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565 Commits

Author SHA1 Message Date
catlog22
464f3343f3 chore: bump version to 6.3.33 2026-01-16 15:50:32 +08:00
catlog22
bb6cf42df6 fix: 更新 issue 执行文档,明确队列 ID 要求和用户交互流程 2026-01-16 15:49:26 +08:00
catlog22
0f0cb7e08e refactor: 优化 brainstorm 上下文溢出保护文档
- conceptual-planning-agent.md: 34行 → 10行(-71%)
- auto-parallel.md: 42行 → 9行(-79%)
- 消除重复定义,workflow 引用 agent 限制
- 移除冗余的策略列表、自检清单、代码示例
- 保留核心功能:限制数字、简要策略、恢复方法
2026-01-16 15:36:59 +08:00
catlog22
39d070eab6 fix: resolve GitHub issues (#50, #54)
- #54: Add API endpoint configuration documentation to DASHBOARD_GUIDE.md
- #50: Add brainstorm context overflow protection with output size limits

Note: #72 and #53 not changed per user feedback - existing behavior is sufficient
(users can configure envFile themselves; