // 40 minutes
"Medium": 3600000, // 60 minutes
"High": 6000000 // 100 minutes
}
// Generate fixed execution ID: ${sessionId}-${groupId}
// This enables predictable ID lookup without relying on resume context chains
const sessionId = executionContext?.session?.id || 'standalone'
const fixedExecutionId = `${sessionId}-${batch.groupId}` // e.g., "implement-auth-2025-12-13-P1"
// Check if resuming from previous failed execution
const previousCliId = batch.resumeFromCliId || null
// Build command with fixed ID (and optional resume for continuation)
const cli_command = previousCliId
? `ccw cli -p "${buildCLIPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId} --resume ${previousCliId}`
: `ccw cli -p "${buildCLIPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId}`
bash_result = Bash(
command=cli_command,
timeout=600000 // 10 minutes
timeout=timeoutByComplexity[planObject.complexity] || 3600000
)
// Execution ID is now predictable: ${fixedExecutionId}
// Can also extract from output: "ID: implement-auth-2025-12-13-P1"
const cliExecutionId = fixedExecutionId
// Update TodoWrite when execution completes
```
**Result Collection**: After completion, analyze output and collect result following `executionResult` structure
**Resume on Failure** (with fixed ID):
```javascript
// If execution failed or timed out, offer resume option
if (bash_result.status === 'failed' || bash_result.status === 'timeout') {
console.log(`
⚠️ Execution incomplete. Resume available:
Fixed ID: ${fixedExecutionId}
Lookup: ccw cli detail ${fixedExecutionId}
Resume: ccw cli -p "Continue tasks" --resume ${fixedExecutionId} --tool codex --mode write --id ${fixedExecutionId}-retry
`)
// Store for potential retry in same session
batch.resumeFromCliId = fixedExecutionId
}
```
**Result Collection**: After completion, analyze output and collect result following `executionResult` structure (include `cliExecutionId` for resume capability)
**Option C: CLI Execution (Gemini)**
When to use: `getTaskExecutor(task) === "gemini"` (分析类任务)
```bash
# 使用与 Option B 相同的 formatBatchPrompt切换 tool 和 mode
ccw cli -p "${formatBatchPrompt(batch)}" --tool gemini --mode analysis --id ${sessionId}-${batch.groupId}
```
### Step 4: Progress Tracking
@@ -456,64 +576,130 @@ Progress tracked at batch level (not individual task level). Icons: ⚡ (paralle
**Skip Condition**: Only run if `codeReviewTool ≠ "Skip"`
**Review Focus**: Verify implementation against task.json acceptance criteria
- Read task.json from session artifacts for acceptance criteria
**Review Focus**: Verify implementation against plan acceptance criteria
- Read plan.json for task acceptance criteria
- Check each acceptance criterion is fulfilled
- Validate code quality and identify issues
- Ensure alignment with planned approach
**Operations**:
- Agent Review: Current agent performs direct review (read task.json for acceptance criteria)
- Gemini Review: Execute gemini CLI with review prompt (task.json in CONTEXT)
- Custom tool: Execute specified CLI tool (qwen, codex, etc.) with task.json reference
- Agent Review: Current agent performs direct review
- Gemini Review: Execute gemini CLI with review prompt
- Custom tool: Execute specified CLI tool (qwen, codex, etc.)
**Unified Review Template** (All tools use same standard):
**Review Criteria**:
- **Acceptance Criteria**: Verify each criterion from task.json `context.acceptance`
- **Acceptance Criteria**: Verify each criterion from plan.tasks[].acceptance
- **Code Quality**: Analyze quality, identify issues, suggest improvements
- **Plan Alignment**: Validate implementation matches planned approach
**Shared Prompt Template** (used by all CLI tools):
```
PURPOSE: Code review for implemented changes against task.json acceptance criteria
TASK: • Verify task.json acceptance criteria fulfillment • Analyze code quality • Identify issues • Suggest improvements • Validate plan adherence
PURPOSE: Code review for implemented changes against plan acceptance criteria
TASK: • Verify plan acceptance criteria fulfillment • Analyze code quality • Identify issues • Suggest improvements • Validate plan adherence
MODE: analysis
CONTEXT: @**/* @{task.json} @{plan.json} [@{exploration.json}] | Memory: Review lite-execute changes against task.json requirements
EXPECTED: Quality assessment with acceptance criteria verification, issue identification, and recommendations. Explicitly check each acceptance criterion from task.json.
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-review-code-quality.txt) | Focus on task.json acceptance criteria and plan adherence | analysis=READ-ONLY
CONTEXT: @**/* @{plan.json} [@{exploration.json}] | Memory: Review lite-execute changes against plan requirements
EXPECTED: Quality assessment with acceptance criteria verification, issue identification, and recommendations. Explicitly check each acceptance criterion from plan.json tasks.
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-review-code-quality.txt) | Focus on plan acceptance criteria and plan adherence | analysis=READ-ONLY
```
**Tool-Specific Execution** (Apply shared prompt template above):
```bash
# Method 1: Agent Review (current agent)
# - Read task.json: ${executionContext.session.artifacts.task}
# - Read plan.json: ${executionContext.session.artifacts.plan}
# - Apply unified review criteria (see Shared Prompt Template)
# - Report findings directly
# Method 2: Gemini Review (recommended)
gemini -p "[Shared Prompt Template with artifacts]"
# CONTEXT includes: @**/* @${task.json} @${plan.json} [@${exploration.json}]
ccw cli -p "[Shared Prompt Template with artifacts]" --tool gemini --mode analysis
# CONTEXT includes: @**/* @${plan.json} [@${exploration.json}]
# Method 3: Qwen Review (alternative)
qwen -p "[Shared Prompt Template with artifacts]"
ccw cli -p "[Shared Prompt Template with artifacts]" --tool qwen --mode analysis
# Same prompt as Gemini, different execution engine
# Method 4: Codex Review (autonomous)
codex --full-auto exec "[Verify task.json acceptance criteria at ${task.json}]" --skip-git-repo-check -s danger-full-access
ccw cli -p "[Verify plan acceptance criteria at ${plan.json}]" --tool codex --mode write
```
**Multi-Round Review with Fixed IDs**:
```javascript
// Generate fixed review ID
const reviewId = `${sessionId}-review`
// First review pass with fixed ID
const reviewResult = Bash(`ccw cli -p "[Review prompt]" --tool gemini --mode analysis --id ${reviewId}`)
// If issues found, continue review dialog with fixed ID chain
if (hasUnresolvedIssues(reviewResult)) {
// Resume with follow-up questions
Bash(`ccw cli -p "Clarify the security concerns you mentioned" --resume ${reviewId} --tool gemini --mode analysis --id ${reviewId}-followup`)
}
```
**Implementation Note**: Replace `[Shared Prompt Template with artifacts]` placeholder with actual template content, substituting:
- `@{task.json}``@${executionContext.session.artifacts.task}`
- `@{plan.json}``@${executionContext.session.artifacts.plan}`
- `[@{exploration.json}]``@${executionContext.session.artifacts.exploration}` (if exists)
- `[@{exploration.json}]`exploration files from artifacts (if exists)
### Step 6: Update Development Index
**Trigger**: After all executions complete (regardless of code review)
**Skip Condition**: Skip if `.workflow/project.json` does not exist
**Operations**:
```javascript
const projectJsonPath = '.workflow/project.json'
if (!fileExists(projectJsonPath)) return // Silent skip
const projectJson = JSON.parse(Read(projectJsonPath))
// Initialize if needed
if (!projectJson.development_index) {
projectJson.development_index = { feature: [], enhancement: [], bugfix: [], refactor: [], docs: [] }
}
// Detect category from keywords
function detectCategory(text) {
text = text.toLowerCase()
if (/\b(fix|bug|error|issue|crash)\b/.test(text)) return 'bugfix'
if (/\b(refactor|cleanup|reorganize)\b/.test(text)) return 'refactor'
if (/\b(doc|readme|comment)\b/.test(text)) return 'docs'
if (/\b(add|new|create|implement)\b/.test(text)) return 'feature'
return 'enhancement'
}
// Detect sub_feature from task file paths
function detectSubFeature(tasks) {
const dirs = tasks.map(t => t.file?.split('/').slice(-2, -1)[0]).filter(Boolean)
const counts = dirs.reduce((a, d) => { a[d] = (a[d] || 0) + 1; return a }, {})
return Object.entries(counts).sort((a, b) => b[1] - a[1])[0]?.[0] || 'general'
}
const category = detectCategory(`${planObject.summary} ${planObject.approach}`)
const entry = {
title: planObject.summary.slice(0, 60),
sub_feature: detectSubFeature(planObject.tasks),
date: new Date().toISOString().split('T')[0],
description: planObject.approach.slice(0, 100),
status: previousExecutionResults.every(r => r.status === 'completed') ? 'completed' : 'partial',
session_id: executionContext?.session?.id || null
}
projectJson.development_index[category].push(entry)
projectJson.statistics.last_updated = new Date().toISOString()
Write(projectJsonPath, JSON.stringify(projectJson, null, 2))
console.log(`✓ Development index: [${category}] ${entry.title}`)
```
## Best Practices
**Input Modes**: In-memory (lite-plan), prompt (standalone), file (JSON/text)
**Batch Limits**: Agent 7 tasks, CLI 4 tasks
**Execution**: Parallel batches use single Claude message with multiple tool calls (no concurrency limit)
**Task Grouping**: Based on explicit depends_on only; independent tasks run in single parallel batch
**Execution**: All independent tasks launch concurrently via single Claude message with multiple tool calls
## Error Handling
@@ -524,8 +710,10 @@ codex --full-auto exec "[Verify task.json acceptance criteria at ${task.json}]"
| Empty file | File exists but no content | Error: "File is empty: {path}. Provide task description." |
| Invalid Enhanced Task JSON | JSON missing required fields | Warning: "Missing required fields. Treating as plain text." |
| Malformed JSON | JSON parsing fails | Treat as plain text (expected for non-JSON files) |
| Execution failure | Agent/Codex crashes | Display error, save partial progress, suggest retry |
| Execution failure | Agent/Codex crashes | Display error, use fixed ID `${sessionId}-${groupId}` for resume: `ccw cli -p "Continue" --resume <fixed-id> --id <fixed-id>-retry` |
| Execution timeout | CLI exceeded timeout | Use fixed ID for resume with extended timeout |
| Codex unavailable | Codex not installed | Show installation instructions, offer Agent execution |
| Fixed ID not found | Custom ID lookup failed | Check `ccw cli history`, verify date directories |
## Data Structures
@@ -543,20 +731,27 @@ Passed from lite-plan via global variable:
recommended_execution: string,
complexity: string
},
explorationContext: {...} | null,
explorationsContext: {...} | null, // Multi-angle explorations
explorationAngles: string[], // List of exploration angles
explorationManifest: {...} | null, // Exploration manifest
clarificationContext: {...} | null,
executionMethod: "Agent" | "Codex" | "Auto",
executionMethod: "Agent" | "Codex" | "Auto", // 全局默认
codeReviewTool: "Skip" | "Gemini Review" | "Agent Review" | string,
originalUserInput: string,
// 任务级 executor 分配(优先于 executionMethod
executorAssignments: {
[taskId]: { executor: "gemini" | "codex" | "agent", reason: string }
},
// Session artifacts location (saved by lite-plan)
session: {
id: string, // Session identifier: {taskSlug}-{shortTimestamp}
folder: string, // Session folder path: .workflow/.lite-plan/{session-id}
artifacts: {
exploration: string | null, // exploration.json path (if exploration performed)
plan: string, // plan.json path (always present)
task: string // task.json path (always exported)
explorations: [{angle, path}], // exploration-{angle}.json paths
explorations_manifest: string, // explorations-manifest.json path
plan: string // plan.json path (always present)
}
}
}
@@ -578,8 +773,20 @@ Collected after each execution call completes:
tasksSummary: string, // Brief description of tasks handled
completionSummary: string, // What was completed
keyOutputs: string, // Files created/modified, key changes
notes: string // Important context for next execution
notes: string, // Important context for next execution
fixedCliId: string | null // Fixed CLI execution ID (e.g., "implement-auth-2025-12-13-P1")
}
```
Appended to `previousExecutionResults` array for context continuity in multi-execution scenarios.
**Fixed ID Pattern**: `${sessionId}-${groupId}` enables predictable lookup without auto-generated timestamps.
**Resume Usage**: If `status` is "partial" or "failed", use `fixedCliId` to resume:
```bash
# Lookup previous execution
ccw cli detail ${fixedCliId}
# Resume with new fixed ID for retry
ccw cli -p "Continue from where we left off" --resume ${fixedCliId} --tool codex --mode write --id ${fixedCliId}-retry
```

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@@ -1,7 +1,7 @@
---
name: plan
description: 5-phase planning workflow with action-planning-agent task generation, outputs IMPL_PLAN.md and task JSONs with optional CLI auto-execution
argument-hint: "[--cli-execute] \"text description\"|file.md"
description: 5-phase planning workflow with action-planning-agent task generation, outputs IMPL_PLAN.md and task JSONs
argument-hint: "\"text description\"|file.md"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
@@ -9,7 +9,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
## Coordinator Role
**This command is a pure orchestrator**: Execute 5 slash commands in sequence (including a quality gate), parse their outputs, pass context between them, and ensure complete execution through **automatic continuation**.
**This command is a pure orchestrator**: Dispatch 5 slash commands in sequence (including a quality gate), parse their outputs, pass context between them, and ensure complete execution through **automatic continuation**.
**Execution Model - Auto-Continue Workflow with Quality Gate**:
@@ -17,14 +17,14 @@ This workflow runs **fully autonomously** once triggered. Phase 3 (conflict reso
1. **User triggers**: `/workflow:plan "task"`
2. **Phase 1 executes** → Session discovery → Auto-continues
3. **Phase 2 executes** → Context gathering → Auto-continues
4. **Phase 3 executes** (optional, if conflict_risk ≥ medium) → Conflict resolution → Auto-continues
5. **Phase 4 executes** → Task generation (task-generate-agent) → Reports final summary
2. **Phase 1 dispatches** → Session discovery → Auto-continues
3. **Phase 2 dispatches** → Context gathering → Auto-continues
4. **Phase 3 dispatches** (optional, if conflict_risk ≥ medium) → Conflict resolution → Auto-continues
5. **Phase 4 dispatches** → Task generation (task-generate-agent) → Reports final summary
**Task Attachment Model**:
- SlashCommand invocation **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is invoked (e.g., `/workflow:tools:context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is dispatched (e.g., `/workflow:tools:context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- Orchestrator **executes these attached tasks** sequentially
- After completion, attached tasks are **collapsed** back to high-level phase summary
- This is **task expansion**, not external delegation
@@ -43,13 +43,48 @@ This workflow runs **fully autonomously** once triggered. Phase 3 (conflict reso
3. **Parse Every Output**: Extract required data from each command/agent output for next phase
4. **Auto-Continue via TodoList**: Check TodoList status to execute next pending phase automatically
5. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
6. **Task Attachment Model**: SlashCommand invocation **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
6. **Task Attachment Model**: SlashCommand dispatch **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
7. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and execute next phase
## Execution Process
```
Input Parsing:
└─ Convert user input to structured format (GOAL/SCOPE/CONTEXT)
Phase 1: Session Discovery
└─ /workflow:session:start --auto "structured-description"
└─ Output: sessionId (WFS-xxx)
Phase 2: Context Gathering
└─ /workflow:tools:context-gather --session sessionId "structured-description"
├─ Tasks attached: Analyze structure → Identify integration → Generate package
└─ Output: contextPath + conflict_risk
Phase 3: Conflict Resolution
└─ Decision (conflict_risk check):
├─ conflict_risk ≥ medium → Execute /workflow:tools:conflict-resolution
│ ├─ Tasks attached: Detect conflicts → Present to user → Apply strategies
│ └─ Output: Modified brainstorm artifacts
└─ conflict_risk < medium → Skip to Phase 4
Phase 4: Task Generation
└─ /workflow:tools:task-generate-agent --session sessionId
└─ Output: IMPL_PLAN.md, task JSONs, TODO_LIST.md
Return:
└─ Summary with recommended next steps
```
## 5-Phase Execution
### Phase 1: Session Discovery
**Command**: `SlashCommand(command="/workflow:session:start --auto \"[structured-task-description]\"")`
**Step 1.1: Dispatch** - Create or discover workflow session
```javascript
SlashCommand(command="/workflow:session:start --auto \"[structured-task-description]\"")
```
**Task Description Structure**:
```
@@ -72,6 +107,8 @@ CONTEXT: Existing user database schema, REST API endpoints
- Session ID successfully extracted
- Session directory `.workflow/active/[sessionId]/` exists
**Note**: Session directory contains `workflow-session.json` (metadata). Do NOT look for `manifest.json` here - it only exists in `.workflow/archives/` for archived sessions.
**TodoWrite**: Mark phase 1 completed, phase 2 in_progress
**After Phase 1**: Return to user showing Phase 1 results, then auto-continue to Phase 2
@@ -79,7 +116,12 @@ CONTEXT: Existing user database schema, REST API endpoints
---
### Phase 2: Context Gathering
**Command**: `SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[structured-task-description]\"")`
**Step 2.1: Dispatch** - Gather project context and analyze codebase
```javascript
SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[structured-task-description]\"")
```
**Use Same Structured Description**: Pass the same structured format from Phase 1
@@ -93,29 +135,30 @@ CONTEXT: Existing user database schema, REST API endpoints
- Context package path extracted
- File exists and is valid JSON
<!-- TodoWrite: When context-gather invoked, INSERT 3 context-gather tasks, mark first as in_progress -->
<!-- TodoWrite: When context-gather dispatched, INSERT 3 context-gather tasks, mark first as in_progress -->
**TodoWrite Update (Phase 2 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 2 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2.1: Analyze codebase structure (context-gather)", "status": "in_progress", "activeForm": "Analyzing codebase structure"},
{"content": "Phase 2.2: Identify integration points (context-gather)", "status": "pending", "activeForm": "Identifying integration points"},
{"content": "Phase 2.3: Generate context package (context-gather)", "status": "pending", "activeForm": "Generating context package"},
{"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "in_progress", "activeForm": "Executing context gathering"},
{"content": " → Analyze codebase structure", "status": "in_progress", "activeForm": "Analyzing codebase structure"},
{"content": " → Identify integration points", "status": "pending", "activeForm": "Identifying integration points"},
{"content": " → Generate context package", "status": "pending", "activeForm": "Generating context package"},
{"content": "Phase 4: Task Generation", "status": "pending", "activeForm": "Executing task generation"}
]
```
**Note**: SlashCommand invocation **attaches** context-gather's 3 tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand dispatch **attaches** context-gather's 3 tasks. Orchestrator **executes** these tasks sequentially.
<!-- TodoWrite: After Phase 2 tasks complete, REMOVE Phase 2.1-2.3, restore to orchestrator view -->
**TodoWrite Update (Phase 2 completed - tasks collapsed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 4: Task Generation", "status": "pending", "activeForm": "Executing task generation"}
]
```
@@ -125,11 +168,15 @@ CONTEXT: Existing user database schema, REST API endpoints
---
### Phase 3: Conflict Resolution (Optional - auto-triggered by conflict risk)
### Phase 3: Conflict Resolution
**Trigger**: Only execute when context-package.json indicates conflict_risk is "medium" or "high"
**Command**: `SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")`
**Step 3.1: Dispatch** - Detect and resolve conflicts with CLI analysis
```javascript
SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")
```
**Input**:
- sessionId from Phase 1
@@ -138,10 +185,10 @@ CONTEXT: Existing user database schema, REST API endpoints
**Parse Output**:
- Extract: Execution status (success/skipped/failed)
- Verify: CONFLICT_RESOLUTION.md file path (if executed)
- Verify: conflict-resolution.json file path (if executed)
**Validation**:
- File `.workflow/active/[sessionId]/.process/CONFLICT_RESOLUTION.md` exists (if executed)
- File `.workflow/active/[sessionId]/.process/conflict-resolution.json` exists (if executed)
**Skip Behavior**:
- If conflict_risk is "none" or "low", skip directly to Phase 3.5
@@ -149,29 +196,30 @@ CONTEXT: Existing user database schema, REST API endpoints
<!-- TodoWrite: If conflict_risk ≥ medium, INSERT 3 conflict-resolution tasks -->
**TodoWrite Update (Phase 3 SlashCommand invoked - tasks attached, if conflict_risk ≥ medium)**:
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached, if conflict_risk ≥ medium)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3.1: Detect conflicts with CLI analysis (conflict-resolution)", "status": "in_progress", "activeForm": "Detecting conflicts"},
{"content": "Phase 3.2: Present conflicts to user (conflict-resolution)", "status": "pending", "activeForm": "Presenting conflicts"},
{"content": "Phase 3.3: Apply resolution strategies (conflict-resolution)", "status": "pending", "activeForm": "Applying resolution strategies"},
{"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Conflict Resolution", "status": "in_progress", "activeForm": "Resolving conflicts"},
{"content": " → Detect conflicts with CLI analysis", "status": "in_progress", "activeForm": "Detecting conflicts"},
{"content": " → Present conflicts to user", "status": "pending", "activeForm": "Presenting conflicts"},
{"content": " → Apply resolution strategies", "status": "pending", "activeForm": "Applying resolution strategies"},
{"content": "Phase 4: Task Generation", "status": "pending", "activeForm": "Executing task generation"}
]
```
**Note**: SlashCommand invocation **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand dispatch **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks sequentially.
<!-- TodoWrite: After Phase 3 tasks complete, REMOVE Phase 3.1-3.3, restore to orchestrator view -->
**TodoWrite Update (Phase 3 completed - tasks collapsed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Resolve conflicts and apply fixes", "status": "completed", "activeForm": "Resolving conflicts"},
{"content": "Execute task generation", "status": "pending", "activeForm": "Executing task generation"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Conflict Resolution", "status": "completed", "activeForm": "Resolving conflicts"},
{"content": "Phase 4: Task Generation", "status": "pending", "activeForm": "Executing task generation"}
]
```
@@ -181,9 +229,14 @@ CONTEXT: Existing user database schema, REST API endpoints
**Memory State Check**:
- Evaluate current context window usage and memory state
- If memory usage is high (>110K tokens or approaching context limits):
- **Command**: `SlashCommand(command="/compact")`
- This optimizes memory before proceeding to Phase 3.5
- If memory usage is high (>120K tokens or approaching context limits):
**Step 3.2: Dispatch** - Optimize memory before proceeding
```javascript
SlashCommand(command="/compact")
```
- Memory compaction is particularly important after analysis phase which may generate extensive documentation
- Ensures optimal performance and prevents context overflow
@@ -217,17 +270,13 @@ CONTEXT: Existing user database schema, REST API endpoints
- Task generation translates high-level role analyses into concrete, actionable work items
- **Intent priority**: Current user prompt > role analysis.md files > guidance-specification.md
**Command**:
```bash
# Default (agent mode)
SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]")
**Step 4.1: Dispatch** - Generate implementation plan and task JSONs
# With CLI execution
SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId] --cli-execute")
```javascript
SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]")
```
**Flag**:
- `--cli-execute`: Generate tasks with Codex execution commands
**CLI Execution Note**: CLI tool usage is now determined semantically by action-planning-agent based on user's task description. If user specifies "use Codex/Gemini/Qwen for X", the agent embeds `command` fields in relevant `implementation_approach` steps.
**Input**: `sessionId` from Phase 1
@@ -236,14 +285,14 @@ SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]
- `.workflow/active/[sessionId]/.task/IMPL-*.json` exists (at least one)
- `.workflow/active/[sessionId]/TODO_LIST.md` exists
<!-- TodoWrite: When task-generate-agent invoked, ATTACH 1 agent task -->
<!-- TodoWrite: When task-generate-agent dispatched, ATTACH 1 agent task -->
**TodoWrite Update (Phase 4 SlashCommand invoked - agent task attached)**:
**TodoWrite Update (Phase 4 SlashCommand dispatched - agent task attached)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute task-generate-agent", "status": "in_progress", "activeForm": "Executing task-generate-agent"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 4: Task Generation", "status": "in_progress", "activeForm": "Executing task generation"}
]
```
@@ -254,9 +303,9 @@ SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]
**TodoWrite Update (Phase 4 completed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute task-generate-agent", "status": "completed", "activeForm": "Executing task-generate-agent"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 4: Task Generation", "status": "completed", "activeForm": "Executing task generation"}
]
```
@@ -282,7 +331,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to catch issues earl
### Key Principles
1. **Task Attachment** (when SlashCommand invoked):
1. **Task Attachment** (when SlashCommand dispatched):
- Sub-command's internal tasks are **attached** to orchestrator's TodoWrite
- **Phase 2, 3**: Multiple sub-tasks attached (e.g., Phase 2.1, 2.2, 2.3)
- **Phase 4**: Single agent task attached (e.g., "Execute task-generate-agent")
@@ -301,14 +350,9 @@ Quality Gate: Consider running /workflow:action-plan-verify to catch issues earl
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**Lifecycle Summary**: Initial pending tasks → Phase invoked (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary for Phase 2/3, or marked completed for Phase 4) → Next phase begins → Repeat until all phases complete.
**Lifecycle Summary**: Initial pending tasks → Phase dispatched (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary for Phase 2/3, or marked completed for Phase 4) → Next phase begins → Repeat until all phases complete.
### Benefits
- ✓ Real-time visibility into sub-task execution
- ✓ Clear mental model: SlashCommand = attach → execute → collapse (Phase 2/3) or complete (Phase 4)
- ✓ Clean summary after completion
- ✓ Easy to track workflow progress
**Note**: See individual Phase descriptions for detailed TodoWrite Update examples:
- **Phase 2, 3**: Multiple sub-tasks with attach/collapse pattern
@@ -374,7 +418,7 @@ Phase 3: conflict-resolution [AUTO-TRIGGERED if conflict_risk ≥ medium]
↓ Output: Modified brainstorm artifacts (NO report file)
↓ Skip if conflict_risk is none/low → proceed directly to Phase 4
Phase 4: task-generate-agent --session sessionId [--cli-execute]
Phase 4: task-generate-agent --session sessionId
↓ Input: sessionId + resolved brainstorm artifacts + session memory
↓ Output: IMPL_PLAN.md, task JSONs, TODO_LIST.md
@@ -387,11 +431,6 @@ Return summary to user
- Brainstorming artifacts (potentially modified by Phase 3)
- Session-specific configuration
**Structured Description Benefits**:
- **Clarity**: Clear separation of goal, scope, and context
- **Consistency**: Same format across all phases
- **Traceability**: Easy to track what was requested
- **Precision**: Better context gathering and analysis
## Execution Flow Diagram
@@ -403,30 +442,29 @@ User triggers: /workflow:plan "Build authentication system"
Phase 1: Session Discovery
→ sessionId extracted
Phase 2: Context Gathering (SlashCommand invoked)
→ ATTACH 3 tasks: ← ATTACHED
- Phase 2.1: Analyze codebase structure
- Phase 2.2: Identify integration points
- Phase 2.3: Generate context package
→ Execute Phase 2.1-2.3
Phase 2: Context Gathering (SlashCommand dispatched)
→ ATTACH 3 sub-tasks: ← ATTACHED
- Analyze codebase structure
- Identify integration points
- Generate context package
→ Execute sub-tasks sequentially
→ COLLAPSE tasks ← COLLAPSED
→ contextPath + conflict_risk extracted
Conditional Branch: Check conflict_risk
├─ IF conflict_risk ≥ medium:
│ Phase 3: Conflict Resolution (SlashCommand invoked)
│ → ATTACH 3 tasks: ← ATTACHED
│ - Phase 3.1: Detect conflicts with CLI analysis
│ - Phase 3.2: Present conflicts to user
│ - Phase 3.3: Apply resolution strategies
│ → Execute Phase 3.1-3.3
│ Phase 3: Conflict Resolution (SlashCommand dispatched)
│ → ATTACH 3 sub-tasks: ← ATTACHED
│ - Detect conflicts with CLI analysis
│ - Present conflicts to user
│ - Apply resolution strategies
│ → Execute sub-tasks sequentially
│ → COLLAPSE tasks ← COLLAPSED
└─ ELSE: Skip Phase 3, proceed to Phase 4
Phase 4: Task Generation (SlashCommand invoked)
ATTACH 1 agent task: ← ATTACHED
- Execute task-generate-agent
Phase 4: Task Generation (SlashCommand dispatched)
Single agent task (no sub-tasks)
→ Agent autonomously completes internally:
(discovery → planning → output)
→ Outputs: IMPL_PLAN.md, IMPL-*.json, TODO_LIST.md
@@ -435,12 +473,12 @@ Return summary to user
```
**Key Points**:
- **← ATTACHED**: Tasks attached to TodoWrite when SlashCommand invoked
- **← ATTACHED**: Tasks attached to TodoWrite when SlashCommand dispatched
- Phase 2, 3: Multiple sub-tasks
- Phase 4: Single agent task
- **← COLLAPSED**: Sub-tasks collapsed to summary after completion (Phase 2, 3 only)
- **Phase 4**: Single agent task, no collapse (just mark completed)
- **Conditional Branch**: Phase 3 only executes if conflict_risk ≥ medium
- **Conditional Branch**: Phase 3 only dispatches if conflict_risk ≥ medium
- **Continuous Flow**: No user intervention between phases
## Error Handling
@@ -459,11 +497,9 @@ Return summary to user
- Parse context path from Phase 2 output, store in memory
- **Extract conflict_risk from context-package.json**: Determine Phase 3 execution
- **If conflict_risk ≥ medium**: Launch Phase 3 conflict-resolution with sessionId and contextPath
- Wait for Phase 3 to finish executing (if executed), verify CONFLICT_RESOLUTION.md created
- Wait for Phase 3 to finish executing (if executed), verify conflict-resolution.json created
- **If conflict_risk is none/low**: Skip Phase 3, proceed directly to Phase 4
- **Build Phase 4 command**:
- Base command: `/workflow:tools:task-generate-agent --session [sessionId]`
- Add `--cli-execute` if flag present
- **Build Phase 4 command**: `/workflow:tools:task-generate-agent --session [sessionId]`
- Pass session ID to Phase 4 command
- Verify all Phase 4 outputs
- Update TodoWrite after each phase (dynamically adjust for Phase 3 presence)

View File

@@ -48,8 +48,54 @@ Intelligently replans workflow sessions or individual tasks with interactive bou
/workflow:replan IMPL-1 --interactive
```
## Execution Process
```
Input Parsing:
├─ Parse flags: --session, --interactive
└─ Detect mode: task-id present → Task mode | Otherwise → Session mode
Phase 1: Mode Detection & Session Discovery
├─ Detect operation mode (Task vs Session)
├─ Discover/validate session (--session flag or auto-detect)
└─ Load session context (workflow-session.json, IMPL_PLAN.md, TODO_LIST.md)
Phase 2: Interactive Requirement Clarification
└─ Decision (by mode):
├─ Session mode → 3-4 questions (scope, modules, changes, dependencies)
└─ Task mode → 2 questions (update type, ripple effect)
Phase 3: Impact Analysis & Planning
├─ Analyze required changes
├─ Generate modification plan
└─ User confirmation (Execute / Adjust / Cancel)
Phase 4: Backup Creation
└─ Backup all affected files with manifest
Phase 5: Apply Modifications
├─ Update IMPL_PLAN.md (if needed)
├─ Update TODO_LIST.md (if needed)
├─ Update/Create/Delete task JSONs
└─ Update session metadata
Phase 6: Verification & Summary
├─ Validate consistency (JSON validity, task limits, acyclic dependencies)
└─ Generate change summary
```
## Execution Lifecycle
### Input Parsing
**Parse flags**:
```javascript
const sessionFlag = $ARGUMENTS.match(/--session\s+(\S+)/)?.[1]
const interactive = $ARGUMENTS.includes('--interactive')
const taskIdMatch = $ARGUMENTS.match(/\b(IMPL-\d+(?:\.\d+)?)\b/)
const taskId = taskIdMatch?.[1]
```
### Phase 1: Mode Detection & Session Discovery
**Process**:
@@ -97,11 +143,10 @@ Options: Dynamically generated from existing tasks' focus_paths
**Q3: Task Changes** (if scope >= task_restructure)
```javascript
Options:
- 添加新任务
- 删除现有任务
- 合并任务
- 拆分任务
- 仅更新内容
- 添加/删除任务 (add_remove)
- 合并/拆分任务 (merge_split)
- 仅更新内容 (update_only)
// Note: Max 4 options for AskUserQuestion
```
**Q4: Dependency Changes**

View File

@@ -0,0 +1,606 @@
---
name: review-fix
description: Automated fixing of code review findings with AI-powered planning and coordinated execution. Uses intelligent grouping, multi-stage timeline coordination, and test-driven verification.
argument-hint: "<export-file|review-dir> [--resume] [--max-iterations=N]"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Task(*), Edit(*), Write(*)
---
# Workflow Review-Fix Command
## Quick Start
```bash
# Fix from exported findings file (session-based path)
/workflow:review-fix .workflow/active/WFS-123/.review/fix-export-1706184622000.json
# Fix from review directory (auto-discovers latest export)
/workflow:review-fix .workflow/active/WFS-123/.review/
# Resume interrupted fix session
/workflow:review-fix --resume
# Custom max retry attempts per finding
/workflow:review-fix .workflow/active/WFS-123/.review/ --max-iterations=5
```
**Fix Source**: Exported findings from review cycle dashboard
**Output Directory**: `{review-dir}/fixes/{fix-session-id}/` (within session .review/)
**Default Max Iterations**: 3 (per finding, adjustable)
**CLI Tools**: @cli-planning-agent (planning), @cli-execute-agent (fixing)
## What & Why
### Core Concept
Automated fix orchestrator with **two-phase architecture**: AI-powered planning followed by coordinated parallel/serial execution. Generates fix timeline with intelligent grouping and dependency analysis, then executes fixes with conservative test verification.
**Fix Process**:
- **Planning Phase**: AI analyzes findings, generates fix plan with grouping and execution strategy
- **Execution Phase**: Main orchestrator coordinates agents per timeline stages
- **No rigid structure**: Adapts to task requirements, not bound to fixed JSON format
**vs Manual Fixing**:
- **Manual**: Developer reviews findings one-by-one, fixes sequentially
- **Automated**: AI groups related issues, executes in optimal parallel/serial order with automatic test verification
### Value Proposition
1. **Intelligent Planning**: AI-powered analysis identifies optimal grouping and execution strategy
2. **Multi-stage Coordination**: Supports complex parallel + serial execution with dependency management
3. **Conservative Safety**: Mandatory test verification with automatic rollback on failure
4. **Resume Support**: Checkpoint-based recovery for interrupted sessions
### Orchestrator Boundary (CRITICAL)
- **ONLY command** for automated review finding fixes
- Manages: Planning phase coordination, stage-based execution, agent scheduling, progress tracking
- Delegates: Fix planning to @cli-planning-agent, fix execution to @cli-execute-agent
### Execution Flow
```
Phase 1: Discovery & Initialization
└─ Validate export file, create fix session structure, initialize state files
Phase 2: Planning Coordination (@cli-planning-agent)
├─ Analyze findings for patterns and dependencies
├─ Group by file + dimension + root cause similarity
├─ Determine execution strategy (parallel/serial/hybrid)
├─ Generate fix timeline with stages
└─ Output: fix-plan.json
Phase 3: Execution Orchestration (Stage-based)
For each timeline stage:
├─ Load groups for this stage
├─ If parallel: Launch all group agents simultaneously
├─ If serial: Execute groups sequentially
├─ Each agent:
│ ├─ Analyze code context
│ ├─ Apply fix per strategy
│ ├─ Run affected tests
│ ├─ On test failure: Rollback, retry up to max_iterations
│ └─ On success: Commit, update fix-progress-{N}.json
└─ Advance to next stage
Phase 4: Completion & Aggregation
└─ Aggregate results → Generate fix-summary.md → Update history → Output summary
Phase 5: Session Completion (Optional)
└─ If all fixes successful → Prompt to complete workflow session
```
### Agent Roles
| Agent | Responsibility |
|-------|---------------|
| **Orchestrator** | Input validation, session management, planning coordination, stage-based execution scheduling, progress tracking, aggregation |
| **@cli-planning-agent** | Findings analysis, intelligent grouping (file+dimension+root cause), execution strategy determination (parallel/serial/hybrid), timeline generation with dependency mapping |
| **@cli-execute-agent** | Fix execution per group, code context analysis, Edit tool operations, test verification, git rollback on failure, completion JSON generation |
## Enhanced Features
### 1. Two-Phase Architecture
**Phase Separation**:
| Phase | Agent | Output | Purpose |
|-------|-------|--------|---------|
| **Planning** | @cli-planning-agent | fix-plan.json | Analyze findings, group intelligently, determine optimal execution strategy |
| **Execution** | @cli-execute-agent | completions/*.json | Execute fixes per plan with test verification and rollback |
**Benefits**:
- Clear separation of concerns (analysis vs execution)
- Reusable plans (can re-execute without re-planning)
- Better error isolation (planning failures vs execution failures)
### 2. Intelligent Grouping Strategy
**Three-Level Grouping**:
```javascript
// Level 1: Primary grouping by file + dimension
{file: "auth.ts", dimension: "security"} Group A
{file: "auth.ts", dimension: "quality"} Group B
{file: "query-builder.ts", dimension: "security"} Group C
// Level 2: Secondary grouping by root cause similarity
Group A findings Semantic similarity analysis (threshold 0.7)
Sub-group A1: "missing-input-validation" (findings 1, 2)
Sub-group A2: "insecure-crypto" (finding 3)
// Level 3: Dependency analysis
Sub-group A1 creates validation utilities
Sub-group C4 depends on those utilities
A1 must execute before C4 (serial stage dependency)
```
**Similarity Computation**:
- Combine: `description + recommendation + category`
- Vectorize: TF-IDF or LLM embedding
- Cluster: Greedy algorithm with cosine similarity > 0.7
### 3. Execution Strategy Determination
**Strategy Types**:
| Strategy | When to Use | Stage Structure |
|----------|-------------|-----------------|
| **Parallel** | All groups independent, different files | Single stage, all groups in parallel |
| **Serial** | Strong dependencies, shared resources | Multiple stages, one group per stage |
| **Hybrid** | Mixed dependencies | Multiple stages, parallel within stages |
**Dependency Detection**:
- Shared file modifications
- Utility creation + usage patterns
- Test dependency chains
- Risk level clustering (high-risk groups isolated)
### 4. Conservative Test Verification
**Test Strategy** (per fix):
```javascript
// 1. Identify affected tests
const testPattern = identifyTestPattern(finding.file);
// e.g., "tests/auth/**/*.test.*" for src/auth/service.ts
// 2. Run tests
const result = await runTests(testPattern);
// 3. Evaluate
if (result.passRate < 100%) {
// Rollback
await gitCheckout(finding.file);
// Retry with failure context
if (attempts < maxIterations) {
const fixContext = analyzeFailure(result.stderr);
regenerateFix(finding, fixContext);
retry();
} else {
markFailed(finding.id);
}
} else {
// Commit
await gitCommit(`Fix: ${finding.title} [${finding.id}]`);
markFixed(finding.id);
}
```
**Pass Criteria**: 100% test pass rate (no partial fixes)
## Core Responsibilities
### Orchestrator
**Phase 1: Discovery & Initialization**
- Input validation: Check export file exists and is valid JSON
- Auto-discovery: If review-dir provided, find latest `*-fix-export.json`
- Session creation: Generate fix-session-id (`fix-{timestamp}`)
- Directory structure: Create `{review-dir}/fixes/{fix-session-id}/` with subdirectories
- State files: Initialize active-fix-session.json (session marker)
- TodoWrite initialization: Set up 4-phase tracking
**Phase 2: Planning Coordination**
- Launch @cli-planning-agent with findings data and project context
- Validate fix-plan.json output (schema conformance, includes metadata with session status)
- Load plan into memory for execution phase
- TodoWrite update: Mark planning complete, start execution
**Phase 3: Execution Orchestration**
- Load fix-plan.json timeline stages
- For each stage:
- If parallel mode: Launch all group agents via `Promise.all()`
- If serial mode: Execute groups sequentially with `await`
- Assign agent IDs (agents update their fix-progress-{N}.json)
- Handle agent failures gracefully (mark group as failed, continue)
- Advance to next stage only when current stage complete
**Phase 4: Completion & Aggregation**
- Collect final status from all fix-progress-{N}.json files
- Generate fix-summary.md with timeline and results
- Update fix-history.json with new session entry
- Remove active-fix-session.json
- TodoWrite completion: Mark all phases done
- Output summary to user
**Phase 5: Session Completion (Optional)**
- If all findings fixed successfully (no failures):
- Prompt user: "All fixes complete. Complete workflow session? [Y/n]"
- If confirmed: Execute `/workflow:session:complete` to archive session with lessons learned
- If partial success (some failures):
- Output: "Some findings failed. Review fix-summary.md before completing session."
- Do NOT auto-complete session
### Output File Structure
```
.workflow/active/WFS-{session-id}/.review/
├── fix-export-{timestamp}.json # Exported findings (input)
└── fixes/{fix-session-id}/
├── fix-plan.json # Planning agent output (execution plan with metadata)
├── fix-progress-1.json # Group 1 progress (planning agent init → agent updates)
├── fix-progress-2.json # Group 2 progress (planning agent init → agent updates)
├── fix-progress-3.json # Group 3 progress (planning agent init → agent updates)
├── fix-summary.md # Final report (orchestrator generates)
├── active-fix-session.json # Active session marker
└── fix-history.json # All sessions history
```
**File Producers**:
- **Planning Agent**: `fix-plan.json` (with metadata), all `fix-progress-*.json` (initial state)
- **Execution Agents**: Update assigned `fix-progress-{N}.json` in real-time
### Agent Invocation Template
**Planning Agent**:
```javascript
Task({
subagent_type: "cli-planning-agent",
description: `Generate fix plan and initialize progress files for ${findings.length} findings`,
prompt: `
## Task Objective
Analyze ${findings.length} code review findings and generate execution plan with intelligent grouping and timeline coordination.
## Input Data
Review Session: ${reviewId}
Fix Session ID: ${fixSessionId}
Total Findings: ${findings.length}
Findings:
${JSON.stringify(findings, null, 2)}
Project Context:
- Structure: ${projectStructure}
- Test Framework: ${testFramework}
- Git Status: ${gitStatus}
## Output Requirements
### 1. fix-plan.json
Execute: cat ~/.claude/workflows/cli-templates/fix-plan-template.json
Generate execution plan following template structure:
**Key Generation Rules**:
- **Metadata**: Populate fix_session_id, review_session_id, status ("planning"), created_at, started_at timestamps
- **Execution Strategy**: Choose approach (parallel/serial/hybrid) based on dependency analysis, set parallel_limit and stages count
- **Groups**: Create groups (G1, G2, ...) with intelligent grouping (see Analysis Requirements below), assign progress files (fix-progress-1.json, ...), populate fix_strategy with approach/complexity/test_pattern, assess risks, identify dependencies
- **Timeline**: Define stages respecting dependencies, set execution_mode per stage, map groups to stages, calculate critical path
### 2. fix-progress-{N}.json (one per group)
Execute: cat ~/.claude/workflows/cli-templates/fix-progress-template.json
For each group (G1, G2, G3, ...), generate fix-progress-{N}.json following template structure:
**Initial State Requirements**:
- Status: "pending", phase: "waiting"
- Timestamps: Set last_update to now, others null
- Findings: Populate from review findings with status "pending", all operation fields null
- Summary: Initialize all counters to zero
- Flow control: Empty implementation_approach array
- Errors: Empty array
**CRITICAL**: Ensure complete template structure - all fields must be present.
## Analysis Requirements
### Intelligent Grouping Strategy
Group findings using these criteria (in priority order):
1. **File Proximity**: Findings in same file or related files
2. **Dimension Affinity**: Same dimension (security, performance, etc.)
3. **Root Cause Similarity**: Similar underlying issues
4. **Fix Approach Commonality**: Can be fixed with similar approach
**Grouping Guidelines**:
- Optimal group size: 2-5 findings per group
- Avoid cross-cutting concerns in same group
- Consider test isolation (different test suites → different groups)
- Balance workload across groups for parallel execution
### Execution Strategy Determination
**Parallel Mode**: Use when groups are independent, no shared files
**Serial Mode**: Use when groups have dependencies or shared resources
**Hybrid Mode**: Use for mixed dependency graphs (recommended for most cases)
**Dependency Analysis**:
- Identify shared files between groups
- Detect test dependency chains
- Evaluate risk of concurrent modifications
### Risk Assessment
For each group, evaluate:
- **Complexity**: Based on code structure, file size, existing tests
- **Impact Scope**: Number of files affected, API surface changes
- **Rollback Feasibility**: Ease of reverting changes if tests fail
### Test Strategy
For each group, determine:
- **Test Pattern**: Glob pattern matching affected tests
- **Pass Criteria**: All tests must pass (100% pass rate)
- **Test Command**: Infer from project (package.json, pytest.ini, etc.)
## Output Files
Write to ${sessionDir}:
- ./fix-plan.json
- ./fix-progress-1.json
- ./fix-progress-2.json
- ./fix-progress-{N}.json (as many as groups created)
## Quality Checklist
Before finalizing outputs:
- ✅ All findings assigned to exactly one group
- ✅ Group dependencies correctly identified
- ✅ Timeline stages respect dependencies
- ✅ All progress files have complete initial structure
- ✅ Test patterns are valid and specific
- ✅ Risk assessments are realistic
- ✅ Estimated times are reasonable
`
})
```
**Execution Agent** (per group):
```javascript
Task({
subagent_type: "cli-execute-agent",
description: `Fix ${group.findings.length} issues: ${group.group_name}`,
prompt: `
## Task Objective
Execute fixes for code review findings in group ${group.group_id}. Update progress file in real-time with flow control tracking.
## Assignment
- Group ID: ${group.group_id}
- Group Name: ${group.group_name}
- Progress File: ${sessionDir}/${group.progress_file}
- Findings Count: ${group.findings.length}
- Max Iterations: ${maxIterations} (per finding)
## Fix Strategy
${JSON.stringify(group.fix_strategy, null, 2)}
## Risk Assessment
${JSON.stringify(group.risk_assessment, null, 2)}
## Execution Flow
### Initialization (Before Starting)
1. Read ${group.progress_file} to load initial state
2. Update progress file:
- assigned_agent: "${agentId}"
- status: "in-progress"
- started_at: Current ISO 8601 timestamp
- last_update: Current ISO 8601 timestamp
3. Write updated state back to ${group.progress_file}
### Main Execution Loop
For EACH finding in ${group.progress_file}.findings:
#### Step 1: Analyze Context
**Before Step**:
- Update finding: status→"in-progress", started_at→now()
- Update current_finding: Populate with finding details, status→"analyzing", action→"Reading file and understanding code structure"
- Update phase→"analyzing"
- Update flow_control: Add "analyze_context" step to implementation_approach (status→"in-progress"), set current_step→"analyze_context"
- Update last_update→now(), write to ${group.progress_file}
**Action**:
- Read file: finding.file
- Understand code structure around line: finding.line
- Analyze surrounding context (imports, dependencies, related functions)
- Review recommendations: finding.recommendations
**After Step**:
- Update flow_control: Mark "analyze_context" step as "completed" with completed_at→now()
- Update last_update→now(), write to ${group.progress_file}
#### Step 2: Apply Fix
**Before Step**:
- Update current_finding: status→"fixing", action→"Applying code changes per recommendations"
- Update phase→"fixing"
- Update flow_control: Add "apply_fix" step to implementation_approach (status→"in-progress"), set current_step→"apply_fix"
- Update last_update→now(), write to ${group.progress_file}
**Action**:
- Use Edit tool to implement code changes per finding.recommendations
- Follow fix_strategy.approach
- Maintain code style and existing patterns
**After Step**:
- Update flow_control: Mark "apply_fix" step as "completed" with completed_at→now()
- Update last_update→now(), write to ${group.progress_file}
#### Step 3: Test Verification
**Before Step**:
- Update current_finding: status→"testing", action→"Running test suite to verify fix"
- Update phase→"testing"
- Update flow_control: Add "run_tests" step to implementation_approach (status→"in-progress"), set current_step→"run_tests"
- Update last_update→now(), write to ${group.progress_file}
**Action**:
- Run tests using fix_strategy.test_pattern
- Require 100% pass rate
- Capture test output
**On Test Failure**:
- Git rollback: \`git checkout -- \${finding.file}\`
- Increment finding.attempts
- Update flow_control: Mark "run_tests" step as "failed" with completed_at→now()
- Update errors: Add entry (finding_id, error_type→"test_failure", message, timestamp)
- If finding.attempts < ${maxIterations}:
- Reset flow_control: implementation_approach→[], current_step→null
- Retry from Step 1
- Else:
- Update finding: status→"completed", result→"failed", error_message→"Max iterations reached", completed_at→now()
- Update summary counts, move to next finding
**On Test Success**:
- Update flow_control: Mark "run_tests" step as "completed" with completed_at→now()
- Update last_update→now(), write to ${group.progress_file}
- Proceed to Step 4
#### Step 4: Commit Changes
**Before Step**:
- Update current_finding: status→"committing", action→"Creating git commit for successful fix"
- Update phase→"committing"
- Update flow_control: Add "commit_changes" step to implementation_approach (status→"in-progress"), set current_step→"commit_changes"
- Update last_update→now(), write to ${group.progress_file}
**Action**:
- Git commit: \`git commit -m "fix(${finding.dimension}): ${finding.title} [${finding.id}]"\`
- Capture commit hash
**After Step**:
- Update finding: status→"completed", result→"fixed", commit_hash→<captured>, test_passed→true, completed_at→now()
- Update flow_control: Mark "commit_changes" step as "completed" with completed_at→now()
- Update last_update→now(), write to ${group.progress_file}
#### After Each Finding
- Update summary: Recalculate counts (pending/in_progress/fixed/failed) and percent_complete
- If all findings completed: Clear current_finding, reset flow_control
- Update last_update→now(), write to ${group.progress_file}
### Final Completion
When all findings processed:
- Update status→"completed", phase→"done", summary.percent_complete→100.0
- Update last_update→now(), write final state to ${group.progress_file}
## Critical Requirements
### Progress File Updates
- **MUST update after every significant action** (before/after each step)
- **Always maintain complete structure** - never write partial updates
- **Use ISO 8601 timestamps** - e.g., "2025-01-25T14:36:00Z"
### Flow Control Format
Follow action-planning-agent flow_control.implementation_approach format:
- step: Identifier (e.g., "analyze_context", "apply_fix")
- action: Human-readable description
- status: "pending" | "in-progress" | "completed" | "failed"
- started_at: ISO 8601 timestamp or null
- completed_at: ISO 8601 timestamp or null
### Error Handling
- Capture all errors in errors[] array
- Never leave progress file in invalid state
- Always write complete updates, never partial
- On unrecoverable error: Mark group as failed, preserve state
## Test Patterns
Use fix_strategy.test_pattern to run affected tests:
- Pattern: ${group.fix_strategy.test_pattern}
- Command: Infer from project (npm test, pytest, etc.)
- Pass Criteria: 100% pass rate required
`
})
```
### Error Handling
**Planning Failures**:
- Invalid template → Abort with error message
- Insufficient findings data → Request complete export
- Planning timeout → Retry once, then fail gracefully
**Execution Failures**:
- Agent crash → Mark group as failed, continue with other groups
- Test command not found → Skip test verification, warn user
- Git operations fail → Abort with error, preserve state
**Rollback Scenarios**:
- Test failure after fix → Automatic `git checkout` rollback
- Max iterations reached → Leave file unchanged, mark as failed
- Unrecoverable error → Rollback entire group, save checkpoint
### TodoWrite Structure
**Initialization**:
```javascript
TodoWrite({
todos: [
{content: "Phase 1: Discovery & Initialization", status: "completed"},
{content: "Phase 2: Planning", status: "in_progress"},
{content: "Phase 3: Execution", status: "pending"},
{content: "Phase 4: Completion", status: "pending"}
]
});
```
**During Execution**:
```javascript
TodoWrite({
todos: [
{content: "Phase 1: Discovery & Initialization", status: "completed"},
{content: "Phase 2: Planning", status: "completed"},
{content: "Phase 3: Execution", status: "in_progress"},
{content: " → Stage 1: Parallel execution (3 groups)", status: "completed"},
{content: " • Group G1: Auth validation (2 findings)", status: "completed"},
{content: " • Group G2: Query security (3 findings)", status: "completed"},
{content: " • Group G3: Config quality (1 finding)", status: "completed"},
{content: " → Stage 2: Serial execution (1 group)", status: "in_progress"},
{content: " • Group G4: Dependent fixes (2 findings)", status: "in_progress"},
{content: "Phase 4: Completion", status: "pending"}
]
});
```
**Update Rules**:
- Add stage items dynamically based on fix-plan.json timeline
- Add group items per stage
- Mark completed immediately after each group finishes
- Update parent phase status when all child items complete
## Best Practices
1. **Trust AI Planning**: Planning agent's grouping and execution strategy are based on dependency analysis
2. **Conservative Approach**: Test verification is mandatory - no fixes kept without passing tests
3. **Parallel Efficiency**: Default 3 concurrent agents balances speed and resource usage
4. **Resume Support**: Fix sessions can resume from checkpoints after interruption
5. **Manual Review**: Always review failed fixes manually - may require architectural changes
6. **Incremental Fixing**: Start with small batches (5-10 findings) before large-scale fixes
## Related Commands
### View Fix Progress
Use `ccw view` to open the workflow dashboard in browser:
```bash
ccw view
```

View File

@@ -0,0 +1,767 @@
---
name: review-module-cycle
description: Independent multi-dimensional code review for specified modules/files. Analyzes specific code paths across 7 dimensions with hybrid parallel-iterative execution, independent of workflow sessions.
argument-hint: "<path-pattern> [--dimensions=security,architecture,...] [--max-iterations=N]"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Task(*)
---
# Workflow Review-Module-Cycle Command
## Quick Start
```bash
# Review specific module (all 7 dimensions)
/workflow:review-module-cycle src/auth/**
# Review multiple modules
/workflow:review-module-cycle src/auth/**,src/payment/**
# Review with custom dimensions
/workflow:review-module-cycle src/payment/** --dimensions=security,architecture,quality
# Review specific files
/workflow:review-module-cycle src/payment/processor.ts,src/payment/validator.ts
```
**Review Scope**: Specified modules/files only (independent of git history)
**Session Requirement**: Auto-creates workflow session via `/workflow:session:start`
**Output Directory**: `.workflow/active/WFS-{session-id}/.review/` (session-based)
**Default Dimensions**: Security, Architecture, Quality, Action-Items, Performance, Maintainability, Best-Practices
**Max Iterations**: 3 (adjustable via --max-iterations)
**Default Iterations**: 1 (deep-dive runs once; use --max-iterations=0 to skip)
**CLI Tools**: Gemini → Qwen → Codex (fallback chain)
## What & Why
### Core Concept
Independent multi-dimensional code review orchestrator with **hybrid parallel-iterative execution** for comprehensive quality assessment of **specific modules or files**.
**Review Scope**:
- **Module-based**: Reviews specified file patterns (e.g., `src/auth/**`, `*.ts`)
- **Session-integrated**: Runs within workflow session context for unified tracking
- **Output location**: `.review/` subdirectory within active session
**vs Session Review**:
- **Session Review** (`review-session-cycle`): Reviews git changes within a workflow session
- **Module Review** (`review-module-cycle`): Reviews any specified code paths, regardless of git history
- **Common output**: Both use same `.review/` directory structure within session
### Value Proposition
1. **Module-Focused Review**: Target specific code areas independent of git history
2. **Session-Integrated**: Review results tracked within workflow session for unified management
3. **Comprehensive Coverage**: Same 7 specialized dimensions as session review
4. **Intelligent Prioritization**: Automatic identification of critical issues and cross-cutting concerns
5. **Unified Archive**: Review results archived with session for historical reference
### Orchestrator Boundary (CRITICAL)
- **ONLY command** for independent multi-dimensional module review
- Manages: dimension coordination, aggregation, iteration control, progress tracking
- Delegates: Code exploration and analysis to @cli-explore-agent, dimension-specific reviews via Deep Scan mode
## How It Works
### Execution Flow
```
Phase 1: Discovery & Initialization
└─ Resolve file patterns, validate paths, initialize state, create output structure
Phase 2: Parallel Reviews (for each dimension)
├─ Launch 7 review agents simultaneously
├─ Each executes CLI analysis via Gemini/Qwen on specified files
├─ Generate dimension JSON + markdown reports
└─ Update review-progress.json
Phase 3: Aggregation
├─ Load all dimension JSON files
├─ Calculate severity distribution (critical/high/medium/low)
├─ Identify cross-cutting concerns (files in 3+ dimensions)
└─ Decision:
├─ Critical findings OR high > 5 OR critical files → Phase 4 (Iterate)
└─ Else → Phase 5 (Complete)
Phase 4: Iterative Deep-Dive (optional)
├─ Select critical findings (max 5 per iteration)
├─ Launch deep-dive agents for root cause analysis
├─ Generate remediation plans with impact assessment
├─ Re-assess severity based on analysis
└─ Loop until no critical findings OR max iterations
Phase 5: Completion
└─ Finalize review-progress.json
```
### Agent Roles
| Agent | Responsibility |
|-------|---------------|
| **Orchestrator** | Phase control, path resolution, state management, aggregation logic, iteration control |
| **@cli-explore-agent** (Review) | Execute dimension-specific code analysis via Deep Scan mode, generate findings JSON with dual-source strategy (Bash + Gemini), create structured analysis reports |
| **@cli-explore-agent** (Deep-dive) | Focused root cause analysis using dependency mapping, remediation planning with architectural insights, impact assessment, severity re-assessment |
## Enhanced Features
### 1. Review Dimensions Configuration
**7 Specialized Dimensions** with priority-based allocation:
| Dimension | Template | Priority | Timeout |
|-----------|----------|----------|---------|
| **Security** | 03-assess-security-risks.txt | 1 (Critical) | 60min |
| **Architecture** | 02-review-architecture.txt | 2 (High) | 60min |
| **Quality** | 02-review-code-quality.txt | 3 (Medium) | 40min |
| **Action-Items** | 02-analyze-code-patterns.txt | 2 (High) | 40min |
| **Performance** | 03-analyze-performance.txt | 3 (Medium) | 60min |
| **Maintainability** | 02-review-code-quality.txt* | 3 (Medium) | 40min |
| **Best-Practices** | 03-review-quality-standards.txt | 3 (Medium) | 40min |
*Custom focus: "Assess technical debt and maintainability"
**Category Definitions by Dimension**:
```javascript
const CATEGORIES = {
security: ['injection', 'authentication', 'authorization', 'encryption', 'input-validation', 'access-control', 'data-exposure'],
architecture: ['coupling', 'cohesion', 'layering', 'dependency', 'pattern-violation', 'scalability', 'separation-of-concerns'],
quality: ['code-smell', 'duplication', 'complexity', 'naming', 'error-handling', 'testability', 'readability'],
'action-items': ['requirement-coverage', 'acceptance-criteria', 'documentation', 'deployment-readiness', 'missing-functionality'],
performance: ['n-plus-one', 'inefficient-query', 'memory-leak', 'blocking-operation', 'caching', 'resource-usage'],
maintainability: ['technical-debt', 'magic-number', 'long-method', 'large-class', 'dead-code', 'commented-code'],
'best-practices': ['convention-violation', 'anti-pattern', 'deprecated-api', 'missing-validation', 'inconsistent-style']
};
```
### 2. Path Pattern Resolution
**Syntax Rules**:
- All paths are **relative** from project root (e.g., `src/auth/**` not `/src/auth/**`)
- Multiple patterns: comma-separated, **no spaces** (e.g., `src/auth/**,src/payment/**`)
- Glob and specific files can be mixed (e.g., `src/auth/**,src/config.ts`)
**Supported Patterns**:
| Pattern Type | Example | Description |
|--------------|---------|-------------|
| Glob directory | `src/auth/**` | All files under src/auth/ |
| Glob with extension | `src/**/*.ts` | All .ts files under src/ |
| Specific file | `src/payment/processor.ts` | Single file |
| Multiple patterns | `src/auth/**,src/payment/**` | Comma-separated (no spaces) |
**Resolution Process**:
1. Parse input pattern (split by comma, trim whitespace)
2. Expand glob patterns to file list via `find` command
3. Validate all files exist and are readable
4. Error if pattern matches 0 files
5. Store resolved file list in review-state.json
### 3. Aggregation Logic
**Cross-Cutting Concern Detection**:
1. Files appearing in 3+ dimensions = **Critical Files**
2. Same issue pattern across dimensions = **Systemic Issue**
3. Severity clustering in specific files = **Hotspots**
**Deep-Dive Selection Criteria**:
- All critical severity findings (priority 1)
- Top 3 high-severity findings in critical files (priority 2)
- Max 5 findings per iteration (prevent overwhelm)
### 4. Severity Assessment
**Severity Levels**:
- **Critical**: Security vulnerabilities, data corruption risks, system-wide failures, authentication/authorization bypass
- **High**: Feature degradation, performance bottlenecks, architecture violations, significant technical debt
- **Medium**: Code smells, minor performance issues, style inconsistencies, maintainability concerns
- **Low**: Documentation gaps, minor refactoring opportunities, cosmetic issues
**Iteration Trigger**:
- Critical findings > 0 OR
- High findings > 5 OR
- Critical files count > 0
## Core Responsibilities
### Orchestrator
**Phase 1: Discovery & Initialization**
**Step 1: Session Creation**
```javascript
// Create workflow session for this review (type: review)
SlashCommand(command="/workflow:session:start --type review \"Code review for [target_pattern]\"")
// Parse output
const sessionId = output.match(/SESSION_ID: (WFS-[^\s]+)/)[1];
```
**Step 2: Path Resolution & Validation**
```bash
# Expand glob pattern to file list (relative paths from project root)
find . -path "./src/auth/**" -type f | sed 's|^\./||'
# Validate files exist and are readable
for file in ${resolvedFiles[@]}; do
test -r "$file" || error "File not readable: $file"
done
```
- Parse and expand file patterns (glob support): `src/auth/**` → actual file list
- Validation: Ensure all specified files exist and are readable
- Store as **relative paths** from project root (e.g., `src/auth/service.ts`)
- Agents construct absolute paths dynamically during execution
**Step 3: Output Directory Setup**
- Output directory: `.workflow/active/${sessionId}/.review/`
- Create directory structure:
```bash
mkdir -p ${sessionDir}/.review/{dimensions,iterations,reports}
```
**Step 4: Initialize Review State**
- State initialization: Create `review-state.json` with metadata, dimensions, max_iterations, resolved_files (merged metadata + state)
- Progress tracking: Create `review-progress.json` for progress tracking
**Step 5: TodoWrite Initialization**
- Set up progress tracking with hierarchical structure
- Mark Phase 1 completed, Phase 2 in_progress
**Phase 2: Parallel Review Coordination**
- Launch 7 @cli-explore-agent instances simultaneously (Deep Scan mode)
- Pass dimension-specific context (template, timeout, custom focus, **target files**)
- Monitor completion via review-progress.json updates
- TodoWrite updates: Mark dimensions as completed
- CLI tool fallback: Gemini → Qwen → Codex (on error/timeout)
**Phase 3: Aggregation**
- Load all dimension JSON files from dimensions/
- Calculate severity distribution: Count by critical/high/medium/low
- Identify cross-cutting concerns: Files in 3+ dimensions
- Select deep-dive findings: Critical + high in critical files (max 5)
- Decision logic: Iterate if critical > 0 OR high > 5 OR critical files exist
- Update review-state.json with aggregation results
**Phase 4: Iteration Control**
- Check iteration count < max_iterations (default 3)
- Launch deep-dive agents for selected findings
- Collect remediation plans and re-assessed severities
- Update severity distribution based on re-assessments
- Record iteration in review-state.json
- Loop back to aggregation if still have critical/high findings
**Phase 5: Completion**
- Finalize review-progress.json with completion statistics
- Update review-state.json with completion_time and phase=complete
- TodoWrite completion: Mark all tasks done
### Output File Structure
```
.workflow/active/WFS-{session-id}/.review/
├── review-state.json # Orchestrator state machine (includes metadata)
├── review-progress.json # Real-time progress for dashboard
├── dimensions/ # Per-dimension results
│ ├── security.json
│ ├── architecture.json
│ ├── quality.json
│ ├── action-items.json
│ ├── performance.json
│ ├── maintainability.json
│ └── best-practices.json
├── iterations/ # Deep-dive results
│ ├── iteration-1-finding-{uuid}.json
│ └── iteration-2-finding-{uuid}.json
└── reports/ # Human-readable reports
├── security-analysis.md
├── security-cli-output.txt
├── deep-dive-1-{uuid}.md
└── ...
```
**Session Context**:
```
.workflow/active/WFS-{session-id}/
├── workflow-session.json
├── IMPL_PLAN.md
├── TODO_LIST.md
├── .task/
├── .summaries/
└── .review/ # Review results (this command)
└── (structure above)
```
### Review State JSON
**Purpose**: Unified state machine and metadata (merged from metadata + state)
```json
{
"review_id": "review-20250125-143022",
"review_type": "module",
"session_id": "WFS-auth-system",
"metadata": {
"created_at": "2025-01-25T14:30:22Z",
"target_pattern": "src/auth/**",
"resolved_files": [
"src/auth/service.ts",
"src/auth/validator.ts",
"src/auth/middleware.ts"
],
"dimensions": ["security", "architecture", "quality", "action-items", "performance", "maintainability", "best-practices"],
"max_iterations": 3
},
"phase": "parallel|aggregate|iterate|complete",
"current_iteration": 1,
"dimensions_reviewed": ["security", "architecture", "quality", "action-items", "performance", "maintainability", "best-practices"],
"selected_strategy": "comprehensive",
"next_action": "execute_parallel_reviews|aggregate_findings|execute_deep_dive|generate_final_report|complete",
"severity_distribution": {
"critical": 2,
"high": 5,
"medium": 12,
"low": 8
},
"critical_files": [...],
"iterations": [...],
"completion_criteria": {...}
}
```
### Review Progress JSON
**Purpose**: Real-time dashboard updates via polling
```json
{
"review_id": "review-20250125-143022",
"last_update": "2025-01-25T14:35:10Z",
"phase": "parallel|aggregate|iterate|complete",
"current_iteration": 1,
"progress": {
"parallel_review": {
"total_dimensions": 7,
"completed": 5,
"in_progress": 2,
"percent_complete": 71
},
"deep_dive": {
"total_findings": 6,
"analyzed": 2,
"in_progress": 1,
"percent_complete": 33
}
},
"agent_status": [
{
"agent_type": "review-agent",
"dimension": "security",
"status": "completed",
"started_at": "2025-01-25T14:30:00Z",
"completed_at": "2025-01-25T15:15:00Z",
"duration_ms": 2700000
},
{
"agent_type": "deep-dive-agent",
"finding_id": "sec-001-uuid",
"status": "in_progress",
"started_at": "2025-01-25T14:32:00Z"
}
],
"estimated_completion": "2025-01-25T16:00:00Z"
}
```
### Agent Output Schemas
**Agent-produced JSON files follow standardized schemas**:
1. **Dimension Results** (cli-explore-agent output from parallel reviews)
- Schema: `~/.claude/workflows/cli-templates/schemas/review-dimension-results-schema.json`
- Output: `{output-dir}/dimensions/{dimension}.json`
- Contains: findings array, summary statistics, cross_references
2. **Deep-Dive Results** (cli-explore-agent output from iterations)
- Schema: `~/.claude/workflows/cli-templates/schemas/review-deep-dive-results-schema.json`
- Output: `{output-dir}/iterations/iteration-{N}-finding-{uuid}.json`
- Contains: root_cause, remediation_plan, impact_assessment, reassessed_severity
### Agent Invocation Template
**Review Agent** (parallel execution, 7 instances):
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Execute ${dimension} review analysis via Deep Scan`,
prompt=`
## Task Objective
Conduct comprehensive ${dimension} code exploration and analysis using Deep Scan mode (Bash + Gemini dual-source strategy) for specified module files
## Analysis Mode Selection
Use **Deep Scan mode** for this review:
- Phase 1: Bash structural scan for standard patterns (classes, functions, imports)
- Phase 2: Gemini semantic analysis for design intent, non-standard patterns, ${dimension}-specific concerns
- Phase 3: Synthesis with attribution (bash-discovered vs gemini-discovered findings)
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Read review state: ${reviewStateJsonPath}
2. Get target files: Read resolved_files from review-state.json
3. Validate file access: bash(ls -la ${targetFiles.join(' ')})
4. Execute: cat ~/.claude/workflows/cli-templates/schemas/review-dimension-results-schema.json (get output schema reference)
## Review Context
- Review Type: module (independent)
- Review Dimension: ${dimension}
- Review ID: ${reviewId}
- Target Pattern: ${targetPattern}
- Resolved Files: ${resolvedFiles.length} files
- Output Directory: ${outputDir}
## CLI Configuration
- Tool Priority: gemini → qwen → codex (fallback chain)
- Custom Focus: ${customFocus || 'Standard dimension analysis'}
- Mode: analysis (READ-ONLY)
- Context Pattern: ${targetFiles.map(f => `@${f}`).join(' ')}
## Expected Deliverables
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 4, follow schema exactly
1. Dimension Results JSON: ${outputDir}/dimensions/${dimension}.json
**⚠️ CRITICAL JSON STRUCTURE REQUIREMENTS**:
Root structure MUST be array: \`[{ ... }]\` NOT \`{ ... }\`
Required top-level fields:
- dimension, review_id, analysis_timestamp (NOT timestamp/analyzed_at)
- cli_tool_used (gemini|qwen|codex), model, analysis_duration_ms
- summary (FLAT structure), findings, cross_references
Summary MUST be FLAT (NOT nested by_severity):
\`{ "total_findings": N, "critical": N, "high": N, "medium": N, "low": N, "files_analyzed": N, "lines_reviewed": N }\`
Finding required fields:
- id: format \`{dim}-{seq}-{uuid8}\` e.g., \`sec-001-a1b2c3d4\` (lowercase)
- severity: lowercase only (critical|high|medium|low)
- snippet (NOT code_snippet), impact (NOT exploit_scenario)
- metadata, iteration (0), status (pending_remediation), cross_references
2. Analysis Report: ${outputDir}/reports/${dimension}-analysis.md
- Human-readable summary with recommendations
- Grouped by severity: critical → high → medium → low
- Include file:line references for all findings
3. CLI Output Log: ${outputDir}/reports/${dimension}-cli-output.txt
- Raw CLI tool output for debugging
- Include full analysis text
## Dimension-Specific Guidance
${getDimensionGuidance(dimension)}
## Success Criteria
- [ ] Schema obtained via cat review-dimension-results-schema.json
- [ ] All target files analyzed for ${dimension} concerns
- [ ] All findings include file:line references with code snippets
- [ ] Severity assessment follows established criteria (see reference)
- [ ] Recommendations are actionable with code examples
- [ ] JSON output follows schema exactly
- [ ] Report is comprehensive and well-organized
`
)
```
**Deep-Dive Agent** (iteration execution):
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Deep-dive analysis for critical finding: ${findingTitle} via Dependency Map + Deep Scan`,
prompt=`
## Task Objective
Perform focused root cause analysis using Dependency Map mode (for impact analysis) + Deep Scan mode (for semantic understanding) to generate comprehensive remediation plan for critical ${dimension} issue
## Analysis Mode Selection
Use **Dependency Map mode** first to understand dependencies:
- Build dependency graph around ${file} to identify affected components
- Detect circular dependencies or tight coupling related to this finding
- Calculate change risk scores for remediation impact
Then apply **Deep Scan mode** for semantic analysis:
- Understand design intent and architectural context
- Identify non-standard patterns or implicit dependencies
- Extract remediation insights from code structure
## Finding Context
- Finding ID: ${findingId}
- Original Dimension: ${dimension}
- Title: ${findingTitle}
- File: ${file}:${line}
- Severity: ${severity}
- Category: ${category}
- Original Description: ${description}
- Iteration: ${iteration}
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Read original finding: ${dimensionJsonPath}
2. Read affected file: ${file}
3. Identify related code: bash(grep -r "import.*${basename(file)}" ${projectDir}/src --include="*.ts")
4. Read test files: bash(find ${projectDir}/tests -name "*${basename(file, '.ts')}*" -type f)
5. Execute: cat ~/.claude/workflows/cli-templates/schemas/review-deep-dive-results-schema.json (get output schema reference)
## CLI Configuration
- Tool Priority: gemini → qwen → codex
- Template: ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt
- Mode: analysis (READ-ONLY)
## Expected Deliverables
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 5, follow schema exactly
1. Deep-Dive Results JSON: ${outputDir}/iterations/iteration-${iteration}-finding-${findingId}.json
**⚠️ CRITICAL JSON STRUCTURE REQUIREMENTS**:
Root structure MUST be array: \`[{ ... }]\` NOT \`{ ... }\`
Required top-level fields:
- finding_id, dimension, iteration, analysis_timestamp
- cli_tool_used, model, analysis_duration_ms
- original_finding, root_cause, remediation_plan
- impact_assessment, reassessed_severity, confidence_score, cross_references
All nested objects must follow schema exactly - read schema for field names
2. Analysis Report: ${outputDir}/reports/deep-dive-${iteration}-${findingId}.md
- Detailed root cause analysis
- Step-by-step remediation plan
- Impact assessment and rollback strategy
## Success Criteria
- [ ] Schema obtained via cat review-deep-dive-results-schema.json
- [ ] Root cause clearly identified with supporting evidence
- [ ] Remediation plan is step-by-step actionable with exact file:line references
- [ ] Each step includes specific commands and validation tests
- [ ] Impact fully assessed (files, tests, breaking changes, dependencies)
- [ ] Severity re-evaluation justified with evidence
- [ ] Confidence score accurately reflects certainty of analysis
- [ ] JSON output follows schema exactly
- [ ] References include project-specific and external documentation
`
)
```
### Dimension Guidance Reference
```javascript
function getDimensionGuidance(dimension) {
const guidance = {
security: `
Focus Areas:
- Input validation and sanitization
- Authentication and authorization mechanisms
- Data encryption (at-rest and in-transit)
- SQL/NoSQL injection vulnerabilities
- XSS, CSRF, and other web vulnerabilities
- Sensitive data exposure
- Access control and privilege escalation
Severity Criteria:
- Critical: Authentication bypass, SQL injection, RCE, sensitive data exposure
- High: Missing authorization checks, weak encryption, exposed secrets
- Medium: Missing input validation, insecure defaults, weak password policies
- Low: Security headers missing, verbose error messages, outdated dependencies
`,
architecture: `
Focus Areas:
- Layering and separation of concerns
- Coupling and cohesion
- Design pattern adherence
- Dependency management
- Scalability and extensibility
- Module boundaries
- API design consistency
Severity Criteria:
- Critical: Circular dependencies, god objects, tight coupling across layers
- High: Violated architectural principles, scalability bottlenecks
- Medium: Missing abstractions, inconsistent patterns, suboptimal design
- Low: Minor coupling issues, documentation gaps, naming inconsistencies
`,
quality: `
Focus Areas:
- Code duplication
- Complexity (cyclomatic, cognitive)
- Naming conventions
- Error handling patterns
- Code readability
- Comment quality
- Dead code
Severity Criteria:
- Critical: Severe complexity (CC > 20), massive duplication (>50 lines)
- High: High complexity (CC > 10), significant duplication, poor error handling
- Medium: Moderate complexity (CC > 5), naming issues, code smells
- Low: Minor duplication, documentation gaps, cosmetic issues
`,
'action-items': `
Focus Areas:
- Requirements coverage verification
- Acceptance criteria met
- Documentation completeness
- Deployment readiness
- Missing functionality
- Test coverage gaps
- Configuration management
Severity Criteria:
- Critical: Core requirements not met, deployment blockers
- High: Significant functionality missing, acceptance criteria not met
- Medium: Minor requirements gaps, documentation incomplete
- Low: Nice-to-have features missing, minor documentation gaps
`,
performance: `
Focus Areas:
- N+1 query problems
- Inefficient algorithms (O(n²) where O(n log n) possible)
- Memory leaks
- Blocking operations on main thread
- Missing caching opportunities
- Resource usage (CPU, memory, network)
- Database query optimization
Severity Criteria:
- Critical: Memory leaks, O(n²) in hot path, blocking main thread
- High: N+1 queries, missing indexes, inefficient algorithms
- Medium: Suboptimal caching, unnecessary computations, lazy loading issues
- Low: Minor optimization opportunities, redundant operations
`,
maintainability: `
Focus Areas:
- Technical debt indicators
- Magic numbers and hardcoded values
- Long methods (>50 lines)
- Large classes (>500 lines)
- Dead code and commented code
- Code documentation
- Test coverage
Severity Criteria:
- Critical: Massive methods (>200 lines), severe technical debt blocking changes
- High: Large methods (>100 lines), significant dead code, undocumented complex logic
- Medium: Magic numbers, moderate technical debt, missing tests
- Low: Minor refactoring opportunities, cosmetic improvements
`,
'best-practices': `
Focus Areas:
- Framework conventions adherence
- Language idioms
- Anti-patterns
- Deprecated API usage
- Coding standards compliance
- Error handling patterns
- Logging and monitoring
Severity Criteria:
- Critical: Severe anti-patterns, deprecated APIs with security risks
- High: Major convention violations, poor error handling, missing logging
- Medium: Minor anti-patterns, style inconsistencies, suboptimal patterns
- Low: Cosmetic style issues, minor convention deviations
`
};
return guidance[dimension] || 'Standard code review analysis';
}
```
### Completion Conditions
**Full Success**:
- All dimensions reviewed
- Critical findings = 0
- High findings ≤ 5
- Action: Generate final report, mark phase=complete
**Partial Success**:
- All dimensions reviewed
- Max iterations reached
- Still have critical/high findings
- Action: Generate report with warnings, recommend follow-up
### Error Handling
**Phase-Level Error Matrix**:
| Phase | Error | Blocking? | Action |
|-------|-------|-----------|--------|
| Phase 1 | Invalid path pattern | Yes | Error and exit |
| Phase 1 | No files matched | Yes | Error and exit |
| Phase 1 | Files not readable | Yes | Error and exit |
| Phase 2 | Single dimension fails | No | Log warning, continue other dimensions |
| Phase 2 | All dimensions fail | Yes | Error and exit |
| Phase 3 | Missing dimension JSON | No | Skip in aggregation, log warning |
| Phase 4 | Deep-dive agent fails | No | Skip finding, continue others |
| Phase 4 | Max iterations reached | No | Generate partial report |
**CLI Fallback Chain**: Gemini → Qwen → Codex → degraded mode
**Fallback Triggers**:
1. HTTP 429, 5xx errors, connection timeout
2. Invalid JSON output (parse error, missing required fields)
3. Low confidence score < 0.4
4. Analysis too brief (< 100 words in report)
**Fallback Behavior**:
- On trigger: Retry with next tool in chain
- After Codex fails: Enter degraded mode (skip analysis, log error)
- Degraded mode: Continue workflow with available results
### TodoWrite Structure
```javascript
TodoWrite({
todos: [
{ content: "Phase 1: Discovery & Initialization", status: "completed", activeForm: "Initializing" },
{ content: "Phase 2: Parallel Reviews (7 dimensions)", status: "in_progress", activeForm: "Reviewing" },
{ content: " → Security review", status: "in_progress", activeForm: "Analyzing security" },
// ... other dimensions as sub-items
{ content: "Phase 3: Aggregation", status: "pending", activeForm: "Aggregating" },
{ content: "Phase 4: Deep-dive", status: "pending", activeForm: "Deep-diving" },
{ content: "Phase 5: Completion", status: "pending", activeForm: "Completing" }
]
});
```
## Best Practices
1. **Start Specific**: Begin with focused module patterns for faster results
2. **Expand Gradually**: Add more modules based on initial findings
3. **Use Glob Wisely**: `src/auth/**` is more efficient than `src/**` with lots of irrelevant files
4. **Trust Aggregation Logic**: Auto-selection based on proven heuristics
5. **Monitor Logs**: Check reports/ directory for CLI analysis insights
## Related Commands
### View Review Progress
Use `ccw view` to open the review dashboard in browser:
```bash
ccw view
```
### Automated Fix Workflow
After completing a module review, use the generated findings JSON for automated fixing:
```bash
# Step 1: Complete review (this command)
/workflow:review-module-cycle src/auth/**
# Step 2: Run automated fixes using dimension findings
/workflow:review-fix .workflow/active/WFS-{session-id}/.review/
```
See `/workflow:review-fix` for automated fixing with smart grouping, parallel execution, and test verification.

View File

@@ -0,0 +1,778 @@
---
name: review-session-cycle
description: Session-based comprehensive multi-dimensional code review. Analyzes git changes from workflow session across 7 dimensions with hybrid parallel-iterative execution, aggregates findings, and performs focused deep-dives on critical issues until quality gates met.
argument-hint: "[session-id] [--dimensions=security,architecture,...] [--max-iterations=N]"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Task(*)
---
# Workflow Review-Session-Cycle Command
## Quick Start
```bash
# Execute comprehensive session review (all 7 dimensions)
/workflow:review-session-cycle
# Review specific session with custom dimensions
/workflow:review-session-cycle WFS-payment-integration --dimensions=security,architecture,quality
# Specify session and iteration limit
/workflow:review-session-cycle WFS-payment-integration --max-iterations=5
```
**Review Scope**: Git changes from session creation to present (via `git log --since`)
**Session Requirement**: Requires active or completed workflow session
**Output Directory**: `.workflow/active/WFS-{session-id}/.review/` (session-based)
**Default Dimensions**: Security, Architecture, Quality, Action-Items, Performance, Maintainability, Best-Practices
**Max Iterations**: 3 (adjustable via --max-iterations)
**Default Iterations**: 1 (deep-dive runs once; use --max-iterations=0 to skip)
**CLI Tools**: Gemini → Qwen → Codex (fallback chain)
## What & Why
### Core Concept
Session-based multi-dimensional code review orchestrator with **hybrid parallel-iterative execution** for comprehensive quality assessment of **git changes within a workflow session**.
**Review Scope**:
- **Session-based**: Reviews only files changed during the workflow session (via `git log --since="${sessionCreatedAt}"`)
- **For independent module review**: Use `/workflow:review-module-cycle` command instead
**vs Standard Review**:
- **Standard**: Sequential manual reviews → Inconsistent coverage → Missed cross-cutting concerns
- **Review-Session-Cycle**: **Parallel automated analysis → Aggregate findings → Deep-dive critical issues** → Comprehensive coverage
### Value Proposition
1. **Comprehensive Coverage**: 7 specialized dimensions analyze all quality aspects simultaneously
2. **Intelligent Prioritization**: Automatic identification of critical issues and cross-cutting concerns
3. **Actionable Insights**: Deep-dive iterations provide step-by-step remediation plans
### Orchestrator Boundary (CRITICAL)
- **ONLY command** for comprehensive multi-dimensional review
- Manages: dimension coordination, aggregation, iteration control, progress tracking
- Delegates: Code exploration and analysis to @cli-explore-agent, dimension-specific reviews via Deep Scan mode
## How It Works
### Execution Flow (Simplified)
```
Phase 1: Discovery & Initialization
└─ Validate session, initialize state, create output structure
Phase 2: Parallel Reviews (for each dimension)
├─ Launch 7 review agents simultaneously
├─ Each executes CLI analysis via Gemini/Qwen
├─ Generate dimension JSON + markdown reports
└─ Update review-progress.json
Phase 3: Aggregation
├─ Load all dimension JSON files
├─ Calculate severity distribution (critical/high/medium/low)
├─ Identify cross-cutting concerns (files in 3+ dimensions)
└─ Decision:
├─ Critical findings OR high > 5 OR critical files → Phase 4 (Iterate)
└─ Else → Phase 5 (Complete)
Phase 4: Iterative Deep-Dive (optional)
├─ Select critical findings (max 5 per iteration)
├─ Launch deep-dive agents for root cause analysis
├─ Generate remediation plans with impact assessment
├─ Re-assess severity based on analysis
└─ Loop until no critical findings OR max iterations
Phase 5: Completion
└─ Finalize review-progress.json
```
### Agent Roles
| Agent | Responsibility |
|-------|---------------|
| **Orchestrator** | Phase control, session discovery, state management, aggregation logic, iteration control |
| **@cli-explore-agent** (Review) | Execute dimension-specific code analysis via Deep Scan mode, generate findings JSON with dual-source strategy (Bash + Gemini), create structured analysis reports |
| **@cli-explore-agent** (Deep-dive) | Focused root cause analysis using dependency mapping, remediation planning with architectural insights, impact assessment, severity re-assessment |
## Enhanced Features
### 1. Review Dimensions Configuration
**7 Specialized Dimensions** with priority-based allocation:
| Dimension | Template | Priority | Timeout |
|-----------|----------|----------|---------|
| **Security** | 03-assess-security-risks.txt | 1 (Critical) | 60min |
| **Architecture** | 02-review-architecture.txt | 2 (High) | 60min |
| **Quality** | 02-review-code-quality.txt | 3 (Medium) | 40min |
| **Action-Items** | 02-analyze-code-patterns.txt | 2 (High) | 40min |
| **Performance** | 03-analyze-performance.txt | 3 (Medium) | 60min |
| **Maintainability** | 02-review-code-quality.txt* | 3 (Medium) | 40min |
| **Best-Practices** | 03-review-quality-standards.txt | 3 (Medium) | 40min |
*Custom focus: "Assess technical debt and maintainability"
**Category Definitions by Dimension**:
```javascript
const CATEGORIES = {
security: ['injection', 'authentication', 'authorization', 'encryption', 'input-validation', 'access-control', 'data-exposure'],
architecture: ['coupling', 'cohesion', 'layering', 'dependency', 'pattern-violation', 'scalability', 'separation-of-concerns'],
quality: ['code-smell', 'duplication', 'complexity', 'naming', 'error-handling', 'testability', 'readability'],
'action-items': ['requirement-coverage', 'acceptance-criteria', 'documentation', 'deployment-readiness', 'missing-functionality'],
performance: ['n-plus-one', 'inefficient-query', 'memory-leak', 'blocking-operation', 'caching', 'resource-usage'],
maintainability: ['technical-debt', 'magic-number', 'long-method', 'large-class', 'dead-code', 'commented-code'],
'best-practices': ['convention-violation', 'anti-pattern', 'deprecated-api', 'missing-validation', 'inconsistent-style']
};
```
### 2. Aggregation Logic
**Cross-Cutting Concern Detection**:
1. Files appearing in 3+ dimensions = **Critical Files**
2. Same issue pattern across dimensions = **Systemic Issue**
3. Severity clustering in specific files = **Hotspots**
**Deep-Dive Selection Criteria**:
- All critical severity findings (priority 1)
- Top 3 high-severity findings in critical files (priority 2)
- Max 5 findings per iteration (prevent overwhelm)
### 3. Severity Assessment
**Severity Levels**:
- **Critical**: Security vulnerabilities, data corruption risks, system-wide failures, authentication/authorization bypass
- **High**: Feature degradation, performance bottlenecks, architecture violations, significant technical debt
- **Medium**: Code smells, minor performance issues, style inconsistencies, maintainability concerns
- **Low**: Documentation gaps, minor refactoring opportunities, cosmetic issues
**Iteration Trigger**:
- Critical findings > 0 OR
- High findings > 5 OR
- Critical files count > 0
## Core Responsibilities
### Orchestrator
**Phase 1: Discovery & Initialization**
**Step 1: Session Discovery**
```javascript
// If session ID not provided, auto-detect
if (!providedSessionId) {
// Check for active sessions
const activeSessions = Glob('.workflow/active/WFS-*');
if (activeSessions.length === 1) {
sessionId = activeSessions[0].match(/WFS-[^/]+/)[0];
} else if (activeSessions.length > 1) {
// List sessions and prompt user
error("Multiple active sessions found. Please specify session ID.");
} else {
error("No active session found. Create session first with /workflow:session:start");
}
} else {
sessionId = providedSessionId;
}
// Validate session exists
Bash(`test -d .workflow/active/${sessionId} && echo "EXISTS"`);
```
**Step 2: Session Validation**
- Ensure session has implementation artifacts (check `.summaries/` or `.task/` directory)
- Extract session creation timestamp from `workflow-session.json`
- Use timestamp for git log filtering: `git log --since="${sessionCreatedAt}"`
**Step 3: Changed Files Detection**
```bash
# Get files changed since session creation
git log --since="${sessionCreatedAt}" --name-only --pretty=format: | sort -u
```
**Step 4: Output Directory Setup**
- Output directory: `.workflow/active/${sessionId}/.review/`
- Create directory structure:
```bash
mkdir -p ${sessionDir}/.review/{dimensions,iterations,reports}
```
**Step 5: Initialize Review State**
- State initialization: Create `review-state.json` with metadata, dimensions, max_iterations (merged metadata + state)
- Progress tracking: Create `review-progress.json` for progress tracking
**Step 6: TodoWrite Initialization**
- Set up progress tracking with hierarchical structure
- Mark Phase 1 completed, Phase 2 in_progress
**Phase 2: Parallel Review Coordination**
- Launch 7 @cli-explore-agent instances simultaneously (Deep Scan mode)
- Pass dimension-specific context (template, timeout, custom focus)
- Monitor completion via review-progress.json updates
- TodoWrite updates: Mark dimensions as completed
- CLI tool fallback: Gemini → Qwen → Codex (on error/timeout)
**Phase 3: Aggregation**
- Load all dimension JSON files from dimensions/
- Calculate severity distribution: Count by critical/high/medium/low
- Identify cross-cutting concerns: Files in 3+ dimensions
- Select deep-dive findings: Critical + high in critical files (max 5)
- Decision logic: Iterate if critical > 0 OR high > 5 OR critical files exist
- Update review-state.json with aggregation results
**Phase 4: Iteration Control**
- Check iteration count < max_iterations (default 3)
- Launch deep-dive agents for selected findings
- Collect remediation plans and re-assessed severities
- Update severity distribution based on re-assessments
- Record iteration in review-state.json
- Loop back to aggregation if still have critical/high findings
**Phase 5: Completion**
- Finalize review-progress.json with completion statistics
- Update review-state.json with completion_time and phase=complete
- TodoWrite completion: Mark all tasks done
### Session File Structure
```
.workflow/active/WFS-{session-id}/.review/
├── review-state.json # Orchestrator state machine (includes metadata)
├── review-progress.json # Real-time progress for dashboard
├── dimensions/ # Per-dimension results
│ ├── security.json
│ ├── architecture.json
│ ├── quality.json
│ ├── action-items.json
│ ├── performance.json
│ ├── maintainability.json
│ └── best-practices.json
├── iterations/ # Deep-dive results
│ ├── iteration-1-finding-{uuid}.json
│ └── iteration-2-finding-{uuid}.json
└── reports/ # Human-readable reports
├── security-analysis.md
├── security-cli-output.txt
├── deep-dive-1-{uuid}.md
└── ...
```
**Session Context**:
```
.workflow/active/WFS-{session-id}/
├── workflow-session.json
├── IMPL_PLAN.md
├── TODO_LIST.md
├── .task/
├── .summaries/
└── .review/ # Review results (this command)
└── (structure above)
```
### Review State JSON
**Purpose**: Unified state machine and metadata (merged from metadata + state)
```json
{
"session_id": "WFS-payment-integration",
"review_id": "review-20250125-143022",
"review_type": "session",
"metadata": {
"created_at": "2025-01-25T14:30:22Z",
"git_changes": {
"commit_range": "abc123..def456",
"files_changed": 15,
"insertions": 342,
"deletions": 128
},
"dimensions": ["security", "architecture", "quality", "action-items", "performance", "maintainability", "best-practices"],
"max_iterations": 3
},
"phase": "parallel|aggregate|iterate|complete",
"current_iteration": 1,
"dimensions_reviewed": ["security", "architecture", "quality", "action-items", "performance", "maintainability", "best-practices"],
"selected_strategy": "comprehensive",
"next_action": "execute_parallel_reviews|aggregate_findings|execute_deep_dive|generate_final_report|complete",
"severity_distribution": {
"critical": 2,
"high": 5,
"medium": 12,
"low": 8
},
"critical_files": [
{
"file": "src/payment/processor.ts",
"finding_count": 5,
"dimensions": ["security", "architecture", "quality"]
}
],
"iterations": [
{
"iteration": 1,
"findings_analyzed": ["uuid-1", "uuid-2"],
"findings_resolved": 1,
"findings_escalated": 1,
"severity_change": {
"before": {"critical": 2, "high": 5, "medium": 12, "low": 8},
"after": {"critical": 1, "high": 6, "medium": 12, "low": 8}
},
"timestamp": "2025-01-25T14:30:00Z"
}
],
"completion_criteria": {
"target": "no_critical_findings_and_high_under_5",
"current_status": "in_progress",
"estimated_completion": "2 iterations remaining"
}
}
```
**Field Descriptions**:
- `phase`: Current execution phase (state machine pointer)
- `current_iteration`: Iteration counter (used for max check)
- `next_action`: Next step orchestrator should execute
- `severity_distribution`: Aggregated counts across all dimensions
- `critical_files`: Files appearing in 3+ dimensions with metadata
- `iterations[]`: Historical log for trend analysis
### Review Progress JSON
**Purpose**: Real-time dashboard updates via polling
```json
{
"review_id": "review-20250125-143022",
"last_update": "2025-01-25T14:35:10Z",
"phase": "parallel|aggregate|iterate|complete",
"current_iteration": 1,
"progress": {
"parallel_review": {
"total_dimensions": 7,
"completed": 5,
"in_progress": 2,
"percent_complete": 71
},
"deep_dive": {
"total_findings": 6,
"analyzed": 2,
"in_progress": 1,
"percent_complete": 33
}
},
"agent_status": [
{
"agent_type": "review-agent",
"dimension": "security",
"status": "completed",
"started_at": "2025-01-25T14:30:00Z",
"completed_at": "2025-01-25T15:15:00Z",
"duration_ms": 2700000
},
{
"agent_type": "deep-dive-agent",
"finding_id": "sec-001-uuid",
"status": "in_progress",
"started_at": "2025-01-25T14:32:00Z"
}
],
"estimated_completion": "2025-01-25T16:00:00Z"
}
```
### Agent Output Schemas
**Agent-produced JSON files follow standardized schemas**:
1. **Dimension Results** (cli-explore-agent output from parallel reviews)
- Schema: `~/.claude/workflows/cli-templates/schemas/review-dimension-results-schema.json`
- Output: `.review-cycle/dimensions/{dimension}.json`
- Contains: findings array, summary statistics, cross_references
2. **Deep-Dive Results** (cli-explore-agent output from iterations)
- Schema: `~/.claude/workflows/cli-templates/schemas/review-deep-dive-results-schema.json`
- Output: `.review-cycle/iterations/iteration-{N}-finding-{uuid}.json`
- Contains: root_cause, remediation_plan, impact_assessment, reassessed_severity
### Agent Invocation Template
**Review Agent** (parallel execution, 7 instances):
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Execute ${dimension} review analysis via Deep Scan`,
prompt=`
## Task Objective
Conduct comprehensive ${dimension} code exploration and analysis using Deep Scan mode (Bash + Gemini dual-source strategy) for completed implementation in session ${sessionId}
## Analysis Mode Selection
Use **Deep Scan mode** for this review:
- Phase 1: Bash structural scan for standard patterns (classes, functions, imports)
- Phase 2: Gemini semantic analysis for design intent, non-standard patterns, ${dimension}-specific concerns
- Phase 3: Synthesis with attribution (bash-discovered vs gemini-discovered findings)
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Read session metadata: ${sessionMetadataPath}
2. Read completed task summaries: bash(find ${summariesDir} -name "IMPL-*.md" -type f)
3. Get changed files: bash(cd ${workflowDir} && git log --since="${sessionCreatedAt}" --name-only --pretty=format: | sort -u)
4. Read review state: ${reviewStateJsonPath}
5. Execute: cat ~/.claude/workflows/cli-templates/schemas/review-dimension-results-schema.json (get output schema reference)
## Session Context
- Session ID: ${sessionId}
- Review Dimension: ${dimension}
- Review ID: ${reviewId}
- Implementation Phase: Complete (all tests passing)
- Output Directory: ${outputDir}
## CLI Configuration
- Tool Priority: gemini → qwen → codex (fallback chain)
- Template: ~/.claude/workflows/cli-templates/prompts/analysis/${dimensionTemplate}
- Custom Focus: ${customFocus || 'Standard dimension analysis'}
- Timeout: ${timeout}ms
- Mode: analysis (READ-ONLY)
## Expected Deliverables
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 5, follow schema exactly
1. Dimension Results JSON: ${outputDir}/dimensions/${dimension}.json
**⚠️ CRITICAL JSON STRUCTURE REQUIREMENTS**:
Root structure MUST be array: \`[{ ... }]\` NOT \`{ ... }\`
Required top-level fields:
- dimension, review_id, analysis_timestamp (NOT timestamp/analyzed_at)
- cli_tool_used (gemini|qwen|codex), model, analysis_duration_ms
- summary (FLAT structure), findings, cross_references
Summary MUST be FLAT (NOT nested by_severity):
\`{ "total_findings": N, "critical": N, "high": N, "medium": N, "low": N, "files_analyzed": N, "lines_reviewed": N }\`
Finding required fields:
- id: format \`{dim}-{seq}-{uuid8}\` e.g., \`sec-001-a1b2c3d4\` (lowercase)
- severity: lowercase only (critical|high|medium|low)
- snippet (NOT code_snippet), impact (NOT exploit_scenario)
- metadata, iteration (0), status (pending_remediation), cross_references
2. Analysis Report: ${outputDir}/reports/${dimension}-analysis.md
- Human-readable summary with recommendations
- Grouped by severity: critical → high → medium → low
- Include file:line references for all findings
3. CLI Output Log: ${outputDir}/reports/${dimension}-cli-output.txt
- Raw CLI tool output for debugging
- Include full analysis text
## Dimension-Specific Guidance
${getDimensionGuidance(dimension)}
## Success Criteria
- [ ] Schema obtained via cat review-dimension-results-schema.json
- [ ] All changed files analyzed for ${dimension} concerns
- [ ] All findings include file:line references with code snippets
- [ ] Severity assessment follows established criteria (see reference)
- [ ] Recommendations are actionable with code examples
- [ ] JSON output follows schema exactly
- [ ] Report is comprehensive and well-organized
`
)
```
**Deep-Dive Agent** (iteration execution):
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Deep-dive analysis for critical finding: ${findingTitle} via Dependency Map + Deep Scan`,
prompt=`
## Task Objective
Perform focused root cause analysis using Dependency Map mode (for impact analysis) + Deep Scan mode (for semantic understanding) to generate comprehensive remediation plan for critical ${dimension} issue
## Analysis Mode Selection
Use **Dependency Map mode** first to understand dependencies:
- Build dependency graph around ${file} to identify affected components
- Detect circular dependencies or tight coupling related to this finding
- Calculate change risk scores for remediation impact
Then apply **Deep Scan mode** for semantic analysis:
- Understand design intent and architectural context
- Identify non-standard patterns or implicit dependencies
- Extract remediation insights from code structure
## Finding Context
- Finding ID: ${findingId}
- Original Dimension: ${dimension}
- Title: ${findingTitle}
- File: ${file}:${line}
- Severity: ${severity}
- Category: ${category}
- Original Description: ${description}
- Iteration: ${iteration}
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Read original finding: ${dimensionJsonPath}
2. Read affected file: ${file}
3. Identify related code: bash(grep -r "import.*${basename(file)}" ${workflowDir}/src --include="*.ts")
4. Read test files: bash(find ${workflowDir}/tests -name "*${basename(file, '.ts')}*" -type f)
5. Execute: cat ~/.claude/workflows/cli-templates/schemas/review-deep-dive-results-schema.json (get output schema reference)
## CLI Configuration
- Tool Priority: gemini → qwen → codex
- Template: ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt
- Timeout: 2400000ms (40 minutes)
- Mode: analysis (READ-ONLY)
## Expected Deliverables
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 5, follow schema exactly
1. Deep-Dive Results JSON: ${outputDir}/iterations/iteration-${iteration}-finding-${findingId}.json
**⚠️ CRITICAL JSON STRUCTURE REQUIREMENTS**:
Root structure MUST be array: \`[{ ... }]\` NOT \`{ ... }\`
Required top-level fields:
- finding_id, dimension, iteration, analysis_timestamp
- cli_tool_used, model, analysis_duration_ms
- original_finding, root_cause, remediation_plan
- impact_assessment, reassessed_severity, confidence_score, cross_references
All nested objects must follow schema exactly - read schema for field names
2. Analysis Report: ${outputDir}/reports/deep-dive-${iteration}-${findingId}.md
- Detailed root cause analysis
- Step-by-step remediation plan
- Impact assessment and rollback strategy
## Success Criteria
- [ ] Schema obtained via cat review-deep-dive-results-schema.json
- [ ] Root cause clearly identified with supporting evidence
- [ ] Remediation plan is step-by-step actionable with exact file:line references
- [ ] Each step includes specific commands and validation tests
- [ ] Impact fully assessed (files, tests, breaking changes, dependencies)
- [ ] Severity re-evaluation justified with evidence
- [ ] Confidence score accurately reflects certainty of analysis
- [ ] JSON output follows schema exactly
- [ ] References include project-specific and external documentation
`
)
```
### Dimension Guidance Reference
```javascript
function getDimensionGuidance(dimension) {
const guidance = {
security: `
Focus Areas:
- Input validation and sanitization
- Authentication and authorization mechanisms
- Data encryption (at-rest and in-transit)
- SQL/NoSQL injection vulnerabilities
- XSS, CSRF, and other web vulnerabilities
- Sensitive data exposure
- Access control and privilege escalation
Severity Criteria:
- Critical: Authentication bypass, SQL injection, RCE, sensitive data exposure
- High: Missing authorization checks, weak encryption, exposed secrets
- Medium: Missing input validation, insecure defaults, weak password policies
- Low: Security headers missing, verbose error messages, outdated dependencies
`,
architecture: `
Focus Areas:
- Layering and separation of concerns
- Coupling and cohesion
- Design pattern adherence
- Dependency management
- Scalability and extensibility
- Module boundaries
- API design consistency
Severity Criteria:
- Critical: Circular dependencies, god objects, tight coupling across layers
- High: Violated architectural principles, scalability bottlenecks
- Medium: Missing abstractions, inconsistent patterns, suboptimal design
- Low: Minor coupling issues, documentation gaps, naming inconsistencies
`,
quality: `
Focus Areas:
- Code duplication
- Complexity (cyclomatic, cognitive)
- Naming conventions
- Error handling patterns
- Code readability
- Comment quality
- Dead code
Severity Criteria:
- Critical: Severe complexity (CC > 20), massive duplication (>50 lines)
- High: High complexity (CC > 10), significant duplication, poor error handling
- Medium: Moderate complexity (CC > 5), naming issues, code smells
- Low: Minor duplication, documentation gaps, cosmetic issues
`,
'action-items': `
Focus Areas:
- Requirements coverage verification
- Acceptance criteria met
- Documentation completeness
- Deployment readiness
- Missing functionality
- Test coverage gaps
- Configuration management
Severity Criteria:
- Critical: Core requirements not met, deployment blockers
- High: Significant functionality missing, acceptance criteria not met
- Medium: Minor requirements gaps, documentation incomplete
- Low: Nice-to-have features missing, minor documentation gaps
`,
performance: `
Focus Areas:
- N+1 query problems
- Inefficient algorithms (O(n²) where O(n log n) possible)
- Memory leaks
- Blocking operations on main thread
- Missing caching opportunities
- Resource usage (CPU, memory, network)
- Database query optimization
Severity Criteria:
- Critical: Memory leaks, O(n²) in hot path, blocking main thread
- High: N+1 queries, missing indexes, inefficient algorithms
- Medium: Suboptimal caching, unnecessary computations, lazy loading issues
- Low: Minor optimization opportunities, redundant operations
`,
maintainability: `
Focus Areas:
- Technical debt indicators
- Magic numbers and hardcoded values
- Long methods (>50 lines)
- Large classes (>500 lines)
- Dead code and commented code
- Code documentation
- Test coverage
Severity Criteria:
- Critical: Massive methods (>200 lines), severe technical debt blocking changes
- High: Large methods (>100 lines), significant dead code, undocumented complex logic
- Medium: Magic numbers, moderate technical debt, missing tests
- Low: Minor refactoring opportunities, cosmetic improvements
`,
'best-practices': `
Focus Areas:
- Framework conventions adherence
- Language idioms
- Anti-patterns
- Deprecated API usage
- Coding standards compliance
- Error handling patterns
- Logging and monitoring
Severity Criteria:
- Critical: Severe anti-patterns, deprecated APIs with security risks
- High: Major convention violations, poor error handling, missing logging
- Medium: Minor anti-patterns, style inconsistencies, suboptimal patterns
- Low: Cosmetic style issues, minor convention deviations
`
};
return guidance[dimension] || 'Standard code review analysis';
}
```
### Completion Conditions
**Full Success**:
- All dimensions reviewed
- Critical findings = 0
- High findings ≤ 5
- Action: Generate final report, mark phase=complete
**Partial Success**:
- All dimensions reviewed
- Max iterations reached
- Still have critical/high findings
- Action: Generate report with warnings, recommend follow-up
### Error Handling
**Phase-Level Error Matrix**:
| Phase | Error | Blocking? | Action |
|-------|-------|-----------|--------|
| Phase 1 | Session not found | Yes | Error and exit |
| Phase 1 | No completed tasks | Yes | Error and exit |
| Phase 1 | No changed files | Yes | Error and exit |
| Phase 2 | Single dimension fails | No | Log warning, continue other dimensions |
| Phase 2 | All dimensions fail | Yes | Error and exit |
| Phase 3 | Missing dimension JSON | No | Skip in aggregation, log warning |
| Phase 4 | Deep-dive agent fails | No | Skip finding, continue others |
| Phase 4 | Max iterations reached | No | Generate partial report |
**CLI Fallback Chain**: Gemini → Qwen → Codex → degraded mode
**Fallback Triggers**:
1. HTTP 429, 5xx errors, connection timeout
2. Invalid JSON output (parse error, missing required fields)
3. Low confidence score < 0.4
4. Analysis too brief (< 100 words in report)
**Fallback Behavior**:
- On trigger: Retry with next tool in chain
- After Codex fails: Enter degraded mode (skip analysis, log error)
- Degraded mode: Continue workflow with available results
### TodoWrite Structure
```javascript
TodoWrite({
todos: [
{ content: "Phase 1: Discovery & Initialization", status: "completed", activeForm: "Initializing" },
{ content: "Phase 2: Parallel Reviews (7 dimensions)", status: "in_progress", activeForm: "Reviewing" },
{ content: " → Security review", status: "in_progress", activeForm: "Analyzing security" },
// ... other dimensions as sub-items
{ content: "Phase 3: Aggregation", status: "pending", activeForm: "Aggregating" },
{ content: "Phase 4: Deep-dive", status: "pending", activeForm: "Deep-diving" },
{ content: "Phase 5: Completion", status: "pending", activeForm: "Completing" }
]
});
```
## Best Practices
1. **Default Settings Work**: 7 dimensions + 3 iterations sufficient for most cases
2. **Parallel Execution**: ~60 minutes for full initial review (7 dimensions)
3. **Trust Aggregation Logic**: Auto-selection based on proven heuristics
4. **Monitor Logs**: Check reports/ directory for CLI analysis insights
## Related Commands
### View Review Progress
Use `ccw view` to open the review dashboard in browser:
```bash
ccw view
```
### Automated Fix Workflow
After completing a review, use the generated findings JSON for automated fixing:
```bash
# Step 1: Complete review (this command)
/workflow:review-session-cycle
# Step 2: Run automated fixes using dimension findings
/workflow:review-fix .workflow/active/WFS-{session-id}/.review/
```
See `/workflow:review-fix` for automated fixing with smart grouping, parallel execution, and test verification.

View File

@@ -29,6 +29,39 @@ argument-hint: "[--type=security|architecture|action-items|quality] [optional: s
- For documentation generation, use `/workflow:tools:docs`
- For CLAUDE.md updates, use `/update-memory-related`
## Execution Process
```
Input Parsing:
├─ Parse --type flag (default: quality)
└─ Parse session-id argument (optional)
Step 1: Session Resolution
└─ Decision:
├─ session-id provided → Use provided session
└─ Not provided → Auto-detect from .workflow/active/
Step 2: Validation
├─ Check session directory exists
└─ Check for completed implementation (.summaries/IMPL-*.md exists)
Step 3: Type Check
└─ Decision:
├─ type=docs → Redirect to /workflow:tools:docs
└─ Other types → Continue to analysis
Step 4: Model Analysis Phase
├─ Load context (summaries, test results, changed files)
└─ Perform specialized review by type:
├─ security → Security patterns + Gemini analysis
├─ architecture → Qwen architecture analysis
├─ quality → Gemini code quality analysis
└─ action-items → Requirements verification
Step 5: Generate Report
└─ Output: REVIEW-{type}.md
```
## Execution Template
```bash
@@ -79,11 +112,15 @@ After bash validation, the model takes control to:
1. **Load Context**: Read completed task summaries and changed files
```bash
# Load implementation summaries
cat .workflow/active/${sessionId}/.summaries/IMPL-*.md
# Load implementation summaries (iterate through .summaries/ directory)
for summary in .workflow/active/${sessionId}/.summaries/*.md; do
cat "$summary"
done
# Load test results (if available)
cat .workflow/active/${sessionId}/.summaries/TEST-FIX-*.md 2>/dev/null
for test_summary in .workflow/active/${sessionId}/.summaries/TEST-FIX-*.md 2>/dev/null; do
cat "$test_summary"
done
# Get changed files
git log --since="$(cat .workflow/active/${sessionId}/workflow-session.json | jq -r .created_at)" --name-only --pretty=format: | sort -u
@@ -99,51 +136,53 @@ After bash validation, the model takes control to:
```
- Use Gemini for security analysis:
```bash
cd .workflow/active/${sessionId} && gemini -p "
ccw cli -p "
PURPOSE: Security audit of completed implementation
TASK: Review code for security vulnerabilities, insecure patterns, auth/authz issues
CONTEXT: @.summaries/IMPL-*.md,../.. @../../CLAUDE.md
EXPECTED: Security findings report with severity levels
RULES: Focus on OWASP Top 10, authentication, authorization, data validation, injection risks
" --approval-mode yolo
" --tool gemini --mode write --cd .workflow/active/${sessionId}
```
**Architecture Review** (`--type=architecture`):
- Use Qwen for architecture analysis:
```bash
cd .workflow/active/${sessionId} && qwen -p "
ccw cli -p "
PURPOSE: Architecture compliance review
TASK: Evaluate adherence to architectural patterns, identify technical debt, review design decisions
CONTEXT: @.summaries/IMPL-*.md,../.. @../../CLAUDE.md
EXPECTED: Architecture assessment with recommendations
RULES: Check for patterns, separation of concerns, modularity, scalability
" --approval-mode yolo
" --tool qwen --mode write --cd .workflow/active/${sessionId}
```
**Quality Review** (`--type=quality`):
- Use Gemini for code quality:
```bash
cd .workflow/active/${sessionId} && gemini -p "
ccw cli -p "
PURPOSE: Code quality and best practices review
TASK: Assess code readability, maintainability, adherence to best practices
CONTEXT: @.summaries/IMPL-*.md,../.. @../../CLAUDE.md
EXPECTED: Quality assessment with improvement suggestions
RULES: Check for code smells, duplication, complexity, naming conventions
" --approval-mode yolo
" --tool gemini --mode write --cd .workflow/active/${sessionId}
```
**Action Items Review** (`--type=action-items`):
- Verify all requirements and acceptance criteria met:
```bash
# Load task requirements and acceptance criteria
find .workflow/active/${sessionId}/.task -name "IMPL-*.json" -exec jq -r '
"Task: " + .id + "\n" +
"Requirements: " + (.context.requirements | join(", ")) + "\n" +
"Acceptance: " + (.context.acceptance | join(", "))
' {} \;
for task_file in .workflow/active/${sessionId}/.task/*.json; do
cat "$task_file" | jq -r '
"Task: " + .id + "\n" +
"Requirements: " + (.context.requirements | join(", ")) + "\n" +
"Acceptance: " + (.context.acceptance | join(", "))
'
done
# Check implementation summaries against requirements
cd .workflow/active/${sessionId} && gemini -p "
ccw cli -p "
PURPOSE: Verify all requirements and acceptance criteria are met
TASK: Cross-check implementation summaries against original requirements
CONTEXT: @.task/IMPL-*.json,.summaries/IMPL-*.md,../.. @../../CLAUDE.md
@@ -157,7 +196,7 @@ After bash validation, the model takes control to:
- Verify all acceptance criteria are met
- Flag any incomplete or missing action items
- Assess deployment readiness
" --approval-mode yolo
" --tool gemini --mode write --cd .workflow/active/${sessionId}
```

View File

@@ -8,483 +8,146 @@ examples:
# Complete Workflow Session (/workflow:session:complete)
## Overview
Mark the currently active workflow session as complete, analyze it for lessons learned, move it to the archive directory, and remove the active flag marker.
Mark the currently active workflow session as complete, archive it, and update manifests.
## Usage
```bash
/workflow:session:complete # Complete current active session
/workflow:session:complete --detailed # Show detailed completion summary
```
## Implementation Flow
### Phase 1: Pre-Archival Preparation (Transactional Setup)
**Purpose**: Find active session, create archiving marker to prevent concurrent operations. Session remains in active location for agent processing.
#### Step 1.1: Find Active Session and Get Name
```bash
# Find active session directory
bash(find .workflow/active/ -name "WFS-*" -type d | head -1)
# Extract session name from directory path
bash(basename .workflow/active/WFS-session-name)
```
**Output**: Session name `WFS-session-name`
#### Step 1.2: Check for Existing Archiving Marker (Resume Detection)
```bash
# Check if session is already being archived
bash(test -f .workflow/active/WFS-session-name/.archiving && echo "RESUMING" || echo "NEW")
```
**If RESUMING**:
- Previous archival attempt was interrupted
- Skip to Phase 2 to resume agent analysis
**If NEW**:
- Continue to Step 1.3
#### Step 1.3: Create Archiving Marker
```bash
# Mark session as "archiving in progress"
bash(touch .workflow/active/WFS-session-name/.archiving)
```
**Purpose**:
- Prevents concurrent operations on this session
- Enables recovery if archival fails
- Session remains in `.workflow/active/` for agent analysis
**Result**: Session still at `.workflow/active/WFS-session-name/` with `.archiving` marker
### Phase 2: Agent Analysis (In-Place Processing)
**Purpose**: Agent analyzes session WHILE STILL IN ACTIVE LOCATION. Generates metadata but does NOT move files or update manifest.
#### Agent Invocation
Invoke `universal-executor` agent to analyze session and prepare archive metadata.
**Agent Task**:
```
Task(
subagent_type="universal-executor",
description="Analyze session for archival",
prompt=`
Analyze workflow session for archival preparation. Session is STILL in active location.
## Context
- Session: .workflow/active/WFS-session-name/
- Status: Marked as archiving (.archiving marker present)
- Location: Active sessions directory (NOT archived yet)
## Tasks
1. **Extract session data** from workflow-session.json
- session_id, description/topic, started_at, completed_at, status
- If status != "completed", update it with timestamp
2. **Count files**: tasks (.task/*.json) and summaries (.summaries/*.md)
3. **Generate lessons**: Use gemini with ~/.claude/workflows/cli-templates/prompts/archive/analysis-simple.txt
- Return: {successes, challenges, watch_patterns}
4. **Build archive entry**:
- Calculate: duration_hours, success_rate, tags (3-5 keywords)
- Construct complete JSON with session_id, description, archived_at, metrics, tags, lessons
- Include archive_path: ".workflow/archives/WFS-session-name" (future location)
5. **Extract feature metadata** (for Phase 4):
- Parse IMPL_PLAN.md for title (first # heading)
- Extract description (first paragraph, max 200 chars)
- Generate feature tags (3-5 keywords from content)
6. **Return result**: Complete metadata package for atomic commit
{
"status": "success",
"session_id": "WFS-session-name",
"archive_entry": {
"session_id": "...",
"description": "...",
"archived_at": "...",
"archive_path": ".workflow/archives/WFS-session-name",
"metrics": {...},
"tags": [...],
"lessons": {...}
},
"feature_metadata": {
"title": "...",
"description": "...",
"tags": [...]
}
}
## Important Constraints
- DO NOT move or delete any files
- DO NOT update manifest.json yet
- Session remains in .workflow/active/ during analysis
- Return complete metadata package for orchestrator to commit atomically
## Error Handling
- On failure: return {"status": "error", "task": "...", "message": "..."}
- Do NOT modify any files on error
`
)
```
**Expected Output**:
- Agent returns complete metadata package
- Session remains in `.workflow/active/` with `.archiving` marker
- No files moved or manifests updated yet
### Phase 3: Atomic Commit (Transactional File Operations)
**Purpose**: Atomically commit all changes. Only execute if Phase 2 succeeds.
#### Step 3.1: Create Archive Directory
```bash
bash(mkdir -p .workflow/archives/)
```
#### Step 3.2: Move Session to Archive
```bash
bash(mv .workflow/active/WFS-session-name .workflow/archives/WFS-session-name)
```
**Result**: Session now at `.workflow/archives/WFS-session-name/`
#### Step 3.3: Update Manifest
```bash
# Read current manifest (or create empty array if not exists)
bash(test -f .workflow/archives/manifest.json && cat .workflow/archives/manifest.json || echo "[]")
```
**JSON Update Logic**:
```javascript
// Read agent result from Phase 2
const agentResult = JSON.parse(agentOutput);
const archiveEntry = agentResult.archive_entry;
// Read existing manifest
let manifest = [];
try {
const manifestContent = Read('.workflow/archives/manifest.json');
manifest = JSON.parse(manifestContent);
} catch {
manifest = []; // Initialize if not exists
}
// Append new entry
manifest.push(archiveEntry);
// Write back
Write('.workflow/archives/manifest.json', JSON.stringify(manifest, null, 2));
```
#### Step 3.4: Remove Archiving Marker
```bash
bash(rm .workflow/archives/WFS-session-name/.archiving)
```
**Result**: Clean archived session without temporary markers
**Output Confirmation**:
```
✓ Session "${sessionId}" archived successfully
Location: .workflow/archives/WFS-session-name/
Lessons: ${archiveEntry.lessons.successes.length} successes, ${archiveEntry.lessons.challenges.length} challenges
Manifest: Updated with ${manifest.length} total sessions
```
### Phase 4: Update Project Feature Registry
**Purpose**: Record completed session as a project feature in `.workflow/project.json`.
**Execution**: Uses feature metadata from Phase 2 agent result to update project registry.
#### Step 4.1: Check Project State Exists
```bash
bash(test -f .workflow/project.json && echo "EXISTS" || echo "SKIP")
```
**If SKIP**: Output warning and skip Phase 4
```
WARNING: No project.json found. Run /workflow:session:start to initialize.
```
#### Step 4.2: Extract Feature Information from Agent Result
**Data Processing** (Uses Phase 2 agent output):
```javascript
// Extract feature metadata from agent result
const agentResult = JSON.parse(agentOutput);
const featureMeta = agentResult.feature_metadata;
// Data already prepared by agent:
const title = featureMeta.title;
const description = featureMeta.description;
const tags = featureMeta.tags;
// Create feature ID (lowercase slug)
const featureId = title.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 50);
```
#### Step 4.3: Update project.json
## Pre-defined Commands
```bash
# Read current project state
bash(cat .workflow/project.json)
# Phase 1: Find active session
SESSION_PATH=$(find .workflow/active/ -maxdepth 1 -name "WFS-*" -type d | head -1)
SESSION_ID=$(basename "$SESSION_PATH")
# Phase 3: Move to archive
mkdir -p .workflow/archives/
mv .workflow/active/$SESSION_ID .workflow/archives/$SESSION_ID
# Cleanup marker
rm -f .workflow/archives/$SESSION_ID/.archiving
```
**JSON Update Logic**:
```javascript
// Read existing project.json (created by /workflow:init)
// Note: overview field is managed by /workflow:init, not modified here
const projectMeta = JSON.parse(Read('.workflow/project.json'));
const currentTimestamp = new Date().toISOString();
const currentDate = currentTimestamp.split('T')[0]; // YYYY-MM-DD
## Key Files to Read
// Extract tags from IMPL_PLAN.md (simple keyword extraction)
const tags = extractTags(planContent); // e.g., ["auth", "security"]
**For manifest.json generation**, read ONLY these files:
// Build feature object with complete metadata
const newFeature = {
id: featureId,
title: title,
description: description,
status: "completed",
tags: tags,
timeline: {
created_at: currentTimestamp,
implemented_at: currentDate,
updated_at: currentTimestamp
},
traceability: {
session_id: sessionId,
archive_path: archivePath, // e.g., ".workflow/archives/WFS-auth-system"
commit_hash: getLatestCommitHash() || "" // Optional: git rev-parse HEAD
},
docs: [], // Placeholder for future doc links
relations: [] // Placeholder for feature dependencies
};
| File | Extract |
|------|---------|
| `$SESSION_PATH/workflow-session.json` | session_id, description, started_at, status |
| `$SESSION_PATH/IMPL_PLAN.md` | title (first # heading), description (first paragraph) |
| `$SESSION_PATH/.tasks/*.json` | count files |
| `$SESSION_PATH/.summaries/*.md` | count files |
| `$SESSION_PATH/.review/dimensions/*.json` | count + findings summary (optional) |
// Add new feature to array
projectMeta.features.push(newFeature);
## Execution Flow
// Update statistics
projectMeta.statistics.total_features = projectMeta.features.length;
projectMeta.statistics.total_sessions += 1;
projectMeta.statistics.last_updated = currentTimestamp;
### Phase 1: Find Session (2 commands)
// Write back
Write('.workflow/project.json', JSON.stringify(projectMeta, null, 2));
```bash
# 1. Find and extract session
SESSION_PATH=$(find .workflow/active/ -maxdepth 1 -name "WFS-*" -type d | head -1)
SESSION_ID=$(basename "$SESSION_PATH")
# 2. Check/create archiving marker
test -f "$SESSION_PATH/.archiving" && echo "RESUMING" || touch "$SESSION_PATH/.archiving"
```
**Helper Functions**:
```javascript
// Extract tags from IMPL_PLAN.md content
function extractTags(planContent) {
const tags = [];
**Output**: `SESSION_ID` = e.g., `WFS-auth-feature`
// Look for common keywords
const keywords = {
'auth': /authentication|login|oauth|jwt/i,
'security': /security|encrypt|hash|token/i,
'api': /api|endpoint|rest|graphql/i,
'ui': /component|page|interface|frontend/i,
'database': /database|schema|migration|sql/i,
'test': /test|testing|spec|coverage/i
};
### Phase 2: Generate Manifest Entry (Read-only)
for (const [tag, pattern] of Object.entries(keywords)) {
if (pattern.test(planContent)) {
tags.push(tag);
Read the key files above, then build this structure:
```json
{
"session_id": "<from workflow-session.json>",
"description": "<from workflow-session.json>",
"archived_at": "<current ISO timestamp>",
"archive_path": ".workflow/archives/<SESSION_ID>",
"metrics": {
"duration_hours": "<(completed_at - started_at) / 3600000>",
"tasks_completed": "<count .tasks/*.json>",
"summaries_generated": "<count .summaries/*.md>",
"review_metrics": {
"dimensions_analyzed": "<count .review/dimensions/*.json>",
"total_findings": "<sum from dimension JSONs>"
}
}
return tags.slice(0, 5); // Max 5 tags
}
// Get latest git commit hash (optional)
function getLatestCommitHash() {
try {
const result = Bash({
command: "git rev-parse --short HEAD 2>/dev/null",
description: "Get latest commit hash"
});
return result.trim();
} catch {
return "";
},
"tags": ["<3-5 keywords from IMPL_PLAN.md>"],
"lessons": {
"successes": ["<key wins>"],
"challenges": ["<difficulties>"],
"watch_patterns": ["<patterns to monitor>"]
}
}
```
#### Step 4.4: Output Confirmation
**Lessons Generation**: Use gemini with `~/.claude/workflows/cli-templates/prompts/archive/analysis-simple.txt`
```
✓ Feature "${title}" added to project registry
ID: ${featureId}
Session: ${sessionId}
Location: .workflow/project.json
### Phase 3: Atomic Commit (4 commands)
```bash
# 1. Create archive directory
mkdir -p .workflow/archives/
# 2. Move session
mv .workflow/active/$SESSION_ID .workflow/archives/$SESSION_ID
# 3. Update manifest.json (Read → Append → Write)
# Read: .workflow/archives/manifest.json (or [])
# Append: archive_entry from Phase 2
# Write: updated JSON
# 4. Remove marker
rm -f .workflow/archives/$SESSION_ID/.archiving
```
**Error Handling**:
- If project.json malformed: Output error, skip update
- If feature_metadata missing from agent result: Skip Phase 4
- If extraction fails: Use minimal defaults
**Output**:
```
✓ Session "$SESSION_ID" archived successfully
Location: .workflow/archives/$SESSION_ID/
Manifest: Updated with N total sessions
```
**Phase 4 Total Commands**: 1 bash read + JSON manipulation
### Phase 4: Update project.json (Optional)
**Skip if**: `.workflow/project.json` doesn't exist
```bash
# Check
test -f .workflow/project.json || echo "SKIP"
```
**If exists**, add feature entry:
```json
{
"id": "<slugified title>",
"title": "<from IMPL_PLAN.md>",
"status": "completed",
"tags": ["<from Phase 2>"],
"timeline": { "implemented_at": "<date>" },
"traceability": { "session_id": "<SESSION_ID>", "archive_path": "<path>" }
}
```
**Output**:
```
✓ Feature added to project registry
```
## Error Recovery
### If Agent Fails (Phase 2)
| Phase | Symptom | Recovery |
|-------|---------|----------|
| 1 | No active session | `No active session found` |
| 2 | Analysis fails | Remove marker: `rm $SESSION_PATH/.archiving`, retry |
| 3 | Move fails | Session safe in active/, fix issue, retry |
| 3 | Manifest fails | Session in archives/, manually add entry, remove marker |
**Symptoms**:
- Agent returns `{"status": "error", ...}`
- Agent crashes or times out
- Analysis incomplete
## Quick Reference
**Recovery Steps**:
```bash
# Session still in .workflow/active/WFS-session-name
# Remove archiving marker
bash(rm .workflow/active/WFS-session-name/.archiving)
```
**User Notification**:
Phase 1: find session → create .archiving marker
Phase 2: read key files → build manifest entry (no writes)
Phase 3: mkdir → mv → update manifest.json → rm marker
Phase 4: update project.json features array (optional)
```
ERROR: Session archival failed during analysis phase
Reason: [error message from agent]
Session remains active in: .workflow/active/WFS-session-name
Recovery:
1. Fix any issues identified in error message
2. Retry: /workflow:session:complete
Session state: SAFE (no changes committed)
```
### If Move Fails (Phase 3)
**Symptoms**:
- `mv` command fails
- Permission denied
- Disk full
**Recovery Steps**:
```bash
# Archiving marker still present
# Session still in .workflow/active/ (move failed)
# No manifest updated yet
```
**User Notification**:
```
ERROR: Session archival failed during move operation
Reason: [mv error message]
Session remains in: .workflow/active/WFS-session-name
Recovery:
1. Fix filesystem issues (permissions, disk space)
2. Retry: /workflow:session:complete
- System will detect .archiving marker
- Will resume from Phase 2 (agent analysis)
Session state: SAFE (analysis complete, ready to retry move)
```
### If Manifest Update Fails (Phase 3)
**Symptoms**:
- JSON parsing error
- Write permission denied
- Session moved but manifest not updated
**Recovery Steps**:
```bash
# Session moved to .workflow/archives/WFS-session-name
# Manifest NOT updated
# Archiving marker still present in archived location
```
**User Notification**:
```
ERROR: Session archived but manifest update failed
Reason: [error message]
Session location: .workflow/archives/WFS-session-name
Recovery:
1. Fix manifest.json issues (syntax, permissions)
2. Manual manifest update:
- Add archive entry from agent output
- Remove .archiving marker: rm .workflow/archives/WFS-session-name/.archiving
Session state: PARTIALLY COMPLETE (session archived, manifest needs update)
```
## Workflow Execution Strategy
### Transactional Four-Phase Approach
**Phase 1: Pre-Archival Preparation** (Marker creation)
- Find active session and extract name
- Check for existing `.archiving` marker (resume detection)
- Create `.archiving` marker if new
- **No data processing** - just state tracking
- **Total**: 2-3 bash commands (find + marker check/create)
**Phase 2: Agent Analysis** (Read-only data processing)
- Extract all session data from active location
- Count tasks and summaries
- Generate lessons learned analysis
- Extract feature metadata from IMPL_PLAN.md
- Build complete archive + feature metadata package
- **No file modifications** - pure analysis
- **Total**: 1 agent invocation
**Phase 3: Atomic Commit** (Transactional file operations)
- Create archive directory
- Move session to archive location
- Update manifest.json with archive entry
- Remove `.archiving` marker
- **All-or-nothing**: Either all succeed or session remains in safe state
- **Total**: 4 bash commands + JSON manipulation
**Phase 4: Project Registry Update** (Optional feature tracking)
- Check project.json exists
- Use feature metadata from Phase 2 agent result
- Build feature object with complete traceability
- Update project statistics
- **Independent**: Can fail without affecting archival
- **Total**: 1 bash read + JSON manipulation
### Transactional Guarantees
**State Consistency**:
- Session NEVER in inconsistent state
- `.archiving` marker enables safe resume
- Agent failure leaves session in recoverable state
- Move/manifest operations grouped in Phase 3
**Failure Isolation**:
- Phase 1 failure: No changes made
- Phase 2 failure: Session still active, can retry
- Phase 3 failure: Clear error state, manual recovery documented
- Phase 4 failure: Does not affect archival success
**Resume Capability**:
- Detect interrupted archival via `.archiving` marker
- Resume from Phase 2 (skip marker creation)
- Idempotent operations (safe to retry)
### Benefits Over Previous Design
**Old Design Weakness**:
- Move first → agent second
- Agent failure → session moved but metadata incomplete
- Inconsistent state requires manual cleanup
**New Design Strengths**:
- Agent first → move second
- Agent failure → session still active, safe to retry
- Transactional commit → all-or-nothing file operations
- Marker-based state → resume capability

View File

@@ -1,11 +1,13 @@
---
name: start
description: Discover existing sessions or start new workflow session with intelligent session management and conflict detection
argument-hint: [--auto|--new] [optional: task description for new session]
argument-hint: [--type <workflow|review|tdd|test|docs>] [--auto|--new] [optional: task description for new session]
examples:
- /workflow:session:start
- /workflow:session:start --auto "implement OAuth2 authentication"
- /workflow:session:start --new "fix login bug"
- /workflow:session:start --type review "Code review for auth module"
- /workflow:session:start --type tdd --auto "implement user authentication"
- /workflow:session:start --type test --new "test payment flow"
---
# Start Workflow Session (/workflow:session:start)
@@ -17,6 +19,23 @@ Manages workflow sessions with three operation modes: discovery (manual), auto (
1. **Project-level initialization** (first-time only): Creates `.workflow/project.json` for feature registry
2. **Session-level initialization** (always): Creates session directory structure
## Session Types
The `--type` parameter classifies sessions for CCW dashboard organization:
| Type | Description | Default For |
|------|-------------|-------------|
| `workflow` | Standard implementation (default) | `/workflow:plan` |
| `review` | Code review sessions | `/workflow:review-module-cycle` |
| `tdd` | TDD-based development | `/workflow:tdd-plan` |
| `test` | Test generation/fix sessions | `/workflow:test-fix-gen` |
| `docs` | Documentation sessions | `/memory:docs` |
**Validation**: If `--type` is provided with invalid value, return error:
```
ERROR: Invalid session type. Valid types: workflow, review, tdd, test, docs
```
## Step 0: Initialize Project State (First-time Only)
**Executed before all modes** - Ensures project-level state file exists by calling `/workflow:init`.
@@ -86,8 +105,8 @@ bash(mkdir -p .workflow/active/WFS-implement-oauth2-auth/.process)
bash(mkdir -p .workflow/active/WFS-implement-oauth2-auth/.task)
bash(mkdir -p .workflow/active/WFS-implement-oauth2-auth/.summaries)
# Create metadata
bash(echo '{"session_id":"WFS-implement-oauth2-auth","project":"implement OAuth2 auth","status":"planning"}' > .workflow/active/WFS-implement-oauth2-auth/workflow-session.json)
# Create metadata (include type field, default to "workflow" if not specified)
bash(echo '{"session_id":"WFS-implement-oauth2-auth","project":"implement OAuth2 auth","status":"planning","type":"workflow","created_at":"2024-12-04T08:00:00Z"}' > .workflow/active/WFS-implement-oauth2-auth/workflow-session.json)
```
**Output**: `SESSION_ID: WFS-implement-oauth2-auth`
@@ -143,11 +162,16 @@ bash(mkdir -p .workflow/active/WFS-fix-login-bug/.summaries)
### Step 3: Create Metadata
```bash
bash(echo '{"session_id":"WFS-fix-login-bug","project":"fix login bug","status":"planning"}' > .workflow/active/WFS-fix-login-bug/workflow-session.json)
# Include type field from --type parameter (default: "workflow")
bash(echo '{"session_id":"WFS-fix-login-bug","project":"fix login bug","status":"planning","type":"workflow","created_at":"2024-12-04T08:00:00Z"}' > .workflow/active/WFS-fix-login-bug/workflow-session.json)
```
**Output**: `SESSION_ID: WFS-fix-login-bug`
## Execution Guideline
- **Non-interrupting**: When called from other commands, this command completes and returns control to the caller without interrupting subsequent tasks.
## Output Format Specification
### Success
@@ -168,25 +192,6 @@ DECISION: Reusing existing session
SESSION_ID: WFS-promptmaster-platform
```
## Command Integration
### For /workflow:plan (Use Auto Mode)
```bash
SlashCommand(command="/workflow:session:start --auto \"implement OAuth2 authentication\"")
# Parse session ID from output
grep "^SESSION_ID:" | awk '{print $2}'
```
### For Interactive Workflows (Use Discovery Mode)
```bash
SlashCommand(command="/workflow:session:start")
```
### For New Isolated Work (Use Force New Mode)
```bash
SlashCommand(command="/workflow:session:start --new \"experimental feature\"")
```
## Session ID Format
- Pattern: `WFS-[lowercase-slug]`

View File

@@ -1,328 +0,0 @@
---
name: workflow:status
description: Generate on-demand views for project overview and workflow tasks with optional task-id filtering for detailed view
argument-hint: "[optional: --project|task-id|--validate|--dashboard]"
---
# Workflow Status Command (/workflow:status)
## Overview
Generates on-demand views from project and session data. Supports multiple modes:
1. **Project Overview** (`--project`): Shows completed features and project statistics
2. **Workflow Tasks** (default): Shows current session task progress
3. **HTML Dashboard** (`--dashboard`): Generates interactive HTML task board with active and archived sessions
No synchronization needed - all views are calculated from current JSON state.
## Usage
```bash
/workflow:status # Show current workflow session overview
/workflow:status --project # Show project-level feature registry
/workflow:status impl-1 # Show specific task details
/workflow:status --validate # Validate workflow integrity
/workflow:status --dashboard # Generate HTML dashboard board
```
## Implementation Flow
### Mode Selection
**Check for --project flag**:
- If `--project` flag present → Execute **Project Overview Mode**
- Otherwise → Execute **Workflow Session Mode** (default)
## Project Overview Mode
### Step 1: Check Project State
```bash
bash(test -f .workflow/project.json && echo "EXISTS" || echo "NOT_FOUND")
```
**If NOT_FOUND**:
```
No project state found.
Run /workflow:session:start to initialize project.
```
### Step 2: Read Project Data
```bash
bash(cat .workflow/project.json)
```
### Step 3: Parse and Display
**Data Processing**:
```javascript
const projectData = JSON.parse(Read('.workflow/project.json'));
const features = projectData.features || [];
const stats = projectData.statistics || {};
const overview = projectData.overview || null;
// Sort features by implementation date (newest first)
const sortedFeatures = features.sort((a, b) =>
new Date(b.implemented_at) - new Date(a.implemented_at)
);
```
**Output Format** (with extended overview):
```
## Project: ${projectData.project_name}
Initialized: ${projectData.initialized_at}
${overview ? `
### Overview
${overview.description}
**Technology Stack**:
${overview.technology_stack.languages.map(l => `- ${l.name}${l.primary ? ' (primary)' : ''}: ${l.file_count} files`).join('\n')}
Frameworks: ${overview.technology_stack.frameworks.join(', ')}
**Architecture**:
Style: ${overview.architecture.style}
Patterns: ${overview.architecture.patterns.join(', ')}
**Key Components** (${overview.key_components.length}):
${overview.key_components.map(c => `- ${c.name} (${c.path})\n ${c.description}`).join('\n')}
**Metrics**:
- Files: ${overview.metrics.total_files}
- Lines of Code: ${overview.metrics.lines_of_code}
- Complexity: ${overview.metrics.complexity}
---
` : ''}
### Completed Features (${stats.total_features})
${sortedFeatures.map(f => `
- ${f.title} (${f.timeline?.implemented_at || f.implemented_at})
${f.description}
Tags: ${f.tags?.join(', ') || 'none'}
Session: ${f.traceability?.session_id || f.session_id}
Archive: ${f.traceability?.archive_path || 'unknown'}
${f.traceability?.commit_hash ? `Commit: ${f.traceability.commit_hash}` : ''}
`).join('\n')}
### Project Statistics
- Total Features: ${stats.total_features}
- Total Sessions: ${stats.total_sessions}
- Last Updated: ${stats.last_updated}
### Quick Access
- View session details: /workflow:status
- Archive query: jq '.archives[] | select(.session_id == "SESSION_ID")' .workflow/archives/manifest.json
- Documentation: .workflow/docs/${projectData.project_name}/
### Query Commands
# Find by tag
cat .workflow/project.json | jq '.features[] | select(.tags[] == "auth")'
# View archive
cat ${feature.traceability.archive_path}/IMPL_PLAN.md
# List all tags
cat .workflow/project.json | jq -r '.features[].tags[]' | sort -u
```
**Empty State**:
```
## Project: ${projectData.project_name}
Initialized: ${projectData.initialized_at}
No features completed yet.
Complete your first workflow session to add features:
1. /workflow:plan "feature description"
2. /workflow:execute
3. /workflow:session:complete
```
### Step 4: Show Recent Sessions (Optional)
```bash
# List 5 most recent archived sessions
bash(ls -1t .workflow/archives/WFS-* 2>/dev/null | head -5 | xargs -I {} basename {})
```
**Output**:
```
### Recent Sessions
- WFS-auth-system (archived)
- WFS-payment-flow (archived)
- WFS-user-dashboard (archived)
Use /workflow:session:complete to archive current session.
```
## Workflow Session Mode (Default)
### Step 1: Find Active Session
```bash
find .workflow/active/ -name "WFS-*" -type d 2>/dev/null | head -1
```
### Step 2: Load Session Data
```bash
cat .workflow/active/WFS-session/workflow-session.json
```
### Step 3: Scan Task Files
```bash
find .workflow/active/WFS-session/.task/ -name "*.json" -type f 2>/dev/null
```
### Step 4: Generate Task Status
```bash
cat .workflow/active/WFS-session/.task/impl-1.json | jq -r '.status'
```
### Step 5: Count Task Progress
```bash
find .workflow/active/WFS-session/.task/ -name "*.json" -type f | wc -l
find .workflow/active/WFS-session/.summaries/ -name "*.md" -type f 2>/dev/null | wc -l
```
### Step 6: Display Overview
```markdown
# Workflow Overview
**Session**: WFS-session-name
**Progress**: 3/8 tasks completed
## Active Tasks
- [IN PROGRESS] impl-1: Current task in progress
- [ ] impl-2: Next pending task
## Completed Tasks
- [COMPLETED] impl-0: Setup completed
```
## Dashboard Mode (HTML Board)
### Step 1: Check for --dashboard flag
```bash
# If --dashboard flag present → Execute Dashboard Mode
```
### Step 2: Collect Workflow Data
**Collect Active Sessions**:
```bash
# Find all active sessions
find .workflow/active/ -name "WFS-*" -type d 2>/dev/null
# For each active session, read metadata and tasks
for session in $(find .workflow/active/ -name "WFS-*" -type d 2>/dev/null); do
cat "$session/workflow-session.json"
find "$session/.task/" -name "*.json" -type f 2>/dev/null
done
```
**Collect Archived Sessions**:
```bash
# Find all archived sessions
find .workflow/archives/ -name "WFS-*" -type d 2>/dev/null
# Read manifest if exists
cat .workflow/archives/manifest.json 2>/dev/null
# For each archived session, read metadata
for archive in $(find .workflow/archives/ -name "WFS-*" -type d 2>/dev/null); do
cat "$archive/workflow-session.json" 2>/dev/null
# Count completed tasks
find "$archive/.task/" -name "*.json" -type f 2>/dev/null | wc -l
done
```
### Step 3: Process and Structure Data
**Build data structure for dashboard**:
```javascript
const dashboardData = {
activeSessions: [],
archivedSessions: [],
generatedAt: new Date().toISOString()
};
// Process active sessions
for each active_session in active_sessions:
const sessionData = JSON.parse(Read(active_session/workflow-session.json));
const tasks = [];
// Load all tasks for this session
for each task_file in find(active_session/.task/*.json):
const taskData = JSON.parse(Read(task_file));
tasks.push({
task_id: taskData.task_id,
title: taskData.title,
status: taskData.status,
type: taskData.type
});
dashboardData.activeSessions.push({
session_id: sessionData.session_id,
project: sessionData.project,
status: sessionData.status,
created_at: sessionData.created_at || sessionData.initialized_at,
tasks: tasks
});
// Process archived sessions
for each archived_session in archived_sessions:
const sessionData = JSON.parse(Read(archived_session/workflow-session.json));
const taskCount = bash(find archived_session/.task/*.json | wc -l);
dashboardData.archivedSessions.push({
session_id: sessionData.session_id,
project: sessionData.project,
archived_at: sessionData.completed_at || sessionData.archived_at,
taskCount: parseInt(taskCount),
archive_path: archived_session
});
```
### Step 4: Generate HTML from Template
**Load template and inject data**:
```javascript
// Read the HTML template
const template = Read("~/.claude/templates/workflow-dashboard.html");
// Prepare data for injection
const dataJson = JSON.stringify(dashboardData, null, 2);
// Replace placeholder with actual data
const htmlContent = template.replace('{{WORKFLOW_DATA}}', dataJson);
// Ensure .workflow directory exists
bash(mkdir -p .workflow);
```
### Step 5: Write HTML File
```bash
# Write the generated HTML to .workflow/dashboard.html
Write({
file_path: ".workflow/dashboard.html",
content: htmlContent
})
```
### Step 6: Display Success Message
```markdown
Dashboard generated successfully!
Location: .workflow/dashboard.html
Open in browser:
file://$(pwd)/.workflow/dashboard.html
Features:
- 📊 Active sessions overview
- 📦 Archived sessions history
- 🔍 Search and filter
- 📈 Progress tracking
- 🎨 Dark/light theme
Refresh data: Re-run /workflow:status --dashboard
```

View File

@@ -1,7 +1,7 @@
---
name: tdd-plan
description: TDD workflow planning with Red-Green-Refactor task chain generation, test-first development structure, and cycle tracking
argument-hint: "[--cli-execute] \"feature description\"|file.md"
argument-hint: "\"feature description\"|file.md"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
@@ -9,40 +9,43 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
## Coordinator Role
**This command is a pure orchestrator**: Execute 6 slash commands in sequence, parse outputs, pass context, and ensure complete TDD workflow creation with Red-Green-Refactor task generation.
**This command is a pure orchestrator**: Dispatches 6 slash commands in sequence, parse outputs, pass context, and ensure complete TDD workflow creation with Red-Green-Refactor task generation.
**Execution Modes**:
- **Agent Mode** (default): Use `/workflow:tools:task-generate-tdd` (autonomous agent-driven)
- **CLI Mode** (`--cli-execute`): Use `/workflow:tools:task-generate-tdd --cli-execute` (Gemini/Qwen)
**CLI Tool Selection**: CLI tool usage is determined semantically from user's task description. Include "use Codex/Gemini/Qwen" in your request for CLI execution.
**Task Attachment Model**:
- SlashCommand invocation **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is invoked (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- When dispatching a sub-command (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- Orchestrator **executes these attached tasks** sequentially
- After completion, attached tasks are **collapsed** back to high-level phase summary
- This is **task expansion**, not external delegation
**Auto-Continue Mechanism**:
- TodoList tracks current phase status and dynamically manages task attachment/collapse
- When each phase finishes executing, automatically execute next pending phase
- When each phase finishes executing, automatically dispatch next pending phase
- All phases run autonomously without user interaction
- **⚠️ CONTINUOUS EXECUTION** - Do not stop until all phases complete
## Core Rules
1. **Start Immediately**: First action is TodoWrite initialization, second action is Phase 1 execution
1. **Start Immediately**: First action is TodoWrite initialization, second action is dispatch Phase 1
2. **No Preliminary Analysis**: Do not read files before Phase 1
3. **Parse Every Output**: Extract required data for next phase
4. **Auto-Continue via TodoList**: Check TodoList status to execute next pending phase automatically
4. **Auto-Continue via TodoList**: Check TodoList status to dispatch next pending phase automatically
5. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
6. **TDD Context**: All descriptions include "TDD:" prefix
7. **Task Attachment Model**: SlashCommand invocation **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
8. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and execute next phase
7. **Task Attachment Model**: SlashCommand dispatch **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
8. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and dispatch next phase
## 6-Phase Execution (with Conflict Resolution)
### Phase 1: Session Discovery
**Command**: `/workflow:session:start --auto "TDD: [structured-description]"`
**Step 1.1: Dispatch** - Session discovery and initialization
```javascript
SlashCommand(command="/workflow:session:start --type tdd --auto \"TDD: [structured-description]\"")
```
**TDD Structured Format**:
```
@@ -62,7 +65,12 @@ TEST_FOCUS: [Test scenarios]
---
### Phase 2: Context Gathering
**Command**: `/workflow:tools:context-gather --session [sessionId] "TDD: [structured-description]"`
**Step 2.1: Dispatch** - Context gathering and analysis
```javascript
SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"TDD: [structured-description]\"")
```
**Use Same Structured Description**: Pass the same structured format from Phase 1
@@ -83,7 +91,12 @@ TEST_FOCUS: [Test scenarios]
---
### Phase 3: Test Coverage Analysis
**Command**: `/workflow:tools:test-context-gather --session [sessionId]`
**Step 3.1: Dispatch** - Test coverage analysis and framework detection
```javascript
SlashCommand(command="/workflow:tools:test-context-gather --session [sessionId]")
```
**Purpose**: Analyze existing codebase for:
- Existing test patterns and conventions
@@ -93,28 +106,25 @@ TEST_FOCUS: [Test scenarios]
**Parse**: Extract testContextPath (`.workflow/active/[sessionId]/.process/test-context-package.json`)
**Benefits**:
- Makes TDD aware of existing environment
- Identifies reusable test patterns
- Prevents duplicate test creation
- Enables integration with existing tests
<!-- TodoWrite: When test-context-gather invoked, INSERT 3 test-context-gather tasks -->
**TodoWrite Update (Phase 3 SlashCommand invoked - tasks attached)**:
<!-- TodoWrite: When test-context-gather dispatched, INSERT 3 test-context-gather tasks -->
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3.1: Detect test framework and conventions (test-context-gather)", "status": "in_progress", "activeForm": "Detecting test framework"},
{"content": "Phase 3.2: Analyze existing test coverage (test-context-gather)", "status": "pending", "activeForm": "Analyzing test coverage"},
{"content": "Phase 3.3: Identify coverage gaps (test-context-gather)", "status": "pending", "activeForm": "Identifying coverage gaps"},
{"content": "Execute TDD task generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Validate TDD structure", "status": "pending", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "in_progress", "activeForm": "Executing test coverage analysis"},
{"content": " → Detect test framework and conventions", "status": "in_progress", "activeForm": "Detecting test framework"},
{"content": " → Analyze existing test coverage", "status": "pending", "activeForm": "Analyzing test coverage"},
{"content": " → Identify coverage gaps", "status": "pending", "activeForm": "Identifying coverage gaps"},
{"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"}
]
```
**Note**: SlashCommand invocation **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand dispatch **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 3.1-3.3** sequentially
@@ -123,11 +133,11 @@ TEST_FOCUS: [Test scenarios]
**TodoWrite Update (Phase 3 completed - tasks collapsed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute test coverage analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Execute TDD task generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Validate TDD structure", "status": "pending", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"}
]
```
@@ -141,7 +151,11 @@ TEST_FOCUS: [Test scenarios]
**Trigger**: Only execute when context-package.json indicates conflict_risk is "medium" or "high"
**Command**: `SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")`
**Step 4.1: Dispatch** - Conflict detection and resolution
```javascript
SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")
```
**Input**:
- sessionId from Phase 1
@@ -150,32 +164,33 @@ TEST_FOCUS: [Test scenarios]
**Parse Output**:
- Extract: Execution status (success/skipped/failed)
- Verify: CONFLICT_RESOLUTION.md file path (if executed)
- Verify: conflict-resolution.json file path (if executed)
**Validation**:
- File `.workflow/active/[sessionId]/.process/CONFLICT_RESOLUTION.md` exists (if executed)
- File `.workflow/active/[sessionId]/.process/conflict-resolution.json` exists (if executed)
**Skip Behavior**:
- If conflict_risk is "none" or "low", skip directly to Phase 5
- Display: "No significant conflicts detected, proceeding to TDD task generation"
<!-- TodoWrite: If conflict_risk ≥ medium, INSERT 3 conflict-resolution tasks -->
<!-- TodoWrite: If conflict_risk ≥ medium, INSERT 3 conflict-resolution tasks when dispatched -->
**TodoWrite Update (Phase 4 SlashCommand invoked - tasks attached, if conflict_risk ≥ medium)**:
**TodoWrite Update (Phase 4 SlashCommand dispatched - tasks attached, if conflict_risk ≥ medium)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute test coverage analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 4.1: Detect conflicts with CLI analysis (conflict-resolution)", "status": "in_progress", "activeForm": "Detecting conflicts"},
{"content": "Phase 4.2: Present conflicts to user (conflict-resolution)", "status": "pending", "activeForm": "Presenting conflicts"},
{"content": "Phase 4.3: Apply resolution strategies (conflict-resolution)", "status": "pending", "activeForm": "Applying resolution strategies"},
{"content": "Execute TDD task generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Validate TDD structure", "status": "pending", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 4: Conflict Resolution", "status": "in_progress", "activeForm": "Executing conflict resolution"},
{"content": " → Detect conflicts with CLI analysis", "status": "in_progress", "activeForm": "Detecting conflicts"},
{"content": " → Present conflicts to user", "status": "pending", "activeForm": "Presenting conflicts"},
{"content": " → Apply resolution strategies", "status": "pending", "activeForm": "Applying resolution strategies"},
{"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"}
]
```
**Note**: SlashCommand invocation **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand dispatch **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 4.1-4.3** sequentially
@@ -184,12 +199,12 @@ TEST_FOCUS: [Test scenarios]
**TodoWrite Update (Phase 4 completed - tasks collapsed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute test coverage analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Execute conflict resolution", "status": "completed", "activeForm": "Executing conflict resolution"},
{"content": "Execute TDD task generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Validate TDD structure", "status": "pending", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 4: Conflict Resolution", "status": "completed", "activeForm": "Executing conflict resolution"},
{"content": "Phase 5: TDD Task Generation", "status": "pending", "activeForm": "Executing TDD task generation"},
{"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"}
]
```
@@ -200,7 +215,13 @@ TEST_FOCUS: [Test scenarios]
**Memory State Check**:
- Evaluate current context window usage and memory state
- If memory usage is high (>110K tokens or approaching context limits):
- **Command**: `SlashCommand(command="/compact")`
**Step 4.5: Dispatch** - Memory compaction
```javascript
SlashCommand(command="/compact")
```
- This optimizes memory before proceeding to Phase 5
- Memory compaction is particularly important after analysis phase which may generate extensive documentation
- Ensures optimal performance and prevents context overflow
@@ -208,9 +229,14 @@ TEST_FOCUS: [Test scenarios]
---
### Phase 5: TDD Task Generation
**Command**:
- Agent Mode (default): `/workflow:tools:task-generate-tdd --session [sessionId]`
- CLI Mode (`--cli-execute`): `/workflow:tools:task-generate-tdd --session [sessionId] --cli-execute`
**Step 5.1: Dispatch** - TDD task generation via action-planning-agent
```javascript
SlashCommand(command="/workflow:tools:task-generate-tdd --session [sessionId]")
```
**Note**: CLI tool usage is determined semantically from user's task description.
**Parse**: Extract feature count, task count (not chain count - tasks now contain internal TDD cycles)
@@ -225,22 +251,23 @@ TEST_FOCUS: [Test scenarios]
- IMPL_PLAN.md contains workflow_type: "tdd" in frontmatter
- Task count ≤10 (compliance with task limit)
<!-- TodoWrite: When task-generate-tdd invoked, INSERT 3 task-generate-tdd tasks -->
<!-- TodoWrite: When task-generate-tdd dispatched, INSERT 3 task-generate-tdd tasks -->
**TodoWrite Update (Phase 5 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 5 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute test coverage analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 5.1: Discovery - analyze TDD requirements (task-generate-tdd)", "status": "in_progress", "activeForm": "Analyzing TDD requirements"},
{"content": "Phase 5.2: Planning - design Red-Green-Refactor cycles (task-generate-tdd)", "status": "pending", "activeForm": "Designing TDD cycles"},
{"content": "Phase 5.3: Output - generate IMPL tasks with internal TDD phases (task-generate-tdd)", "status": "pending", "activeForm": "Generating TDD tasks"},
{"content": "Validate TDD structure", "status": "pending", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 5: TDD Task Generation", "status": "in_progress", "activeForm": "Executing TDD task generation"},
{"content": " → Discovery - analyze TDD requirements", "status": "in_progress", "activeForm": "Analyzing TDD requirements"},
{"content": " → Planning - design Red-Green-Refactor cycles", "status": "pending", "activeForm": "Designing TDD cycles"},
{"content": " → Output - generate IMPL tasks with internal TDD phases", "status": "pending", "activeForm": "Generating TDD tasks"},
{"content": "Phase 6: TDD Structure Validation", "status": "pending", "activeForm": "Validating TDD structure"}
]
```
**Note**: SlashCommand invocation **attaches** task-generate-tdd's 3 tasks. Orchestrator **executes** these tasks. Each generated IMPL task will contain internal Red-Green-Refactor cycle.
**Note**: SlashCommand dispatch **attaches** task-generate-tdd's 3 tasks. Orchestrator **executes** these tasks. Each generated IMPL task will contain internal Red-Green-Refactor cycle.
**Next Action**: Tasks attached → **Execute Phase 5.1-5.3** sequentially
@@ -249,11 +276,11 @@ TEST_FOCUS: [Test scenarios]
**TodoWrite Update (Phase 5 completed - tasks collapsed)**:
```json
[
{"content": "Execute session discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Execute context gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Execute test coverage analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Execute TDD task generation", "status": "completed", "activeForm": "Executing TDD task generation"},
{"content": "Validate TDD structure", "status": "in_progress", "activeForm": "Validating TDD structure"}
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
{"content": "Phase 2: Context Gathering", "status": "completed", "activeForm": "Executing context gathering"},
{"content": "Phase 3: Test Coverage Analysis", "status": "completed", "activeForm": "Executing test coverage analysis"},
{"content": "Phase 5: TDD Task Generation", "status": "completed", "activeForm": "Executing TDD task generation"},
{"content": "Phase 6: TDD Structure Validation", "status": "in_progress", "activeForm": "Validating TDD structure"}
]
```
@@ -320,7 +347,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to validate TDD task
### Key Principles
1. **Task Attachment** (when SlashCommand invoked):
1. **Task Attachment** (when SlashCommand dispatched):
- Sub-command's internal tasks are **attached** to orchestrator's TodoWrite
- Example: `/workflow:tools:test-context-gather` attaches 3 sub-tasks (Phase 3.1, 3.2, 3.3)
- First attached task marked as `in_progress`, others as `pending`
@@ -337,7 +364,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to validate TDD task
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**Lifecycle Summary**: Initial pending tasks → Phase invoked (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins (conditional Phase 4 if conflict_risk ≥ medium) → Repeat until all phases complete.
**Lifecycle Summary**: Initial pending tasks → Phase dispatched (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins (conditional Phase 4 if conflict_risk ≥ medium) → Repeat until all phases complete.
### TDD-Specific Features
@@ -345,12 +372,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to validate TDD task
- **Phase 5**: Generated IMPL tasks contain internal Red-Green-Refactor cycles
- **Conditional Phase 4**: Conflict resolution only if conflict_risk ≥ medium
### Benefits
- ✓ Real-time visibility into TDD workflow execution
- ✓ Clear mental model: SlashCommand = attach → execute → collapse
- ✓ Test-aware planning with coverage analysis
- ✓ Self-contained TDD cycles within each IMPL task
**Note**: See individual Phase descriptions (Phase 3, 4, 5) for detailed TodoWrite Update examples with full JSON structures.
@@ -380,7 +402,7 @@ TDD Workflow Orchestrator
│ ├─ Phase 4.1: Detect conflicts with CLI
│ ├─ Phase 4.2: Present conflicts to user
│ └─ Phase 4.3: Apply resolution strategies
│ └─ Returns: CONFLICT_RESOLUTION.md ← COLLAPSED
│ └─ Returns: conflict-resolution.json ← COLLAPSED
│ ELSE:
│ └─ Skip to Phase 5
@@ -428,8 +450,7 @@ Convert user input to TDD-structured format:
- `/workflow:tools:test-context-gather` - Phase 3: Analyze existing test patterns and coverage
- `/workflow:tools:conflict-resolution` - Phase 4: Detect and resolve conflicts (auto-triggered if conflict_risk ≥ medium)
- `/compact` - Phase 4: Memory optimization (if context approaching limits)
- `/workflow:tools:task-generate-tdd` - Phase 5: Generate TDD tasks with agent-driven approach (default, autonomous)
- `/workflow:tools:task-generate-tdd --cli-execute` - Phase 5: Generate TDD tasks with CLI tools (Gemini/Qwen, when `--cli-execute` flag used)
- `/workflow:tools:task-generate-tdd` - Phase 5: Generate TDD tasks (CLI tool usage determined semantically)
**Follow-up Commands**:
- `/workflow:action-plan-verify` - Recommended: Verify TDD plan quality and structure before execution

View File

@@ -18,6 +18,39 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(gemini:*)
- Validate TDD cycle execution
- Generate compliance report
## Execution Process
```
Input Parsing:
└─ Decision (session argument):
├─ session-id provided → Use provided session
└─ No session-id → Auto-detect active session
Phase 1: Session Discovery
├─ Validate session directory exists
└─ TodoWrite: Mark phase 1 completed
Phase 2: Task Chain Validation
├─ Load all task JSONs from .task/
├─ Extract task IDs and group by feature
├─ Validate TDD structure:
│ ├─ TEST-N.M → IMPL-N.M → REFACTOR-N.M chain
│ ├─ Dependency verification
│ └─ Meta field validation (tdd_phase, agent)
└─ TodoWrite: Mark phase 2 completed
Phase 3: Test Execution Analysis
└─ /workflow:tools:tdd-coverage-analysis
├─ Coverage metrics extraction
├─ TDD cycle verification
└─ Compliance score calculation
Phase 4: Compliance Report Generation
├─ Gemini analysis for comprehensive report
├─ Generate TDD_COMPLIANCE_REPORT.md
└─ Return summary to user
```
## 4-Phase Execution
### Phase 1: Session Discovery
@@ -44,18 +77,32 @@ find .workflow/active/ -name "WFS-*" -type d | head -1 | sed 's/.*\///'
```bash
# Load all task JSONs
find .workflow/active/{sessionId}/.task/ -name '*.json'
for task_file in .workflow/active/{sessionId}/.task/*.json; do
cat "$task_file"
done
# Extract task IDs
find .workflow/active/{sessionId}/.task/ -name '*.json' -exec jq -r '.id' {} \;
for task_file in .workflow/active/{sessionId}/.task/*.json; do
cat "$task_file" | jq -r '.id'
done
# Check dependencies
find .workflow/active/{sessionId}/.task/ -name 'IMPL-*.json' -exec jq -r '.context.depends_on[]?' {} \;
find .workflow/active/{sessionId}/.task/ -name 'REFACTOR-*.json' -exec jq -r '.context.depends_on[]?' {} \;
# Check dependencies - read tasks and filter for IMPL/REFACTOR
for task_file in .workflow/active/{sessionId}/.task/IMPL-*.json; do
cat "$task_file" | jq -r '.context.depends_on[]?'
done
for task_file in .workflow/active/{sessionId}/.task/REFACTOR-*.json; do
cat "$task_file" | jq -r '.context.depends_on[]?'
done
# Check meta fields
find .workflow/active/{sessionId}/.task/ -name '*.json' -exec jq -r '.meta.tdd_phase' {} \;
find .workflow/active/{sessionId}/.task/ -name '*.json' -exec jq -r '.meta.agent' {} \;
for task_file in .workflow/active/{sessionId}/.task/*.json; do
cat "$task_file" | jq -r '.meta.tdd_phase'
done
for task_file in .workflow/active/{sessionId}/.task/*.json; do
cat "$task_file" | jq -r '.meta.agent'
done
```
**Validation**:
@@ -94,7 +141,7 @@ find .workflow/active/{sessionId}/.task/ -name '*.json' -exec jq -r '.meta.agent
**Gemini analysis for comprehensive TDD compliance report**
```bash
cd project-root && gemini -p "
ccw cli -p "
PURPOSE: Generate TDD compliance report
TASK: Analyze TDD workflow execution and generate quality report
CONTEXT: @{.workflow/active/{sessionId}/.task/*.json,.workflow/active/{sessionId}/.summaries/*,.workflow/active/{sessionId}/.process/tdd-cycle-report.md}
@@ -106,7 +153,7 @@ EXPECTED:
- Red-Green-Refactor cycle validation
- Best practices adherence assessment
RULES: Focus on TDD best practices and workflow adherence. Be specific about violations and improvements.
" > .workflow/active/{sessionId}/TDD_COMPLIANCE_REPORT.md
" --tool gemini --mode analysis --cd project-root > .workflow/active/{sessionId}/TDD_COMPLIANCE_REPORT.md
```
**Output**: TDD_COMPLIANCE_REPORT.md

File diff suppressed because it is too large Load Diff

View File

@@ -1,7 +1,7 @@
---
name: test-fix-gen
description: Create test-fix workflow session from session ID, description, or file path with test strategy generation and task planning
argument-hint: "[--use-codex] [--cli-execute] (source-session-id | \"feature description\" | /path/to/file.md)"
argument-hint: "(source-session-id | \"feature description\" | /path/to/file.md)"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
@@ -43,7 +43,7 @@ fi
- **Session Isolation**: Creates independent `WFS-test-[slug]` session
- **Context-First**: Gathers implementation context via appropriate method
- **Format Reuse**: Creates standard `IMPL-*.json` tasks with `meta.type: "test-fix"`
- **Manual First**: Default to manual fixes, use `--use-codex` for automation
- **Semantic CLI Selection**: CLI tool usage determined from user's task description
- **Automatic Detection**: Input pattern determines execution mode
### Coordinator Role
@@ -59,8 +59,8 @@ This command is a **pure planning coordinator**:
- **All execution delegated to `/workflow:test-cycle-execute`**
**Task Attachment Model**:
- SlashCommand invocation **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is invoked (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- When dispatching a sub-command (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- Orchestrator **executes these attached tasks** sequentially
- After completion, attached tasks are **collapsed** back to high-level phase summary
- This is **task expansion**, not external delegation
@@ -79,16 +79,14 @@ This command is a **pure planning coordinator**:
```bash
# Basic syntax
/workflow:test-fix-gen [FLAGS] <INPUT>
# Flags (optional)
--use-codex # Enable Codex automated fixes in IMPL-002
--cli-execute # Enable CLI execution in IMPL-001
/workflow:test-fix-gen <INPUT>
# Input
<INPUT> # Session ID, description, or file path
```
**Note**: CLI tool usage is determined semantically from the task description. To request CLI execution, include it in your description (e.g., "use Codex for automated fixes").
### Usage Examples
#### Session Mode
@@ -96,11 +94,8 @@ This command is a **pure planning coordinator**:
# Test validation for completed implementation
/workflow:test-fix-gen WFS-user-auth-v2
# With automated fixes
/workflow:test-fix-gen --use-codex WFS-api-endpoints
# With CLI execution
/workflow:test-fix-gen --cli-execute --use-codex WFS-payment-flow
# With semantic CLI request
/workflow:test-fix-gen WFS-api-endpoints # Add "use Codex" in description for automated fixes
```
#### Prompt Mode - Text Description
@@ -108,17 +103,14 @@ This command is a **pure planning coordinator**:
# Generate tests from feature description
/workflow:test-fix-gen "Test the user authentication API endpoints in src/auth/api.ts"
# With automated fixes
/workflow:test-fix-gen --use-codex "Test user registration and login flows"
# With CLI execution (semantic)
/workflow:test-fix-gen "Test user registration and login flows, use Codex for automated fixes"
```
#### Prompt Mode - File Reference
```bash
# Generate tests from requirements file
/workflow:test-fix-gen ./docs/api-requirements.md
# With flags
/workflow:test-fix-gen --use-codex --cli-execute ./specs/feature.md
```
### Mode Comparison
@@ -136,32 +128,50 @@ This command is a **pure planning coordinator**:
### Core Execution Rules
1. **Start Immediately**: First action is TodoWrite, second is Phase 1 session creation
1. **Start Immediately**: First action is TodoWrite, second is dispatch Phase 1 session creation
2. **No Preliminary Analysis**: Do not read files before Phase 1
3. **Parse Every Output**: Extract required data from each phase for next phase
4. **Sequential Execution**: Each phase depends on previous phase's output
5. **Complete All Phases**: Do not return until Phase 5 completes
6. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
7. **Automatic Detection**: Mode auto-detected from input pattern
8. **Parse Flags**: Extract `--use-codex` and `--cli-execute` flags for Phase 4
9. **Task Attachment Model**: SlashCommand invocation **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
8. **Semantic CLI Detection**: CLI tool usage determined from user's task description for Phase 4
9. **Task Attachment Model**: SlashCommand dispatch **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
10. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and execute next phase
### 5-Phase Execution
#### Phase 1: Create Test Session
**Command**:
- **Session Mode**: `SlashCommand("/workflow:session:start --new \"Test validation for [sourceSessionId]\"")`
- **Prompt Mode**: `SlashCommand("/workflow:session:start --new \"Test generation for: [description]\"")`
**Step 1.0: Load Source Session Intent (Session Mode Only)** - Preserve user's original task description for semantic CLI selection
```javascript
// Session Mode: Read source session metadata to get original task description
Read(".workflow/active/[sourceSessionId]/workflow-session.json")
// OR if context-package exists:
Read(".workflow/active/[sourceSessionId]/.process/context-package.json")
// Extract: metadata.task_description or project/description field
// This preserves user's CLI tool preferences (e.g., "use Codex for fixes")
```
**Step 1.1: Dispatch** - Create test workflow session with preserved intent
```javascript
// Session Mode - Include original task description to enable semantic CLI selection
SlashCommand(command="/workflow:session:start --type test --new \"Test validation for [sourceSessionId]: [originalTaskDescription]\"")
// Prompt Mode - User's description already contains their intent
SlashCommand(command="/workflow:session:start --type test --new \"Test generation for: [description]\"")
```
**Input**: User argument (session ID, description, or file path)
**Expected Behavior**:
- Creates new session: `WFS-test-[slug]`
- Writes `workflow-session.json` metadata:
- **Session Mode**: Includes `workflow_type: "test_session"`, `source_session_id: "[sourceId]"`
- **Prompt Mode**: Includes `workflow_type: "test_session"` only
- Writes `workflow-session.json` metadata with `type: "test"`
- **Session Mode**: Additionally includes `source_session_id: "[sourceId]"`, description with original user intent
- **Prompt Mode**: Uses user's description (already contains intent)
- Returns new session ID
**Parse Output**:
@@ -177,9 +187,15 @@ This command is a **pure planning coordinator**:
#### Phase 2: Gather Test Context
**Command**:
- **Session Mode**: `SlashCommand("/workflow:tools:test-context-gather --session [testSessionId]")`
- **Prompt Mode**: `SlashCommand("/workflow:tools:context-gather --session [testSessionId] \"[task_description]\"")`
**Step 2.1: Dispatch** - Gather test context via appropriate method
```javascript
// Session Mode
SlashCommand(command="/workflow:tools:test-context-gather --session [testSessionId]")
// Prompt Mode
SlashCommand(command="/workflow:tools:context-gather --session [testSessionId] \"[task_description]\"")
```
**Input**: `testSessionId` from Phase 1
@@ -208,7 +224,11 @@ This command is a **pure planning coordinator**:
#### Phase 3: Test Generation Analysis
**Command**: `SlashCommand("/workflow:tools:test-concept-enhanced --session [testSessionId] --context [contextPath]")`
**Step 3.1: Dispatch** - Generate test requirements using Gemini
```javascript
SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessionId] --context [contextPath]")
```
**Input**:
- `testSessionId` from Phase 1
@@ -264,12 +284,16 @@ For each targeted file/function, Gemini MUST generate:
#### Phase 4: Generate Test Tasks
**Command**: `SlashCommand("/workflow:tools:test-task-generate [--use-codex] [--cli-execute] --session [testSessionId]")`
**Step 4.1: Dispatch** - Generate test task JSONs
```javascript
SlashCommand(command="/workflow:tools:test-task-generate --session [testSessionId]")
```
**Input**:
- `testSessionId` from Phase 1
- `--use-codex` flag (if present) - Controls IMPL-002 fix mode
- `--cli-execute` flag (if present) - Controls IMPL-001 generation mode
**Note**: CLI tool usage is determined semantically from user's task description.
**Expected Behavior**:
- Parse TEST_ANALYSIS_RESULTS.md from Phase 3 (multi-layered test plan)
@@ -343,26 +367,56 @@ CRITICAL - Next Steps:
**Core Concept**: Dynamic task attachment and collapse for test-fix-gen workflow with dual-mode support (Session Mode and Prompt Mode).
#### Initial TodoWrite Structure
```json
[
{"content": "Phase 1: Create Test Session", "status": "in_progress", "activeForm": "Creating test session"},
{"content": "Phase 2: Gather Test Context", "status": "pending", "activeForm": "Gathering test context"},
{"content": "Phase 3: Test Generation Analysis", "status": "pending", "activeForm": "Analyzing test generation"},
{"content": "Phase 4: Generate Test Tasks", "status": "pending", "activeForm": "Generating test tasks"},
{"content": "Phase 5: Return Summary", "status": "pending", "activeForm": "Completing"}
]
```
#### Key Principles
1. **Task Attachment** (when SlashCommand invoked):
1. **Task Attachment** (when SlashCommand dispatched):
- Sub-command's internal tasks are **attached** to orchestrator's TodoWrite
- Example: `/workflow:tools:test-context-gather` (Session Mode) or `/workflow:tools:context-gather` (Prompt Mode) attaches 3 sub-tasks (Phase 2.1, 2.2, 2.3)
- First attached task marked as `in_progress`, others as `pending`
- Orchestrator **executes** these attached tasks sequentially
- Example - Phase 2 with sub-tasks:
```json
[
{"content": "Phase 1: Create Test Session", "status": "completed", "activeForm": "Creating test session"},
{"content": "Phase 2: Gather Test Context", "status": "in_progress", "activeForm": "Gathering test context"},
{"content": " → Load context and analyze coverage", "status": "in_progress", "activeForm": "Loading context"},
{"content": " → Detect test framework and conventions", "status": "pending", "activeForm": "Detecting framework"},
{"content": " → Generate context package", "status": "pending", "activeForm": "Generating context"},
{"content": "Phase 3: Test Generation Analysis", "status": "pending", "activeForm": "Analyzing test generation"},
{"content": "Phase 4: Generate Test Tasks", "status": "pending", "activeForm": "Generating test tasks"},
{"content": "Phase 5: Return Summary", "status": "pending", "activeForm": "Completing"}
]
```
2. **Task Collapse** (after sub-tasks complete):
- Remove detailed sub-tasks from TodoWrite
- **Collapse** to high-level phase summary
- Example: Phase 2.1-2.3 collapse to "Gather test coverage context: completed"
- Maintains clean orchestrator-level view
- Example - Phase 2 completed:
```json
[
{"content": "Phase 1: Create Test Session", "status": "completed", "activeForm": "Creating test session"},
{"content": "Phase 2: Gather Test Context", "status": "completed", "activeForm": "Gathering test context"},
{"content": "Phase 3: Test Generation Analysis", "status": "in_progress", "activeForm": "Analyzing test generation"},
{"content": "Phase 4: Generate Test Tasks", "status": "pending", "activeForm": "Generating test tasks"},
{"content": "Phase 5: Return Summary", "status": "pending", "activeForm": "Completing"}
]
```
3. **Continuous Execution**:
- After collapse, automatically proceed to next pending phase
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**Lifecycle Summary**: Initial pending tasks → Phase invoked (tasks ATTACHED with mode-specific context gathering) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins → Repeat until all phases complete.
**Lifecycle Summary**: Initial pending tasks → Phase dispatched (tasks ATTACHED with mode-specific context gathering) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins → Repeat until all phases complete.
#### Test-Fix-Gen Specific Features
@@ -372,16 +426,8 @@ CRITICAL - Next Steps:
- **Phase 2**: Mode-specific context gathering (session summaries vs codebase analysis)
- **Phase 3**: Multi-layered test requirements analysis (L0: Static, L1: Unit, L2: Integration, L3: E2E)
- **Phase 4**: Multi-task generation with quality gate (IMPL-001, IMPL-001.5-review, IMPL-002)
- **Fix Mode Configuration**: `--use-codex` flag controls IMPL-002 fix mode (manual vs automated)
- **Fix Mode Configuration**: CLI tool usage determined semantically from user's task description
**Benefits**:
- Real-time visibility into attached tasks during execution
- Clean orchestrator-level summary after tasks complete
- Clear mental model: SlashCommand = attach tasks, not delegate work
- Dual-mode support: Both Session Mode and Prompt Mode use same attachment pattern
- Dynamic attachment/collapse maintains clarity
**Note**: Unlike other workflow orchestrators, this file consolidates TodoWrite examples in this section rather than distributing them across Phase descriptions for better dual-mode clarity.
---
@@ -479,16 +525,15 @@ If quality gate fails:
- Task ID: `IMPL-002`
- `meta.type: "test-fix"`
- `meta.agent: "@test-fix-agent"`
- `meta.use_codex: true|false` (based on `--use-codex` flag)
- `context.depends_on: ["IMPL-001"]`
- `context.requirements`: Execute and fix tests
**Test-Fix Cycle Specification**:
**Note**: This specification describes what test-cycle-execute orchestrator will do. The agent only executes single tasks.
- **Cycle Pattern** (orchestrator-managed): test → gemini_diagnose → manual_fix (or codex) → retest
- **Cycle Pattern** (orchestrator-managed): test → gemini_diagnose → fix (agent or CLI) → retest
- **Tools Configuration** (orchestrator-controlled):
- Gemini for analysis with bug-fix template → surgical fix suggestions
- Manual fix application (default) OR Codex if `--use-codex` flag (resume mechanism)
- Agent fix application (default) OR CLI if `command` field present in implementation_approach
- **Exit Conditions** (orchestrator-enforced):
- Success: All tests pass
- Failure: Max iterations reached (5)
@@ -534,11 +579,11 @@ WFS-test-[session]/
**File**: `workflow-session.json`
**Session Mode** includes:
- `workflow_type: "test_session"`
- `type: "test"` (set by session:start --type test)
- `source_session_id: "[sourceSessionId]"` (enables automatic cross-session context)
**Prompt Mode** includes:
- `workflow_type: "test_session"`
- `type: "test"` (set by session:start --type test)
- No `source_session_id` field
### Execution Flow Diagram
@@ -632,8 +677,7 @@ Key Points:
4. **Mode Selection**:
- Use **Session Mode** for completed workflow validation
- Use **Prompt Mode** for ad-hoc test generation
- Use `--use-codex` for autonomous fix application
- Use `--cli-execute` for enhanced generation capabilities
- Include "use Codex" in description for autonomous fix application
## Related Commands
@@ -646,9 +690,7 @@ Key Points:
- `/workflow:tools:test-context-gather` - Phase 2 (Session Mode): Gather source session context
- `/workflow:tools:context-gather` - Phase 2 (Prompt Mode): Analyze codebase directly
- `/workflow:tools:test-concept-enhanced` - Phase 3: Generate test requirements using Gemini
- `/workflow:tools:test-task-generate` - Phase 4: Generate test task JSONs using action-planning-agent (autonomous, default)
- `/workflow:tools:test-task-generate --use-codex` - Phase 4: With automated Codex fixes for IMPL-002 (when `--use-codex` flag used)
- `/workflow:tools:test-task-generate --cli-execute` - Phase 4: With CLI execution mode for IMPL-001 test generation (when `--cli-execute` flag used)
- `/workflow:tools:test-task-generate` - Phase 4: Generate test task JSONs (CLI tool usage determined semantically)
**Follow-up Commands**:
- `/workflow:status` - Review generated test tasks

View File

@@ -1,7 +1,7 @@
---
name: test-gen
description: Create independent test-fix workflow session from completed implementation session, analyzes code to generate test tasks
argument-hint: "[--use-codex] [--cli-execute] source-session-id"
argument-hint: "source-session-id"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
@@ -16,11 +16,11 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
- **Context-First**: Prioritizes gathering code changes and summaries from source session
- **Format Reuse**: Creates standard `IMPL-*.json` task, using `meta.type: "test-fix"` for agent assignment
- **Parameter Simplification**: Tools auto-detect test session type via metadata, no manual cross-session parameters needed
- **Manual First**: Default to manual fixes, use `--use-codex` flag for automated Codex fix application
- **Semantic CLI Selection**: CLI tool usage is determined by user's task description (e.g., "use Codex for fixes")
**Task Attachment Model**:
- SlashCommand invocation **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is invoked (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is dispatched (e.g., `/workflow:tools:test-context-gather`), its internal tasks are attached to the orchestrator's TodoWrite
- Orchestrator **executes these attached tasks** sequentially
- After completion, attached tasks are **collapsed** back to high-level phase summary
- This is **task expansion**, not external delegation
@@ -48,23 +48,44 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
5. **Complete All Phases**: Do not return to user until Phase 5 completes (summary returned)
6. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
7. **Automatic Detection**: context-gather auto-detects test session and gathers source session context
8. **Parse --use-codex Flag**: Extract flag from arguments and pass to Phase 4 (test-task-generate)
8. **Semantic CLI Selection**: CLI tool usage determined from user's task description, passed to Phase 4
9. **Command Boundary**: This command ends at Phase 5 summary. Test execution is NOT part of this command.
10. **Task Attachment Model**: SlashCommand invocation **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
10. **Task Attachment Model**: SlashCommand dispatch **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
11. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After executing all attached tasks, immediately collapse them and execute next phase
## 5-Phase Execution
### Phase 1: Create Test Session
**Command**: `SlashCommand(command="/workflow:session:start --new \"Test validation for [sourceSessionId]\"")`
**Input**: `sourceSessionId` from user argument (e.g., `WFS-user-auth`)
**Step 1.0: Load Source Session Intent** - Preserve user's original task description for semantic CLI selection
```javascript
// Read source session metadata to get original task description
Read(".workflow/active/[sourceSessionId]/workflow-session.json")
// OR if context-package exists:
Read(".workflow/active/[sourceSessionId]/.process/context-package.json")
// Extract: metadata.task_description or project/description field
// This preserves user's CLI tool preferences (e.g., "use Codex for fixes")
```
**Step 1.1: Dispatch** - Create new test workflow session with preserved intent
```javascript
// Include original task description to enable semantic CLI selection
SlashCommand(command="/workflow:session:start --new \"Test validation for [sourceSessionId]: [originalTaskDescription]\"")
```
**Input**:
- `sourceSessionId` from user argument (e.g., `WFS-user-auth`)
- `originalTaskDescription` from source session metadata (preserves CLI tool preferences)
**Expected Behavior**:
- Creates new session with pattern `WFS-test-[source-slug]` (e.g., `WFS-test-user-auth`)
- Writes metadata to `workflow-session.json`:
- `workflow_type: "test_session"`
- `source_session_id: "[sourceSessionId]"`
- Description includes original user intent for semantic CLI selection
- Returns new session ID for subsequent phases
**Parse Output**:
@@ -82,7 +103,12 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
### Phase 2: Gather Test Context
**Command**: `SlashCommand(command="/workflow:tools:test-context-gather --session [testSessionId]")`
**Step 2.1: Dispatch** - Gather test coverage context from source session
```javascript
SlashCommand(command="/workflow:tools:test-context-gather --session [testSessionId]")
```
**Input**: `testSessionId` from Phase 1 (e.g., `WFS-test-user-auth`)
@@ -104,9 +130,9 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
- Test framework detected
- Test conventions documented
<!-- TodoWrite: When test-context-gather invoked, INSERT 3 test-context-gather tasks -->
<!-- TodoWrite: When test-context-gather dispatched, INSERT 3 test-context-gather tasks -->
**TodoWrite Update (Phase 2 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 2 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -119,7 +145,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
]
```
**Note**: SlashCommand invocation **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand dispatch **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 2.1-2.3** sequentially
@@ -141,7 +167,12 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
### Phase 3: Test Generation Analysis
**Command**: `SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessionId] --context [testContextPath]")`
**Step 3.1: Dispatch** - Analyze test requirements with Gemini
```javascript
SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessionId] --context [testContextPath]")
```
**Input**:
- `testSessionId` from Phase 1
@@ -168,9 +199,9 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
- Implementation Targets (test files to create)
- Success Criteria
<!-- TodoWrite: When test-concept-enhanced invoked, INSERT 3 concept-enhanced tasks -->
<!-- TodoWrite: When test-concept-enhanced dispatched, INSERT 3 concept-enhanced tasks -->
**TodoWrite Update (Phase 3 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -183,7 +214,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
]
```
**Note**: SlashCommand invocation **attaches** test-concept-enhanced's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand dispatch **attaches** test-concept-enhanced's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 3.1-3.3** sequentially
@@ -205,12 +236,17 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
---
### Phase 4: Generate Test Tasks
**Command**: `SlashCommand(command="/workflow:tools:test-task-generate [--use-codex] [--cli-execute] --session [testSessionId]")`
**Step 4.1: Dispatch** - Generate test task JSON files and planning documents
```javascript
SlashCommand(command="/workflow:tools:test-task-generate --session [testSessionId]")
```
**Input**:
- `testSessionId` from Phase 1
- `--use-codex` flag (if present in original command) - Controls IMPL-002 fix mode
- `--cli-execute` flag (if present in original command) - Controls IMPL-001 generation mode
**Note**: CLI tool usage for fixes is determined semantically from user's task description (e.g., "use Codex for automated fixes").
**Expected Behavior**:
- Parse TEST_ANALYSIS_RESULTS.md from Phase 3
@@ -240,21 +276,20 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
- Task ID: `IMPL-002`
- `meta.type: "test-fix"`
- `meta.agent: "@test-fix-agent"`
- `meta.use_codex: true|false` (based on --use-codex flag)
- `context.depends_on: ["IMPL-001"]`
- `context.requirements`: Execute and fix tests
- `flow_control.implementation_approach.test_fix_cycle`: Complete cycle specification
- **Cycle pattern**: test → gemini_diagnose → manual_fix (or codex if --use-codex) → retest
- **Tools configuration**: Gemini for analysis with bug-fix template, manual or Codex for fixes
- **Cycle pattern**: test → gemini_diagnose → fix (agent or CLI based on `command` field) → retest
- **Tools configuration**: Gemini for analysis with bug-fix template, agent or CLI for fixes
- **Exit conditions**: Success (all pass) or failure (max iterations)
- `flow_control.implementation_approach.modification_points`: 3-phase execution flow
- Phase 1: Initial test execution
- Phase 2: Iterative Gemini diagnosis + manual/Codex fixes (based on flag)
- Phase 2: Iterative Gemini diagnosis + fixes (agent or CLI based on step's `command` field)
- Phase 3: Final validation and certification
<!-- TodoWrite: When test-task-generate invoked, INSERT 3 test-task-generate tasks -->
<!-- TodoWrite: When test-task-generate dispatched, INSERT 3 test-task-generate tasks -->
**TodoWrite Update (Phase 4 SlashCommand invoked - tasks attached)**:
**TodoWrite Update (Phase 4 SlashCommand dispatched - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -267,7 +302,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
]
```
**Note**: SlashCommand invocation **attaches** test-task-generate's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand dispatch **attaches** test-task-generate's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 4.1-4.3** sequentially
@@ -307,7 +342,7 @@ Artifacts Created:
Test Framework: [detected framework]
Test Files to Generate: [count]
Fix Mode: [Manual|Codex Automated] (based on --use-codex flag)
Fix Mode: [Agent|CLI] (based on `command` field in implementation_approach steps)
Review Generated Artifacts:
- Test plan: .workflow/[testSessionId]/IMPL_PLAN.md
@@ -329,7 +364,7 @@ Ready for execution. Use appropriate workflow commands to proceed.
### Key Principles
1. **Task Attachment** (when SlashCommand invoked):
1. **Task Attachment** (when SlashCommand dispatched):
- Sub-command's internal tasks are **attached** to orchestrator's TodoWrite
- Example: `/workflow:tools:test-context-gather` attaches 3 sub-tasks (Phase 2.1, 2.2, 2.3)
- First attached task marked as `in_progress`, others as `pending`
@@ -346,20 +381,16 @@ Ready for execution. Use appropriate workflow commands to proceed.
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**Lifecycle Summary**: Initial pending tasks → Phase invoked (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins → Repeat until all phases complete.
**Lifecycle Summary**: Initial pending tasks → Phase dispatched (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins → Repeat until all phases complete.
### Test-Gen Specific Features
- **Phase 2**: Cross-session context gathering from source implementation session
- **Phase 3**: Test requirements analysis with Gemini for generation strategy
- **Phase 4**: Dual-task generation (IMPL-001 for test generation, IMPL-002 for test execution)
- **Fix Mode Configuration**: `--use-codex` flag controls IMPL-002 fix mode (manual vs automated)
- **Fix Mode Configuration**: CLI tool usage determined semantically from user's task description
**Benefits**:
- Real-time visibility into attached tasks during execution
- Clean orchestrator-level summary after tasks complete
- Clear mental model: SlashCommand = attach tasks, not delegate work
- Dynamic attachment/collapse maintains clarity
**Note**: See individual Phase descriptions (Phase 2, 3, 4) for detailed TodoWrite Update examples with full JSON structures.
@@ -428,7 +459,7 @@ Generates two task definition files:
- Agent: @test-fix-agent
- Dependency: IMPL-001 must complete first
- Max iterations: 5
- Fix mode: Manual or Codex (based on --use-codex flag)
- Fix mode: Agent or CLI (based on `command` field in implementation_approach)
See `/workflow:tools:test-task-generate` for complete task JSON schemas.
@@ -465,11 +496,10 @@ Created in `.workflow/active/WFS-test-[session]/`:
**IMPL-002.json Structure**:
- `meta.type: "test-fix"`
- `meta.agent: "@test-fix-agent"`
- `meta.use_codex`: true/false (based on --use-codex flag)
- `context.depends_on: ["IMPL-001"]`
- `flow_control.implementation_approach.test_fix_cycle`: Complete cycle specification
- Gemini diagnosis template
- Fix application mode (manual/codex)
- Fix application mode (agent or CLI based on `command` field)
- Max iterations: 5
- `flow_control.implementation_approach.modification_points`: 3-phase flow
@@ -487,13 +517,11 @@ See `/workflow:tools:test-task-generate` for complete JSON schemas.
**Prerequisite Commands**:
- `/workflow:plan` or `/workflow:execute` - Complete implementation session that needs test validation
**Called by This Command** (5 phases):
**Dispatched by This Command** (4 phases):
- `/workflow:session:start` - Phase 1: Create independent test workflow session
- `/workflow:tools:test-context-gather` - Phase 2: Analyze test coverage and gather source session context
- `/workflow:tools:test-concept-enhanced` - Phase 3: Generate test requirements and strategy using Gemini
- `/workflow:tools:test-task-generate` - Phase 4: Generate test task JSONs using action-planning-agent (autonomous, default)
- `/workflow:tools:test-task-generate --use-codex` - Phase 4: With automated Codex fixes for IMPL-002 (when `--use-codex` flag used)
- `/workflow:tools:test-task-generate --cli-execute` - Phase 4: With CLI execution mode for IMPL-001 test generation (when `--cli-execute` flag used)
- `/workflow:tools:test-task-generate` - Phase 4: Generate test task JSONs (CLI tool usage determined semantically)
**Follow-up Commands**:
- `/workflow:status` - Review generated test tasks

View File

@@ -12,11 +12,6 @@ examples:
## Purpose
Analyzes conflicts between implementation plans and existing codebase, **including module scenario uniqueness detection**, generating multiple resolution strategies with **iterative clarification until boundaries are clear**.
**Key Enhancements**:
- **Scenario Uniqueness Detection**: Agent searches all existing modules to identify functional overlaps
- **Iterative Clarification Loop**: Unlimited questions per conflict until scenario boundaries are uniquely defined (max 10 rounds)
- **Dynamic Re-analysis**: Agent updates strategies based on user clarifications
**Scope**: Detection and strategy generation only - NO code modification or task creation.
**Trigger**: Auto-executes in `/workflow:plan` Phase 3 when `conflict_risk ≥ medium`.
@@ -64,6 +59,41 @@ Analyzes conflicts between implementation plans and existing codebase, **includi
- Module merge/split decisions
- **Requires iterative clarification until uniqueness confirmed**
## Execution Process
```
Input Parsing:
├─ Parse flags: --session, --context
└─ Validation: Both REQUIRED, conflict_risk >= medium
Phase 1: Validation
├─ Step 1: Verify session directory exists
├─ Step 2: Load context-package.json
├─ Step 3: Check conflict_risk (skip if none/low)
└─ Step 4: Prepare agent task prompt
Phase 2: CLI-Powered Analysis (Agent)
├─ Execute Gemini analysis (Qwen fallback)
├─ Detect conflicts including ModuleOverlap category
└─ Generate 2-4 strategies per conflict with modifications
Phase 3: Iterative User Interaction
└─ FOR each conflict (one by one):
├─ Display conflict with overlap_analysis (if ModuleOverlap)
├─ Display strategies (2-4 + custom option)
├─ User selects strategy
└─ IF clarification_needed:
├─ Collect answers
├─ Agent re-analysis
└─ Loop until uniqueness_confirmed (max 10 rounds)
Phase 4: Apply Modifications
├─ Step 1: Extract modifications from resolved strategies
├─ Step 2: Apply using Edit tool
├─ Step 3: Update context-package.json (mark resolved)
└─ Step 4: Output custom conflict summary (if any)
```
## Execution Flow
### Phase 1: Validation
@@ -78,42 +108,54 @@ Analyzes conflicts between implementation plans and existing codebase, **includi
**Agent Delegation**:
```javascript
Task(subagent_type="cli-execution-agent", prompt=`
Task(subagent_type="cli-execution-agent", run_in_background=false, prompt=`
## Context
- Session: {session_id}
- Risk: {conflict_risk}
- Files: {existing_files_list}
## Exploration Context (from context-package.exploration_results)
- Exploration Count: ${contextPackage.exploration_results?.exploration_count || 0}
- Angles Analyzed: ${JSON.stringify(contextPackage.exploration_results?.angles || [])}
- Pre-identified Conflict Indicators: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.conflict_indicators || [])}
- Critical Files: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.critical_files?.map(f => f.path) || [])}
- All Patterns: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.all_patterns || [])}
- All Integration Points: ${JSON.stringify(contextPackage.exploration_results?.aggregated_insights?.all_integration_points || [])}
## Analysis Steps
### 0. Load Output Schema (MANDATORY)
Execute: cat ~/.claude/workflows/cli-templates/schemas/conflict-resolution-schema.json
### 1. Load Context
- Read existing files from conflict_detection.existing_files
- Load plan from .workflow/active/{session_id}/.process/context-package.json
- **NEW**: Load exploration_results and use aggregated_insights for enhanced analysis
- Extract role analyses and requirements
### 2. Execute CLI Analysis (Enhanced with Scenario Uniqueness Detection)
### 2. Execute CLI Analysis (Enhanced with Exploration + Scenario Uniqueness)
Primary (Gemini):
cd {project_root} && gemini -p "
PURPOSE: Detect conflicts between plan and codebase, including module scenario overlaps
ccw cli -p "
PURPOSE: Detect conflicts between plan and codebase, using exploration insights
TASK:
Compare architectures
**Review pre-identified conflict_indicators from exploration results**
• Compare architectures (use exploration key_patterns)
• Identify breaking API changes
• Detect data model incompatibilities
• Assess dependency conflicts
• **NEW: Analyze module scenario uniqueness**
- Extract new module functionality from plan
- Search all existing modules with similar functionality
- Compare scenario coverage and identify overlaps
• **Analyze module scenario uniqueness**
- Use exploration integration_points for precise locations
- Cross-validate with exploration critical_files
- Generate clarification questions for boundary definition
MODE: analysis
CONTEXT: @**/*.ts @**/*.js @**/*.tsx @**/*.jsx @.workflow/active/{session_id}/**/*
EXPECTED: Conflict list with severity ratings, including ModuleOverlap conflicts with:
- Existing module list with scenarios
- Overlap analysis matrix
EXPECTED: Conflict list with severity ratings, including:
- Validation of exploration conflict_indicators
- ModuleOverlap conflicts with overlap_analysis
- Targeted clarification questions
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-code-patterns.txt) | Focus on breaking changes, migration needs, and functional overlaps | analysis=READ-ONLY
"
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-code-patterns.txt) | Focus on breaking changes, migration needs, and functional overlaps | Prioritize exploration-identified conflicts | analysis=READ-ONLY
" --tool gemini --mode analysis --cd {project_root}
Fallback: Qwen (same prompt) → Claude (manual analysis)
@@ -130,125 +172,16 @@ Task(subagent_type="cli-execution-agent", prompt=`
### 4. Return Structured Conflict Data
⚠️ DO NOT generate CONFLICT_RESOLUTION.md file
⚠️ Output to conflict-resolution.json (generated in Phase 4)
Return JSON format for programmatic processing:
**Schema Reference**: Execute \`cat ~/.claude/workflows/cli-templates/schemas/conflict-resolution-schema.json\` to get full schema
\`\`\`json
{
"conflicts": [
{
"id": "CON-001",
"brief": "一行中文冲突摘要",
"severity": "Critical|High|Medium",
"category": "Architecture|API|Data|Dependency|ModuleOverlap",
"affected_files": [
".workflow/active/{session}/.brainstorm/guidance-specification.md",
".workflow/active/{session}/.brainstorm/system-architect/analysis.md"
],
"description": "详细描述冲突 - 什么不兼容",
"impact": {
"scope": "影响的模块/组件",
"compatibility": "Yes|No|Partial",
"migration_required": true|false,
"estimated_effort": "人天估计"
},
"overlap_analysis": {
"// NOTE": "仅当 category=ModuleOverlap 时需要此字段",
"new_module": {
"name": "新模块名称",
"scenarios": ["场景1", "场景2", "场景3"],
"responsibilities": "职责描述"
},
"existing_modules": [
{
"file": "src/existing/module.ts",
"name": "现有模块名称",
"scenarios": ["场景A", "场景B"],
"overlap_scenarios": ["重叠场景1", "重叠场景2"],
"responsibilities": "现有模块职责"
}
]
},
"strategies": [
{
"name": "策略名称(中文)",
"approach": "实现方法简述",
"complexity": "Low|Medium|High",
"risk": "Low|Medium|High",
"effort": "时间估计",
"pros": ["优点1", "优点2"],
"cons": ["缺点1", "缺点2"],
"clarification_needed": [
"// NOTE: 仅当需要用户进一步澄清时需要此字段(尤其是 ModuleOverlap",
"新模块的核心职责边界是什么?",
"如何与现有模块 X 协作?",
"哪些场景应该由新模块处理?"
],
"modifications": [
{
"file": ".workflow/active/{session}/.brainstorm/guidance-specification.md",
"section": "## 2. System Architect Decisions",
"change_type": "update",
"old_content": "原始内容片段(用于定位)",
"new_content": "修改后的内容",
"rationale": "为什么这样改"
},
{
"file": ".workflow/active/{session}/.brainstorm/system-architect/analysis.md",
"section": "## Design Decisions",
"change_type": "update",
"old_content": "原始内容片段",
"new_content": "修改后的内容",
"rationale": "修改理由"
}
]
},
{
"name": "策略2名称",
"approach": "...",
"complexity": "Medium",
"risk": "Low",
"effort": "1-2天",
"pros": ["优点"],
"cons": ["缺点"],
"modifications": [...]
}
],
"recommended": 0,
"modification_suggestions": [
"建议1具体的修改方向或注意事项",
"建议2可能需要考虑的边界情况",
"建议3相关的最佳实践或模式"
]
}
],
"summary": {
"total": 2,
"critical": 1,
"high": 1,
"medium": 0
}
}
\`\`\`
⚠️ CRITICAL Requirements for modifications field:
- old_content: Must be exact text from target file (20-100 chars for unique match)
- new_content: Complete replacement text (maintains formatting)
- change_type: "update" (replace), "add" (insert), "remove" (delete)
- file: Full path relative to project root
- section: Markdown heading for context (helps locate position)
Return JSON following the schema above. Key requirements:
- Minimum 2 strategies per conflict, max 4
- All text in Chinese for user-facing fields (brief, name, pros, cons)
- modification_suggestions: 2-5 actionable suggestions for custom handling (Chinese)
Quality Standards:
- Each strategy must have actionable modifications
- old_content must be precise enough for Edit tool matching
- new_content preserves markdown formatting and structure
- Recommended strategy (index) based on lowest complexity + risk
- modification_suggestions must be specific, actionable, and context-aware
- Each suggestion should address a specific aspect (compatibility, migration, testing, etc.)
- All text in Chinese for user-facing fields (brief, name, pros, cons, modification_suggestions)
- modifications.old_content: 20-100 chars for unique Edit tool matching
- modifications.new_content: preserves markdown formatting
- modification_suggestions: 2-5 actionable suggestions for custom handling
`)
```
@@ -273,143 +206,85 @@ Task(subagent_type="cli-execution-agent", prompt=`
8. Return execution log path
```
### Phase 3: Iterative User Interaction with Clarification Loop
### Phase 3: User Interaction Loop
**Execution Flow**:
```
FOR each conflict (逐个处理,无数量限制):
clarified = false
round = 0
userClarifications = []
```javascript
FOR each conflict:
round = 0, clarified = false, userClarifications = []
WHILE (!clarified && round < 10):
round++
WHILE (!clarified && round++ < 10):
// 1. Display conflict info (text output for context)
displayConflictSummary(conflict) // id, brief, severity, overlap_analysis if ModuleOverlap
// 1. Display conflict (包含所有关键字段)
- category, id, brief, severity, description
- IF ModuleOverlap: 展示 overlap_analysis
* new_module: {name, scenarios, responsibilities}
* existing_modules[]: {file, name, scenarios, overlap_scenarios, responsibilities}
// 2. Strategy selection via AskUserQuestion
AskUserQuestion({
questions: [{
question: formatStrategiesForDisplay(conflict.strategies),
header: "策略选择",
multiSelect: false,
options: [
...conflict.strategies.map((s, i) => ({
label: `${s.name}${i === conflict.recommended ? ' (推荐)' : ''}`,
description: `${s.complexity}复杂度 | ${s.risk}风险${s.clarification_needed?.length ? ' | ⚠️需澄清' : ''}`
})),
{ label: "自定义修改", description: `建议: ${conflict.modification_suggestions?.slice(0,2).join('; ')}` }
]
}]
})
// 2. Display strategies (2-4个策略 + 自定义选项)
- FOR each strategy: {name, approach, complexity, risk, effort, pros, cons}
* IF clarification_needed: 展示待澄清问题列表
- 自定义选项: {suggestions: modification_suggestions[]}
// 3. Handle selection
if (userChoice === "自定义修改") {
customConflicts.push({ id, brief, category, suggestions, overlap_analysis })
break
}
// 3. User selects strategy
userChoice = readInput()
selectedStrategy = findStrategyByName(userChoice)
IF userChoice == "自定义":
customConflicts.push({id, brief, category, suggestions, overlap_analysis})
clarified = true
BREAK
// 4. Clarification (if needed) - batched max 4 per call
if (selectedStrategy.clarification_needed?.length > 0) {
for (batch of chunk(selectedStrategy.clarification_needed, 4)) {
AskUserQuestion({
questions: batch.map((q, i) => ({
question: q, header: `澄清${i+1}`, multiSelect: false,
options: [{ label: "详细说明", description: "提供答案" }]
}))
})
userClarifications.push(...collectAnswers(batch))
}
selectedStrategy = strategies[userChoice]
// 4. Clarification loop
IF selectedStrategy.clarification_needed.length > 0:
// 收集澄清答案
FOR each question:
answer = readInput()
userClarifications.push({question, answer})
// Agent 重新分析
reanalysisResult = Task(cli-execution-agent, prompt={
冲突信息: {id, brief, category, 策略}
用户澄清: userClarifications[]
场景分析: overlap_analysis (if ModuleOverlap)
输出: {
uniqueness_confirmed: bool,
rationale: string,
updated_strategy: {name, approach, complexity, risk, effort, modifications[]},
remaining_questions: [] (如果仍有歧义)
}
// 5. Agent re-analysis
reanalysisResult = Task({
subagent_type: "cli-execution-agent",
run_in_background: false,
prompt: `Conflict: ${conflict.id}, Strategy: ${selectedStrategy.name}
User Clarifications: ${JSON.stringify(userClarifications)}
Output: { uniqueness_confirmed, rationale, updated_strategy, remaining_questions }`
})
IF reanalysisResult.uniqueness_confirmed:
selectedStrategy = updated_strategy
selectedStrategy.clarifications = userClarifications
if (reanalysisResult.uniqueness_confirmed) {
selectedStrategy = { ...reanalysisResult.updated_strategy, clarifications: userClarifications }
clarified = true
ELSE:
// 更新澄清问题,继续下一轮
selectedStrategy.clarification_needed = remaining_questions
ELSE:
} else {
selectedStrategy.clarification_needed = reanalysisResult.remaining_questions
}
} else {
clarified = true
}
resolvedConflicts.push({conflict, strategy: selectedStrategy})
if (clarified) resolvedConflicts.push({ conflict, strategy: selectedStrategy })
END WHILE
END FOR
// Build output
selectedStrategies = resolvedConflicts.map(r => ({
conflict_id, strategy, clarifications[]
conflict_id: r.conflict.id, strategy: r.strategy, clarifications: r.strategy.clarifications || []
}))
```
**Key Data Structures**:
```javascript
// Custom conflict tracking
customConflicts[] = {
id, brief, category,
suggestions: modification_suggestions[],
overlap_analysis: { new_module{}, existing_modules[] } // ModuleOverlap only
}
// Agent re-analysis prompt output
{
uniqueness_confirmed: bool,
rationale: string,
updated_strategy: {
name, approach, complexity, risk, effort,
modifications: [{file, section, change_type, old_content, new_content, rationale}]
},
remaining_questions: string[]
}
```
**Text Output Example** (展示关键字段):
```markdown
============================================================
冲突 1/3 - 第 1 轮
============================================================
【ModuleOverlap】CON-001: 新增用户认证服务与现有模块功能重叠
严重程度: High | 描述: 计划中的 UserAuthService 与现有 AuthManager 场景重叠
--- 场景重叠分析 ---
新模块: UserAuthService | 场景: 登录, Token验证, 权限, MFA
现有模块: AuthManager (src/auth/AuthManager.ts) | 重叠: 登录, Token验证
--- 解决策略 ---
1) 合并 (Low复杂度 | Low风险 | 2-3天)
⚠️ 需澄清: AuthManager是否能承担MFA
2) 拆分边界 (Medium复杂度 | Medium风险 | 4-5天)
⚠️ 需澄清: 基础/高级认证边界? Token验证归谁?
3) 自定义修改
建议: 评估扩展性; 策略模式分离; 定义接口边界
请选择 (1-3): > 2
--- 澄清问答 (第1轮) ---
Q: 基础/高级认证边界?
A: 基础=密码登录+token验证, 高级=MFA+OAuth+SSO
Q: Token验证归谁?
A: 统一由 AuthManager 负责
🔄 重新分析...
✅ 唯一性已确认 | 理由: 边界清晰 - AuthManager(基础+token), UserAuthService(MFA+OAuth+SSO)
============================================================
冲突 2/3 - 第 1 轮 [下一个冲突]
============================================================
```
**Loop Characteristics**: 逐个处理 | 无限轮次(max 10) | 动态问题生成 | Agent重新分析判断唯一性 | ModuleOverlap场景边界澄清
**Key Points**:
- AskUserQuestion: max 4 questions/call, batch if more
- Strategy options: 2-4 strategies + "自定义修改"
- Clarification loop: max 10 rounds, agent判断 uniqueness_confirmed
- Custom conflicts: 记录 overlap_analysis 供后续手动处理
### Phase 4: Apply Modifications
@@ -428,14 +303,30 @@ selectedStrategies.forEach(item => {
console.log(`\n正在应用 ${modifications.length} 个修改...`);
// 2. Apply each modification using Edit tool
// 2. Apply each modification using Edit tool (with fallback to context-package.json)
const appliedModifications = [];
const failedModifications = [];
const fallbackConstraints = []; // For files that don't exist
modifications.forEach((mod, idx) => {
try {
console.log(`[${idx + 1}/${modifications.length}] 修改 ${mod.file}...`);
// Check if target file exists (brainstorm files may not exist in lite workflow)
if (!file_exists(mod.file)) {
console.log(` ⚠️ 文件不存在,写入 context-package.json 作为约束`);
fallbackConstraints.push({
source: "conflict-resolution",
conflict_id: mod.conflict_id,
target_file: mod.file,
section: mod.section,
change_type: mod.change_type,
content: mod.new_content,
rationale: mod.rationale
});
return; // Skip to next modification
}
if (mod.change_type === "update") {
Edit({
file_path: mod.file,
@@ -463,14 +354,45 @@ modifications.forEach((mod, idx) => {
}
});
// 3. Update context-package.json with resolution details
// 2b. Generate conflict-resolution.json output file
const resolutionOutput = {
session_id: sessionId,
resolved_at: new Date().toISOString(),
summary: {
total_conflicts: conflicts.length,
resolved_with_strategy: selectedStrategies.length,
custom_handling: customConflicts.length,
fallback_constraints: fallbackConstraints.length
},
resolved_conflicts: selectedStrategies.map(s => ({
conflict_id: s.conflict_id,
strategy_name: s.strategy.name,
strategy_approach: s.strategy.approach,
clarifications: s.clarifications || [],
modifications_applied: s.strategy.modifications?.filter(m =>
appliedModifications.some(am => am.conflict_id === s.conflict_id)
) || []
})),
custom_conflicts: customConflicts.map(c => ({
id: c.id,
brief: c.brief,
category: c.category,
suggestions: c.suggestions,
overlap_analysis: c.overlap_analysis || null
})),
planning_constraints: fallbackConstraints, // Constraints for files that don't exist
failed_modifications: failedModifications
};
const resolutionPath = `.workflow/active/${sessionId}/.process/conflict-resolution.json`;
Write(resolutionPath, JSON.stringify(resolutionOutput, null, 2));
console.log(`\n📄 冲突解决结果已保存: ${resolutionPath}`);
// 3. Update context-package.json with resolution details (reference to JSON file)
const contextPackage = JSON.parse(Read(contextPath));
contextPackage.conflict_detection.conflict_risk = "resolved";
contextPackage.conflict_detection.resolved_conflicts = selectedStrategies.map(s => ({
conflict_id: s.conflict_id,
strategy_name: s.strategy.name,
clarifications: s.clarifications
}));
contextPackage.conflict_detection.resolution_file = resolutionPath; // Reference to detailed JSON
contextPackage.conflict_detection.resolved_conflicts = selectedStrategies.map(s => s.conflict_id);
contextPackage.conflict_detection.custom_conflicts = customConflicts.map(c => c.id);
contextPackage.conflict_detection.resolved_at = new Date().toISOString();
Write(contextPath, JSON.stringify(contextPackage, null, 2));
@@ -543,12 +465,50 @@ return {
✓ Agent log saved to .workflow/active/{session_id}/.chat/
```
## Output Format: Agent JSON Response
## Output Format
### Primary Output: conflict-resolution.json
**Path**: `.workflow/active/{session_id}/.process/conflict-resolution.json`
**Schema**:
```json
{
"session_id": "WFS-xxx",
"resolved_at": "ISO timestamp",
"summary": {
"total_conflicts": 3,
"resolved_with_strategy": 2,
"custom_handling": 1,
"fallback_constraints": 0
},
"resolved_conflicts": [
{
"conflict_id": "CON-001",
"strategy_name": "策略名称",
"strategy_approach": "实现方法",
"clarifications": [],
"modifications_applied": []
}
],
"custom_conflicts": [
{
"id": "CON-002",
"brief": "冲突摘要",
"category": "ModuleOverlap",
"suggestions": ["建议1", "建议2"],
"overlap_analysis": null
}
],
"planning_constraints": [],
"failed_modifications": []
}
```
### Secondary: Agent JSON Response (stdout)
**Focus**: Structured conflict data with actionable modifications for programmatic processing.
**Format**: JSON to stdout (NO file generation)
**Structure**: Defined in Phase 2, Step 4 (agent prompt)
### Key Requirements
@@ -596,11 +556,12 @@ If Edit tool fails mid-application:
- Requires: `conflict_risk ≥ medium`
**Output**:
- Modified files:
- Generated file:
- `.workflow/active/{session_id}/.process/conflict-resolution.json` (primary output)
- Modified files (if exist):
- `.workflow/active/{session_id}/.brainstorm/guidance-specification.md`
- `.workflow/active/{session_id}/.brainstorm/{role}/analysis.md`
- `.workflow/active/{session_id}/.process/context-package.json` (conflict_risk → resolved)
- NO report file generation
- `.workflow/active/{session_id}/.process/context-package.json` (conflict_risk → resolved, resolution_file reference)
**User Interaction**:
- **Iterative conflict processing**: One conflict at a time, not in batches
@@ -628,7 +589,7 @@ If Edit tool fails mid-application:
✓ guidance-specification.md updated with resolved conflicts
✓ Role analyses (*.md) updated with resolved conflicts
✓ context-package.json marked as "resolved" with clarification records
No CONFLICT_RESOLUTION.md file generated
conflict-resolution.json generated with full resolution details
✓ Modification summary includes:
- Total conflicts
- Resolved with strategy (count)

View File

@@ -15,7 +15,6 @@ allowed-tools: Task(*), Read(*), Glob(*)
Orchestrator command that invokes `context-search-agent` to gather comprehensive project context for implementation planning. Generates standardized `context-package.json` with codebase analysis, dependencies, and conflict detection.
**Agent**: `context-search-agent` (`.claude/agents/context-search-agent.md`)
## Core Philosophy
@@ -24,6 +23,37 @@ Orchestrator command that invokes `context-search-agent` to gather comprehensive
- **Plan Mode**: Full comprehensive analysis (vs lightweight brainstorm mode)
- **Standardized Output**: Generate `.workflow/active/{session}/.process/context-package.json`
## Execution Process
```
Input Parsing:
├─ Parse flags: --session
└─ Parse: task_description (required)
Step 1: Context-Package Detection
└─ Decision (existing package):
├─ Valid package exists → Return existing (skip execution)
└─ No valid package → Continue to Step 2
Step 2: Complexity Assessment & Parallel Explore (NEW)
├─ Analyze task_description → classify Low/Medium/High
├─ Select exploration angles (1-4 based on complexity)
├─ Launch N cli-explore-agents in parallel
│ └─ Each outputs: exploration-{angle}.json
└─ Generate explorations-manifest.json
Step 3: Invoke Context-Search Agent (with exploration input)
├─ Phase 1: Initialization & Pre-Analysis
├─ Phase 2: Multi-Source Discovery
│ ├─ Track 0: Exploration Synthesis (prioritize & deduplicate)
│ ├─ Track 1-4: Existing tracks
└─ Phase 3: Synthesis & Packaging
└─ Generate context-package.json with exploration_results
Step 4: Output Verification
└─ Verify context-package.json contains exploration_results
```
## Execution Flow
### Step 1: Context-Package Detection
@@ -48,17 +78,146 @@ if (file_exists(contextPackagePath)) {
}
```
### Step 2: Invoke Context-Search Agent
### Step 2: Complexity Assessment & Parallel Explore
**Only execute if Step 1 finds no valid package**
```javascript
// 2.1 Complexity Assessment
function analyzeTaskComplexity(taskDescription) {
const text = taskDescription.toLowerCase();
if (/architect|refactor|restructure|modular|cross-module/.test(text)) return 'High';
if (/multiple|several|integrate|migrate|extend/.test(text)) return 'Medium';
return 'Low';
}
const ANGLE_PRESETS = {
architecture: ['architecture', 'dependencies', 'modularity', 'integration-points'],
security: ['security', 'auth-patterns', 'dataflow', 'validation'],
performance: ['performance', 'bottlenecks', 'caching', 'data-access'],
bugfix: ['error-handling', 'dataflow', 'state-management', 'edge-cases'],
feature: ['patterns', 'integration-points', 'testing', 'dependencies'],
refactor: ['architecture', 'patterns', 'dependencies', 'testing']
};
function selectAngles(taskDescription, complexity) {
const text = taskDescription.toLowerCase();
let preset = 'feature';
if (/refactor|architect|restructure/.test(text)) preset = 'architecture';
else if (/security|auth|permission/.test(text)) preset = 'security';
else if (/performance|slow|optimi/.test(text)) preset = 'performance';
else if (/fix|bug|error|issue/.test(text)) preset = 'bugfix';
const count = complexity === 'High' ? 4 : (complexity === 'Medium' ? 3 : 1);
return ANGLE_PRESETS[preset].slice(0, count);
}
const complexity = analyzeTaskComplexity(task_description);
const selectedAngles = selectAngles(task_description, complexity);
const sessionFolder = `.workflow/active/${session_id}/.process`;
// 2.2 Launch Parallel Explore Agents
const explorationTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Explore: ${angle}`,
prompt=`
## Task Objective
Execute **${angle}** exploration for task planning context. Analyze codebase from this specific angle to discover relevant structure, patterns, and constraints.
## Assigned Context
- **Exploration Angle**: ${angle}
- **Task Description**: ${task_description}
- **Session ID**: ${session_id}
- **Exploration Index**: ${index + 1} of ${selectedAngles.length}
- **Output File**: ${sessionFolder}/exploration-${angle}.json
## MANDATORY FIRST STEPS (Execute by Agent)
**You (cli-explore-agent) MUST execute these steps in order:**
1. Run: ccw tool exec get_modules_by_depth '{}' (project structure)
2. Run: rg -l "{keyword_from_task}" --type ts (locate relevant files)
3. Execute: cat ~/.claude/workflows/cli-templates/schemas/explore-json-schema.json (get output schema reference)
## Exploration Strategy (${angle} focus)
**Step 1: Structural Scan** (Bash)
- get_modules_by_depth.sh → identify modules related to ${angle}
- find/rg → locate files relevant to ${angle} aspect
- Analyze imports/dependencies from ${angle} perspective
**Step 2: Semantic Analysis** (Gemini CLI)
- How does existing code handle ${angle} concerns?
- What patterns are used for ${angle}?
- Where would new code integrate from ${angle} viewpoint?
**Step 3: Write Output**
- Consolidate ${angle} findings into JSON
- Identify ${angle}-specific clarification needs
## Expected Output
**File**: ${sessionFolder}/exploration-${angle}.json
**Schema Reference**: Schema obtained in MANDATORY FIRST STEPS step 3, follow schema exactly
**Required Fields** (all ${angle} focused):
- project_structure: Modules/architecture relevant to ${angle}
- relevant_files: Files affected from ${angle} perspective
**IMPORTANT**: Use object format with relevance scores for synthesis:
\`[{path: "src/file.ts", relevance: 0.85, rationale: "Core ${angle} logic"}]\`
Scores: 0.7+ high priority, 0.5-0.7 medium, <0.5 low
- patterns: ${angle}-related patterns to follow
- dependencies: Dependencies relevant to ${angle}
- integration_points: Where to integrate from ${angle} viewpoint (include file:line locations)
- constraints: ${angle}-specific limitations/conventions
- clarification_needs: ${angle}-related ambiguities (options array + recommended index)
- _metadata.exploration_angle: "${angle}"
## Success Criteria
- [ ] Schema obtained via cat explore-json-schema.json
- [ ] get_modules_by_depth.sh executed
- [ ] At least 3 relevant files identified with ${angle} rationale
- [ ] Patterns are actionable (code examples, not generic advice)
- [ ] Integration points include file:line locations
- [ ] Constraints are project-specific to ${angle}
- [ ] JSON output follows schema exactly
- [ ] clarification_needs includes options + recommended
## Output
Write: ${sessionFolder}/exploration-${angle}.json
Return: 2-3 sentence summary of ${angle} findings
`
)
);
// 2.3 Generate Manifest after all complete
const explorationFiles = bash(`find ${sessionFolder} -name "exploration-*.json" -type f`).split('\n').filter(f => f.trim());
const explorationManifest = {
session_id,
task_description,
timestamp: new Date().toISOString(),
complexity,
exploration_count: selectedAngles.length,
angles_explored: selectedAngles,
explorations: explorationFiles.map(file => {
const data = JSON.parse(Read(file));
return { angle: data._metadata.exploration_angle, file: file.split('/').pop(), path: file, index: data._metadata.exploration_index };
})
};
Write(`${sessionFolder}/explorations-manifest.json`, JSON.stringify(explorationManifest, null, 2));
```
### Step 3: Invoke Context-Search Agent
**Only execute after Step 2 completes**
```javascript
Task(
subagent_type="context-search-agent",
run_in_background=false,
description="Gather comprehensive context for plan",
prompt=`
You are executing as context-search-agent (.claude/agents/context-search-agent.md).
## Execution Mode
**PLAN MODE** (Comprehensive) - Full Phase 1-3 execution
@@ -67,17 +226,24 @@ You are executing as context-search-agent (.claude/agents/context-search-agent.m
- **Task Description**: ${task_description}
- **Output Path**: .workflow/${session_id}/.process/context-package.json
## Exploration Input (from Step 2)
- **Manifest**: ${sessionFolder}/explorations-manifest.json
- **Exploration Count**: ${explorationManifest.exploration_count}
- **Angles**: ${explorationManifest.angles_explored.join(', ')}
- **Complexity**: ${complexity}
## Mission
Execute complete context-search-agent workflow for implementation planning:
### Phase 1: Initialization & Pre-Analysis
1. **Project State Loading**: Read and parse `.workflow/project.json`. Use its `overview` section as the foundational `project_context`. This is your primary source for architecture, tech stack, and key components. If file doesn't exist, proceed with fresh analysis.
2. **Detection**: Check for existing context-package (early exit if valid)
3. **Foundation**: Initialize code-index, get project structure, load docs
3. **Foundation**: Initialize CodexLens, get project structure, load docs
4. **Analysis**: Extract keywords, determine scope, classify complexity based on task description and project state
### Phase 2: Multi-Source Context Discovery
Execute all 4 discovery tracks:
Execute all discovery tracks:
- **Track 0**: Exploration Synthesis (load ${sessionFolder}/explorations-manifest.json, prioritize critical_files, deduplicate patterns/integration_points)
- **Track 1**: Historical archive analysis (query manifest.json for lessons learned)
- **Track 2**: Reference documentation (CLAUDE.md, architecture docs)
- **Track 3**: Web examples (use Exa MCP for unfamiliar tech/APIs)
@@ -86,7 +252,7 @@ Execute all 4 discovery tracks:
### Phase 3: Synthesis, Assessment & Packaging
1. Apply relevance scoring and build dependency graph
2. **Synthesize 4-source data**: Merge findings from all sources (archive > docs > code > web). **Prioritize the context from `project.json`** for architecture and tech stack unless code analysis reveals it's outdated.
3. **Populate `project_context`**: Directly use the `overview` from `project.json` to fill the `project_context` section of the output `context-package.json`. Include technology_stack, architecture, key_components, and entry_points.
3. **Populate `project_context`**: Directly use the `overview` from `project.json` to fill the `project_context` section of the output `context-package.json`. Include description, technology_stack, architecture, and key_components.
4. Integrate brainstorm artifacts (if .brainstorming/ exists, read content)
5. Perform conflict detection with risk assessment
6. **Inject historical conflicts** from archive analysis into conflict_detection
@@ -95,11 +261,12 @@ Execute all 4 discovery tracks:
## Output Requirements
Complete context-package.json with:
- **metadata**: task_description, keywords, complexity, tech_stack, session_id
- **project_context**: architecture_patterns, coding_conventions, tech_stack (sourced from `project.json` overview)
- **project_context**: description, technology_stack, architecture, key_components (sourced from `project.json` overview)
- **assets**: {documentation[], source_code[], config[], tests[]} with relevance scores
- **dependencies**: {internal[], external[]} with dependency graph
- **brainstorm_artifacts**: {guidance_specification, role_analyses[], synthesis_output} with content
- **conflict_detection**: {risk_level, risk_factors, affected_modules[], mitigation_strategy, historical_conflicts[]}
- **exploration_results**: {manifest_path, exploration_count, angles, explorations[], aggregated_insights} (from Track 0)
## Quality Validation
Before completion verify:
@@ -116,7 +283,7 @@ Report completion with statistics.
)
```
### Step 3: Output Verification
### Step 4: Output Verification
After agent completes, verify output:
@@ -126,6 +293,12 @@ const outputPath = `.workflow/${session_id}/.process/context-package.json`;
if (!file_exists(outputPath)) {
throw new Error("❌ Agent failed to generate context-package.json");
}
// Verify exploration_results included
const pkg = JSON.parse(Read(outputPath));
if (pkg.exploration_results?.exploration_count > 0) {
console.log(`✅ Exploration results aggregated: ${pkg.exploration_results.exploration_count} angles`);
}
```
## Parameter Reference
@@ -146,6 +319,7 @@ Refer to `context-search-agent.md` Phase 3.7 for complete `context-package.json`
- **dependencies**: Internal and external dependency graphs
- **brainstorm_artifacts**: Brainstorm documents with full content (if exists)
- **conflict_detection**: Risk assessment with mitigation strategies and historical conflicts
- **exploration_results**: Aggregated exploration insights (from parallel explore phase)
## Historical Archive Analysis
@@ -256,6 +430,5 @@ if (historicalConflicts.length > 0 && currentRisk === "low") {
- **Detection-first**: Always check for existing package before invoking agent
- **Project.json integration**: Agent reads `.workflow/project.json` as primary source for project context, avoiding redundant analysis
- **Agent autonomy**: Agent handles all discovery logic per `.claude/agents/context-search-agent.md`
- **No redundancy**: This command is a thin orchestrator, all logic in agent
- **Plan-specific**: Use this for implementation planning; brainstorm mode uses direct agent call

View File

@@ -1,258 +1,563 @@
---
name: task-generate-agent
description: Autonomous task generation using action-planning-agent with discovery and output phases for workflow planning
argument-hint: "--session WFS-session-id [--cli-execute]"
description: Generate implementation plan documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using action-planning-agent - produces planning artifacts, does NOT execute code implementation
argument-hint: "--session WFS-session-id"
examples:
- /workflow:tools:task-generate-agent --session WFS-auth
- /workflow:tools:task-generate-agent --session WFS-auth --cli-execute
---
# Autonomous Task Generation Command
# Generate Implementation Plan Command
## Overview
Autonomous task JSON and IMPL_PLAN.md generation using action-planning-agent with two-phase execution: discovery and document generation. Supports both agent-driven execution (default) and CLI tool execution modes.
Generate implementation planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) using action-planning-agent. This command produces **planning artifacts only** - it does NOT execute code implementation. Actual code implementation requires separate execution command (e.g., /workflow:execute).
## Core Philosophy
- **Agent-Driven**: Delegate execution to action-planning-agent for autonomous operation
- **Two-Phase Flow**: Discovery (context gathering) → Output (document generation)
- **Planning Only**: Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) - does NOT implement code
- **Agent-Driven Document Generation**: Delegate plan generation to action-planning-agent
- **N+1 Parallel Planning**: Auto-detect multi-module projects, enable parallel planning (2+1 or 3+1 mode)
- **Progressive Loading**: Load context incrementally (Core → Selective → On-Demand) due to analysis.md file size
- **Memory-First**: Reuse loaded documents from conversation memory
- **Smart Selection**: Load synthesis_output OR guidance + relevant role analyses, NOT all role analyses
- **MCP-Enhanced**: Use MCP tools for advanced code analysis and research
- **Pre-Selected Templates**: Command selects correct template based on `--cli-execute` flag **before** invoking agent
- **Agent Simplicity**: Agent receives pre-selected template and focuses only on content generation
- **Path Clarity**: All `focus_paths` prefer absolute paths (e.g., `D:\\project\\src\\module`), or clear relative paths from project root (e.g., `./src/module`)
## Execution Lifecycle
## Execution Process
### Phase 1: Discovery & Context Loading
**⚡ Memory-First Rule**: Skip file loading if documents already in conversation memory
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
**Agent Context Package**:
Phase 0: User Configuration (Interactive)
├─ Question 1: Supplementary materials/guidelines?
├─ Question 2: Execution method preference (Agent/CLI/Hybrid)
├─ Question 3: CLI tool preference (if CLI selected)
└─ Store: userConfig for agent prompt
Phase 1: Context Preparation & Module Detection (Command)
├─ Assemble session paths (metadata, context package, output dirs)
├─ Provide metadata (session_id, execution_mode, mcp_capabilities)
├─ Auto-detect modules from context-package + directory structure
└─ Decision:
├─ modules.length == 1 → Single Agent Mode (Phase 2A)
└─ modules.length >= 2 → Parallel Mode (Phase 2B + Phase 3)
Phase 2A: Single Agent Planning (Original Flow)
├─ Load context package (progressive loading strategy)
├─ Generate Task JSON Files (.task/IMPL-*.json)
├─ Create IMPL_PLAN.md
└─ Generate TODO_LIST.md
Phase 2B: N Parallel Planning (Multi-Module)
├─ Launch N action-planning-agents simultaneously (one per module)
├─ Each agent generates module-scoped tasks (IMPL-{prefix}{seq}.json)
├─ Task ID format: IMPL-A1, IMPL-A2... / IMPL-B1, IMPL-B2...
└─ Each module limited to ≤9 tasks
Phase 3: Integration (+1 Coordinator, Multi-Module Only)
├─ Collect all module task JSONs
├─ Resolve cross-module dependencies (CROSS::{module}::{pattern} → actual ID)
├─ Generate unified IMPL_PLAN.md (grouped by module)
└─ Generate TODO_LIST.md (hierarchical: module → tasks)
```
## Document Generation Lifecycle
### Phase 0: User Configuration (Interactive)
**Purpose**: Collect user preferences before task generation to ensure generated tasks match execution expectations.
**User Questions**:
```javascript
{
"session_id": "WFS-[session-id]",
"execution_mode": "agent-mode" | "cli-execute-mode", // Determined by flag
"task_json_template_path": "~/.claude/workflows/cli-templates/prompts/workflow/task-json-agent-mode.txt"
| "~/.claude/workflows/cli-templates/prompts/workflow/task-json-cli-mode.txt",
// Path selected by command based on --cli-execute flag, agent reads it
"session_metadata": {
// If in memory: use cached content
// Else: Load from .workflow/active//{session-id}/workflow-session.json
},
"brainstorm_artifacts": {
// Loaded from context-package.json → brainstorm_artifacts section
"role_analyses": [
{
"role": "system-architect",
"files": [{"path": "...", "type": "primary|supplementary"}]
}
],
"guidance_specification": {"path": "...", "exists": true},
"synthesis_output": {"path": "...", "exists": true},
"conflict_resolution": {"path": "...", "exists": true} // if conflict_risk >= medium
},
"context_package_path": ".workflow/active//{session-id}/.process/context-package.json",
"context_package": {
// If in memory: use cached content
// Else: Load from .workflow/active//{session-id}/.process/context-package.json
},
"mcp_capabilities": {
"code_index": true,
"exa_code": true,
"exa_web": true
}
AskUserQuestion({
questions: [
{
question: "Do you have supplementary materials or guidelines to include?",
header: "Materials",
multiSelect: false,
options: [
{ label: "No additional materials", description: "Use existing context only" },
{ label: "Provide file paths", description: "I'll specify paths to include" },
{ label: "Provide inline content", description: "I'll paste content directly" }
]
},
{
question: "Select execution method for generated tasks:",
header: "Execution",
multiSelect: false,
options: [
{ label: "Agent (Recommended)", description: "Claude agent executes tasks directly" },
{ label: "Hybrid", description: "Agent orchestrates, calls CLI for complex steps" },
{ label: "CLI Only", description: "All execution via CLI tools (codex/gemini/qwen)" }
]
},
{
question: "If using CLI, which tool do you prefer?",
header: "CLI Tool",
multiSelect: false,
options: [
{ label: "Codex (Recommended)", description: "Best for implementation tasks" },
{ label: "Gemini", description: "Best for analysis and large context" },
{ label: "Qwen", description: "Alternative analysis tool" },
{ label: "Auto", description: "Let agent decide per-task" }
]
}
]
})
```
**Handle Materials Response**:
```javascript
if (userConfig.materials === "Provide file paths") {
// Follow-up question for file paths
const pathsResponse = AskUserQuestion({
questions: [{
question: "Enter file paths to include (comma-separated or one per line):",
header: "Paths",
multiSelect: false,
options: [
{ label: "Enter paths", description: "Provide paths in text input" }
]
}]
})
userConfig.supplementaryPaths = parseUserPaths(pathsResponse)
}
```
**Discovery Actions**:
1. **Load Session Context** (if not in memory)
```javascript
if (!memory.has("workflow-session.json")) {
Read(.workflow/active//{session-id}/workflow-session.json)
}
```
2. **Load Context Package** (if not in memory)
```javascript
if (!memory.has("context-package.json")) {
Read(.workflow/active//{session-id}/.process/context-package.json)
}
```
3. **Extract & Load Role Analyses** (from context-package.json)
```javascript
// Extract role analysis paths from context package
const roleAnalysisPaths = contextPackage.brainstorm_artifacts.role_analyses
.flatMap(role => role.files.map(f => f.path));
// Load each role analysis file
roleAnalysisPaths.forEach(path => Read(path));
```
4. **Load Conflict Resolution** (from context-package.json, if exists)
```javascript
if (contextPackage.brainstorm_artifacts.conflict_resolution?.exists) {
Read(contextPackage.brainstorm_artifacts.conflict_resolution.path)
}
```
5. **Code Analysis with Native Tools** (optional - enhance understanding)
```bash
# Find relevant files for task context
find . -name "*auth*" -type f
rg "authentication|oauth" -g "*.ts"
```
6. **MCP External Research** (optional - gather best practices)
```javascript
// Get external examples for implementation
mcp__exa__get_code_context_exa(
query="TypeScript JWT authentication best practices",
tokensNum="dynamic"
)
```
### Phase 2: Agent Execution (Document Generation)
**Pre-Agent Template Selection** (Command decides path before invoking agent):
**Build userConfig**:
```javascript
// Command checks flag and selects template PATH (not content)
const templatePath = hasCliExecuteFlag
? "~/.claude/workflows/cli-templates/prompts/workflow/task-json-cli-mode.txt"
: "~/.claude/workflows/cli-templates/prompts/workflow/task-json-agent-mode.txt";
const userConfig = {
supplementaryMaterials: {
type: "none|paths|inline",
content: [...], // Parsed paths or inline content
},
executionMethod: "agent|hybrid|cli",
preferredCliTool: "codex|gemini|qwen|auto",
enableResume: true // Always enable resume for CLI executions
}
```
**Pass to Agent**: Include `userConfig` in agent prompt for Phase 2A/2B.
### Phase 1: Context Preparation & Module Detection (Command Responsibility)
**Command prepares session paths, metadata, and detects module structure.**
**Session Path Structure**:
```
.workflow/active/WFS-{session-id}/
├── workflow-session.json # Session metadata
├── .process/
│ └── context-package.json # Context package with artifact catalog
├── .task/ # Output: Task JSON files
│ ├── IMPL-A1.json # Multi-module: prefixed by module
│ ├── IMPL-A2.json
│ ├── IMPL-B1.json
│ └── ...
├── IMPL_PLAN.md # Output: Implementation plan (grouped by module)
└── TODO_LIST.md # Output: TODO list (hierarchical)
```
**Command Preparation**:
1. **Assemble Session Paths** for agent prompt:
- `session_metadata_path`
- `context_package_path`
- Output directory paths
2. **Provide Metadata** (simple values):
- `session_id`
- `mcp_capabilities` (available MCP tools)
3. **Auto Module Detection** (determines single vs parallel mode):
```javascript
function autoDetectModules(contextPackage, projectRoot) {
// === Complexity Gate: Only parallelize for High complexity ===
const complexity = contextPackage.metadata?.complexity || 'Medium';
if (complexity !== 'High') {
// Force single agent mode for Low/Medium complexity
// This maximizes agent context reuse for related tasks
return [{ name: 'main', prefix: '', paths: ['.'] }];
}
// Priority 1: Explicit frontend/backend separation
if (exists('src/frontend') && exists('src/backend')) {
return [
{ name: 'frontend', prefix: 'A', paths: ['src/frontend'] },
{ name: 'backend', prefix: 'B', paths: ['src/backend'] }
];
}
// Priority 2: Monorepo structure
if (exists('packages/*') || exists('apps/*')) {
return detectMonorepoModules(); // Returns 2-3 main packages
}
// Priority 3: Context-package dependency clustering
const modules = clusterByDependencies(contextPackage.dependencies?.internal);
if (modules.length >= 2) return modules.slice(0, 3);
// Default: Single module (original flow)
return [{ name: 'main', prefix: '', paths: ['.'] }];
}
```
**Decision Logic**:
- `complexity !== 'High'` → Force Phase 2A (Single Agent, maximize context reuse)
- `modules.length == 1` → Phase 2A (Single Agent, original flow)
- `modules.length >= 2 && complexity == 'High'` → Phase 2B + Phase 3 (N+1 Parallel)
**Note**: CLI tool usage is now determined semantically by action-planning-agent based on user's task description, not by flags.
### Phase 2A: Single Agent Planning (Original Flow)
**Condition**: `modules.length == 1` (no multi-module detected)
**Purpose**: Generate IMPL_PLAN.md, task JSONs, and TODO_LIST.md - planning documents only, NOT code implementation.
**Agent Invocation**:
```javascript
Task(
subagent_type="action-planning-agent",
description="Generate task JSON and implementation plan",
run_in_background=false,
description="Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md)",
prompt=`
## Execution Context
## TASK OBJECTIVE
Generate implementation planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) for workflow session
**Session ID**: WFS-{session-id}
**Execution Mode**: {agent-mode | cli-execute-mode}
**Task JSON Template Path**: {template_path}
IMPORTANT: This is PLANNING ONLY - you are generating planning documents, NOT implementing code.
## Phase 1: Discovery Results (Provided Context)
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
### Session Metadata
{session_metadata_content}
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{session-id}/workflow-session.json
- Context Package: .workflow/active/{session-id}/.process/context-package.json
### Role Analyses (Enhanced by Synthesis)
{role_analyses_content}
- Includes requirements, design specs, enhancements, and clarifications from synthesis phase
Output:
- Task Dir: .workflow/active/{session-id}/.task/
- IMPL_PLAN: .workflow/active/{session-id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/{session-id}/TODO_LIST.md
### Artifacts Inventory
- **Guidance Specification**: {guidance_spec_path}
- **Role Analyses**: {role_analyses_list}
## CONTEXT METADATA
Session ID: {session-id}
MCP Capabilities: {exa_code, exa_web, code_index}
### Context Package
{context_package_summary}
- Includes conflict_risk assessment
## USER CONFIGURATION (from Phase 0)
Execution Method: ${userConfig.executionMethod} // agent|hybrid|cli
Preferred CLI Tool: ${userConfig.preferredCliTool} // codex|gemini|qwen|auto
Supplementary Materials: ${userConfig.supplementaryMaterials}
### Conflict Resolution (Conditional)
If conflict_risk was medium/high, modifications have been applied to:
- **guidance-specification.md**: Design decisions updated to resolve conflicts
- **Role analyses (*.md)**: Recommendations adjusted for compatibility
- **context-package.json**: Marked as "resolved" with conflict IDs
- NO separate CONFLICT_RESOLUTION.md file (conflicts resolved in-place)
## CLI TOOL SELECTION
Based on userConfig.executionMethod:
- "agent": No command field in implementation_approach steps
- "hybrid": Add command field to complex steps only (agent handles simple steps)
- "cli": Add command field to ALL implementation_approach steps
### MCP Analysis Results (Optional)
**Code Structure**: {mcp_code_index_results}
**External Research**: {mcp_exa_research_results}
CLI Resume Support (MANDATORY for all CLI commands):
- Use --resume parameter to continue from previous task execution
- Read previous task's cliExecutionId from session state
- Format: ccw cli -p "[prompt]" --resume ${previousCliId} --tool ${tool} --mode write
## Phase 2: Document Generation Task
## EXPLORATION CONTEXT (from context-package.exploration_results)
- Load exploration_results from context-package.json
- Use aggregated_insights.critical_files for focus_paths generation
- Apply aggregated_insights.constraints to acceptance criteria
- Reference aggregated_insights.all_patterns for implementation approach
- Use aggregated_insights.all_integration_points for precise modification locations
- Use conflict_indicators for risk-aware task sequencing
**Agent Configuration Reference**: All task generation rules, quantification requirements, quality standards, and execution details are defined in action-planning-agent.
## CONFLICT RESOLUTION CONTEXT (if exists)
- Check context-package.conflict_detection.resolution_file for conflict-resolution.json path
- If exists, load .process/conflict-resolution.json:
- Apply planning_constraints as task constraints (for brainstorm-less workflows)
- Reference resolved_conflicts for implementation approach alignment
- Handle custom_conflicts with explicit task notes
Refer to: @.claude/agents/action-planning-agent.md for:
- Task Decomposition Standards
- Quantification Requirements (MANDATORY)
- 5-Field Task JSON Schema
- IMPL_PLAN.md Structure
- TODO_LIST.md Format
- Execution Flow & Quality Validation
## EXPECTED DELIVERABLES
1. Task JSON Files (.task/IMPL-*.json)
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
- Quantified requirements with explicit counts
- Artifacts integration from context package
- **focus_paths enhanced with exploration critical_files**
- Flow control with pre_analysis steps (include exploration integration_points analysis)
- **CLI Execution IDs and strategies (MANDATORY)**
### Required Outputs Summary
2. Implementation Plan (IMPL_PLAN.md)
- Context analysis and artifact references
- Task breakdown and execution strategy
- Complete structure per agent definition
#### 1. Task JSON Files (.task/IMPL-*.json)
- **Location**: `.workflow/active//{session-id}/.task/`
- **Template**: Read from `{template_path}` (pre-selected by command based on `--cli-execute` flag)
- **Schema**: 5-field structure (id, title, status, meta, context, flow_control) with artifacts integration
- **Details**: See action-planning-agent.md § Task JSON Generation
3. TODO List (TODO_LIST.md)
- Hierarchical structure (containers, pending, completed markers)
- Links to task JSONs and summaries
- Matches task JSON hierarchy
#### 2. IMPL_PLAN.md
- **Location**: `.workflow/active//{session-id}/IMPL_PLAN.md`
- **Template**: `~/.claude/workflows/cli-templates/prompts/workflow/impl-plan-template.txt`
- **Details**: See action-planning-agent.md § Implementation Plan Creation
## CLI EXECUTION ID REQUIREMENTS (MANDATORY)
Each task JSON MUST include:
- **cli_execution_id**: Unique ID for CLI execution (format: `{session_id}-{task_id}`)
- **cli_execution**: Strategy object based on depends_on:
- No deps → `{ "strategy": "new" }`
- 1 dep (single child) → `{ "strategy": "resume", "resume_from": "parent-cli-id" }`
- 1 dep (multiple children) → `{ "strategy": "fork", "resume_from": "parent-cli-id" }`
- N deps → `{ "strategy": "merge_fork", "merge_from": ["id1", "id2", ...] }`
#### 3. TODO_LIST.md
- **Location**: `.workflow/active//{session-id}/TODO_LIST.md`
- **Format**: Hierarchical task list with status indicators (▸, [ ], [x]) and JSON links
- **Details**: See action-planning-agent.md § TODO List Generation
**CLI Execution Strategy Rules**:
1. **new**: Task has no dependencies - starts fresh CLI conversation
2. **resume**: Task has 1 parent AND that parent has only this child - continues same conversation
3. **fork**: Task has 1 parent BUT parent has multiple children - creates new branch with parent context
4. **merge_fork**: Task has multiple parents - merges all parent contexts into new conversation
### Agent Execution Summary
**Execution Command Patterns**:
- new: `ccw cli -p "[prompt]" --tool [tool] --mode write --id [cli_execution_id]`
- resume: `ccw cli -p "[prompt]" --resume [resume_from] --tool [tool] --mode write`
- fork: `ccw cli -p "[prompt]" --resume [resume_from] --id [cli_execution_id] --tool [tool] --mode write`
- merge_fork: `ccw cli -p "[prompt]" --resume [merge_from.join(',')] --id [cli_execution_id] --tool [tool] --mode write`
**Key Steps** (Detailed instructions in action-planning-agent.md):
1. Load task JSON template from provided path
2. Extract and decompose tasks with quantification
3. Generate task JSON files enforcing quantification requirements
4. Create IMPL_PLAN.md using template
5. Generate TODO_LIST.md matching task JSONs
6. Update session state
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 18 (hard limit - request re-scope if exceeded)
- All requirements quantified (explicit counts and enumerated lists)
- Acceptance criteria measurable (include verification commands)
- Artifact references mapped from context package
- All documents follow agent-defined structure
**Quality Gates** (Full checklist in action-planning-agent.md):
- ✓ Quantification requirements enforced (explicit counts, measurable acceptance, exact targets)
- Task count ≤10 (hard limit)
- ✓ Artifact references mapped correctly
- ✓ MCP tool integration added
- ✓ Documents follow template structure
## Output
Generate all three documents and report completion status:
- Task JSON files created: N files
- Artifacts integrated: synthesis-spec, guidance-specification, N role analyses
- MCP enhancements: code-index, exa-research
- Session ready for execution: /workflow:execute
## SUCCESS CRITERIA
- All planning documents generated successfully:
- Task JSONs valid and saved to .task/ directory
- IMPL_PLAN.md created with complete structure
- TODO_LIST.md generated matching task JSONs
- Return completion status with document count and task breakdown summary
`
)
```
### Phase 2B: N Parallel Planning (Multi-Module)
### Agent Context Passing
**Condition**: `modules.length >= 2` (multi-module detected)
**Memory-Aware Context Assembly**:
**Purpose**: Launch N action-planning-agents simultaneously, one per module, for parallel task JSON generation.
**Note**: Phase 2B agents generate Task JSONs ONLY. IMPL_PLAN.md and TODO_LIST.md are generated by Phase 3 Coordinator.
**Parallel Agent Invocation**:
```javascript
// Assemble context package for agent
const agentContext = {
session_id: "WFS-[id]",
// Launch N agents in parallel (one per module)
const planningTasks = modules.map(module =>
Task(
subagent_type="action-planning-agent",
run_in_background=false,
description=`Generate ${module.name} module task JSONs`,
prompt=`
## TASK OBJECTIVE
Generate task JSON files for ${module.name} module within workflow session
// Use memory if available, else load
session_metadata: memory.has("workflow-session.json")
? memory.get("workflow-session.json")
: Read(.workflow/active/WFS-[id]/workflow-session.json),
IMPORTANT: This is PLANNING ONLY - generate task JSONs, NOT implementing code.
IMPORTANT: Generate Task JSONs ONLY. IMPL_PLAN.md and TODO_LIST.md by Phase 3 Coordinator.
context_package_path: ".workflow/active/WFS-[id]/.process/context-package.json",
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
context_package: memory.has("context-package.json")
? memory.get("context-package.json")
: Read(".workflow/active/WFS-[id]/.process/context-package.json"),
## MODULE SCOPE
- Module: ${module.name} (${module.type})
- Focus Paths: ${module.paths.join(', ')}
- Task ID Prefix: IMPL-${module.prefix}
- Task Limit: ≤9 tasks (hard limit for this module)
- Other Modules: ${otherModules.join(', ')} (reference only, do NOT generate tasks for them)
// Extract brainstorm artifacts from context package
brainstorm_artifacts: extractBrainstormArtifacts(context_package),
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{session-id}/workflow-session.json
- Context Package: .workflow/active/{session-id}/.process/context-package.json
// Load role analyses using paths from context package
role_analyses: brainstorm_artifacts.role_analyses
.flatMap(role => role.files)
.map(file => Read(file.path)),
Output:
- Task Dir: .workflow/active/{session-id}/.task/
// Load conflict resolution if exists (from context package)
conflict_resolution: brainstorm_artifacts.conflict_resolution?.exists
? Read(brainstorm_artifacts.conflict_resolution.path)
: null,
## CONTEXT METADATA
Session ID: {session-id}
MCP Capabilities: {exa_code, exa_web, code_index}
// Optional MCP enhancements
mcp_analysis: executeMcpDiscovery()
## USER CONFIGURATION (from Phase 0)
Execution Method: ${userConfig.executionMethod} // agent|hybrid|cli
Preferred CLI Tool: ${userConfig.preferredCliTool} // codex|gemini|qwen|auto
Supplementary Materials: ${userConfig.supplementaryMaterials}
## CLI TOOL SELECTION
Based on userConfig.executionMethod:
- "agent": No command field in implementation_approach steps
- "hybrid": Add command field to complex steps only (agent handles simple steps)
- "cli": Add command field to ALL implementation_approach steps
CLI Resume Support (MANDATORY for all CLI commands):
- Use --resume parameter to continue from previous task execution
- Read previous task's cliExecutionId from session state
- Format: ccw cli -p "[prompt]" --resume ${previousCliId} --tool ${tool} --mode write
## EXPLORATION CONTEXT (from context-package.exploration_results)
- Load exploration_results from context-package.json
- Filter for ${module.name} module: Use aggregated_insights.critical_files matching ${module.paths.join(', ')}
- Apply module-relevant constraints from aggregated_insights.constraints
- Reference aggregated_insights.all_patterns applicable to ${module.name}
- Use aggregated_insights.all_integration_points for precise modification locations within module scope
- Use conflict_indicators for risk-aware task sequencing
## CONFLICT RESOLUTION CONTEXT (if exists)
- Check context-package.conflict_detection.resolution_file for conflict-resolution.json path
- If exists, load .process/conflict-resolution.json:
- Apply planning_constraints relevant to ${module.name} as task constraints
- Reference resolved_conflicts affecting ${module.name} for implementation approach alignment
- Handle custom_conflicts with explicit task notes
## CROSS-MODULE DEPENDENCIES
- For dependencies ON other modules: Use placeholder depends_on: ["CROSS::{module}::{pattern}"]
- Example: depends_on: ["CROSS::B::api-endpoint"] (this module depends on B's api-endpoint task)
- Phase 3 Coordinator resolves to actual task IDs
- For dependencies FROM other modules: Document in task context as "provides_for" annotation
## EXPECTED DELIVERABLES
Task JSON Files (.task/IMPL-${module.prefix}*.json):
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
- Task ID format: IMPL-${module.prefix}1, IMPL-${module.prefix}2, ...
- Quantified requirements with explicit counts
- Artifacts integration from context package (filtered for ${module.name})
- **focus_paths enhanced with exploration critical_files (module-scoped)**
- Flow control with pre_analysis steps (include exploration integration_points analysis)
- **CLI Execution IDs and strategies (MANDATORY)**
- Focus ONLY on ${module.name} module scope
## CLI EXECUTION ID REQUIREMENTS (MANDATORY)
Each task JSON MUST include:
- **cli_execution_id**: Unique ID for CLI execution (format: `{session_id}-IMPL-${module.prefix}{seq}`)
- **cli_execution**: Strategy object based on depends_on:
- No deps → `{ "strategy": "new" }`
- 1 dep (single child) → `{ "strategy": "resume", "resume_from": "parent-cli-id" }`
- 1 dep (multiple children) → `{ "strategy": "fork", "resume_from": "parent-cli-id" }`
- N deps → `{ "strategy": "merge_fork", "merge_from": ["id1", "id2", ...] }`
- Cross-module dep → `{ "strategy": "cross_module_fork", "resume_from": "CROSS::{module}::{pattern}" }`
**CLI Execution Strategy Rules**:
1. **new**: Task has no dependencies - starts fresh CLI conversation
2. **resume**: Task has 1 parent AND that parent has only this child - continues same conversation
3. **fork**: Task has 1 parent BUT parent has multiple children - creates new branch with parent context
4. **merge_fork**: Task has multiple parents - merges all parent contexts into new conversation
5. **cross_module_fork**: Task depends on task from another module - Phase 3 resolves placeholder
**Execution Command Patterns**:
- new: `ccw cli -p "[prompt]" --tool [tool] --mode write --id [cli_execution_id]`
- resume: `ccw cli -p "[prompt]" --resume [resume_from] --tool [tool] --mode write`
- fork: `ccw cli -p "[prompt]" --resume [resume_from] --id [cli_execution_id] --tool [tool] --mode write`
- merge_fork: `ccw cli -p "[prompt]" --resume [merge_from.join(',')] --id [cli_execution_id] --tool [tool] --mode write`
- cross_module_fork: (Phase 3 resolves placeholder, then uses fork pattern)
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 9 for this module (hard limit - coordinate with Phase 3 if exceeded)
- All requirements quantified (explicit counts and enumerated lists)
- Acceptance criteria measurable (include verification commands)
- Artifact references mapped from context package (module-scoped filter)
- Focus paths use absolute paths or clear relative paths from project root
- Cross-module dependencies use CROSS:: placeholder format
## SUCCESS CRITERIA
- Task JSONs saved to .task/ with IMPL-${module.prefix}* naming
- All task JSONs include cli_execution_id and cli_execution strategy
- Cross-module dependencies use CROSS:: placeholder format consistently
- Focus paths scoped to ${module.paths.join(', ')} only
- Return: task count, task IDs, dependency summary (internal + cross-module)
`
)
);
// Execute all in parallel
await Promise.all(planningTasks);
```
**Output Structure** (direct to .task/):
```
.task/
├── IMPL-A1.json # Module A (e.g., frontend)
├── IMPL-A2.json
├── IMPL-B1.json # Module B (e.g., backend)
├── IMPL-B2.json
└── IMPL-C1.json # Module C (e.g., shared)
```
**Task ID Naming**:
- Format: `IMPL-{prefix}{seq}.json`
- Prefix: A, B, C... (assigned by detection order)
- Sequence: 1, 2, 3... (per-module increment)
### Phase 3: Integration (+1 Coordinator Agent, Multi-Module Only)
**Condition**: Only executed when `modules.length >= 2`
**Purpose**: Collect all module tasks, resolve cross-module dependencies, generate unified IMPL_PLAN.md and TODO_LIST.md documents.
**Coordinator Agent Invocation**:
```javascript
// Wait for all Phase 2B agents to complete
const moduleResults = await Promise.all(planningTasks);
// Launch +1 Coordinator Agent
Task(
subagent_type="action-planning-agent",
run_in_background=false,
description="Integrate module tasks and generate unified documents",
prompt=`
## TASK OBJECTIVE
Integrate all module task JSONs, resolve cross-module dependencies, and generate unified IMPL_PLAN.md and TODO_LIST.md
IMPORTANT: This is INTEGRATION ONLY - consolidate existing task JSONs, NOT creating new tasks.
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{session-id}/workflow-session.json
- Context Package: .workflow/active/{session-id}/.process/context-package.json
- Task JSONs: .workflow/active/{session-id}/.task/IMPL-*.json (from Phase 2B)
Output:
- Updated Task JSONs: .workflow/active/{session-id}/.task/IMPL-*.json (resolved dependencies)
- IMPL_PLAN: .workflow/active/{session-id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/{session-id}/TODO_LIST.md
## CONTEXT METADATA
Session ID: {session-id}
Modules: ${modules.map(m => m.name + '(' + m.prefix + ')').join(', ')}
Module Count: ${modules.length}
## INTEGRATION STEPS
1. Collect all .task/IMPL-*.json, group by module prefix
2. Resolve CROSS:: dependencies → actual task IDs, update task JSONs
3. Generate IMPL_PLAN.md (multi-module format per agent specification)
4. Generate TODO_LIST.md (hierarchical format per agent specification)
## CROSS-MODULE DEPENDENCY RESOLUTION
- Pattern: CROSS::{module}::{pattern} → IMPL-{module}* matching title/context
- Example: CROSS::B::api-endpoint → IMPL-B1 (if B1 title contains "api-endpoint")
- Log unresolved as warnings
## EXPECTED DELIVERABLES
1. Updated Task JSONs with resolved dependency IDs
2. IMPL_PLAN.md - multi-module format with cross-dependency section
3. TODO_LIST.md - hierarchical by module with cross-dependency section
## SUCCESS CRITERIA
- No CROSS:: placeholders remaining in task JSONs
- IMPL_PLAN.md and TODO_LIST.md generated with multi-module structure
- Return: task count, per-module breakdown, resolved dependency count
`
)
```
**Dependency Resolution Algorithm**:
```javascript
function resolveCrossModuleDependency(placeholder, allTasks) {
const [, targetModule, pattern] = placeholder.match(/CROSS::(\w+)::(.+)/);
const candidates = allTasks.filter(t =>
t.id.startsWith(`IMPL-${targetModule}`) &&
(t.title.toLowerCase().includes(pattern.toLowerCase()) ||
t.context?.description?.toLowerCase().includes(pattern.toLowerCase()))
);
return candidates.length > 0
? candidates.sort((a, b) => a.id.localeCompare(b.id))[0].id
: placeholder; // Keep for manual resolution
}
```

View File

@@ -1,24 +1,23 @@
---
name: task-generate-tdd
description: Autonomous TDD task generation using action-planning-agent with Red-Green-Refactor cycles, test-first structure, and cycle validation
argument-hint: "--session WFS-session-id [--cli-execute]"
argument-hint: "--session WFS-session-id"
examples:
- /workflow:tools:task-generate-tdd --session WFS-auth
- /workflow:tools:task-generate-tdd --session WFS-auth --cli-execute
---
# Autonomous TDD Task Generation Command
## Overview
Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent with two-phase execution: discovery and document generation. Supports both agent-driven execution (default) and CLI tool execution modes. Generates complete Red-Green-Refactor cycles contained within each task.
Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent with two-phase execution: discovery and document generation. Generates complete Red-Green-Refactor cycles contained within each task.
## Core Philosophy
- **Agent-Driven**: Delegate execution to action-planning-agent for autonomous operation
- **Two-Phase Flow**: Discovery (context gathering) → Output (document generation)
- **Memory-First**: Reuse loaded documents from conversation memory
- **MCP-Enhanced**: Use MCP tools for advanced code analysis and research
- **Pre-Selected Templates**: Command selects correct TDD template based on `--cli-execute` flag **before** invoking agent
- **Agent Simplicity**: Agent receives pre-selected template and focuses only on content generation
- **Semantic CLI Selection**: CLI tool usage determined from user's task description, not flags
- **Agent Simplicity**: Agent generates content with semantic CLI detection
- **Path Clarity**: All `focus_paths` prefer absolute paths (e.g., `D:\\project\\src\\module`), or clear relative paths from project root (e.g., `./src/module`)
- **TDD-First**: Every feature starts with a failing test (Red phase)
- **Feature-Complete Tasks**: Each task contains complete Red-Green-Refactor cycle
@@ -30,11 +29,6 @@ Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent
- **1 feature = 1 task** containing complete TDD cycle internally
- Each task executes Red-Green-Refactor phases sequentially
- Task count = Feature count (typically 5 features = 5 tasks)
- **Benefits**:
- 70% reduction in task management overhead
- Continuous context per feature (no switching between TEST/IMPL/REFACTOR)
- Simpler dependency management
- Maintains TDD rigor through internal phase structure
**Previous Approach** (Deprecated):
- 1 feature = 3 separate tasks (TEST-N.M, IMPL-N.M, REFACTOR-N.M)
@@ -48,16 +42,40 @@ Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent
- Different tech stacks or domains within feature
### Task Limits
- **Maximum 10 tasks** (hard limit for TDD workflows)
- **Maximum 18 tasks** (hard limit for TDD workflows)
- **Feature-based**: Complete functional units with internal TDD cycles
- **Hierarchy**: Flat (≤5 simple features) | Two-level (6-10 for complex features with sub-features)
- **Re-scope**: If >10 tasks needed, break project into multiple TDD workflow sessions
- **Re-scope**: If >18 tasks needed, break project into multiple TDD workflow sessions
### TDD Cycle Mapping
- **Old approach**: 1 feature = 3 tasks (TEST-N.M, IMPL-N.M, REFACTOR-N.M)
- **Current approach**: 1 feature = 1 task (IMPL-N with internal Red-Green-Refactor phases)
- **Complex features**: 1 container (IMPL-N) + subtasks (IMPL-N.M) when necessary
## Execution Process
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
Phase 1: Discovery & Context Loading (Memory-First)
├─ Load session context (if not in memory)
├─ Load context package (if not in memory)
├─ Load test context package (if not in memory)
├─ Extract & load role analyses from context package
├─ Load conflict resolution (if exists)
└─ Optional: MCP external research
Phase 2: Agent Execution (Document Generation)
├─ Pre-agent template selection (semantic CLI detection)
├─ Invoke action-planning-agent
├─ Generate TDD Task JSON Files (.task/IMPL-*.json)
│ └─ Each task: complete Red-Green-Refactor cycle internally
├─ Create IMPL_PLAN.md (TDD variant)
└─ Generate TODO_LIST.md with TDD phase indicators
```
## Execution Lifecycle
### Phase 1: Discovery & Context Loading
@@ -67,11 +85,8 @@ Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent
```javascript
{
"session_id": "WFS-[session-id]",
"execution_mode": "agent-mode" | "cli-execute-mode", // Determined by flag
"task_json_template_path": "~/.claude/workflows/cli-templates/prompts/workflow/task-json-agent-mode.txt"
| "~/.claude/workflows/cli-templates/prompts/workflow/task-json-cli-mode.txt",
// Path selected by command based on --cli-execute flag, agent reads it
"workflow_type": "tdd",
// Note: CLI tool usage is determined semantically by action-planning-agent based on user's task description
"session_metadata": {
// If in memory: use cached content
// Else: Load from .workflow/active//{session-id}/workflow-session.json
@@ -98,7 +113,7 @@ Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent
// Existing test patterns and coverage analysis
},
"mcp_capabilities": {
"code_index": true,
"codex_lens": true,
"exa_code": true,
"exa_web": true
}
@@ -137,9 +152,14 @@ Autonomous TDD task JSON and IMPL_PLAN.md generation using action-planning-agent
roleAnalysisPaths.forEach(path => Read(path));
```
5. **Load Conflict Resolution** (from context-package.json, if exists)
5. **Load Conflict Resolution** (from conflict-resolution.json, if exists)
```javascript
if (contextPackage.brainstorm_artifacts.conflict_resolution?.exists) {
// Check for new conflict-resolution.json format
if (contextPackage.conflict_detection?.resolution_file) {
Read(contextPackage.conflict_detection.resolution_file) // .process/conflict-resolution.json
}
// Fallback: legacy brainstorm_artifacts path
else if (contextPackage.brainstorm_artifacts?.conflict_resolution?.exists) {
Read(contextPackage.brainstorm_artifacts.conflict_resolution.path)
}
```
@@ -174,14 +194,14 @@ const templatePath = hasCliExecuteFlag
```javascript
Task(
subagent_type="action-planning-agent",
run_in_background=false,
description="Generate TDD task JSON and implementation plan",
prompt=`
## Execution Context
**Session ID**: WFS-{session-id}
**Workflow Type**: TDD
**Execution Mode**: {agent-mode | cli-execute-mode}
**Task JSON Template Path**: {template_path}
**Note**: CLI tool usage is determined semantically from user's task description
## Phase 1: Discovery Results (Provided Context)
@@ -209,7 +229,7 @@ If conflict_risk was medium/high, modifications have been applied to:
- **guidance-specification.md**: Design decisions updated to resolve conflicts
- **Role analyses (*.md)**: Recommendations adjusted for compatibility
- **context-package.json**: Marked as "resolved" with conflict IDs
- NO separate CONFLICT_RESOLUTION.md file (conflicts resolved in-place)
- Conflict resolution results stored in conflict-resolution.json
### MCP Analysis Results (Optional)
**Code Structure**: {mcp_code_index_results}
@@ -219,15 +239,6 @@ If conflict_risk was medium/high, modifications have been applied to:
**Agent Configuration Reference**: All TDD task generation rules, quantification requirements, Red-Green-Refactor cycle structure, quality standards, and execution details are defined in action-planning-agent.
Refer to: @.claude/agents/action-planning-agent.md for:
- TDD Task Decomposition Standards
- Red-Green-Refactor Cycle Requirements
- Quantification Requirements (MANDATORY)
- 5-Field Task JSON Schema
- IMPL_PLAN.md Structure (TDD variant)
- TODO_LIST.md Format
- TDD Execution Flow & Quality Validation
### TDD-Specific Requirements Summary
#### Task Structure Philosophy
@@ -235,7 +246,7 @@ Refer to: @.claude/agents/action-planning-agent.md for:
- Each task executes Red-Green-Refactor phases sequentially
- Task count = Feature count (typically 5 features = 5 tasks)
- Subtasks only when complexity >2500 lines or >6 files per cycle
- **Maximum 10 tasks** (hard limit for TDD workflows)
- **Maximum 18 tasks** (hard limit for TDD workflows)
#### TDD Cycle Mapping
- **Simple features**: IMPL-N with internal Red-Green-Refactor phases
@@ -246,16 +257,15 @@ Refer to: @.claude/agents/action-planning-agent.md for:
##### 1. TDD Task JSON Files (.task/IMPL-*.json)
- **Location**: `.workflow/active//{session-id}/.task/`
- **Template**: Read from `{template_path}` (pre-selected by command based on `--cli-execute` flag)
- **Schema**: 5-field structure with TDD-specific metadata
- `meta.tdd_workflow`: true (REQUIRED)
- `meta.max_iterations`: 3 (Green phase test-fix cycle limit)
- `meta.use_codex`: false (manual fixes by default)
- `context.tdd_cycles`: Array with quantified test cases and coverage
- `flow_control.implementation_approach`: Exactly 3 steps with `tdd_phase` field
1. Red Phase (`tdd_phase: "red"`): Write failing tests
2. Green Phase (`tdd_phase: "green"`): Implement to pass tests
3. Refactor Phase (`tdd_phase: "refactor"`): Improve code quality
- CLI tool usage determined semantically (add `command` field when user requests CLI execution)
- **Details**: See action-planning-agent.md § TDD Task JSON Generation
##### 2. IMPL_PLAN.md (TDD Variant)
@@ -305,7 +315,7 @@ Refer to: @.claude/agents/action-planning-agent.md for:
**Quality Gates** (Full checklist in action-planning-agent.md):
- ✓ Quantification requirements enforced (explicit counts, measurable acceptance, exact targets)
- ✓ Task count ≤10 (hard limit)
- ✓ Task count ≤18 (hard limit)
- ✓ Each task has meta.tdd_workflow: true
- ✓ Each task has exactly 3 implementation steps with tdd_phase field
- ✓ Green phase includes test-fix cycle logic
@@ -320,7 +330,7 @@ Generate all three documents and report completion status:
- TDD cycles configured: N cycles with quantified test cases
- Artifacts integrated: synthesis-spec, guidance-specification, N role analyses
- Test context integrated: existing patterns and coverage
- MCP enhancements: code-index, exa-research
- MCP enhancements: CodexLens, exa-research
- Session ready for TDD execution: /workflow:execute
`
)
@@ -360,10 +370,12 @@ const agentContext = {
.flatMap(role => role.files)
.map(file => Read(file.path)),
// Load conflict resolution if exists (from context package)
conflict_resolution: brainstorm_artifacts.conflict_resolution?.exists
? Read(brainstorm_artifacts.conflict_resolution.path)
: null,
// Load conflict resolution if exists (prefer new JSON format)
conflict_resolution: context_package.conflict_detection?.resolution_file
? Read(context_package.conflict_detection.resolution_file) // .process/conflict-resolution.json
: (brainstorm_artifacts?.conflict_resolution?.exists
? Read(brainstorm_artifacts.conflict_resolution.path)
: null),
// Optional MCP enhancements
mcp_analysis: executeMcpDiscovery()
@@ -395,7 +407,7 @@ This section provides quick reference for TDD task JSON structure. For complete
│ ├── IMPL-3.2.json # Complex feature subtask (if needed)
│ └── ...
└── .process/
├── CONFLICT_RESOLUTION.md # Conflict resolution strategies (if conflict_risk ≥ medium)
├── conflict-resolution.json # Conflict resolution results (if conflict_risk ≥ medium)
├── test-context-package.json # Test coverage analysis
├── context-package.json # Input from context-gather
├── context_package_path # Path to smart context package
@@ -456,16 +468,14 @@ This section provides quick reference for TDD task JSON structure. For complete
**Basic Usage**:
```bash
# Agent mode (default, autonomous execution)
# Standard execution
/workflow:tools:task-generate-tdd --session WFS-auth
# CLI tool mode (use Gemini/Qwen for generation)
/workflow:tools:task-generate-tdd --session WFS-auth --cli-execute
# With semantic CLI request (include in task description)
# e.g., "Generate TDD tasks for auth module, use Codex for implementation"
```
**Execution Modes**:
- **Agent mode** (default): Uses `action-planning-agent` with agent-mode task template
- **CLI mode** (`--cli-execute`): Uses Gemini/Qwen with cli-mode task template
**CLI Tool Selection**: Determined semantically from user's task description. Include "use Codex/Gemini/Qwen" in your request for CLI execution.
**Output**:
- TDD task JSON files in `.task/` directory (IMPL-N.json format)
@@ -494,18 +504,14 @@ IMPL (Green phase) tasks include automatic test-fix cycle:
3. **Success Path**: Tests pass → Complete task
4. **Failure Path**: Tests fail → Enter iterative fix cycle:
- **Gemini Diagnosis**: Analyze failures with bug-fix template
- **Fix Application**: Manual (default) or Codex (if meta.use_codex=true)
- **Fix Application**: Agent (default) or CLI (if `command` field present)
- **Retest**: Verify fix resolves failures
- **Repeat**: Up to max_iterations (default: 3)
5. **Safety Net**: Auto-revert all changes if max iterations reached
**Key Benefits**:
- Faster feedback loop within Green phase
- Autonomous recovery from initial implementation errors
- Systematic debugging with Gemini's bug-fix template
- Safe rollback prevents broken TDD state
## Configuration Options
- **meta.max_iterations**: Number of fix attempts (default: 3 for TDD, 5 for test-gen)
- **meta.use_codex**: Enable Codex automated fixes (default: false, manual)
- **CLI tool usage**: Determined semantically from user's task description via `command` field in implementation_approach

View File

@@ -1,680 +0,0 @@
---
name: task-generate
description: Generate task JSON files and IMPL_PLAN.md from analysis results using action-planning-agent with artifact integration
argument-hint: "--session WFS-session-id [--cli-execute]"
examples:
- /workflow:tools:task-generate --session WFS-auth
- /workflow:tools:task-generate --session WFS-auth --cli-execute
---
# Task Generation Command
## 1. Overview
This command generates task JSON files and an `IMPL_PLAN.md` from brainstorming role analyses. It automatically detects and integrates all brainstorming artifacts (role-specific `analysis.md` files and `guidance-specification.md`), creating a structured and context-rich plan for implementation. The command supports two primary execution modes: a default agent-based mode for seamless context handling and a `--cli-execute` mode that leverages the Codex CLI for complex, autonomous development tasks. Its core function is to translate requirements and design specifications from role analyses into actionable, executable tasks, ensuring all necessary context, dependencies, and implementation steps are defined upfront.
## 2. Execution Modes
This command offers two distinct modes for task execution, providing flexibility for different implementation complexities.
### Agent Mode (Default)
In the default mode, each step in `implementation_approach` **omits the `command` field**. The agent interprets the step's `modification_points` and `logic_flow` to execute the task autonomously.
- **Step Structure**: Contains `step`, `title`, `description`, `modification_points`, `logic_flow`, `depends_on`, and `output` fields
- **Execution**: Agent reads these fields and performs the implementation autonomously
- **Context Loading**: Agent loads context via `pre_analysis` steps
- **Validation**: Agent validates against acceptance criteria in `context.acceptance`
- **Benefit**: Direct agent execution with full context awareness, no external tool overhead
- **Use Case**: Standard implementation tasks where agent capability is sufficient
### CLI Execute Mode (`--cli-execute`)
When the `--cli-execute` flag is used, each step in `implementation_approach` **includes a `command` field** that specifies the exact execution command. This mode is designed for complex implementations requiring specialized CLI tools.
- **Step Structure**: Includes all default fields PLUS a `command` field
- **Execution**: The specified command executes the step directly (e.g., `bash(codex ...)`)
- **Context Packages**: Each command receives context via the CONTEXT field in the prompt
- **Multi-Step Support**: Complex tasks can have multiple sequential codex steps with `resume --last`
- **Benefit**: Leverages specialized CLI tools (codex/gemini/qwen) for complex reasoning and autonomous execution
- **Use Case**: Large-scale features, complex refactoring, or when user explicitly requests CLI tool usage
## 3. Core Principles
This command is built on a set of core principles to ensure efficient and reliable task generation.
- **Role Analysis-Driven**: All generated tasks originate from role-specific `analysis.md` files (enhanced in synthesis phase), ensuring direct link between requirements/design and implementation
- **Artifact-Aware**: Automatically detects and integrates all brainstorming outputs (role analyses, guidance-specification.md, enhancements) to enrich task context
- **Context-Rich**: Embeds comprehensive context (requirements, focus paths, acceptance criteria, artifact references) directly into each task JSON
- **Path Clarity**: All `focus_paths` prefer absolute paths (e.g., `D:\\project\\src\\module`), or clear relative paths from project root (e.g., `./src/module`)
- **Flow-Control Ready**: Pre-defines clear execution sequence (`pre_analysis`, `implementation_approach`) within each task
- **Memory-First**: Prioritizes using documents already loaded in conversation memory to avoid redundant file operations
- **Mode-Flexible**: Supports both agent-driven execution (default) and CLI tool execution (with `--cli-execute` flag)
- **Multi-Step Support**: Complex tasks can use multiple sequential steps in `implementation_approach` with codex resume mechanism
- **Quantification-Enforced**: **NEW** - All requirements, acceptance criteria, and modification points MUST include explicit counts and enumerations to prevent ambiguity (e.g., "17 commands: [list]" not "implement commands")
- **Responsibility**: Parses analysis, detects artifacts, generates enhanced task JSONs, creates `IMPL_PLAN.md` and `TODO_LIST.md`, updates session state
## 3.5. Quantification Requirements (MANDATORY)
**Purpose**: Eliminate ambiguity by enforcing explicit counts and enumerations in all task specifications.
**Core Rules**:
1. **Extract Counts from Analysis**: Search for HOW MANY items and list them explicitly
2. **Enforce Explicit Lists**: Every deliverable uses format `{count} {type}: [{explicit_list}]`
3. **Make Acceptance Measurable**: Include verification commands (e.g., `ls ... | wc -l = N`)
4. **Quantify Modification Points**: Specify exact targets (files, functions with line numbers)
5. **Avoid Vague Language**: Replace "complete", "comprehensive", "reorganize" with quantified statements
**Standard Formats**:
- **Requirements**: `"Implement N items: [item1, item2, ...]"` or `"Modify N files: [file1:func:lines, ...]"`
- **Acceptance**: `"N items exist: verify by [command]"` or `"Coverage >= X%: verify by [test command]"`
- **Modification Points**: `"Create N files: [list]"` or `"Modify N functions: [func() in file lines X-Y]"`
**Validation Checklist**:
- [ ] Every requirement contains explicit count or enumerated list
- [ ] Every acceptance criterion is measurable with verification command
- [ ] Every modification_point specifies exact targets (files/functions/lines)
- [ ] No vague language ("complete", "comprehensive", "reorganize" without counts)
- [ ] Each implementation step has its own acceptance criteria
## 4. Execution Flow
The command follows a streamlined, three-step process to convert analysis into executable tasks.
### Step 1: Input & Discovery
The process begins by gathering all necessary inputs. It follows a **Memory-First Rule**, skipping file reads if documents are already in the conversation memory.
1. **Session Validation**: Loads and validates the session from `.workflow/active/{session_id}/workflow-session.json`.
2. **Context Package Loading** (primary source): Reads `.workflow/active/{session_id}/.process/context-package.json` for smart context and artifact catalog.
3. **Brainstorm Artifacts Extraction**: Extracts role analysis paths from `context-package.json``brainstorm_artifacts.role_analyses[]` (supports `analysis*.md` automatically).
4. **Document Loading**: Reads role analyses, guidance specification, synthesis output, and conflict resolution (if exists) using paths from context package.
### Step 2: Task Decomposition & Grouping
Once all inputs are loaded, the command analyzes the tasks defined in the analysis results and groups them based on shared context.
**Phase 2.1: Quantification Extraction (NEW - CRITICAL)**
1. **Count Extraction**: Scan analysis documents for quantifiable information:
- Search for numbers + nouns (e.g., "5 files", "17 commands", "3 features")
- Identify enumerated lists (bullet points, numbered lists, comma-separated items)
- Extract explicit counts from tables, diagrams, or structured data
- Store extracted counts with their context (what is being counted)
2. **List Enumeration**: Build explicit lists for each deliverable:
- If analysis says "implement session commands", enumerate ALL commands: [start, resume, list, complete, archive]
- If analysis mentions "create categories", list ALL categories: [literature, experiment, data-analysis, visualization, context]
- If analysis describes "modify functions", list ALL functions with line numbers
- Maintain full enumerations (no "..." unless list exceeds 20 items)
3. **Verification Method Assignment**: For each deliverable, determine verification approach:
- File count: `ls {path}/*.{ext} | wc -l = {count}`
- Directory existence: `ls {parent}/ | grep -E '(name1|name2|...)' | wc -l = {count}`
- Test coverage: `pytest --cov={module} --cov-report=term | grep TOTAL | awk '{print $4}' >= {percentage}`
- Function existence: `grep -E '(func1|func2|...)' {file} | wc -l = {count}`
4. **Ambiguity Detection**: Flag vague language for replacement:
- Detect words: "complete", "comprehensive", "reorganize", "refactor", "implement", "create" without counts
- Require quantification: "implement" → "implement {N} {items}: [{list}]"
- Reject unquantified deliverables
**Phase 2.2: Task Definition & Grouping**
1. **Task Definition Parsing**: Extracts task definitions, requirements, and dependencies from quantified analysis
2. **Context Signature Analysis**: Computes a unique hash (`context_signature`) for each task based on its `focus_paths` and referenced `artifacts`
3. **Task Grouping**:
* Tasks with the **same signature** are candidates for merging, as they operate on the same context
* Tasks with **different signatures** and no dependencies are grouped for parallel execution
* Tasks with `depends_on` relationships are marked for sequential execution
4. **Modification Target Determination**: Extracts specific code locations (`file:function:lines`) from the analysis to populate the `target_files` field
### Step 3: Output Generation
Finally, the command generates all the necessary output files.
1. **Task JSON Creation**: Creates individual `.task/IMPL-*.json` files, embedding all context, artifacts, and flow control steps. If `--cli-execute` is active, it generates the appropriate `codex exec` commands.
2. **IMPL_PLAN.md Generation**: Creates the main implementation plan document, summarizing the strategy, tasks, and dependencies.
3. **TODO_LIST.md Generation**: Creates a simple checklist for tracking task progress.
4. **Session State Update**: Updates `workflow-session.json` with the final task count and artifact inventory, marking the session as ready for execution.
## 5. Task Decomposition Strategy
The command employs a sophisticated strategy to group and decompose tasks, optimizing for context reuse and parallel execution.
### Core Principles
- **Primary Rule: Shared Context → Merge Tasks**: Tasks that operate on the same files, use the same artifacts, and share the same tech stack are merged. This avoids redundant context loading and recognizes inherent relationships between the tasks.
- **Secondary Rule: Different Contexts + No Dependencies → Decompose for Parallel Execution**: Tasks that are fully independent (different files, different artifacts, no shared dependencies) are decomposed into separate parallel execution groups.
### Context Analysis for Task Grouping
The decision to merge or decompose is based on analyzing context indicators:
1. **Shared Context Indicators (→ Merge)**:
* Identical `focus_paths` (working on the same modules/files).
* Same tech stack and dependencies.
* Identical `context.artifacts` references.
* A sequential logic flow within the same feature.
* Shared test fixtures or setup.
2. **Independent Context Indicators (→ Decompose)**:
* Different `focus_paths` (separate modules).
* Different tech stacks (e.g., frontend vs. backend).
* Different `context.artifacts` (using different brainstorming outputs).
* No shared dependencies.
* Can be tested independently.
**Decomposition is only performed when**:
- Tasks have different contexts and no shared dependencies (enabling parallel execution).
- A single task represents an excessive workload (e.g., >2500 lines of code or >6 files to modify).
- A sequential dependency creates a necessary block (e.g., IMPL-1 must complete before IMPL-2 can start).
### Context Signature Algorithm
To automate grouping, a `context_signature` is computed for each task.
```javascript
// Compute context signature for task grouping
function computeContextSignature(task) {
const focusPathsStr = task.context.focus_paths.sort().join('|');
const artifactsStr = task.context.artifacts.map(a => a.path).sort().join('|');
const techStack = task.context.shared_context?.tech_stack?.sort().join('|') || '';
return hash(`${focusPathsStr}:${artifactsStr}:${techStack}`);
}
```
### Execution Group Assignment
Tasks are assigned to execution groups based on their signatures and dependencies.
```javascript
// Group tasks by context signature
function groupTasksByContext(tasks) {
const groups = {};
tasks.forEach(task => {
const signature = computeContextSignature(task);
if (!groups[signature]) {
groups[signature] = [];
}
groups[signature].push(task);
});
return groups;
}
// Assign execution groups for parallel tasks
function assignExecutionGroups(tasks) {
const contextGroups = groupTasksByContext(tasks);
Object.entries(contextGroups).forEach(([signature, groupTasks]) => {
if (groupTasks.length === 1) {
const task = groupTasks[0];
// Single task with unique context
if (!task.context.depends_on || task.context.depends_on.length === 0) {
task.meta.execution_group = `parallel-${signature.slice(0, 8)}`;
} else {
task.meta.execution_group = null; // Sequential task
}
} else {
// Multiple tasks with same context → Should be merged
console.warn(`Tasks ${groupTasks.map(t => t.id).join(', ')} share context and should be merged`);
// Merge tasks into single task
return mergeTasks(groupTasks);
}
});
}
```
**Task Limits**:
- **Maximum 10 tasks** (hard limit).
- **Hierarchy**: Flat (≤5 tasks) or two-level (6-10 tasks). If >10, the scope should be re-evaluated.
- **Parallel Groups**: Tasks with the same `execution_group` ID are independent and can run concurrently.
## 6. Generated Outputs
The command produces three key documents and a directory of task files.
### 6.1. Task JSON Schema (`.task/IMPL-*.json`)
Each task JSON embeds all necessary context, artifacts, and execution steps using this schema:
**Top-Level Fields**:
- `id`: Task identifier (format: `IMPL-N` or `IMPL-N.M` for subtasks)
- `title`: Descriptive task name
- `status`: Task state (`pending|active|completed|blocked|container`)
- `context_package_path`: Path to context package (`.workflow/active/WFS-[session]/.process/context-package.json`)
- `meta`: Task metadata
- `context`: Task-specific context and requirements
- `flow_control`: Execution steps and workflow
**Meta Object**:
- `type`: Task category (`feature|bugfix|refactor|test-gen|test-fix|docs`)
- `agent`: Assigned agent (`@code-developer|@test-fix-agent|@universal-executor`)
- `execution_group`: Parallelization group ID or null
- `context_signature`: Hash for context-based grouping
**Context Object**:
- `requirements`: Quantified implementation requirements (with counts and explicit lists)
- `focus_paths`: Target directories/files (absolute or relative paths)
- `acceptance`: Measurable acceptance criteria (with verification commands)
- `parent`: Parent task ID for subtasks
- `depends_on`: Prerequisite task IDs
- `inherited`: Shared patterns and dependencies from parent
- `shared_context`: Tech stack and conventions
- `artifacts`: Referenced brainstorm artifacts with paths, priority, and usage
**Flow Control Object**:
- `pre_analysis`: Context loading and preparation steps
- `load_context_package`: Load smart context and artifact catalog
- `load_role_analysis_artifacts`: Load role analyses dynamically from context package
- `load_planning_context`: Load finalized decisions with resolved conflicts
- `codebase_exploration`: Discover existing patterns
- `analyze_task_patterns`: Identify modification targets
- `implementation_approach`: Execution steps
- **Agent Mode**: Steps contain `modification_points` and `logic_flow` (agent executes autonomously)
- **CLI Mode**: Steps include `command` field with CLI tool invocation
- `target_files`: Specific files/functions/lines to modify
**Key Characteristics**:
- **Quantification**: All requirements/acceptance use explicit counts and enumerations
- **Mode Flexibility**: Supports both agent execution (default) and CLI tool execution (`--cli-execute`)
- **Context Intelligence**: References context-package.json for smart context and artifact paths
- **Artifact Integration**: Dynamically loads role analyses and brainstorm artifacts
**Example Task JSON**:
```json
{
"id": "IMPL-1",
"title": "Implement feature X with Y components",
"status": "pending",
"context_package_path": ".workflow/active/WFS-session/.process/context-package.json",
"meta": {
"type": "feature",
"agent": "@code-developer",
"execution_group": "parallel-abc123",
"context_signature": "hash-value"
},
"context": {
"requirements": [
"Implement 5 commands: [cmd1, cmd2, cmd3, cmd4, cmd5]",
"Create 3 directories: [dir1/, dir2/, dir3/]",
"Modify 2 functions: [funcA() in file1.ts lines 10-25, funcB() in file2.ts lines 40-60]"
],
"focus_paths": ["D:\\project\\src\\module", "./tests/module"],
"acceptance": [
"5 command files created: verify by ls .claude/commands/*/*.md | wc -l = 5",
"3 directories exist: verify by ls -d dir*/ | wc -l = 3",
"All tests pass: pytest tests/ --cov=src/module (>=80% coverage)"
],
"depends_on": [],
"artifacts": [
{
"path": ".workflow/active/WFS-session/.brainstorming/system-architect/analysis.md",
"priority": "highest",
"usage": "Architecture decisions and API specifications"
}
]
},
"flow_control": {
"pre_analysis": [
{
"step": "load_context_package",
"action": "Load context package for artifact paths and smart context",
"commands": ["Read({{context_package_path}})"],
"output_to": "context_package",
"on_error": "fail"
},
{
"step": "load_role_analysis_artifacts",
"action": "Load role analyses from context-package.json",
"commands": [
"Read({{context_package_path}})",
"Extract(brainstorm_artifacts.role_analyses[].files[].path)",
"Read(each extracted path)"
],
"output_to": "role_analysis_artifacts",
"on_error": "skip_optional"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Implement feature following role analyses",
"description": "Implement feature X using requirements from role analyses and context package",
"modification_points": [
"Create 5 command files: [cmd1.md, cmd2.md, cmd3.md, cmd4.md, cmd5.md]",
"Modify funcA() in file1.ts lines 10-25: add validation logic",
"Modify funcB() in file2.ts lines 40-60: integrate with new API"
],
"logic_flow": [
"Load role analyses and context package",
"Extract requirements and design decisions",
"Implement commands following existing patterns",
"Update functions with new logic",
"Validate against acceptance criteria"
],
"depends_on": [],
"output": "implementation"
}
],
"target_files": ["file1.ts:funcA:10-25", "file2.ts:funcB:40-60"]
}
}
```
**Note**: In CLI Execute Mode (`--cli-execute`), `implementation_approach` steps include a `command` field with the CLI tool invocation (e.g., `bash(codex ...)`).
### 6.2. IMPL_PLAN.md Structure
This document provides a high-level overview of the entire implementation plan.
```markdown
---
identifier: WFS-{session-id}
source: "User requirements" | "File: path" | "Issue: ISS-001"
role_analyses: .workflow/active//{session-id}/.brainstorming/[role]/analysis*.md
artifacts: .workflow/active//{session-id}/.brainstorming/
context_package: .workflow/active//{session-id}/.process/context-package.json # CCW smart context
guidance_specification: .workflow/active//{session-id}/.brainstorming/guidance-specification.md # Finalized decisions with resolved conflicts
workflow_type: "standard | tdd | design" # Indicates execution model
verification_history: # CCW quality gates
synthesis_clarify: "passed | skipped | pending" # Brainstorm phase clarification
action_plan_verify: "pending"
conflict_resolution: "resolved | none | low" # Status from context-package.json
phase_progression: "brainstorm → synthesis → context → conflict_resolution (if needed) → planning" # CCW workflow phases
---
# Implementation Plan: {Project Title}
## 1. Summary
Core requirements, objectives, technical approach summary (2-3 paragraphs max).
**Core Objectives**:
- [Key objective 1]
- [Key objective 2]
**Technical Approach**:
- [High-level approach]
## 2. Context Analysis
### CCW Workflow Context
**Phase Progression**:
- ✅ Phase 1: Brainstorming (role analyses generated by participating roles)
- ✅ Phase 2: Synthesis (concept enhancement + clarification, {N} questions answered, role analyses refined)
- ✅ Phase 3: Context Gathering (context-package.json: {N} files, {M} modules analyzed, conflict_risk: {level})
- ✅ Phase 4: Conflict Resolution ({status}: {conflict_count} conflicts detected and resolved | skipped if no conflicts)
- ⏳ Phase 5: Task Generation (current phase - generating IMPL_PLAN.md and task JSONs)
**Quality Gates**:
- synthesis-clarify: ✅ Passed ({N} ambiguities resolved, {M} enhancements applied)
- action-plan-verify: ⏳ Pending (recommended before /workflow:execute)
**Context Package Summary**:
- **Focus Paths**: {list key directories from context-package.json}
- **Key Files**: {list primary files for modification}
- **Module Depth Analysis**: {from get_modules_by_depth.sh output}
- **Smart Context**: {total file count} files, {module count} modules, {dependency count} dependencies identified
### Project Profile
- **Type**: Greenfield/Enhancement/Refactor
- **Scale**: User count, data volume, complexity
- **Tech Stack**: Primary technologies
- **Timeline**: Duration and milestones
### Module Structure
'''
[Directory tree showing key modules]
'''
### Dependencies
**Primary**: [Core libraries and frameworks]
**APIs**: [External services]
**Development**: [Testing, linting, CI/CD tools]
### Patterns & Conventions
- **Architecture**: [Key patterns like DI, Event-Driven]
- **Component Design**: [Design patterns]
- **State Management**: [State strategy]
- **Code Style**: [Naming, TypeScript coverage]
## 3. Brainstorming Artifacts Reference
### Artifact Usage Strategy
**Primary Reference (Role Analyses)**:
- **What**: Role-specific analyses from brainstorming phase providing multi-perspective insights
- **When**: Every task references relevant role analyses for requirements and design decisions
- **How**: Extract requirements, architecture decisions, UI/UX patterns from applicable role documents
- **Priority**: Collective authoritative source - multiple role perspectives provide comprehensive coverage
- **CCW Value**: Maintains role-specific expertise while enabling cross-role integration during planning
**Context Intelligence (context-package.json)**:
- **What**: Smart context gathered by CCW's context-gather phase
- **Content**: Focus paths, dependency graph, existing patterns, module structure, tech stack, conflict_risk status
- **Usage**: Tasks load this via `flow_control.preparatory_steps` for environment setup and conflict awareness
- **CCW Value**: Automated intelligent context discovery replacing manual file exploration
**Conflict Resolution Status**:
- **What**: Conflict resolution applied in-place to brainstorm artifacts (if conflict_risk was >= medium)
- **Location**: guidance-specification.md and role analyses (*.md) contain resolved conflicts
- **Status**: Check context-package.json → conflict_detection.conflict_risk ("resolved" | "none" | "low")
- **Usage**: Read finalized decisions from guidance-specification.md (includes applied resolutions)
- **CCW Value**: Interactive conflict resolution with user confirmation, modifications applied automatically
### Role Analysis Documents (Highest Priority)
Role analyses provide specialized perspectives on the implementation:
- **system-architect/analysis.md**: Architecture design, ADRs, API specifications, caching strategies
- **ui-designer/analysis.md**: Design tokens, layout specifications, component patterns
- **ux-expert/analysis.md**: User journeys, interaction flows, accessibility requirements
- **guidance-specification/analysis.md**: Product vision, user stories, business requirements, success metrics
- **data-architect/analysis.md**: Data models, schemas, database design, migration strategies
- **api-designer/analysis.md**: API contracts, endpoint specifications, integration patterns
### Supporting Artifacts (Reference)
- **topic-framework.md**: Role-specific discussion points and analysis framework
**Artifact Priority in Development**:
1. {context_package_path} (primary source: smart context AND brainstorm artifact catalog in `brainstorm_artifacts` + conflict_risk status)
2. role/analysis*.md (paths from context-package.json: requirements, design specs, enhanced by synthesis, with resolved conflicts if any)
3. guidance-specification.md (path from context-package.json: finalized decisions with resolved conflicts if any)
## 4. Implementation Strategy
### Execution Strategy
**Execution Model**: [Sequential | Parallel | Phased | TDD Cycles]
**Rationale**: [Why this execution model fits the project]
**Parallelization Opportunities**:
- [List independent workstreams]
**Serialization Requirements**:
- [List critical dependencies]
### Architectural Approach
**Key Architecture Decisions**:
- [ADR references from role analyses]
- [Justification for architecture patterns]
**Integration Strategy**:
- [How modules communicate]
- [State management approach]
### Key Dependencies
**Task Dependency Graph**:
'''
[High-level dependency visualization]
'''
**Critical Path**: [Identify bottleneck tasks]
### Testing Strategy
**Testing Approach**:
- Unit testing: [Tools, scope]
- Integration testing: [Key integration points]
- E2E testing: [Critical user flows]
**Coverage Targets**:
- Lines: ≥70%
- Functions: ≥70%
- Branches: ≥65%
**Quality Gates**:
- [CI/CD gates]
- [Performance budgets]
## 5. Task Breakdown Summary
### Task Count
**{N} tasks** (flat hierarchy | two-level hierarchy, sequential | parallel execution)
### Task Structure
- **IMPL-1**: [Main task title]
- **IMPL-2**: [Main task title]
...
### Complexity Assessment
- **High**: [List with rationale]
- **Medium**: [List]
- **Low**: [List]
### Dependencies
[Reference Section 4.3 for dependency graph]
**Parallelization Opportunities**:
- [Specific task groups that can run in parallel]
## 6. Implementation Plan (Detailed Phased Breakdown)
### Execution Strategy
**Phase 1 (Weeks 1-2): [Phase Name]**
- **Tasks**: IMPL-1, IMPL-2
- **Deliverables**:
- [Specific deliverable 1]
- [Specific deliverable 2]
- **Success Criteria**:
- [Measurable criterion]
**Phase 2 (Weeks 3-N): [Phase Name]**
...
### Resource Requirements
**Development Team**:
- [Team composition and skills]
**External Dependencies**:
- [Third-party services, APIs]
**Infrastructure**:
- [Development, staging, production environments]
## 7. Risk Assessment & Mitigation
| Risk | Impact | Probability | Mitigation Strategy | Owner |
|------|--------|-------------|---------------------|-------|
| [Risk description] | High/Med/Low | High/Med/Low | [Strategy] | [Role] |
**Critical Risks** (High impact + High probability):
- [Risk 1]: [Detailed mitigation plan]
**Monitoring Strategy**:
- [How risks will be monitored]
## 8. Success Criteria
**Functional Completeness**:
- [ ] All requirements from role analysis documents implemented
- [ ] All acceptance criteria from task.json files met
**Technical Quality**:
- [ ] Test coverage ≥70%
- [ ] Bundle size within budget
- [ ] Performance targets met
**Operational Readiness**:
- [ ] CI/CD pipeline operational
- [ ] Monitoring and logging configured
- [ ] Documentation complete
**Business Metrics**:
- [ ] [Key business metrics from role analyses]
```
### 6.3. TODO_LIST.md Structure
A simple Markdown file for tracking the status of each task.
```markdown
# Tasks: [Session Topic]
## Task Progress
**IMPL-001**: [Main Task Group] → [📋](./.task/IMPL-001.json)
- [ ] **IMPL-001.1**: [Subtask] → [📋](./.task/IMPL-001.1.json)
- [x] **IMPL-001.2**: [Subtask] → [📋](./.task/IMPL-001.2.json) | [](./.summaries/IMPL-001.2-summary.md)
- [x] **IMPL-002**: [Simple Task] → [📋](./.task/IMPL-002.json) | [](./.summaries/IMPL-002-summary.md)
## Status Legend
- `▸` = Container task (has subtasks)
- `- [ ]` = Pending leaf task
- `- [x]` = Completed leaf task
- Maximum 2 levels: Main tasks and subtasks only
```
### 6.4. Output Files Diagram
The command organizes outputs into a standard directory structure.
```
.workflow/active//{session-id}/
├── IMPL_PLAN.md # Implementation plan
├── TODO_LIST.md # Progress tracking
├── .task/
│ ├── IMPL-1.json # Container task
│ ├── IMPL-1.1.json # Leaf task with flow_control
│ └── IMPL-1.2.json # Leaf task with flow_control
├── .brainstorming # Input artifacts from brainstorm + synthesis
│ ├── guidance-specification.md # Finalized decisions (with resolved conflicts if any)
│ └── {role}/analysis*.md # Role analyses (enhanced by synthesis, with resolved conflicts if any)
└── .process/
└── context-package.json # Input from context-gather (smart context + conflict_risk status)
```
## 7. Artifact Integration
The command intelligently detects and integrates artifacts from the `.brainstorming/` directory.
#### Artifact Priority
1. **context-package.json** (critical): Primary source - smart context AND all brainstorm artifact paths in `brainstorm_artifacts` section + conflict_risk status
2. **role/analysis*.md** (highest): Paths from context-package.json → role-specific requirements, design specs, enhanced by synthesis, with resolved conflicts applied in-place
3. **guidance-specification.md** (high): Path from context-package.json → finalized decisions with resolved conflicts (if conflict_risk was >= medium)
#### Artifact-Task Mapping
Artifacts are mapped to tasks based on their relevance to the task's domain.
- **Role analysis.md files**: Primary requirements source - all relevant role analyses included based on task type
- **ui-designer/analysis.md**: Mapped to UI/Frontend tasks for design tokens, layouts, components
- **system-architect/analysis.md**: Mapped to Architecture/Backend tasks for ADRs, APIs, patterns
- **subject-matter-expert/analysis.md**: Mapped to tasks related to domain logic or standards
- **data-architect/analysis.md**: Mapped to tasks involving data models, schemas, or APIs
- **product-manager/analysis.md**: Mapped to all tasks for business requirements and user stories
This ensures that each task has access to the most relevant and detailed specifications from role-specific analyses.
## 8. Error Handling
### Input Validation Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| Session not found | Invalid session ID | Verify session exists |
| Context missing | Incomplete planning | Run context-gather first |
| Invalid format | Corrupted results | Regenerate analysis |
### Task Generation Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| Count exceeds limit | >10 tasks | Re-scope requirements |
| Invalid structure | Missing fields | Fix analysis results |
| Dependency cycle | Circular refs | Adjust dependencies |
### Artifact Integration Errors
| Error | Cause | Recovery |
|-------|-------|----------|
| Artifact not found | Missing output | Continue without artifacts |
| Invalid format | Corrupted file | Skip artifact loading |
| Path invalid | Moved/deleted | Update references |
## 10. Usage & Related Commands
**Basic Usage**:
```bash
/workflow:tools:task-generate --session WFS-auth [--cli-execute]
```
**Workflow Integration**:
- Called by: `/workflow:plan` (task generation phase)
- Followed by: `/workflow:execute`, `/workflow:status`
**Related Commands**:
- `/workflow:plan` - Orchestrates entire planning workflow
- `/workflow:tools:context-gather` - Provides context package input
- `/workflow:tools:conflict-resolution` - Provides conflict resolution (if needed)
- `/workflow:execute` - Executes generated tasks

View File

@@ -17,6 +17,38 @@ Analyze test coverage and verify Red-Green-Refactor cycle execution for TDD work
- Verify TDD cycle execution (Red -> Green -> Refactor)
- Generate coverage and cycle reports
## Execution Process
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
Phase 1: Extract Test Tasks
└─ Find TEST-*.json files and extract focus_paths
Phase 2: Run Test Suite
└─ Decision (test framework):
├─ Node.js → npm test --coverage --json
├─ Python → pytest --cov --json-report
└─ Other → [test_command] --coverage --json
Phase 3: Parse Coverage Data
├─ Extract line coverage percentage
├─ Extract branch coverage percentage
├─ Extract function coverage percentage
└─ Identify uncovered lines/branches
Phase 4: Verify TDD Cycle
└─ FOR each TDD chain (TEST-N.M → IMPL-N.M → REFACTOR-N.M):
├─ Red Phase: Verify tests created and failed initially
├─ Green Phase: Verify tests now pass
└─ Refactor Phase: Verify code quality improved
Phase 5: Generate Analysis Report
└─ Create tdd-cycle-report.md with coverage metrics and cycle verification
```
## Execution Lifecycle
### Phase 1: Extract Test Tasks

View File

@@ -1,6 +1,6 @@
---
name: test-concept-enhanced
description: Analyze test requirements and generate test generation strategy using Gemini with test-context package
description: Coordinate test analysis workflow using cli-execution-agent to generate test strategy via Gemini
argument-hint: "--session WFS-test-session-id --context path/to/test-context-package.json"
examples:
- /workflow:tools:test-concept-enhanced --session WFS-test-auth --context .workflow/active/WFS-test-auth/.process/test-context-package.json
@@ -9,7 +9,7 @@ examples:
# Test Concept Enhanced Command
## Overview
Specialized analysis tool for test generation workflows that uses Gemini to analyze test coverage gaps, implementation context, and generate comprehensive test generation strategies.
Workflow coordinator that delegates test analysis to cli-execution-agent. Agent executes Gemini to analyze test coverage gaps, implementation context, and generate comprehensive test generation strategies.
## Core Philosophy
- **Coverage-Driven**: Focus on identified test gaps from context analysis
@@ -19,15 +19,39 @@ Specialized analysis tool for test generation workflows that uses Gemini to anal
- **No Code Generation**: Strategy and planning only, actual test generation happens in task execution
## Core Responsibilities
- Parse test-context-package.json from test-context-gather
- Analyze implementation summaries and coverage gaps
- Study existing test patterns and conventions
- Generate test generation strategy using Gemini
- Produce TEST_ANALYSIS_RESULTS.md for task generation
- Coordinate test analysis workflow using cli-execution-agent
- Validate test-context-package.json prerequisites
- Execute Gemini analysis via agent for test strategy generation
- Validate agent outputs (gemini-test-analysis.md, TEST_ANALYSIS_RESULTS.md)
## Execution Process
```
Input Parsing:
├─ Parse flags: --session, --context
└─ Validation: Both REQUIRED
Phase 1: Context Preparation (Command)
├─ Load workflow-session.json
├─ Verify test session type is "test-gen"
├─ Validate test-context-package.json
└─ Determine strategy (Simple: 1-3 files | Medium: 4-6 | Complex: >6)
Phase 2: Test Analysis Execution (Agent)
├─ Execute Gemini analysis via cli-execution-agent
└─ Generate TEST_ANALYSIS_RESULTS.md
Phase 3: Output Validation (Command)
├─ Verify gemini-test-analysis.md exists
├─ Validate TEST_ANALYSIS_RESULTS.md
└─ Confirm test requirements are actionable
```
## Execution Lifecycle
### Phase 1: Validation & Preparation
### Phase 1: Context Preparation (Command Responsibility)
**Command prepares session context and validates prerequisites.**
1. **Session Validation**
- Load `.workflow/active/{test_session_id}/workflow-session.json`
@@ -40,423 +64,101 @@ Specialized analysis tool for test generation workflows that uses Gemini to anal
- Extract coverage gaps and framework details
3. **Strategy Determination**
- **Simple Test Generation** (1-3 files): Single Gemini analysis
- **Medium Test Generation** (4-6 files): Gemini comprehensive analysis
- **Complex Test Generation** (>6 files): Gemini analysis with modular approach
- **Simple** (1-3 files): Single Gemini analysis
- **Medium** (4-6 files): Comprehensive analysis
- **Complex** (>6 files): Modular analysis approach
### Phase 2: Gemini Test Analysis
### Phase 2: Test Analysis Execution (Agent Responsibility)
**Tool Configuration**:
```bash
cd .workflow/active/{test_session_id}/.process && gemini -p "
PURPOSE: Analyze test coverage gaps and design comprehensive test generation strategy
TASK: Study implementation context, existing tests, and generate test requirements for missing coverage
MODE: analysis
CONTEXT: @{.workflow/active/{test_session_id}/.process/test-context-package.json}
**Purpose**: Analyze test coverage gaps and generate comprehensive test strategy.
**MANDATORY FIRST STEP**: Read and analyze test-context-package.json to understand:
- Test coverage gaps from test_coverage.missing_tests[]
- Implementation context from source_context.implementation_summaries[]
- Existing test patterns from test_framework.conventions
- Changed files requiring tests from source_context.implementation_summaries[].changed_files
**Agent Invocation**:
```javascript
Task(
subagent_type="cli-execution-agent",
run_in_background=false,
description="Analyze test coverage gaps and generate test strategy",
prompt=`
## TASK OBJECTIVE
Analyze test requirements and generate comprehensive test generation strategy using Gemini CLI
**ANALYSIS REQUIREMENTS**:
## EXECUTION CONTEXT
Session: {test_session_id}
Source Session: {source_session_id}
Working Dir: .workflow/active/{test_session_id}/.process
Template: ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.txt
1. **Implementation Understanding**
- Load all implementation summaries from source session
- Understand implemented features, APIs, and business logic
- Extract key functions, classes, and modules
- Identify integration points and dependencies
## EXECUTION STEPS
1. Execute Gemini analysis:
ccw cli -p "$(cat ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.txt)" --tool gemini --mode write --cd .workflow/active/{test_session_id}/.process
2. **Existing Test Pattern Analysis**
- Study existing test files for patterns and conventions
- Identify test structure (describe/it, test suites, fixtures)
- Analyze assertion patterns and mocking strategies
- Extract test setup/teardown patterns
2. Generate TEST_ANALYSIS_RESULTS.md:
Synthesize gemini-test-analysis.md into standardized format for task generation
Include: coverage assessment, test framework, test requirements, generation strategy, implementation targets
3. **Coverage Gap Assessment**
- For each file in missing_tests[], analyze:
- File purpose and functionality
- Public APIs requiring test coverage
- Critical paths and edge cases
- Integration points requiring tests
- Prioritize tests: high (core logic), medium (utilities), low (helpers)
## EXPECTED OUTPUTS
1. gemini-test-analysis.md - Raw Gemini analysis
2. TEST_ANALYSIS_RESULTS.md - Standardized test requirements document
4. **Test Requirements Specification**
- For each missing test file, specify:
- **Test scope**: What needs to be tested
- **Test scenarios**: Happy path, error cases, edge cases, integration
- **Test data**: Required fixtures, mocks, test data
- **Dependencies**: External services, databases, APIs to mock
- **Coverage targets**: Functions/methods requiring tests
5. **Test Generation Strategy**
- Determine test generation approach for each file
- Identify reusable test patterns from existing tests
- Plan test data and fixture requirements
- Define mocking strategy for dependencies
- Specify expected test file structure
EXPECTED OUTPUT - Write to gemini-test-analysis.md:
# Test Generation Analysis
## 1. Implementation Context Summary
- **Source Session**: {source_session_id}
- **Implemented Features**: {feature_summary}
- **Changed Files**: {list_of_implementation_files}
- **Tech Stack**: {technologies_used}
## 2. Test Coverage Assessment
- **Existing Tests**: {count} files
- **Missing Tests**: {count} files
- **Coverage Percentage**: {percentage}%
- **Priority Breakdown**:
- High Priority: {count} files (core business logic)
- Medium Priority: {count} files (utilities, helpers)
- Low Priority: {count} files (configuration, constants)
## 3. Existing Test Pattern Analysis
- **Test Framework**: {framework_name_and_version}
- **File Naming Convention**: {pattern}
- **Test Structure**: {describe_it_or_other}
- **Assertion Style**: {expect_assert_should}
- **Mocking Strategy**: {mocking_framework_and_patterns}
- **Setup/Teardown**: {beforeEach_afterEach_patterns}
- **Test Data**: {fixtures_factories_builders}
## 4. Test Requirements by File
### File: {implementation_file_path}
**Test File**: {suggested_test_file_path}
**Priority**: {high|medium|low}
#### Scope
- {description_of_what_needs_testing}
#### Test Scenarios
1. **Happy Path Tests**
- {scenario_1}
- {scenario_2}
2. **Error Handling Tests**
- {error_scenario_1}
- {error_scenario_2}
3. **Edge Case Tests**
- {edge_case_1}
- {edge_case_2}
4. **Integration Tests** (if applicable)
- {integration_scenario_1}
- {integration_scenario_2}
#### Test Data & Fixtures
- {required_test_data}
- {required_mocks}
- {required_fixtures}
#### Dependencies to Mock
- {external_service_1}
- {external_service_2}
#### Coverage Targets
- Function: {function_name} - {test_requirements}
- Function: {function_name} - {test_requirements}
---
[Repeat for each missing test file]
---
## 5. Test Generation Strategy
### Overall Approach
- {strategy_description}
### Test Generation Order
1. {file_1} - {rationale}
2. {file_2} - {rationale}
3. {file_3} - {rationale}
### Reusable Patterns
- {pattern_1_from_existing_tests}
- {pattern_2_from_existing_tests}
### Test Data Strategy
- {approach_to_test_data_and_fixtures}
### Mocking Strategy
- {approach_to_mocking_dependencies}
### Quality Criteria
- Code coverage target: {percentage}%
- Test scenarios per function: {count}
- Integration test coverage: {approach}
## 6. Implementation Targets
**Purpose**: Identify new test files to create
**Format**: New test files only (no existing files to modify)
**Test Files to Create**:
1. **Target**: `tests/auth/TokenValidator.test.ts`
- **Type**: Create new test file
- **Purpose**: Test TokenValidator class
- **Scenarios**: 15 test cases covering validation logic, error handling, edge cases
- **Dependencies**: Mock JWT library, test fixtures for tokens
2. **Target**: `tests/middleware/errorHandler.test.ts`
- **Type**: Create new test file
- **Purpose**: Test error handling middleware
- **Scenarios**: 8 test cases for different error types and response formats
- **Dependencies**: Mock Express req/res/next, error fixtures
[List all test files to create]
## 7. Success Metrics
- **Test Coverage Goal**: {target_percentage}%
- **Test Quality**: All scenarios covered (happy, error, edge, integration)
- **Convention Compliance**: Follow existing test patterns
- **Maintainability**: Clear test descriptions, reusable fixtures
RULES:
- Focus on TEST REQUIREMENTS and GENERATION STRATEGY, NOT code generation
- Study existing test patterns thoroughly for consistency
- Prioritize critical business logic tests
- Specify clear test scenarios and coverage targets
- Identify all dependencies requiring mocks
- **MUST write output to .workflow/active/{test_session_id}/.process/gemini-test-analysis.md**
- Do NOT generate actual test code or implementation
- Output ONLY test analysis and generation strategy
" --approval-mode yolo
## QUALITY VALIDATION
- Both output files exist and are complete
- All required sections present in TEST_ANALYSIS_RESULTS.md
- Test requirements are actionable and quantified
- Test scenarios cover happy path, errors, edge cases
- Dependencies and mocks clearly identified
`
)
```
**Output Location**: `.workflow/active/{test_session_id}/.process/gemini-test-analysis.md`
**Output Files**:
- `.workflow/active/{test_session_id}/.process/gemini-test-analysis.md`
- `.workflow/active/{test_session_id}/.process/TEST_ANALYSIS_RESULTS.md`
### Phase 3: Results Synthesis
### Phase 3: Output Validation (Command Responsibility)
1. **Output Validation**
- Verify `gemini-test-analysis.md` exists and is complete
- Validate all required sections present
- Check test requirements are actionable
**Command validates agent outputs.**
2. **Quality Assessment**
- Test scenarios cover happy path, errors, edge cases
- Dependencies and mocks clearly identified
- Test generation strategy is practical
- Coverage targets are reasonable
### Phase 4: TEST_ANALYSIS_RESULTS.md Generation
Synthesize Gemini analysis into standardized format:
```markdown
# Test Generation Analysis Results
## Executive Summary
- **Test Session**: {test_session_id}
- **Source Session**: {source_session_id}
- **Analysis Timestamp**: {timestamp}
- **Coverage Gap**: {missing_test_count} files require tests
- **Test Framework**: {framework}
- **Overall Strategy**: {high_level_approach}
---
## 1. Coverage Assessment
### Current Coverage
- **Existing Tests**: {count} files
- **Implementation Files**: {count} files
- **Coverage Percentage**: {percentage}%
### Missing Tests (Priority Order)
1. **High Priority** ({count} files)
- {file_1} - {reason}
- {file_2} - {reason}
2. **Medium Priority** ({count} files)
- {file_1} - {reason}
3. **Low Priority** ({count} files)
- {file_1} - {reason}
---
## 2. Test Framework & Conventions
### Framework Configuration
- **Framework**: {framework_name}
- **Version**: {version}
- **Test Pattern**: {file_pattern}
- **Test Directory**: {directory_structure}
### Conventions
- **File Naming**: {convention}
- **Test Structure**: {describe_it_blocks}
- **Assertions**: {assertion_library}
- **Mocking**: {mocking_framework}
- **Setup/Teardown**: {beforeEach_afterEach}
### Example Pattern (from existing tests)
```
{example_test_structure_from_analysis}
```
---
## 3. Test Requirements by File
[For each missing test, include:]
### Test File: {test_file_path}
**Implementation**: {implementation_file}
**Priority**: {high|medium|low}
**Estimated Test Count**: {count}
#### Test Scenarios
1. **Happy Path**: {scenarios}
2. **Error Handling**: {scenarios}
3. **Edge Cases**: {scenarios}
4. **Integration**: {scenarios}
#### Dependencies & Mocks
- {dependency_1_to_mock}
- {dependency_2_to_mock}
#### Test Data Requirements
- {fixture_1}
- {fixture_2}
---
## 4. Test Generation Strategy
### Generation Approach
{overall_strategy_description}
### Generation Order
1. {test_file_1} - {rationale}
2. {test_file_2} - {rationale}
3. {test_file_3} - {rationale}
### Reusable Components
- **Test Fixtures**: {common_fixtures}
- **Mock Patterns**: {common_mocks}
- **Helper Functions**: {test_helpers}
### Quality Targets
- **Coverage Goal**: {percentage}%
- **Scenarios per Function**: {min_count}
- **Integration Coverage**: {approach}
---
## 5. Implementation Targets
**Purpose**: New test files to create (code-developer will generate these)
**Test Files to Create**:
1. **Target**: `tests/auth/TokenValidator.test.ts`
- **Implementation Source**: `src/auth/TokenValidator.ts`
- **Test Scenarios**: 15 (validation, error handling, edge cases)
- **Dependencies**: Mock JWT library, token fixtures
- **Priority**: High
2. **Target**: `tests/middleware/errorHandler.test.ts`
- **Implementation Source**: `src/middleware/errorHandler.ts`
- **Test Scenarios**: 8 (error types, response formats)
- **Dependencies**: Mock Express, error fixtures
- **Priority**: High
[List all test files with full specifications]
---
## 6. Success Criteria
### Coverage Metrics
- Achieve {target_percentage}% code coverage
- All public APIs have tests
- Critical paths fully covered
### Quality Standards
- All test scenarios covered (happy, error, edge, integration)
- Follow existing test conventions
- Clear test descriptions and assertions
- Maintainable test structure
### Validation Approach
- Run full test suite after generation
- Verify coverage with coverage tool
- Manual review of test quality
- Integration test validation
---
## 7. Reference Information
### Source Context
- **Implementation Summaries**: {paths}
- **Existing Tests**: {example_tests}
- **Documentation**: {relevant_docs}
### Analysis Tools
- **Gemini Analysis**: gemini-test-analysis.md
- **Coverage Tools**: {coverage_tool_if_detected}
```
**Output Location**: `.workflow/active/{test_session_id}/.process/TEST_ANALYSIS_RESULTS.md`
- Verify `gemini-test-analysis.md` exists and is complete
- Validate `TEST_ANALYSIS_RESULTS.md` generated by agent
- Check required sections present
- Confirm test requirements are actionable
## Error Handling
### Validation Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| Missing context package | test-context-gather not run | Run test-context-gather first |
| No coverage gaps | All files have tests | Skip test generation, proceed to test execution |
| No test framework detected | Missing test dependencies | Request user to configure test framework |
| Invalid source session | Source session incomplete | Complete implementation first |
| Error | Resolution |
|-------|------------|
| Missing context package | Run test-context-gather first |
| No coverage gaps | Skip test generation, proceed to execution |
| No test framework detected | Configure test framework |
| Invalid source session | Complete implementation first |
### Gemini Execution Errors
| Error | Cause | Recovery |
|-------|-------|----------|
| Timeout | Large project analysis | Reduce scope, analyze by module |
| Output incomplete | Token limit exceeded | Retry with focused analysis |
| No output file | Write permission error | Check directory permissions |
### Execution Errors
| Error | Recovery |
|-------|----------|
| Gemini timeout | Reduce scope, analyze by module |
| Output incomplete | Retry with focused analysis |
| No output file | Check directory permissions |
### Fallback Strategy
- If Gemini fails, generate basic TEST_ANALYSIS_RESULTS.md from context package
- Use coverage gaps and framework info to create minimal requirements
- Provide guidance for manual test planning
**Fallback Strategy**: Generate basic TEST_ANALYSIS_RESULTS.md from context package if Gemini fails
## Performance Optimization
## Integration & Usage
- **Focused Analysis**: Only analyze files with missing tests
- **Pattern Reuse**: Study existing tests for quick pattern extraction
- **Parallel Operations**: Load implementation summaries in parallel
- **Timeout Management**: 20-minute limit for Gemini analysis
### Command Chain
- **Called By**: `/workflow:test-gen` (Phase 4: Analysis)
- **Requires**: `test-context-package.json` from `/workflow:tools:test-context-gather`
- **Followed By**: `/workflow:tools:test-task-generate`
## Integration
### Performance
- Focused analysis: Only analyze files with missing tests
- Pattern reuse: Study existing tests for quick extraction
- Timeout: 20-minute limit for analysis
### Called By
- `/workflow:test-gen` (Phase 4: Analysis)
### Requires
- `/workflow:tools:test-context-gather` output (test-context-package.json)
### Followed By
- `/workflow:tools:test-task-generate` - Generates test task JSON with code-developer invocation
## Success Criteria
- ✅ Valid TEST_ANALYSIS_RESULTS.md generated
- ✅ All missing tests documented with requirements
- ✅ Test scenarios cover happy path, errors, edge cases
- ✅ Dependencies and mocks identified
- ✅ Test generation strategy is actionable
- ✅ Execution time < 20 minutes
- ✅ Output follows existing test conventions
### Success Criteria
- Valid TEST_ANALYSIS_RESULTS.md generated
- All missing tests documented with actionable requirements
- Test scenarios cover happy path, errors, edge cases, integration
- Dependencies and mocks clearly identified
- Test generation strategy is practical
- Output follows existing test conventions

View File

@@ -14,7 +14,7 @@ allowed-tools: Task(*), Read(*), Glob(*)
Orchestrator command that invokes `test-context-search-agent` to gather comprehensive test coverage context for test generation workflows. Generates standardized `test-context-package.json` with coverage analysis, framework detection, and source implementation context.
**Agent**: `test-context-search-agent` (`.claude/agents/test-context-search-agent.md`)
## Core Philosophy
@@ -24,6 +24,36 @@ Orchestrator command that invokes `test-context-search-agent` to gather comprehe
- **Source Context Loading**: Import implementation summaries from source session
- **Standardized Output**: Generate `.workflow/active/{test_session_id}/.process/test-context-package.json`
## Execution Process
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: test_session_id REQUIRED
Step 1: Test-Context-Package Detection
└─ Decision (existing package):
├─ Valid package exists → Return existing (skip execution)
└─ No valid package → Continue to Step 2
Step 2: Invoke Test-Context-Search Agent
├─ Phase 1: Session Validation & Source Context Loading
│ ├─ Detection: Check for existing test-context-package
│ ├─ Test session validation
│ └─ Source context loading (summaries, changed files)
├─ Phase 2: Test Coverage Analysis
│ ├─ Track 1: Existing test discovery
│ ├─ Track 2: Coverage gap analysis
│ └─ Track 3: Coverage statistics
└─ Phase 3: Framework Detection & Packaging
├─ Framework identification
├─ Convention analysis
└─ Generate test-context-package.json
Step 3: Output Verification
└─ Verify test-context-package.json created
```
## Execution Flow
### Step 1: Test-Context-Package Detection
@@ -56,9 +86,9 @@ if (file_exists(testContextPath)) {
```javascript
Task(
subagent_type="test-context-search-agent",
run_in_background=false,
description="Gather test coverage context",
prompt=`
You are executing as test-context-search-agent (.claude/agents/test-context-search-agent.md).
## Execution Mode
**PLAN MODE** (Comprehensive) - Full Phase 1-3 execution
@@ -198,7 +228,7 @@ Refer to `test-context-search-agent.md` Phase 3.2 for complete `test-context-pac
## Notes
- **Detection-first**: Always check for existing test-context-package before invoking agent
- **Agent autonomy**: Agent handles all coverage analysis logic per `.claude/agents/test-context-search-agent.md`
- **No redundancy**: This command is a thin orchestrator, all logic in agent
- **Framework agnostic**: Supports Jest, Mocha, pytest, RSpec, Go testing, etc.
- **Coverage focus**: Primary goal is identifying implementation files without tests

View File

@@ -1,416 +1,255 @@
---
name: test-task-generate
description: Autonomous test-fix task generation using action-planning-agent with test-fix-retest cycle specification and discovery phase
argument-hint: "[--use-codex] [--cli-execute] --session WFS-test-session-id"
description: Generate test planning documents (IMPL_PLAN.md, test task JSONs, TODO_LIST.md) using action-planning-agent - produces test planning artifacts, does NOT execute tests
argument-hint: "--session WFS-test-session-id"
examples:
- /workflow:tools:test-task-generate --session WFS-test-auth
- /workflow:tools:test-task-generate --use-codex --session WFS-test-auth
- /workflow:tools:test-task-generate --cli-execute --session WFS-test-auth
- /workflow:tools:test-task-generate --cli-execute --use-codex --session WFS-test-auth
---
# Autonomous Test Task Generation Command
# Generate Test Planning Documents Command
## Overview
Autonomous test-fix task JSON generation using action-planning-agent with two-phase execution: discovery and document generation. Supports both agent-driven execution (default) and CLI tool execution modes. Generates specialized test-fix tasks with comprehensive test-fix-retest cycle specification.
Generate test planning documents (IMPL_PLAN.md, test task JSONs, TODO_LIST.md) using action-planning-agent. This command produces **test planning artifacts only** - it does NOT execute tests or implement code. Actual test execution requires separate execution command (e.g., /workflow:test-cycle-execute).
## Core Philosophy
- **Agent-Driven**: Delegate execution to action-planning-agent for autonomous operation
- **Two-Phase Flow**: Discovery (context gathering) → Output (document generation)
- **Planning Only**: Generate test planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) - does NOT execute tests
- **Agent-Driven Document Generation**: Delegate test plan generation to action-planning-agent
- **Two-Phase Flow**: Context Preparation (command) → Test Document Generation (agent)
- **Memory-First**: Reuse loaded documents from conversation memory
- **MCP-Enhanced**: Use MCP tools for advanced code analysis and test research
- **Pre-Selected Templates**: Command selects correct test template based on `--cli-execute` flag **before** invoking agent
- **Agent Simplicity**: Agent receives pre-selected template and focuses only on content generation
- **MCP-Enhanced**: Use MCP tools for test pattern research and analysis
- **Path Clarity**: All `focus_paths` prefer absolute paths (e.g., `D:\\project\\src\\module`), or clear relative paths from project root
- **Test-First**: Generate comprehensive test coverage before execution
- **Iterative Refinement**: Test-fix-retest cycle until all tests pass
- **Surgical Fixes**: Minimal code changes, no refactoring during test fixes
- **Auto-Revert**: Rollback all changes if max iterations reached
- **Leverage Existing Test Infrastructure**: Prioritize using established testing frameworks and tools present in the project
## Execution Modes
## Test-Specific Execution Modes
### Test Generation (IMPL-001)
- **Agent Mode (Default)**: @code-developer generates tests within agent context
- **CLI Execute Mode (`--cli-execute`)**: Use Codex CLI for autonomous test generation
- **Agent Mode** (default): @code-developer generates tests within agent context
- **CLI Mode**: Use CLI tools when `command` field present in implementation_approach (determined semantically)
### Test Fix (IMPL-002)
- **Manual Mode (Default)**: Gemini diagnosis → user applies fixes
- **Codex Mode (`--use-codex`)**: Gemini diagnosis → Codex applies fixes with resume mechanism
### Test Execution & Fix (IMPL-002+)
- **Agent Mode** (default): Gemini diagnosis → agent applies fixes
- **CLI Mode**: Gemini diagnosis → CLI applies fixes (when `command` field present in implementation_approach)
## Execution Lifecycle
## Execution Process
### Phase 1: Discovery & Context Loading
**⚡ Memory-First Rule**: Skip file loading if documents already in conversation memory
```
Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
**Agent Context Package**:
```javascript
{
"session_id": "WFS-test-[session-id]",
"execution_mode": "agent-mode" | "cli-execute-mode", // Determined by flag
"task_json_template_path": "~/.claude/workflows/cli-templates/prompts/workflow/task-json-agent-mode.txt"
| "~/.claude/workflows/cli-templates/prompts/workflow/task-json-cli-mode.txt",
// Path selected by command based on --cli-execute flag, agent reads it
"workflow_type": "test_session",
"use_codex": true | false, // Determined by --use-codex flag
"session_metadata": {
// If in memory: use cached content
// Else: Load from .workflow/active/{test-session-id}/workflow-session.json
},
"test_analysis_results_path": ".workflow/active/{test-session-id}/.process/TEST_ANALYSIS_RESULTS.md",
"test_analysis_results": {
// If in memory: use cached content
// Else: Load from TEST_ANALYSIS_RESULTS.md
},
"test_context_package_path": ".workflow/active/{test-session-id}/.process/test-context-package.json",
"test_context_package": {
// Existing test patterns and coverage analysis
},
"source_session_id": "[source-session-id]", // if exists
"source_session_summaries": {
// Implementation context from source session
},
"mcp_capabilities": {
"code_index": true,
"exa_code": true,
"exa_web": true
}
}
Phase 1: Context Preparation (Command)
├─ Assemble test session paths
│ ├─ session_metadata_path
│ ├─ test_analysis_results_path (REQUIRED)
│ └─ test_context_package_path
└─ Provide metadata (session_id, source_session_id)
Phase 2: Test Document Generation (Agent)
├─ Load TEST_ANALYSIS_RESULTS.md as primary requirements source
├─ Generate Test Task JSON Files (.task/IMPL-*.json)
│ ├─ IMPL-001: Test generation (meta.type: "test-gen")
│ └─ IMPL-002+: Test execution & fix (meta.type: "test-fix")
├─ Create IMPL_PLAN.md (test_session variant)
└─ Generate TODO_LIST.md with test phase indicators
```
**Discovery Actions**:
1. **Load Test Session Context** (if not in memory)
```javascript
if (!memory.has("workflow-session.json")) {
Read(.workflow/active/{test-session-id}/workflow-session.json)
}
```
## Document Generation Lifecycle
2. **Load TEST_ANALYSIS_RESULTS.md** (if not in memory, REQUIRED)
```javascript
if (!memory.has("TEST_ANALYSIS_RESULTS.md")) {
Read(.workflow/active/{test-session-id}/.process/TEST_ANALYSIS_RESULTS.md)
}
```
### Phase 1: Context Preparation (Command Responsibility)
3. **Load Test Context Package** (if not in memory)
```javascript
if (!memory.has("test-context-package.json")) {
Read(.workflow/active/{test-session-id}/.process/test-context-package.json)
}
```
**Command prepares test session paths and metadata for planning document generation.**
4. **Load Source Session Summaries** (if source_session_id exists)
```javascript
if (sessionMetadata.source_session_id) {
const summaryFiles = Bash("find .workflow/active/{source-session-id}/.summaries/ -name 'IMPL-*-summary.md'")
summaryFiles.forEach(file => Read(file))
}
```
5. **Code Analysis with Native Tools** (optional - enhance understanding)
```bash
# Find test files and patterns
find . -name "*test*" -type f
rg "describe|it\(|test\(" -g "*.ts"
```
6. **MCP External Research** (optional - gather test best practices)
```javascript
// Get external test examples and patterns
mcp__exa__get_code_context_exa(
query="TypeScript test generation best practices jest",
tokensNum="dynamic"
)
```
### Phase 2: Agent Execution (Document Generation)
**Pre-Agent Template Selection** (Command decides path before invoking agent):
```javascript
// Command checks flag and selects template PATH (not content)
const templatePath = hasCliExecuteFlag
? "~/.claude/workflows/cli-templates/prompts/workflow/task-json-cli-mode.txt"
: "~/.claude/workflows/cli-templates/prompts/workflow/task-json-agent-mode.txt";
**Test Session Path Structure**:
```
.workflow/active/WFS-test-{session-id}/
├── workflow-session.json # Test session metadata
├── .process/
│ ├── TEST_ANALYSIS_RESULTS.md # Test requirements and strategy
│ ├── test-context-package.json # Test patterns and coverage
│ └── context-package.json # General context artifacts
├── .task/ # Output: Test task JSON files
├── IMPL_PLAN.md # Output: Test implementation plan
└── TODO_LIST.md # Output: Test TODO list
```
**Command Preparation**:
1. **Assemble Test Session Paths** for agent prompt:
- `session_metadata_path`
- `test_analysis_results_path` (REQUIRED)
- `test_context_package_path`
- Output directory paths
2. **Provide Metadata** (simple values):
- `session_id`
- `source_session_id` (if exists)
- `mcp_capabilities` (available MCP tools)
**Note**: CLI tool usage is now determined semantically from user's task description, not by flags.
### Phase 2: Test Document Generation (Agent Responsibility)
**Purpose**: Generate test-specific IMPL_PLAN.md, task JSONs, and TODO_LIST.md - planning documents only, NOT test execution.
**Agent Invocation**:
```javascript
Task(
subagent_type="action-planning-agent",
description="Generate test-fix task JSON and implementation plan",
run_in_background=false,
description="Generate test planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md)",
prompt=`
## Execution Context
## TASK OBJECTIVE
Generate test planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md) for test workflow session
**Session ID**: WFS-test-{session-id}
**Workflow Type**: Test Session
**Execution Mode**: {agent-mode | cli-execute-mode}
**Task JSON Template Path**: {template_path}
**Use Codex**: {true | false}
IMPORTANT: This is TEST PLANNING ONLY - you are generating planning documents, NOT executing tests.
## Phase 1: Discovery Results (Provided Context)
CRITICAL:
- Use existing test frameworks and utilities from the project
- Follow the progressive loading strategy defined in your agent specification (load context incrementally from memory-first approach)
### Test Session Metadata
{session_metadata_content}
- source_session_id: {source_session_id} (if exists)
- workflow_type: "test_session"
## AGENT CONFIGURATION REFERENCE
### TEST_ANALYSIS_RESULTS.md (REQUIRED)
{test_analysis_results_content}
- Coverage Assessment
- Test Framework & Conventions
- Test Requirements by File
- Test Generation Strategy
- Implementation Targets
- Success Criteria
Refer to your specification for:
- Test Task JSON Schema (6-field structure with test-specific metadata)
- Test IMPL_PLAN.md Structure (test_session variant with test-fix cycle)
- TODO_LIST.md Format (with test phase indicators)
- Progressive Loading Strategy (memory-first, load TEST_ANALYSIS_RESULTS.md as primary source)
- Quality Validation Rules (task count limits, requirement quantification)
### Test Context Package
{test_context_package_summary}
- Existing test patterns, framework config, coverage analysis
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{test-session-id}/workflow-session.json
- TEST_ANALYSIS_RESULTS: .workflow/active/{test-session-id}/.process/TEST_ANALYSIS_RESULTS.md (REQUIRED - primary requirements source)
- Test Context Package: .workflow/active/{test-session-id}/.process/test-context-package.json
- Context Package: .workflow/active/{test-session-id}/.process/context-package.json
- Source Session Summaries: .workflow/active/{source-session-id}/.summaries/IMPL-*.md (if exists)
### Source Session Implementation Context (Optional)
{source_session_summaries}
- Implementation context from completed session
Output:
- Task Dir: .workflow/active/{test-session-id}/.task/
- IMPL_PLAN: .workflow/active/{test-session-id}/IMPL_PLAN.md
- TODO_LIST: .workflow/active/{test-session-id}/TODO_LIST.md
### MCP Analysis Results (Optional)
**Code Structure**: {mcp_code_index_results}
**External Research**: {mcp_exa_research_results}
## CONTEXT METADATA
Session ID: {test-session-id}
Workflow Type: test_session
Source Session: {source-session-id} (if exists)
MCP Capabilities: {exa_code, exa_web, code_index}
## Phase 2: Test Task Document Generation
## CLI TOOL SELECTION
Determine CLI tool usage per-step based on user's task description:
- If user specifies "use Codex/Gemini/Qwen for X" → Add command field to relevant steps
- Default: Agent execution (no command field) unless user explicitly requests CLI
**Agent Configuration Reference**: All test task generation rules, test-fix cycle structure, quality standards, and execution details are defined in action-planning-agent.
## TEST-SPECIFIC REQUIREMENTS SUMMARY
(Detailed specifications in your agent definition)
Refer to: @.claude/agents/action-planning-agent.md for:
- Test Task Decomposition Standards
- Test-Fix-Retest Cycle Requirements
- 5-Field Task JSON Schema
- IMPL_PLAN.md Structure (Test variant)
- TODO_LIST.md Format
- Test Execution Flow & Quality Validation
### Task Structure Requirements
- Minimum 2 tasks: IMPL-001 (test generation) + IMPL-002 (test execution & fix)
- Expandable for complex projects: Add IMPL-003+ (per-module, integration, E2E tests)
### Test-Specific Requirements Summary
Task Configuration:
IMPL-001 (Test Generation):
- meta.type: "test-gen"
- meta.agent: "@code-developer"
- meta.test_framework: Specify existing framework (e.g., "jest", "vitest", "pytest")
- flow_control: Test generation strategy from TEST_ANALYSIS_RESULTS.md
- CLI execution: Add `command` field when user requests (determined semantically)
#### Task Structure Philosophy
- **Minimum 2 tasks**: IMPL-001 (test generation) + IMPL-002 (test execution & fix)
- **Expandable**: Add IMPL-003+ for complex projects (per-module, integration, etc.)
- IMPL-001: Uses @code-developer or CLI execution
- IMPL-002: Uses @test-fix-agent with iterative fix cycle
IMPL-002+ (Test Execution & Fix):
- meta.type: "test-fix"
- meta.agent: "@test-fix-agent"
- flow_control: Test-fix cycle with iteration limits and diagnosis configuration
- CLI execution: Add `command` field when user requests (determined semantically)
#### Test-Fix Cycle Configuration
- **Max Iterations**: 5 (for IMPL-002)
- **Diagnosis Tool**: Gemini with bug-fix template
- **Fix Application**: Manual (default) or Codex (if --use-codex flag)
- **Cycle Pattern**: test → gemini_diagnose → manual_fix (or codex) → retest
- **Exit Conditions**: All tests pass OR max iterations reached (auto-revert)
### Test-Fix Cycle Specification (IMPL-002+)
Required flow_control fields:
- max_iterations: 5
- diagnosis_tool: "gemini"
- diagnosis_template: "~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt"
- cycle_pattern: "test → gemini_diagnose → fix → retest"
- exit_conditions: ["all_tests_pass", "max_iterations_reached"]
- auto_revert_on_failure: true
- CLI fix: Add `command` field when user specifies CLI tool usage
#### Required Outputs Summary
### Automation Framework Configuration
Select automation tools based on test requirements from TEST_ANALYSIS_RESULTS.md:
- UI interaction testing → E2E browser automation (meta.e2e_framework)
- API/database integration → integration test tools (meta.test_tools)
- Performance metrics → load testing tools (meta.perf_framework)
- Logic verification → unit test framework (meta.test_framework)
##### 1. Test Task JSON Files (.task/IMPL-*.json)
- **Location**: `.workflow/active/{test-session-id}/.task/`
- **Template**: Read from `{template_path}` (pre-selected by command based on `--cli-execute` flag)
- **Schema**: 5-field structure with test-specific metadata
- IMPL-001: `meta.type: "test-gen"`, `meta.agent: "@code-developer"`
- IMPL-002: `meta.type: "test-fix"`, `meta.agent: "@test-fix-agent"`, `meta.use_codex: {use_codex}`
- `flow_control`: Test generation approach (IMPL-001) or test-fix cycle (IMPL-002)
- **Details**: See action-planning-agent.md § Test Task JSON Generation
**Tool Selection**: Detect from project config > suggest based on requirements
##### 2. IMPL_PLAN.md (Test Variant)
- **Location**: `.workflow/active/{test-session-id}/IMPL_PLAN.md`
- **Template**: `~/.claude/workflows/cli-templates/prompts/workflow/impl-plan-template.txt`
- **Test-Specific Frontmatter**: workflow_type="test_session", test_framework, source_session_id
- **Test-Fix-Retest Cycle Section**: Iterative fix cycle with Gemini diagnosis
- **Details**: See action-planning-agent.md § Test Implementation Plan Creation
### TEST_ANALYSIS_RESULTS.md Mapping
PRIMARY requirements source - extract and map to task JSONs:
- Test framework config → meta.test_framework (use existing framework from project)
- Existing test utilities → flow_control.reusable_test_tools (discovered test helpers, fixtures, mocks)
- Test runner commands → flow_control.test_commands (from package.json or pytest config)
- Coverage targets → meta.coverage_target
- Test requirements → context.requirements (quantified with explicit counts)
- Test generation strategy → IMPL-001 flow_control.implementation_approach
- Implementation targets → context.files_to_test (absolute paths)
##### 3. TODO_LIST.md
- **Location**: `.workflow/active/{test-session-id}/TODO_LIST.md`
- **Format**: Task list with test generation and execution phases
- **Status**: [ ] (pending), [x] (completed)
- **Details**: See action-planning-agent.md § TODO List Generation
## EXPECTED DELIVERABLES
1. Test Task JSON Files (.task/IMPL-*.json)
- 6-field schema with quantified requirements from TEST_ANALYSIS_RESULTS.md
- Test-specific metadata: type, agent, test_framework, coverage_target
- flow_control includes: reusable_test_tools, test_commands (from project config)
- CLI execution via `command` field when user requests (determined semantically)
- Artifact references from test-context-package.json
- Absolute paths in context.files_to_test
### Agent Execution Summary
2. Test Implementation Plan (IMPL_PLAN.md)
- Template: ~/.claude/workflows/cli-templates/prompts/workflow/impl-plan-template.txt
- Test-specific frontmatter: workflow_type="test_session", test_framework, source_session_id
- Test-Fix-Retest Cycle section with diagnosis configuration
- Source session context integration (if applicable)
**Key Steps** (Detailed instructions in action-planning-agent.md):
1. Load task JSON template from provided path
2. Parse TEST_ANALYSIS_RESULTS.md for test requirements
3. Generate IMPL-001 (test generation) task JSON
4. Generate IMPL-002 (test execution & fix) task JSON with use_codex flag
5. Generate additional IMPL-*.json if project complexity requires
6. Create IMPL_PLAN.md using test template variant
7. Generate TODO_LIST.md with test task indicators
8. Update session state with test metadata
3. TODO List (TODO_LIST.md)
- Hierarchical structure with test phase containers
- Links to task JSONs with status markers
- Matches task JSON hierarchy
**Quality Gates** (Full checklist in action-planning-agent.md):
- ✓ Minimum 2 tasks created (IMPL-001 + IMPL-002)
- ✓ IMPL-001 has test generation approach from TEST_ANALYSIS_RESULTS.md
- ✓ IMPL-002 has test-fix cycle with correct use_codex flag
- Test framework configuration integrated
- ✓ Source session context referenced (if exists)
- ✓ MCP tool integration added
- ✓ Documents follow test template structure
## QUALITY STANDARDS
Hard Constraints:
- Task count: minimum 2, maximum 18
- All requirements quantified from TEST_ANALYSIS_RESULTS.md
- Test framework matches existing project framework
- flow_control includes reusable_test_tools and test_commands from project
- Absolute paths for all focus_paths
- Acceptance criteria include verification commands
- CLI `command` field added only when user explicitly requests CLI tool usage
## Output
Generate all three documents and report completion status:
- Test task JSON files created: N files (minimum 2)
- Test requirements integrated: TEST_ANALYSIS_RESULTS.md
- Test context integrated: existing patterns and coverage
- Source session context: {source_session_id} summaries (if exists)
- MCP enhancements: code-index, exa-research
- Session ready for test execution: /workflow:execute or /workflow:test-cycle-execute
## SUCCESS CRITERIA
- All test planning documents generated successfully
- Return completion status: task count, test framework, coverage targets, source session status
`
)
```
### Agent Context Passing
**Memory-Aware Context Assembly**:
```javascript
// Assemble context package for agent
const agentContext = {
session_id: "WFS-test-[id]",
workflow_type: "test_session",
use_codex: hasUseCodexFlag,
// Use memory if available, else load
session_metadata: memory.has("workflow-session.json")
? memory.get("workflow-session.json")
: Read(.workflow/active/WFS-test-[id]/workflow-session.json),
test_analysis_results_path: ".workflow/active/WFS-test-[id]/.process/TEST_ANALYSIS_RESULTS.md",
test_analysis_results: memory.has("TEST_ANALYSIS_RESULTS.md")
? memory.get("TEST_ANALYSIS_RESULTS.md")
: Read(".workflow/active/WFS-test-[id]/.process/TEST_ANALYSIS_RESULTS.md"),
test_context_package_path: ".workflow/active/WFS-test-[id]/.process/test-context-package.json",
test_context_package: memory.has("test-context-package.json")
? memory.get("test-context-package.json")
: Read(".workflow/active/WFS-test-[id]/.process/test-context-package.json"),
// Load source session summaries if exists
source_session_id: session_metadata.source_session_id || null,
source_session_summaries: session_metadata.source_session_id
? loadSourceSummaries(session_metadata.source_session_id)
: null,
// Optional MCP enhancements
mcp_analysis: executeMcpDiscovery()
}
```
## Test Task Structure Reference
This section provides quick reference for test task JSON structure. For complete implementation details, see the agent invocation prompt in Phase 2 above.
**Quick Reference**:
- Minimum 2 tasks: IMPL-001 (test-gen) + IMPL-002 (test-fix)
- Expandable for complex projects (IMPL-003+)
- IMPL-001: `meta.agent: "@code-developer"`, test generation approach
- IMPL-002: `meta.agent: "@test-fix-agent"`, `meta.use_codex: {flag}`, test-fix cycle
- See Phase 2 agent prompt for full schema and requirements
## Output Files Structure
```
.workflow/active/WFS-test-[session]/
├── workflow-session.json # Test session metadata
├── IMPL_PLAN.md # Test validation plan
├── TODO_LIST.md # Progress tracking
├── .task/
│ └── IMPL-001.json # Test-fix task with cycle spec
├── .process/
│ ├── ANALYSIS_RESULTS.md # From concept-enhanced (optional)
│ ├── context-package.json # From context-gather
│ ├── initial-test.log # Phase 1: Initial test results
│ ├── fix-iteration-1-diagnosis.md # Gemini diagnosis iteration 1
│ ├── fix-iteration-1-changes.log # Codex changes iteration 1
│ ├── fix-iteration-1-retest.log # Retest results iteration 1
│ ├── fix-iteration-N-*.md/log # Subsequent iterations
│ └── final-test.log # Phase 3: Final validation
└── .summaries/
└── IMPL-001-summary.md # Success report OR failure report
```
## Error Handling
### Input Validation Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| Not a test session | Missing workflow_type: "test_session" | Verify session created by test-gen |
| Source session not found | Invalid source_session_id | Check source session exists |
| No implementation summaries | Source session incomplete | Ensure source session has completed tasks |
### Test Framework Discovery Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| No test command found | Unknown framework | Manual test command specification |
| No test files found | Tests not written | Request user to write tests first |
| Test dependencies missing | Incomplete setup | Run dependency installation |
### Generation Errors
| Error | Cause | Resolution |
|-------|-------|------------|
| Invalid JSON structure | Template error | Fix task generation logic |
| Missing required fields | Incomplete metadata | Validate session metadata |
## Integration & Usage
### Command Chain
- **Called By**: `/workflow:test-gen` (Phase 4), `/workflow:test-fix-gen` (Phase 4)
- **Invokes**: `action-planning-agent` for autonomous task generation
- **Followed By**: `/workflow:execute` or `/workflow:test-cycle-execute` (user-triggered)
- **Invokes**: `action-planning-agent` for test planning document generation
- **Followed By**: `/workflow:test-cycle-execute` or `/workflow:execute` (user-triggered)
### Basic Usage
### Usage Examples
```bash
# Agent mode (default, autonomous execution)
# Standard execution
/workflow:tools:test-task-generate --session WFS-test-auth
# With automated Codex fixes for IMPL-002
/workflow:tools:test-task-generate --use-codex --session WFS-test-auth
# CLI execution mode for IMPL-001 test generation
/workflow:tools:test-task-generate --cli-execute --session WFS-test-auth
# Both flags combined
/workflow:tools:test-task-generate --cli-execute --use-codex --session WFS-test-auth
# With semantic CLI request (include in task description)
# e.g., "Generate tests, use Codex for implementation and fixes"
```
### Execution Modes
- **Agent mode** (default): Uses `action-planning-agent` with agent-mode task template
- **CLI mode** (`--cli-execute`): Uses Gemini/Qwen/Codex with cli-mode task template for IMPL-001
- **Codex fixes** (`--use-codex`): Enables automated fixes in IMPL-002 task
### Flag Behavior
- **No flags**: `meta.use_codex=false` (manual fixes), agent-mode generation
- **--use-codex**: `meta.use_codex=true` (Codex automated fixes with resume mechanism in IMPL-002)
- **--cli-execute**: Uses CLI tool execution mode for IMPL-001 test generation
- **Both flags**: CLI generation + automated Codex fixes
### CLI Tool Selection
CLI tool usage is determined semantically from user's task description:
- Include "use Codex" for automated fixes
- Include "use Gemini" for analysis
- Default: Agent execution (no `command` field)
### Output
- Test task JSON files in `.task/` directory (minimum 2: IMPL-001.json + IMPL-002.json)
- IMPL_PLAN.md with test generation and fix cycle strategy
- TODO_LIST.md with test task indicators
- Session state updated with test metadata
- MCP enhancements integrated (if available)
## Agent Execution Notes
The `@test-fix-agent` will execute the task by following the `flow_control.implementation_approach` specification:
1. **Load task JSON**: Read complete test-fix task from `.task/IMPL-002.json`
2. **Check meta.use_codex**: Determine fix mode (manual or automated)
3. **Execute pre_analysis**: Load source context, discover framework, analyze tests
4. **Phase 1**: Run initial test suite
5. **Phase 2**: If failures, enter iterative loop:
- Use Gemini for diagnosis (analysis mode with bug-fix template)
- Check meta.use_codex flag:
- If false (default): Present fix suggestions to user for manual application
- If true (--use-codex): Use Codex resume for automated fixes (maintains context)
- Retest and check for regressions
- Repeat max 5 times
6. **Phase 3**: Generate summary and certify code
7. **Error Recovery**: Revert changes if max iterations reached
**Bug Diagnosis Template**: Uses `~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt` template for systematic root cause analysis, code path tracing, and targeted fix recommendations.
**Codex Usage**: The agent uses `codex exec "..." resume --last` pattern ONLY when meta.use_codex=true (--use-codex flag present) to maintain conversation context across multiple fix iterations, ensuring consistency and learning from previous attempts.
- Test task JSON files in `.task/` directory (minimum 2)
- IMPL_PLAN.md with test strategy and fix cycle specification
- TODO_LIST.md with test phase indicators
- Session ready for test execution

View File

@@ -23,6 +23,44 @@ Extract animation and transition patterns from prompt inference and image refere
- **Production-Ready**: CSS var() format, WCAG-compliant, semantic naming
- **Default Behavior**: Non-interactive mode uses inferred patterns + best practices
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-id, --session, --images, --focus, --interactive, --refine
└─ Decision (mode detection):
├─ --refine flag → Refinement Mode
└─ No --refine → Exploration Mode
Phase 0: Setup & Input Validation
├─ Step 1: Detect input mode & base path
├─ Step 2: Prepare image references (if available)
├─ Step 3: Load design tokens context
└─ Step 4: Memory check (skip if exists)
Phase 1: Animation Specification Generation
├─ Step 1: Load project context
├─ Step 2: Generate animation specification options (Agent Task 1)
│ └─ Decision:
│ ├─ Exploration Mode → Generate specification questions
│ └─ Refinement Mode → Generate refinement options
└─ Step 3: Verify options file created
Phase 1.5: User Confirmation (Optional)
└─ Decision (--interactive flag):
├─ --interactive present → Present options, capture selection
└─ No --interactive → Skip to Phase 2
Phase 2: Animation System Generation
├─ Step 1: Load user selection or use defaults
├─ Step 2: Create output directory
└─ Step 3: Launch animation generation task (Agent Task 2)
Phase 3: Verify Output
├─ Step 1: Check files created
└─ Step 2: Verify file sizes
```
## Phase 0: Setup & Input Validation
### Step 1: Detect Input Mode & Base Path
@@ -120,11 +158,7 @@ ELSE:
- Infers animation patterns from UI element positioning and design style
- Generates context-aware animation specifications based on visual analysis
**Benefits**:
- ✅ Flexible input - works with screenshots, mockups, or design files
- ✅ AI-driven inference from visual cues
- ✅ No external dependencies on MCP tools
- ✅ Combines visual analysis with industry best practices
### Step 3: Load Design Tokens Context

View File

@@ -480,11 +480,7 @@ TodoWrite({todos: [
// - Orchestrator's own task (no SlashCommand attachment)
// - Mark Phase 3 as completed
// - Final state: All 4 orchestrator tasks completed
//
// Benefits:
// ✓ Real-time visibility into attached tasks during execution
// ✓ Clean orchestrator-level summary after tasks complete
// ✓ Clear mental model: SlashCommand = attach tasks, not delegate work
// ✓ Dynamic attachment/collapse maintains clarity
```
@@ -623,17 +619,7 @@ File discovery is fully automatic - no glob patterns needed.
---
## Benefits
- **Simplified Interface**: Single path parameter with intelligent defaults
- **Auto-Generation**: Package names auto-generated from directory names
- **Automatic Discovery**: No need to specify file patterns - finds all style files automatically
- **Pure Orchestrator**: No direct agent execution, delegates to specialized commands
- **Auto-Continue**: Autonomous 4-phase execution without user interaction
- **Safety First**: Overwrite protection, validation checks, error handling
- **Code Reuse**: Leverages existing `import-from-code` and `reference-page-generator` commands
- **Clean Separation**: Each command has single responsibility
- **Easy Maintenance**: Changes to sub-commands automatically apply
## Architecture

View File

@@ -19,6 +19,48 @@ Synchronize finalized design system references to brainstorming artifacts, prepa
- **Plan-Ready Output**: Ensure design artifacts discoverable by task-generate
- **Minimal Reading**: Verify file existence, don't read design content
## Execution Process
```
Input Parsing:
├─ Parse flags: --session, --selected-prototypes
└─ Validation: session_id REQUIRED
Phase 1: Session & Artifact Validation
├─ Step 1: Validate session exists
├─ Step 2: Find latest design run
├─ Step 3: Detect design system structure
└─ Step 4: Select prototypes (--selected-prototypes OR all)
Phase 1.1: Memory Check (Conditional)
└─ Decision (current design run in synthesis):
├─ Already updated → Skip Phase 2-5, EXIT
└─ Not found → Continue to Phase 2
Phase 2: Load Target Artifacts
├─ Read role analysis documents (files to update)
├─ Read ui-designer/analysis.md (if exists)
└─ Read prototype notes (minimal context)
Phase 3: Update Synthesis Specification
└─ Edit role analysis documents with UI/UX Guidelines section
Phase 4A: Update Relevant Role Analysis Documents
├─ ui-designer/analysis.md (always)
├─ ux-expert/analysis.md (if animations exist)
├─ system-architect/analysis.md (if layouts exist)
└─ product-manager/analysis.md (if prototypes)
Phase 4B: Create UI Designer Design System Reference
└─ Write ui-designer/design-system-reference.md
Phase 5: Update Context Package
└─ Update context-package.json with design system references
Phase 6: Completion
└─ Report updated artifacts
```
## Execution Protocol
### Phase 1: Session & Artifact Validation
@@ -227,7 +269,68 @@ Write(file_path=".workflow/active/WFS-{session}/.brainstorming/ui-designer/desig
content="[generated content with @ references]")
```
### Phase 5: Completion
### Phase 5: Update Context Package
**Purpose**: Sync design system references to context-package.json
**Operations**:
```bash
context_pkg_path = ".workflow/active/WFS-{session}/.process/context-package.json"
# 1. Read existing package
context_pkg = Read(context_pkg_path)
# 2. Update brainstorm_artifacts (role analyses now contain @ design references)
brainstorm_dir = ".workflow/active/WFS-{session}/.brainstorming"
role_analysis_files = Glob({brainstorm_dir}/*/analysis*.md)
context_pkg.brainstorm_artifacts.role_analyses = []
FOR file IN role_analysis_files:
role_name = extract_role_from_path(file)
relative_path = file.replace({brainstorm_dir}/, "")
context_pkg.brainstorm_artifacts.role_analyses.push({
"role": role_name,
"files": [{
"path": relative_path,
"type": "primary",
"content": Read(file), # Contains @ design system references
"updated_at": NOW()
}]
})
# 3. Add design_system_references field
context_pkg.design_system_references = {
"design_run_id": design_id,
"tokens": `${design_id}/${design_tokens_path}`,
"style_guide": `${design_id}/${style_guide_path}`,
"prototypes": selected_list.map(p => `${design_id}/prototypes/${p}.html`),
"updated_at": NOW()
}
# 4. Optional: Add animations and layouts if they exist
IF exists({latest_design}/animation-extraction/animation-tokens.json):
context_pkg.design_system_references.animations = `${design_id}/animation-extraction/animation-tokens.json`
IF exists({latest_design}/layout-extraction/layout-templates.json):
context_pkg.design_system_references.layouts = `${design_id}/layout-extraction/layout-templates.json`
# 5. Update metadata
context_pkg.metadata.updated_at = NOW()
context_pkg.metadata.design_sync_timestamp = NOW()
# 6. Write back
Write(context_pkg_path, JSON.stringify(context_pkg, indent=2))
REPORT: "✅ Updated context-package.json with design system references"
```
**TodoWrite Update**:
```json
{"content": "Update context package with design references", "status": "completed", "activeForm": "Updating context package"}
```
### Phase 6: Completion
```javascript
TodoWrite({todos: [

View File

@@ -27,8 +27,8 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Glob(*), Write(*
6. **Phase 10 (ui-assembly)****Attach tasks → Execute → Collapse** → Workflow complete
**Phase Transition Mechanism**:
- **Phase 5 (User Interaction)**: User confirms targets → IMMEDIATELY triggers Phase 7
- **Phase 7-10 (Autonomous)**: `SlashCommand` invocation **ATTACHES** tasks to current workflow
- **Phase 5 (User Interaction)**: User confirms targets → IMMEDIATELY dispatches Phase 7
- **Phase 7-10 (Autonomous)**: SlashCommand dispatch **ATTACHES** tasks to current workflow
- **Task Execution**: Orchestrator **EXECUTES** these attached tasks itself
- **Task Collapse**: After tasks complete, collapse them into phase summary
- **Phase Transition**: Automatically execute next phase after collapsing
@@ -36,10 +36,55 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Glob(*), Write(*
**Auto-Continue Mechanism**: TodoWrite tracks phase status with dynamic task attachment/collapse. After executing all attached tasks, you MUST immediately collapse them, restore phase summary, and execute the next phase. No user intervention required. The workflow is NOT complete until Phase 10 (UI assembly) finishes.
**Task Attachment Model**: SlashCommand invocation is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
**Task Attachment Model**: SlashCommand dispatch is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
**Target Type Detection**: Automatically inferred from prompt/targets, or explicitly set via `--target-type`.
## Execution Process
```
Input Parsing:
├─ Parse flags: --input, --targets, --target-type, --device-type, --session, --style-variants, --layout-variants
└─ Decision (input detection):
├─ Contains * or glob matches → images_input (visual)
├─ File/directory exists → code import source
└─ Pure text → design prompt
Phase 1-4: Parameter Parsing & Initialization
├─ Phase 1: Normalize parameters (legacy deprecation warning)
├─ Phase 2: Intelligent prompt parsing (extract variant counts)
├─ Phase 3: Device type inference (explicit > keywords > target_type > default)
└─ Phase 4: Run initialization and directory setup
Phase 5: Unified Target Inference
├─ Priority: --pages/--components (legacy) → --targets → prompt analysis → synthesis → default
├─ Display confirmation with modification options
└─ User confirms → IMMEDIATELY triggers Phase 7
Phase 6: Code Import (Conditional)
└─ Decision (design_source):
├─ code_only | hybrid → Dispatch /workflow:ui-design:import-from-code
└─ visual_only → Skip to Phase 7
Phase 7: Style Extraction
└─ Decision (needs_visual_supplement):
├─ visual_only OR supplement needed → Dispatch /workflow:ui-design:style-extract
└─ code_only AND style_complete → Use code import
Phase 8: Animation Extraction
└─ Decision (should_extract_animation):
├─ visual_only OR incomplete OR regenerate → Dispatch /workflow:ui-design:animation-extract
└─ code_only AND animation_complete → Use code import
Phase 9: Layout Extraction
└─ Decision (needs_visual_supplement OR NOT layout_complete):
├─ True → Dispatch /workflow:ui-design:layout-extract
└─ False → Use code import
Phase 10: UI Assembly
└─ Dispatch /workflow:ui-design:generate → Workflow complete
```
## Core Rules
1. **Start Immediately**: TodoWrite initialization → Phase 7 execution
@@ -47,7 +92,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Glob(*), Write(*
3. **Parse & Pass**: Extract data from each output for next phase
4. **Default to All**: When selecting variants/prototypes, use ALL generated items
5. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
6. **⚠️ CRITICAL: Task Attachment Model** - SlashCommand invocation **ATTACHES** tasks to current workflow. Orchestrator **EXECUTES** these attached tasks itself, not waiting for external completion. This is NOT delegation - it's task expansion.
6. **⚠️ CRITICAL: Task Attachment Model** - SlashCommand dispatch **ATTACHES** tasks to current workflow. Orchestrator **EXECUTES** these attached tasks itself, not waiting for external completion. This is NOT delegation - it's task expansion.
7. **⚠️ CRITICAL: DO NOT STOP** - This is a continuous multi-phase workflow. After executing all attached tasks, you MUST immediately collapse them and execute the next phase. Workflow is NOT complete until Phase 10 (UI assembly) finishes.
## Parameter Requirements
@@ -310,13 +355,16 @@ detect_target_type(target_list):
```
### Phase 6: Code Import & Completeness Assessment (Conditional)
```bash
**Step 6.1: Dispatch** - Import design system from code files
```javascript
IF design_source IN ["code_only", "hybrid"]:
REPORT: "🔍 Phase 6: Code Import ({design_source})"
command = "/workflow:ui-design:import-from-code --design-id \"{design_id}\" --source \"{code_base_path}\""
TRY:
# SlashCommand invocation ATTACHES import-from-code's tasks to current workflow
# SlashCommand dispatch ATTACHES import-from-code's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself:
# - Phase 0: Discover and categorize code files
# - Phase 1.1-1.3: Style/Animation/Layout Agent extraction
@@ -420,7 +468,10 @@ IF design_source IN ["code_only", "hybrid"]:
```
### Phase 7: Style Extraction
```bash
**Step 7.1: Dispatch** - Extract style design systems
```javascript
IF design_source == "visual_only" OR needs_visual_supplement:
REPORT: "🎨 Phase 7: Style Extraction (variants: {style_variants})"
command = "/workflow:ui-design:style-extract --design-id \"{design_id}\" " +
@@ -428,7 +479,7 @@ IF design_source == "visual_only" OR needs_visual_supplement:
(prompt_text ? "--prompt \"{prompt_text}\" " : "") +
"--variants {style_variants} --interactive"
# SlashCommand invocation ATTACHES style-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES style-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -438,7 +489,10 @@ ELSE:
```
### Phase 8: Animation Extraction
```bash
**Step 8.1: Dispatch** - Extract animation patterns
```javascript
# Determine if animation extraction is needed
should_extract_animation = false
@@ -468,7 +522,7 @@ IF should_extract_animation:
command = " ".join(command_parts)
# SlashCommand invocation ATTACHES animation-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES animation-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -481,7 +535,10 @@ ELSE:
```
### Phase 9: Layout Extraction
```bash
**Step 9.1: Dispatch** - Extract layout templates
```javascript
targets_string = ",".join(inferred_target_list)
IF (design_source == "visual_only" OR needs_visual_supplement) OR (NOT layout_complete):
@@ -491,7 +548,7 @@ IF (design_source == "visual_only" OR needs_visual_supplement) OR (NOT layout_co
(prompt_text ? "--prompt \"{prompt_text}\" " : "") +
"--targets \"{targets_string}\" --variants {layout_variants} --device-type \"{device_type}\" --interactive"
# SlashCommand invocation ATTACHES layout-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES layout-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -501,7 +558,10 @@ ELSE:
```
### Phase 10: UI Assembly
```bash
**Step 10.1: Dispatch** - Assemble UI prototypes from design tokens and layout templates
```javascript
command = "/workflow:ui-design:generate --design-id \"{design_id}\"" + (--session ? " --session {session_id}" : "")
total = style_variants × layout_variants × len(inferred_target_list)
@@ -511,7 +571,7 @@ REPORT: " → Pure assembly: Combining layout templates + design tokens"
REPORT: " → Device: {device_type} (from layout templates)"
REPORT: " → Assembly tasks: {total} combinations"
# SlashCommand invocation ATTACHES generate's tasks to current workflow
# SlashCommand dispatch ATTACHES generate's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -528,32 +588,35 @@ SlashCommand(command)
```javascript
// Initialize IMMEDIATELY after Phase 5 user confirmation to track multi-phase execution (4 orchestrator-level tasks)
TodoWrite({todos: [
{"content": "Execute style extraction", "status": "in_progress", "activeForm": "Executing style extraction"},
{"content": "Execute animation extraction", "status": "pending", "activeForm": "Executing animation extraction"},
{"content": "Execute layout extraction", "status": "pending", "activeForm": "Executing layout extraction"},
{"content": "Execute UI assembly", "status": "pending", "activeForm": "Executing UI assembly"}
{"content": "Phase 7: Style Extraction", "status": "in_progress", "activeForm": "Executing style extraction"},
{"content": "Phase 8: Animation Extraction", "status": "pending", "activeForm": "Executing animation extraction"},
{"content": "Phase 9: Layout Extraction", "status": "pending", "activeForm": "Executing layout extraction"},
{"content": "Phase 10: UI Assembly", "status": "pending", "activeForm": "Executing UI assembly"}
]})
// ⚠️ CRITICAL: Dynamic TodoWrite task attachment strategy:
//
// **Key Concept**: SlashCommand invocation ATTACHES tasks to current workflow.
// **Key Concept**: SlashCommand dispatch ATTACHES tasks to current workflow.
// Orchestrator EXECUTES these attached tasks itself, not waiting for external completion.
//
// Phase 7-10 SlashCommand Invocation Pattern:
// 1. SlashCommand invocation ATTACHES sub-command tasks to TodoWrite
// 2. TodoWrite expands to include attached tasks
// 3. Orchestrator EXECUTES attached tasks sequentially
// 4. After all attached tasks complete, COLLAPSE them into phase summary
// 5. Update next phase to in_progress
// 6. IMMEDIATELY execute next phase (auto-continue)
// 7. After Phase 10 completes, workflow finishes (generate command handles preview files)
// Phase 7-10 SlashCommand Dispatch Pattern (when tasks are attached):
// Example - Phase 7 with sub-tasks:
// [
// {"content": "Phase 7: Style Extraction", "status": "in_progress", "activeForm": "Executing style extraction"},
// {"content": " → Analyze style references", "status": "in_progress", "activeForm": "Analyzing style references"},
// {"content": " → Generate style variants", "status": "pending", "activeForm": "Generating style variants"},
// {"content": " → Create design tokens", "status": "pending", "activeForm": "Creating design tokens"},
// {"content": "Phase 8: Animation Extraction", "status": "pending", "activeForm": "Executing animation extraction"},
// ...
// ]
//
// After sub-tasks complete, COLLAPSE back to:
// [
// {"content": "Phase 7: Style Extraction", "status": "completed", "activeForm": "Executing style extraction"},
// {"content": "Phase 8: Animation Extraction", "status": "in_progress", "activeForm": "Executing animation extraction"},
// ...
// ]
//
// Benefits:
// ✓ Real-time visibility into sub-command task progress
// ✓ Clean orchestrator-level summary after each phase
// ✓ Clear mental model: SlashCommand = attach tasks, not delegate work
// ✓ Generate command handles preview generation autonomously
// ✓ Dynamic attachment/collapse maintains clarity
```
## Completion Output

View File

@@ -21,6 +21,36 @@ Pure assembler that combines pre-extracted layout templates with design tokens t
- `/workflow:ui-design:style-extract` → Complete design systems (design-tokens.json + style-guide.md)
- `/workflow:ui-design:layout-extract` → Layout structure
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-id, --session
└─ Decision (base path resolution):
├─ --design-id provided → Exact match by design ID
├─ --session provided → Latest in session
└─ No flags → Latest globally
Phase 1: Setup & Validation
├─ Step 1: Resolve base path & parse configuration
├─ Step 2: Load layout templates
├─ Step 3: Validate design tokens
└─ Step 4: Load animation tokens (optional)
Phase 2: Assembly (Agent)
├─ Step 1: Calculate agent grouping plan
│ └─ Grouping rules:
│ ├─ Style isolation: Each agent processes ONE style
│ ├─ Balanced distribution: Layouts evenly split
│ └─ Max 10 layouts per agent, max 6 concurrent agents
├─ Step 2: Launch batched assembly tasks (parallel)
└─ Step 3: Verify generated files
Phase 3: Generate Preview Files
├─ Step 1: Run preview generation script
└─ Step 2: Verify preview files
```
## Phase 1: Setup & Validation
### Step 1: Resolve Base Path & Parse Configuration
@@ -290,7 +320,7 @@ Read({base_path}/prototypes/{target}-style-{style_id}-layout-{layout_id}.html)
### Step 1: Run Preview Generation Script
```bash
bash(~/.claude/scripts/ui-generate-preview.sh "{base_path}/prototypes")
bash(ccw tool exec ui_generate_preview '{"prototypesDir":"{base_path}/prototypes"}')
```
**Script generates**:
@@ -402,7 +432,7 @@ bash(test -f {base_path}/prototypes/compare.html && echo "exists")
bash(mkdir -p {base_path}/prototypes)
# Run preview script
bash(~/.claude/scripts/ui-generate-preview.sh "{base_path}/prototypes")
bash(ccw tool exec ui_generate_preview '{"prototypesDir":"{base_path}/prototypes"}')
```
## Output Structure
@@ -437,7 +467,7 @@ ERROR: Agent assembly failed
→ Check inputs exist, validate JSON structure
ERROR: Script permission denied
chmod +x ~/.claude/scripts/ui-generate-preview.sh
Verify ccw tool is available: ccw tool list
```
### Recovery Strategies

View File

@@ -26,7 +26,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Write(*), Bash(*)
7. Phase 4: Design system integration → **Execute orchestrator task** → Reports completion
**Phase Transition Mechanism**:
- **Task Attachment**: `SlashCommand` invocation **ATTACHES** tasks to current workflow
- **Task Attachment**: SlashCommand dispatch **ATTACHES** tasks to current workflow
- **Task Execution**: Orchestrator **EXECUTES** these attached tasks itself
- **Task Collapse**: After tasks complete, collapse them into phase summary
- **Phase Transition**: Automatically execute next phase after collapsing
@@ -34,7 +34,51 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Write(*), Bash(*)
**Auto-Continue Mechanism**: TodoWrite tracks phase status with dynamic task attachment/collapse. After executing all attached tasks, you MUST immediately collapse them, restore phase summary, and execute the next phase. No user intervention required. The workflow is NOT complete until reaching Phase 4.
**Task Attachment Model**: SlashCommand invocation is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
**Task Attachment Model**: SlashCommand dispatch is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
## Execution Process
```
Input Parsing:
├─ Parse flags: --input, --session (legacy: --images, --prompt)
└─ Decision (input detection):
├─ Contains * or glob matches → images_input (visual)
├─ File/directory exists → code import source
└─ Pure text → design prompt
Phase 0: Parameter Parsing & Input Detection
├─ Step 1: Normalize parameters (legacy deprecation warning)
├─ Step 2: Detect design source (hybrid | code_only | visual_only)
└─ Step 3: Initialize directories and metadata
Phase 0.5: Code Import (Conditional)
└─ Decision (design_source):
├─ hybrid → Dispatch /workflow:ui-design:import-from-code
└─ Other → Skip to Phase 2
Phase 2: Style Extraction
└─ Decision (skip_style):
├─ code_only AND style_complete → Use code import
└─ Otherwise → Dispatch /workflow:ui-design:style-extract
Phase 2.3: Animation Extraction
└─ Decision (skip_animation):
├─ code_only AND animation_complete → Use code import
└─ Otherwise → Dispatch /workflow:ui-design:animation-extract
Phase 2.5: Layout Extraction
└─ Decision (skip_layout):
├─ code_only AND layout_complete → Use code import
└─ Otherwise → Dispatch /workflow:ui-design:layout-extract
Phase 3: UI Assembly
└─ Dispatch /workflow:ui-design:generate
Phase 4: Design System Integration
└─ Decision (session_id):
├─ Provided → Dispatch /workflow:ui-design:update
└─ Not provided → Standalone completion
```
## Core Rules
@@ -42,7 +86,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Write(*), Bash(*)
2. **No Preliminary Validation**: Sub-commands handle their own validation
3. **Parse & Pass**: Extract data from each output for next phase
4. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
5. **⚠️ CRITICAL: Task Attachment Model** - SlashCommand invocation **ATTACHES** tasks to current workflow. Orchestrator **EXECUTES** these attached tasks itself, not waiting for external completion. This is NOT delegation - it's task expansion.
5. **⚠️ CRITICAL: Task Attachment Model** - SlashCommand dispatch **ATTACHES** tasks to current workflow. Orchestrator **EXECUTES** these attached tasks itself, not waiting for external completion. This is NOT delegation - it's task expansion.
6. **⚠️ CRITICAL: DO NOT STOP** - This is a continuous multi-phase workflow. After executing all attached tasks, you MUST immediately collapse them and execute the next phase. Workflow is NOT complete until Phase 4.
## Parameter Requirements
@@ -232,7 +276,9 @@ TodoWrite({todos: [
### Phase 0.5: Code Import & Completeness Assessment (Conditional)
```bash
**Step 0.5.1: Dispatch** - Import design system from code files
```javascript
# Only execute if code files detected
IF design_source == "hybrid":
REPORT: "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
@@ -245,7 +291,7 @@ IF design_source == "hybrid":
"--source \"{code_base_path}\""
TRY:
# SlashCommand invocation ATTACHES import-from-code's tasks to current workflow
# SlashCommand dispatch ATTACHES import-from-code's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself:
# - Phase 0: Discover and categorize code files
# - Phase 1.1-1.3: Style/Animation/Layout Agent extraction
@@ -336,7 +382,9 @@ TodoWrite(mark_completed: "Initialize and detect design source",
### Phase 2: Style Extraction
```bash
**Step 2.1: Dispatch** - Extract style design system
```javascript
# Determine if style extraction needed
skip_style = (design_source == "code_only" AND style_complete)
@@ -361,7 +409,7 @@ ELSE:
extract_command = " ".join(command_parts)
# SlashCommand invocation ATTACHES style-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES style-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(extract_command)
@@ -371,7 +419,9 @@ ELSE:
### Phase 2.3: Animation Extraction
```bash
**Step 2.3.1: Dispatch** - Extract animation patterns
```javascript
skip_animation = (design_source == "code_only" AND animation_complete)
IF skip_animation:
@@ -392,7 +442,7 @@ ELSE:
animation_extract_command = " ".join(command_parts)
# SlashCommand invocation ATTACHES animation-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES animation-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(animation_extract_command)
@@ -402,7 +452,9 @@ ELSE:
### Phase 2.5: Layout Extraction
```bash
**Step 2.5.1: Dispatch** - Extract layout templates
```javascript
skip_layout = (design_source == "code_only" AND layout_complete)
IF skip_layout:
@@ -425,7 +477,7 @@ ELSE:
layout_extract_command = " ".join(command_parts)
# SlashCommand invocation ATTACHES layout-extract's tasks to current workflow
# SlashCommand dispatch ATTACHES layout-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(layout_extract_command)
@@ -435,11 +487,13 @@ ELSE:
### Phase 3: UI Assembly
```bash
**Step 3.1: Dispatch** - Assemble UI prototypes from design tokens and layout templates
```javascript
REPORT: "🚀 Phase 3: UI Assembly"
generate_command = f"/workflow:ui-design:generate --design-id \"{design_id}\""
# SlashCommand invocation ATTACHES generate's tasks to current workflow
# SlashCommand dispatch ATTACHES generate's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(generate_command)
@@ -449,12 +503,14 @@ TodoWrite(mark_completed: "Assemble UI", mark_in_progress: session_id ? "Integra
### Phase 4: Design System Integration
```bash
**Step 4.1: Dispatch** - Integrate design system into workflow session
```javascript
IF session_id:
REPORT: "🚀 Phase 4: Design System Integration"
update_command = f"/workflow:ui-design:update --session {session_id}"
# SlashCommand invocation ATTACHES update's tasks to current workflow
# SlashCommand dispatch ATTACHES update's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(update_command)
@@ -570,32 +626,39 @@ ELSE:
```javascript
// Initialize IMMEDIATELY at start of Phase 0 to track multi-phase execution (6 orchestrator-level tasks)
TodoWrite({todos: [
{content: "Initialize and detect design source", status: "in_progress", activeForm: "Initializing"},
{content: "Extract style (complete design systems)", status: "pending", activeForm: "Extracting style"},
{content: "Extract animation (CSS auto mode)", status: "pending", activeForm: "Extracting animation"},
{content: "Extract layout (structure templates)", status: "pending", activeForm: "Extracting layout"},
{content: "Assemble UI prototypes", status: "pending", activeForm: "Assembling UI"},
{content: "Integrate design system", status: "pending", activeForm: "Integrating"}
{content: "Phase 0: Initialize and Detect Design Source", status: "in_progress", activeForm: "Initializing"},
{content: "Phase 2: Style Extraction", status: "pending", activeForm: "Extracting style"},
{content: "Phase 2.3: Animation Extraction", status: "pending", activeForm: "Extracting animation"},
{content: "Phase 2.5: Layout Extraction", status: "pending", activeForm: "Extracting layout"},
{content: "Phase 3: UI Assembly", status: "pending", activeForm: "Assembling UI"},
{content: "Phase 4: Design System Integration", status: "pending", activeForm: "Integrating"}
]})
// ⚠️ CRITICAL: Dynamic TodoWrite task attachment strategy:
//
// **Key Concept**: SlashCommand invocation ATTACHES tasks to current workflow.
// **Key Concept**: SlashCommand dispatch ATTACHES tasks to current workflow.
// Orchestrator EXECUTES these attached tasks itself, not waiting for external completion.
//
// Phase 2-4 SlashCommand Invocation Pattern:
// 1. SlashCommand invocation ATTACHES sub-command tasks to TodoWrite
// 2. TodoWrite expands to include attached tasks
// 3. Orchestrator EXECUTES attached tasks sequentially
// 4. After all attached tasks complete, COLLAPSE them into phase summary
// 5. Update next phase to in_progress
// 6. IMMEDIATELY execute next phase SlashCommand (auto-continue)
// Phase 2-4 SlashCommand Dispatch Pattern (when tasks are attached):
// Example - Phase 2 with sub-tasks:
// [
// {"content": "Phase 0: Initialize and Detect Design Source", "status": "completed", "activeForm": "Initializing"},
// {"content": "Phase 2: Style Extraction", "status": "in_progress", "activeForm": "Extracting style"},
// {"content": " → Analyze design references", "status": "in_progress", "activeForm": "Analyzing references"},
// {"content": " → Generate design tokens", "status": "pending", "activeForm": "Generating tokens"},
// {"content": " → Create style guide", "status": "pending", "activeForm": "Creating guide"},
// {"content": "Phase 2.3: Animation Extraction", "status": "pending", "activeForm": "Extracting animation"},
// ...
// ]
//
// After sub-tasks complete, COLLAPSE back to:
// [
// {"content": "Phase 0: Initialize and Detect Design Source", "status": "completed", "activeForm": "Initializing"},
// {"content": "Phase 2: Style Extraction", "status": "completed", "activeForm": "Extracting style"},
// {"content": "Phase 2.3: Animation Extraction", "status": "in_progress", "activeForm": "Extracting animation"},
// ...
// ]
//
// Benefits:
// ✓ Real-time visibility into sub-command task progress
// ✓ Clean orchestrator-level summary after each phase
// ✓ Clear mental model: SlashCommand = attach tasks, not delegate work
// ✓ Dynamic attachment/collapse maintains clarity
```
## Error Handling
@@ -639,7 +702,7 @@ TodoWrite({todos: [
- **Input**: `--images` (glob pattern) and/or `--prompt` (text/file paths) + optional `--session`
- **Output**: Complete design system in `{base_path}/` (style-extraction, layout-extraction, prototypes)
- **Sub-commands Called**:
- **Sub-commands Dispatched**:
1. `/workflow:ui-design:import-from-code` (Phase 0.5, conditional - if code files detected)
2. `/workflow:ui-design:style-extract` (Phase 2 - complete design systems)
3. `/workflow:ui-design:animation-extract` (Phase 2.3 - animation tokens)

View File

@@ -43,6 +43,25 @@ Extract design system tokens from source code files (CSS/SCSS/JS/TS/HTML) using
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-id, --session, --source
└─ Decision (base path resolution):
├─ --design-id provided → Exact match by design ID
├─ --session provided → Latest design run in session
└─ Neither → ERROR: Must provide --design-id or --session
Phase 0: Setup & File Discovery
├─ Step 1: Resolve base path
├─ Step 2: Initialize directories
└─ Step 3: Discover files using script
Phase 1: Parallel Agent Analysis (3 agents)
├─ Style Agent → design-tokens.json + code_snippets
├─ Animation Agent → animation-tokens.json + code_snippets
└─ Layout Agent → layout-templates.json + code_snippets
```
### Step 1: Setup & File Discovery
**Purpose**: Initialize session, discover and categorize code files
@@ -87,7 +106,7 @@ echo " Output: $base_path"
# 3. Discover files using script
discovery_file="${intermediates_dir}/discovered-files.json"
~/.claude/scripts/discover-design-files.sh "$source" "$discovery_file"
ccw tool exec discover_design_files '{"sourceDir":"'"$source"'","outputPath":"'"$discovery_file"'"}'
echo " Output: $discovery_file"
```
@@ -142,6 +161,7 @@ echo "[Phase 1] Starting parallel agent analysis (3 agents)"
```javascript
Task(subagent_type="ui-design-agent",
run_in_background=false,
prompt="[STYLE_TOKENS_EXTRACTION]
Extract visual design tokens from code files using code import extraction pattern.
@@ -161,14 +181,14 @@ Task(subagent_type="ui-design-agent",
- Pattern: rg → Extract values → Compare → If different → Read full context with comments → Record conflict
- Alternative (if many files): Execute CLI analysis for comprehensive report:
\`\`\`bash
cd ${source} && gemini -p \"
ccw cli -p \"
PURPOSE: Detect color token conflicts across all CSS/SCSS/JS files
TASK: • Scan all files for color definitions • Identify conflicting values • Extract semantic comments
MODE: analysis
CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts
EXPECTED: JSON report listing conflicts with file:line, values, semantic context
RULES: Focus on core tokens | Report ALL variants | analysis=READ-ONLY
\"
\" --tool gemini --mode analysis --cd ${source}
\`\`\`
**Step 1: Load file list**
@@ -257,6 +277,7 @@ Task(subagent_type="ui-design-agent",
```javascript
Task(subagent_type="ui-design-agent",
run_in_background=false,
prompt="[ANIMATION_TOKEN_GENERATION_TASK]
Extract animation tokens from code files using code import extraction pattern.
@@ -276,14 +297,14 @@ Task(subagent_type="ui-design-agent",
- Pattern: rg → Identify animation types → Map framework usage → Prioritize extraction targets
- Alternative (if complex framework mix): Execute CLI analysis for comprehensive report:
\`\`\`bash
cd ${source} && gemini -p \"
ccw cli -p \"
PURPOSE: Detect animation frameworks and patterns
TASK: • Identify frameworks • Map animation patterns • Categorize by complexity
MODE: analysis
CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts
EXPECTED: JSON report listing frameworks, animation types, file locations
RULES: Focus on framework consistency | Map all animations | analysis=READ-ONLY
\"
\" --tool gemini --mode analysis --cd ${source}
\`\`\`
**Step 1: Load file list**
@@ -336,6 +357,7 @@ Task(subagent_type="ui-design-agent",
```javascript
Task(subagent_type="ui-design-agent",
run_in_background=false,
prompt="[LAYOUT_TEMPLATE_GENERATION_TASK]
Extract layout patterns from code files using code import extraction pattern.
@@ -355,14 +377,14 @@ Task(subagent_type="ui-design-agent",
- Pattern: rg → Count occurrences → Classify by frequency → Prioritize universal components
- Alternative (if large codebase): Execute CLI analysis for comprehensive categorization:
\`\`\`bash
cd ${source} && gemini -p \"
ccw cli -p \"
PURPOSE: Classify components as universal vs specialized
TASK: • Identify UI components • Classify reusability • Map layout systems
MODE: analysis
CONTEXT: @**/*.css @**/*.scss @**/*.js @**/*.ts @**/*.html
EXPECTED: JSON report categorizing components, layout patterns, naming conventions
RULES: Focus on component reusability | Identify layout systems | analysis=READ-ONLY
\"
\" --tool gemini --mode analysis --cd ${source}
\`\`\`
**Step 1: Load file list**

View File

@@ -23,6 +23,39 @@ This command separates the "scaffolding" (HTML structure and CSS layout) from th
- **Device-Aware**: Optimized for specific device types (desktop, mobile, tablet, responsive)
- **Token-Based**: CSS uses `var()` placeholders for spacing and breakpoints
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-id, --session, --images, --prompt, --targets, --variants, --device-type, --interactive, --refine
└─ Decision (mode detection):
├─ --refine flag → Refinement Mode (variants_count = 1)
└─ No --refine → Exploration Mode (variants_count = --variants OR 3)
Phase 0: Setup & Input Validation
├─ Step 1: Detect input, mode & targets
├─ Step 2: Load inputs & create directories
└─ Step 3: Memory check (skip if cached)
Phase 1: Layout Concept/Refinement Options Generation
├─ Step 0.5: Load existing layout (Refinement Mode only)
├─ Step 1: Generate options (Agent Task 1)
│ └─ Decision:
│ ├─ Exploration Mode → Generate contrasting layout concepts
│ └─ Refinement Mode → Generate refinement options
└─ Step 2: Verify options file created
Phase 1.5: User Confirmation (Optional)
└─ Decision (--interactive flag):
├─ --interactive present → Present options, capture selection
└─ No --interactive → Skip to Phase 2
Phase 2: Layout Template Generation
├─ Step 1: Load user selections or default to all
├─ Step 2: Launch parallel agent tasks
└─ Step 3: Verify output files
```
## Phase 0: Setup & Input Validation
### Step 1: Detect Input, Mode & Targets

View File

@@ -33,6 +33,29 @@ Converts design run extraction results into shareable reference package with:
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-run, --package-name, --output-dir
└─ Validation:
├─ --design-run and --package-name REQUIRED
└─ Package name format: lowercase, alphanumeric, hyphens only
Phase 0: Setup & Validation
├─ Step 1: Validate required parameters
├─ Step 2: Validate package name format
├─ Step 3: Validate design run exists
├─ Step 4: Check required extraction files (design-tokens.json, layout-templates.json)
└─ Step 5: Setup output directory
Phase 1: Prepare Component Data
├─ Step 1: Copy layout templates
├─ Step 2: Copy design tokens
└─ Step 3: Copy animation tokens (optional)
Phase 2: Preview Generation (Agent)
└─ Generate preview.html + preview.css via ui-design-agent
```
### Phase 0: Setup & Validation
**Purpose**: Validate inputs, prepare output directory

View File

@@ -19,6 +19,43 @@ Extract design style from reference images or text prompts using Claude's built-
- **Dual Mode**: Exploration (multiple contrasting variants) or Refinement (single design fine-tuning)
- **Production-Ready**: WCAG AA compliant, OKLCH colors, semantic naming
## Execution Process
```
Input Parsing:
├─ Parse flags: --design-id, --session, --images, --prompt, --variants, --interactive, --refine
└─ Decision (mode detection):
├─ --refine flag → Refinement Mode (variants_count = 1)
└─ No --refine → Exploration Mode (variants_count = --variants OR 3)
Phase 0: Setup & Input Validation
├─ Step 1: Detect input mode, extraction mode & base path
├─ Step 2: Load inputs
└─ Step 3: Memory check (skip if exists)
Phase 1: Design Direction/Refinement Options Generation
├─ Step 1: Load project context
├─ Step 2: Generate options (Agent Task 1)
│ └─ Decision:
│ ├─ Exploration Mode → Generate contrasting design directions
│ └─ Refinement Mode → Generate refinement options
└─ Step 3: Verify options file created
Phase 1.5: User Confirmation (Optional)
└─ Decision (--interactive flag):
├─ --interactive present → Present options, capture selection
└─ No --interactive → Skip to Phase 2
Phase 2: Design System Generation
├─ Step 1: Load user selection or default to all
├─ Step 2: Create output directories
└─ Step 3: Launch agent tasks (parallel)
Phase 3: Verify Output
├─ Step 1: Check files created
└─ Step 2: Verify file sizes
```
## Phase 0: Setup & Input Validation
### Step 1: Detect Input Mode, Extraction Mode & Base Path

View File

@@ -1,35 +0,0 @@
#!/bin/bash
# Classify folders by type for documentation generation
# Usage: get_modules_by_depth.sh | classify-folders.sh
# Output: folder_path|folder_type|code:N|dirs:N
while IFS='|' read -r depth_info path_info files_info types_info claude_info; do
# Extract folder path from format "path:./src/modules"
folder_path=$(echo "$path_info" | cut -d':' -f2-)
# Skip if path extraction failed
[[ -z "$folder_path" || ! -d "$folder_path" ]] && continue
# Count code files (maxdepth 1)
code_files=$(find "$folder_path" -maxdepth 1 -type f \
\( -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" \
-o -name "*.py" -o -name "*.go" -o -name "*.java" -o -name "*.rs" \
-o -name "*.c" -o -name "*.cpp" -o -name "*.cs" \) \
2>/dev/null | wc -l)
# Count subdirectories
subfolders=$(find "$folder_path" -maxdepth 1 -type d \
-not -path "$folder_path" 2>/dev/null | wc -l)
# Determine folder type
if [[ $code_files -gt 0 ]]; then
folder_type="code" # API.md + README.md
elif [[ $subfolders -gt 0 ]]; then
folder_type="navigation" # README.md only
else
folder_type="skip" # Empty or no relevant content
fi
# Output classification result
echo "${folder_path}|${folder_type}|code:${code_files}|dirs:${subfolders}"
done

View File

@@ -1,225 +0,0 @@
#!/bin/bash
# Convert design-tokens.json to tokens.css with Google Fonts import and global font rules
# Usage: cat design-tokens.json | ./convert_tokens_to_css.sh > tokens.css
# Or: ./convert_tokens_to_css.sh < design-tokens.json > tokens.css
# Read JSON from stdin
json_input=$(cat)
# Extract metadata for header comment
style_name=$(echo "$json_input" | jq -r '.meta.name // "Unknown Style"' 2>/dev/null || echo "Design Tokens")
# Generate header
cat <<EOF
/* ========================================
Design Tokens: ${style_name}
Auto-generated from design-tokens.json
======================================== */
EOF
# ========================================
# Google Fonts Import Generation
# ========================================
# Extract font families and generate Google Fonts import URL
fonts=$(echo "$json_input" | jq -r '
.typography.font_family | to_entries[] | .value
' 2>/dev/null | sed "s/'//g" | cut -d',' -f1 | sort -u)
# Build Google Fonts URL
google_fonts_url="https://fonts.googleapis.com/css2?"
font_params=""
while IFS= read -r font; do
# Skip system fonts and empty lines
if [[ -z "$font" ]] || [[ "$font" =~ ^(system-ui|sans-serif|serif|monospace|cursive|fantasy)$ ]]; then
continue
fi
# Special handling for common web fonts with weights
case "$font" in
"Comic Neue")
font_params+="family=Comic+Neue:wght@300;400;700&"
;;
"Patrick Hand"|"Caveat"|"Dancing Script"|"Architects Daughter"|"Indie Flower"|"Shadows Into Light"|"Permanent Marker")
# URL-encode font name and add common weights
encoded_font=$(echo "$font" | sed 's/ /+/g')
font_params+="family=${encoded_font}:wght@400;700&"
;;
"Segoe Print"|"Bradley Hand"|"Chilanka")
# These are system fonts, skip
;;
*)
# Generic font: add with default weights
encoded_font=$(echo "$font" | sed 's/ /+/g')
font_params+="family=${encoded_font}:wght@400;500;600;700&"
;;
esac
done <<< "$fonts"
# Generate @import if we have fonts
if [[ -n "$font_params" ]]; then
# Remove trailing &
font_params="${font_params%&}"
echo "/* Import Web Fonts */"
echo "@import url('${google_fonts_url}${font_params}&display=swap');"
echo ""
fi
# ========================================
# CSS Custom Properties Generation
# ========================================
echo ":root {"
# Colors - Brand
echo " /* Colors - Brand */"
echo "$json_input" | jq -r '
.colors.brand | to_entries[] |
" --color-brand-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Colors - Surface
echo " /* Colors - Surface */"
echo "$json_input" | jq -r '
.colors.surface | to_entries[] |
" --color-surface-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Colors - Semantic
echo " /* Colors - Semantic */"
echo "$json_input" | jq -r '
.colors.semantic | to_entries[] |
" --color-semantic-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Colors - Text
echo " /* Colors - Text */"
echo "$json_input" | jq -r '
.colors.text | to_entries[] |
" --color-text-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Colors - Border
echo " /* Colors - Border */"
echo "$json_input" | jq -r '
.colors.border | to_entries[] |
" --color-border-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Typography - Font Family
echo " /* Typography - Font Family */"
echo "$json_input" | jq -r '
.typography.font_family | to_entries[] |
" --font-family-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Typography - Font Size
echo " /* Typography - Font Size */"
echo "$json_input" | jq -r '
.typography.font_size | to_entries[] |
" --font-size-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Typography - Font Weight
echo " /* Typography - Font Weight */"
echo "$json_input" | jq -r '
.typography.font_weight | to_entries[] |
" --font-weight-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Typography - Line Height
echo " /* Typography - Line Height */"
echo "$json_input" | jq -r '
.typography.line_height | to_entries[] |
" --line-height-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Typography - Letter Spacing
echo " /* Typography - Letter Spacing */"
echo "$json_input" | jq -r '
.typography.letter_spacing | to_entries[] |
" --letter-spacing-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Spacing
echo " /* Spacing */"
echo "$json_input" | jq -r '
.spacing | to_entries[] |
" --spacing-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Border Radius
echo " /* Border Radius */"
echo "$json_input" | jq -r '
.border_radius | to_entries[] |
" --border-radius-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Shadows
echo " /* Shadows */"
echo "$json_input" | jq -r '
.shadows | to_entries[] |
" --shadow-\(.key): \(.value);"
' 2>/dev/null
echo ""
# Breakpoints
echo " /* Breakpoints */"
echo "$json_input" | jq -r '
.breakpoints | to_entries[] |
" --breakpoint-\(.key): \(.value);"
' 2>/dev/null
echo "}"
echo ""
# ========================================
# Global Font Application
# ========================================
echo "/* ========================================"
echo " Global Font Application"
echo " ======================================== */"
echo ""
echo "body {"
echo " font-family: var(--font-family-body);"
echo " font-size: var(--font-size-base);"
echo " line-height: var(--line-height-normal);"
echo " color: var(--color-text-primary);"
echo " background-color: var(--color-surface-background);"
echo "}"
echo ""
echo "h1, h2, h3, h4, h5, h6, legend {"
echo " font-family: var(--font-family-heading);"
echo "}"
echo ""
echo "/* Reset default margins for better control */"
echo "* {"
echo " margin: 0;"
echo " padding: 0;"
echo " box-sizing: border-box;"
echo "}"

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#!/bin/bash
# Detect modules affected by git changes or recent modifications
# Usage: detect_changed_modules.sh [format]
# format: list|grouped|paths (default: paths)
#
# Features:
# - Respects .gitignore patterns (current directory or git root)
# - Detects git changes (staged, unstaged, or last commit)
# - Falls back to recently modified files (last 24 hours)
# Build exclusion filters from .gitignore
build_exclusion_filters() {
local filters=""
# Common system/cache directories to exclude
local system_excludes=(
".git" "__pycache__" "node_modules" ".venv" "venv" "env"
"dist" "build" ".cache" ".pytest_cache" ".mypy_cache"
"coverage" ".nyc_output" "logs" "tmp" "temp"
)
for exclude in "${system_excludes[@]}"; do
filters+=" -not -path '*/$exclude' -not -path '*/$exclude/*'"
done
# Find and parse .gitignore (current dir first, then git root)
local gitignore_file=""
# Check current directory first
if [ -f ".gitignore" ]; then
gitignore_file=".gitignore"
else
# Try to find git root and check for .gitignore there
local git_root=$(git rev-parse --show-toplevel 2>/dev/null)
if [ -n "$git_root" ] && [ -f "$git_root/.gitignore" ]; then
gitignore_file="$git_root/.gitignore"
fi
fi
# Parse .gitignore if found
if [ -n "$gitignore_file" ]; then
while IFS= read -r line; do
# Skip empty lines and comments
[[ -z "$line" || "$line" =~ ^[[:space:]]*# ]] && continue
# Remove trailing slash and whitespace
line=$(echo "$line" | sed 's|/$||' | xargs)
# Skip wildcards patterns (too complex for simple find)
[[ "$line" =~ \* ]] && continue
# Add to filters
filters+=" -not -path '*/$line' -not -path '*/$line/*'"
done < "$gitignore_file"
fi
echo "$filters"
}
detect_changed_modules() {
local format="${1:-paths}"
local changed_files=""
local affected_dirs=""
local exclusion_filters=$(build_exclusion_filters)
# Step 1: Try to get git changes (staged + unstaged)
if git rev-parse --git-dir > /dev/null 2>&1; then
changed_files=$(git diff --name-only HEAD 2>/dev/null; git diff --name-only --cached 2>/dev/null)
# If no changes in working directory, check last commit
if [ -z "$changed_files" ]; then
changed_files=$(git diff --name-only HEAD~1 HEAD 2>/dev/null)
fi
fi
# Step 2: If no git changes, find recently modified source files (last 24 hours)
# Apply exclusion filters from .gitignore
if [ -z "$changed_files" ]; then
changed_files=$(eval "find . -type f \( \
-name '*.md' -o \
-name '*.js' -o -name '*.ts' -o -name '*.jsx' -o -name '*.tsx' -o \
-name '*.py' -o -name '*.go' -o -name '*.rs' -o \
-name '*.java' -o -name '*.cpp' -o -name '*.c' -o -name '*.h' -o \
-name '*.sh' -o -name '*.ps1' -o \
-name '*.json' -o -name '*.yaml' -o -name '*.yml' \
\) $exclusion_filters -mtime -1 2>/dev/null")
fi
# Step 3: Extract unique parent directories
if [ -n "$changed_files" ]; then
affected_dirs=$(echo "$changed_files" | \
sed 's|/[^/]*$||' | \
grep -v '^\.$' | \
sort -u)
# Add current directory if files are in root
if echo "$changed_files" | grep -q '^[^/]*$'; then
affected_dirs=$(echo -e ".\n$affected_dirs" | sort -u)
fi
fi
# Step 4: Output in requested format
case "$format" in
"list")
if [ -n "$affected_dirs" ]; then
echo "$affected_dirs" | while read dir; do
if [ -d "$dir" ]; then
local file_count=$(find "$dir" -maxdepth 1 -type f 2>/dev/null | wc -l)
local depth=$(echo "$dir" | tr -cd '/' | wc -c)
if [ "$dir" = "." ]; then depth=0; fi
local types=$(find "$dir" -maxdepth 1 -type f -name "*.*" 2>/dev/null | \
grep -E '\.[^/]*$' | sed 's/.*\.//' | sort -u | tr '\n' ',' | sed 's/,$//')
local has_claude="no"
[ -f "$dir/CLAUDE.md" ] && has_claude="yes"
echo "depth:$depth|path:$dir|files:$file_count|types:[$types]|has_claude:$has_claude|status:changed"
fi
done
fi
;;
"grouped")
if [ -n "$affected_dirs" ]; then
echo "📊 Affected modules by changes:"
# Group by depth
echo "$affected_dirs" | while read dir; do
if [ -d "$dir" ]; then
local depth=$(echo "$dir" | tr -cd '/' | wc -c)
if [ "$dir" = "." ]; then depth=0; fi
local claude_indicator=""
[ -f "$dir/CLAUDE.md" ] && claude_indicator=" [✓]"
echo "$depth:$dir$claude_indicator"
fi
done | sort -n | awk -F: '
{
if ($1 != prev_depth) {
if (prev_depth != "") print ""
print " 📁 Depth " $1 ":"
prev_depth = $1
}
print " - " $2 " (changed)"
}'
else
echo "📊 No recent changes detected"
fi
;;
"paths"|*)
echo "$affected_dirs"
;;
esac
}
# Execute function if script is run directly
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
detect_changed_modules "$@"
fi

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#!/usr/bin/env bash
# discover-design-files.sh - Discover design-related files and output JSON
# Usage: discover-design-files.sh <source_dir> <output_json>
set -euo pipefail
source_dir="${1:-.}"
output_json="${2:-discovered-files.json}"
# Function to find and format files as JSON array
find_files() {
local pattern="$1"
local files
files=$(eval "find \"$source_dir\" -type f $pattern \
! -path \"*/node_modules/*\" \
! -path \"*/dist/*\" \
! -path \"*/.git/*\" \
! -path \"*/build/*\" \
! -path \"*/coverage/*\" \
2>/dev/null | sort || true")
local count
if [ -z "$files" ]; then
count=0
else
count=$(echo "$files" | grep -c . || echo 0)
fi
local json_files=""
if [ "$count" -gt 0 ]; then
json_files=$(echo "$files" | awk '{printf "\"%s\"%s\n", $0, (NR<'$count'?",":"")}' | tr '\n' ' ')
fi
echo "$count|$json_files"
}
# Discover CSS/SCSS files
css_result=$(find_files '\( -name "*.css" -o -name "*.scss" \)')
css_count=${css_result%%|*}
css_files=${css_result#*|}
# Discover JS/TS files (all framework files)
js_result=$(find_files '\( -name "*.js" -o -name "*.ts" -o -name "*.jsx" -o -name "*.tsx" -o -name "*.mjs" -o -name "*.cjs" -o -name "*.vue" -o -name "*.svelte" \)')
js_count=${js_result%%|*}
js_files=${js_result#*|}
# Discover HTML files
html_result=$(find_files '-name "*.html"')
html_count=${html_result%%|*}
html_files=${html_result#*|}
# Calculate total
total_count=$((css_count + js_count + html_count))
# Generate JSON
cat > "$output_json" << EOF
{
"discovery_time": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
"source_directory": "$(cd "$source_dir" && pwd)",
"file_types": {
"css": {
"count": $css_count,
"files": [${css_files}]
},
"js": {
"count": $js_count,
"files": [${js_files}]
},
"html": {
"count": $html_count,
"files": [${html_files}]
}
},
"total_files": $total_count
}
EOF
# Ensure file is fully written and synchronized to disk
# This prevents race conditions when the file is immediately read by another process
sync "$output_json" 2>/dev/null || sync # Sync specific file, fallback to full sync
sleep 0.1 # Additional safety: 100ms delay for filesystem metadata update
echo "Discovered: CSS=$css_count, JS=$js_count, HTML=$html_count (Total: $total_count)" >&2

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/**
* Animation & Transition Extraction Script
*
* Extracts CSS animations, transitions, and transform patterns from a live web page.
* This script runs in the browser context via Chrome DevTools Protocol.
*
* @returns {Object} Structured animation data
*/
(() => {
const extractionTimestamp = new Date().toISOString();
const currentUrl = window.location.href;
/**
* Parse transition shorthand or individual properties
*/
function parseTransition(element, computedStyle) {
const transition = computedStyle.transition || computedStyle.webkitTransition;
if (!transition || transition === 'none' || transition === 'all 0s ease 0s') {
return null;
}
// Parse shorthand: "property duration easing delay"
const transitions = [];
const parts = transition.split(/,\s*/);
parts.forEach(part => {
const match = part.match(/^(\S+)\s+([\d.]+m?s)\s+(\S+)(?:\s+([\d.]+m?s))?/);
if (match) {
transitions.push({
property: match[1],
duration: match[2],
easing: match[3],
delay: match[4] || '0s'
});
}
});
return transitions.length > 0 ? transitions : null;
}
/**
* Extract animation name and properties
*/
function parseAnimation(element, computedStyle) {
const animationName = computedStyle.animationName || computedStyle.webkitAnimationName;
if (!animationName || animationName === 'none') {
return null;
}
return {
name: animationName,
duration: computedStyle.animationDuration || computedStyle.webkitAnimationDuration,
easing: computedStyle.animationTimingFunction || computedStyle.webkitAnimationTimingFunction,
delay: computedStyle.animationDelay || computedStyle.webkitAnimationDelay || '0s',
iterationCount: computedStyle.animationIterationCount || computedStyle.webkitAnimationIterationCount || '1',
direction: computedStyle.animationDirection || computedStyle.webkitAnimationDirection || 'normal',
fillMode: computedStyle.animationFillMode || computedStyle.webkitAnimationFillMode || 'none'
};
}
/**
* Extract transform value
*/
function parseTransform(computedStyle) {
const transform = computedStyle.transform || computedStyle.webkitTransform;
if (!transform || transform === 'none') {
return null;
}
return transform;
}
/**
* Get element selector (simplified for readability)
*/
function getSelector(element) {
if (element.id) {
return `#${element.id}`;
}
if (element.className && typeof element.className === 'string') {
const classes = element.className.trim().split(/\s+/).slice(0, 2).join('.');
if (classes) {
return `.${classes}`;
}
}
return element.tagName.toLowerCase();
}
/**
* Extract all stylesheets and find @keyframes rules
*/
function extractKeyframes() {
const keyframes = {};
try {
// Iterate through all stylesheets
Array.from(document.styleSheets).forEach(sheet => {
try {
// Skip external stylesheets due to CORS
if (sheet.href && !sheet.href.startsWith(window.location.origin)) {
return;
}
Array.from(sheet.cssRules || sheet.rules || []).forEach(rule => {
// Check for @keyframes rules
if (rule.type === CSSRule.KEYFRAMES_RULE || rule.type === CSSRule.WEBKIT_KEYFRAMES_RULE) {
const name = rule.name;
const frames = {};
Array.from(rule.cssRules || []).forEach(keyframe => {
const key = keyframe.keyText; // e.g., "0%", "50%", "100%"
frames[key] = keyframe.style.cssText;
});
keyframes[name] = frames;
}
});
} catch (e) {
// Skip stylesheets that can't be accessed (CORS)
console.warn('Cannot access stylesheet:', sheet.href, e.message);
}
});
} catch (e) {
console.error('Error extracting keyframes:', e);
}
return keyframes;
}
/**
* Scan visible elements for animations and transitions
*/
function scanElements() {
const elements = document.querySelectorAll('*');
const transitionData = [];
const animationData = [];
const transformData = [];
const uniqueTransitions = new Set();
const uniqueAnimations = new Set();
const uniqueEasings = new Set();
const uniqueDurations = new Set();
elements.forEach(element => {
// Skip invisible elements
const rect = element.getBoundingClientRect();
if (rect.width === 0 && rect.height === 0) {
return;
}
const computedStyle = window.getComputedStyle(element);
// Extract transitions
const transitions = parseTransition(element, computedStyle);
if (transitions) {
const selector = getSelector(element);
transitions.forEach(t => {
const key = `${t.property}-${t.duration}-${t.easing}`;
if (!uniqueTransitions.has(key)) {
uniqueTransitions.add(key);
transitionData.push({
selector,
...t
});
uniqueEasings.add(t.easing);
uniqueDurations.add(t.duration);
}
});
}
// Extract animations
const animation = parseAnimation(element, computedStyle);
if (animation) {
const selector = getSelector(element);
const key = `${animation.name}-${animation.duration}`;
if (!uniqueAnimations.has(key)) {
uniqueAnimations.add(key);
animationData.push({
selector,
...animation
});
uniqueEasings.add(animation.easing);
uniqueDurations.add(animation.duration);
}
}
// Extract transforms (on hover/active, we only get current state)
const transform = parseTransform(computedStyle);
if (transform) {
const selector = getSelector(element);
transformData.push({
selector,
transform
});
}
});
return {
transitions: transitionData,
animations: animationData,
transforms: transformData,
uniqueEasings: Array.from(uniqueEasings),
uniqueDurations: Array.from(uniqueDurations)
};
}
/**
* Main extraction function
*/
function extractAnimations() {
const elementData = scanElements();
const keyframes = extractKeyframes();
return {
metadata: {
timestamp: extractionTimestamp,
url: currentUrl,
method: 'chrome-devtools',
version: '1.0.0'
},
transitions: elementData.transitions,
animations: elementData.animations,
transforms: elementData.transforms,
keyframes: keyframes,
summary: {
total_transitions: elementData.transitions.length,
total_animations: elementData.animations.length,
total_transforms: elementData.transforms.length,
total_keyframes: Object.keys(keyframes).length,
unique_easings: elementData.uniqueEasings,
unique_durations: elementData.uniqueDurations
}
};
}
// Execute extraction
return extractAnimations();
})();

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/**
* Extract Computed Styles from DOM
*
* This script extracts real CSS computed styles from a webpage's DOM
* to provide accurate design tokens for UI replication.
*
* Usage: Execute this function via Chrome DevTools evaluate_script
*/
(() => {
/**
* Extract unique values from a set and sort them
*/
const uniqueSorted = (set) => {
return Array.from(set)
.filter(v => v && v !== 'none' && v !== '0px' && v !== 'rgba(0, 0, 0, 0)')
.sort();
};
/**
* Parse rgb/rgba to OKLCH format (placeholder - returns original for now)
*/
const toOKLCH = (color) => {
// TODO: Implement actual RGB to OKLCH conversion
// For now, return the original color with a note
return `${color} /* TODO: Convert to OKLCH */`;
};
/**
* Extract only key styles from an element
*/
const extractKeyStyles = (element) => {
const s = window.getComputedStyle(element);
return {
color: s.color,
bg: s.backgroundColor,
borderRadius: s.borderRadius,
boxShadow: s.boxShadow,
fontSize: s.fontSize,
fontWeight: s.fontWeight,
padding: s.padding,
margin: s.margin
};
};
/**
* Main extraction function - extract all critical design tokens
*/
const extractDesignTokens = () => {
// Include all key UI elements
const selectors = [
'button', '.btn', '[role="button"]',
'input', 'textarea', 'select',
'h1', 'h2', 'h3', 'h4', 'h5', 'h6',
'.card', 'article', 'section',
'a', 'p', 'nav', 'header', 'footer'
];
// Collect all design tokens
const tokens = {
colors: new Set(),
borderRadii: new Set(),
shadows: new Set(),
fontSizes: new Set(),
fontWeights: new Set(),
spacing: new Set()
};
// Extract from all elements
selectors.forEach(selector => {
try {
const elements = document.querySelectorAll(selector);
elements.forEach(element => {
const s = extractKeyStyles(element);
// Collect all tokens (no limits)
if (s.color && s.color !== 'rgba(0, 0, 0, 0)') tokens.colors.add(s.color);
if (s.bg && s.bg !== 'rgba(0, 0, 0, 0)') tokens.colors.add(s.bg);
if (s.borderRadius && s.borderRadius !== '0px') tokens.borderRadii.add(s.borderRadius);
if (s.boxShadow && s.boxShadow !== 'none') tokens.shadows.add(s.boxShadow);
if (s.fontSize) tokens.fontSizes.add(s.fontSize);
if (s.fontWeight) tokens.fontWeights.add(s.fontWeight);
// Extract all spacing values
[s.padding, s.margin].forEach(val => {
if (val && val !== '0px') {
val.split(' ').forEach(v => {
if (v && v !== '0px') tokens.spacing.add(v);
});
}
});
});
} catch (e) {
console.warn(`Error: ${selector}`, e);
}
});
// Return all tokens (no element details to save context)
return {
metadata: {
extractedAt: new Date().toISOString(),
url: window.location.href,
method: 'computed-styles'
},
tokens: {
colors: uniqueSorted(tokens.colors),
borderRadii: uniqueSorted(tokens.borderRadii), // ALL radius values
shadows: uniqueSorted(tokens.shadows), // ALL shadows
fontSizes: uniqueSorted(tokens.fontSizes),
fontWeights: uniqueSorted(tokens.fontWeights),
spacing: uniqueSorted(tokens.spacing)
}
};
};
// Execute and return results
return extractDesignTokens();
})();

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/**
* Extract Layout Structure from DOM - Enhanced Version
*
* Extracts real layout information from DOM to provide accurate
* structural data for UI replication.
*
* Features:
* - Framework detection (Nuxt.js, Next.js, React, Vue, Angular)
* - Multi-strategy container detection (strict → relaxed → class-based → framework-specific)
* - Intelligent main content detection with common class names support
* - Supports modern SPA frameworks
* - Detects non-semantic main containers (.main, .content, etc.)
* - Progressive exploration: Auto-discovers missing selectors when standard patterns fail
* - Suggests new class names to add to script based on actual page structure
*
* Progressive Exploration:
* When fewer than 3 main containers are found, the script automatically:
* 1. Analyzes all large visible containers (≥500×300px)
* 2. Extracts class name patterns (main/content/wrapper/container/page/etc.)
* 3. Suggests new selectors to add to the script
* 4. Returns exploration data in result.exploration
*
* Usage: Execute via Chrome DevTools evaluate_script
* Version: 2.2.0
*/
(() => {
/**
* Get element's bounding box relative to viewport
*/
const getBounds = (element) => {
const rect = element.getBoundingClientRect();
return {
x: Math.round(rect.x),
y: Math.round(rect.y),
width: Math.round(rect.width),
height: Math.round(rect.height)
};
};
/**
* Extract layout properties from an element
*/
const extractLayoutProps = (element) => {
const s = window.getComputedStyle(element);
return {
// Core layout
display: s.display,
position: s.position,
// Flexbox
flexDirection: s.flexDirection,
justifyContent: s.justifyContent,
alignItems: s.alignItems,
flexWrap: s.flexWrap,
gap: s.gap,
// Grid
gridTemplateColumns: s.gridTemplateColumns,
gridTemplateRows: s.gridTemplateRows,
gridAutoFlow: s.gridAutoFlow,
// Dimensions
width: s.width,
height: s.height,
maxWidth: s.maxWidth,
minWidth: s.minWidth,
// Spacing
padding: s.padding,
margin: s.margin
};
};
/**
* Identify layout pattern for an element
*/
const identifyPattern = (props) => {
const { display, flexDirection, gridTemplateColumns } = props;
if (display === 'flex' || display === 'inline-flex') {
if (flexDirection === 'column') return 'flex-column';
if (flexDirection === 'row') return 'flex-row';
return 'flex';
}
if (display === 'grid') {
const cols = gridTemplateColumns;
if (cols && cols !== 'none') {
const colCount = cols.split(' ').length;
return `grid-${colCount}col`;
}
return 'grid';
}
if (display === 'block') return 'block';
return display;
};
/**
* Detect frontend framework
*/
const detectFramework = () => {
if (document.querySelector('#__nuxt')) return { name: 'Nuxt.js', version: 'unknown' };
if (document.querySelector('#__next')) return { name: 'Next.js', version: 'unknown' };
if (document.querySelector('[data-reactroot]')) return { name: 'React', version: 'unknown' };
if (document.querySelector('[ng-version]')) return { name: 'Angular', version: 'unknown' };
if (window.Vue) return { name: 'Vue.js', version: window.Vue.version || 'unknown' };
return { name: 'Unknown', version: 'unknown' };
};
/**
* Build layout tree recursively
*/
const buildLayoutTree = (element, depth = 0, maxDepth = 3) => {
if (depth > maxDepth) return null;
const props = extractLayoutProps(element);
const bounds = getBounds(element);
const pattern = identifyPattern(props);
// Get semantic role
const tagName = element.tagName.toLowerCase();
const classes = Array.from(element.classList).slice(0, 3); // Max 3 classes
const role = element.getAttribute('role');
// Build node
const node = {
tag: tagName,
classes: classes,
role: role,
pattern: pattern,
bounds: bounds,
layout: {
display: props.display,
position: props.position
}
};
// Add flex/grid specific properties
if (props.display === 'flex' || props.display === 'inline-flex') {
node.layout.flexDirection = props.flexDirection;
node.layout.justifyContent = props.justifyContent;
node.layout.alignItems = props.alignItems;
node.layout.gap = props.gap;
}
if (props.display === 'grid') {
node.layout.gridTemplateColumns = props.gridTemplateColumns;
node.layout.gridTemplateRows = props.gridTemplateRows;
node.layout.gap = props.gap;
}
// Process children for container elements
if (props.display === 'flex' || props.display === 'grid' || props.display === 'block') {
const children = Array.from(element.children);
if (children.length > 0 && children.length < 50) { // Limit to 50 children
node.children = children
.map(child => buildLayoutTree(child, depth + 1, maxDepth))
.filter(child => child !== null);
}
}
return node;
};
/**
* Find main layout containers with multi-strategy approach
*/
const findMainContainers = () => {
const containers = [];
const found = new Set();
// Strategy 1: Strict selectors (body direct children)
const strictSelectors = [
'body > header',
'body > nav',
'body > main',
'body > footer'
];
// Strategy 2: Relaxed selectors (any level)
const relaxedSelectors = [
'header',
'nav',
'main',
'footer',
'[role="banner"]',
'[role="navigation"]',
'[role="main"]',
'[role="contentinfo"]'
];
// Strategy 3: Common class-based main content selectors
const commonClassSelectors = [
'.main',
'.content',
'.main-content',
'.page-content',
'.container.main',
'.wrapper > .main',
'div[class*="main-wrapper"]',
'div[class*="content-wrapper"]'
];
// Strategy 4: Framework-specific selectors
const frameworkSelectors = [
'#__nuxt header', '#__nuxt .main', '#__nuxt main', '#__nuxt footer',
'#__next header', '#__next .main', '#__next main', '#__next footer',
'#app header', '#app .main', '#app main', '#app footer',
'[data-app] header', '[data-app] .main', '[data-app] main', '[data-app] footer'
];
// Try all strategies
const allSelectors = [...strictSelectors, ...relaxedSelectors, ...commonClassSelectors, ...frameworkSelectors];
allSelectors.forEach(selector => {
try {
const elements = document.querySelectorAll(selector);
elements.forEach(element => {
// Avoid duplicates and invisible elements
if (!found.has(element) && element.offsetParent !== null) {
found.add(element);
const tree = buildLayoutTree(element, 0, 3);
if (tree && tree.bounds.width > 0 && tree.bounds.height > 0) {
containers.push(tree);
}
}
});
} catch (e) {
console.warn(`Selector failed: ${selector}`, e);
}
});
// Fallback: If no containers found, use body's direct children
if (containers.length === 0) {
Array.from(document.body.children).forEach(child => {
if (child.offsetParent !== null && !found.has(child)) {
const tree = buildLayoutTree(child, 0, 2);
if (tree && tree.bounds.width > 100 && tree.bounds.height > 100) {
containers.push(tree);
}
}
});
}
return containers;
};
/**
* Progressive exploration: Discover main containers when standard selectors fail
* Analyzes large visible containers and suggests class name patterns
*/
const exploreMainContainers = () => {
const candidates = [];
const minWidth = 500;
const minHeight = 300;
// Find all large visible divs
const allDivs = document.querySelectorAll('div');
allDivs.forEach(div => {
const rect = div.getBoundingClientRect();
const style = window.getComputedStyle(div);
// Filter: large size, visible, not header/footer
if (rect.width >= minWidth &&
rect.height >= minHeight &&
div.offsetParent !== null &&
!div.closest('header') &&
!div.closest('footer')) {
const classes = Array.from(div.classList);
const area = rect.width * rect.height;
candidates.push({
element: div,
classes: classes,
area: area,
bounds: {
width: Math.round(rect.width),
height: Math.round(rect.height)
},
display: style.display,
depth: getElementDepth(div)
});
}
});
// Sort by area (largest first) and take top candidates
candidates.sort((a, b) => b.area - a.area);
// Extract unique class patterns from top candidates
const classPatterns = new Set();
candidates.slice(0, 20).forEach(c => {
c.classes.forEach(cls => {
// Identify potential main content class patterns
if (cls.match(/main|content|container|wrapper|page|body|layout|app/i)) {
classPatterns.add(cls);
}
});
});
return {
candidates: candidates.slice(0, 10).map(c => ({
classes: c.classes,
bounds: c.bounds,
display: c.display,
depth: c.depth
})),
suggestedSelectors: Array.from(classPatterns).map(cls => `.${cls}`)
};
};
/**
* Get element depth in DOM tree
*/
const getElementDepth = (element) => {
let depth = 0;
let current = element;
while (current.parentElement) {
depth++;
current = current.parentElement;
}
return depth;
};
/**
* Analyze layout patterns
*/
const analyzePatterns = (containers) => {
const patterns = {
flexColumn: 0,
flexRow: 0,
grid: 0,
sticky: 0,
fixed: 0
};
const analyze = (node) => {
if (!node) return;
if (node.pattern === 'flex-column') patterns.flexColumn++;
if (node.pattern === 'flex-row') patterns.flexRow++;
if (node.pattern && node.pattern.startsWith('grid')) patterns.grid++;
if (node.layout.position === 'sticky') patterns.sticky++;
if (node.layout.position === 'fixed') patterns.fixed++;
if (node.children) {
node.children.forEach(analyze);
}
};
containers.forEach(analyze);
return patterns;
};
/**
* Main extraction function with progressive exploration
*/
const extractLayout = () => {
const framework = detectFramework();
const containers = findMainContainers();
const patterns = analyzePatterns(containers);
// Progressive exploration: if too few containers found, explore and suggest
let exploration = null;
const minExpectedContainers = 3; // At least header, main, footer
if (containers.length < minExpectedContainers) {
exploration = exploreMainContainers();
// Add warning message
exploration.warning = `Only ${containers.length} containers found. Consider adding these selectors to the script:`;
exploration.recommendation = exploration.suggestedSelectors.join(', ');
}
const result = {
metadata: {
extractedAt: new Date().toISOString(),
url: window.location.href,
framework: framework,
method: 'layout-structure-enhanced',
version: '2.2.0'
},
statistics: {
totalContainers: containers.length,
patterns: patterns
},
structure: containers
};
// Add exploration results if triggered
if (exploration) {
result.exploration = {
triggered: true,
reason: 'Insufficient containers found with standard selectors',
discoveredCandidates: exploration.candidates,
suggestedSelectors: exploration.suggestedSelectors,
warning: exploration.warning,
recommendation: exploration.recommendation
};
}
return result;
};
// Execute and return results
return extractLayout();
})();

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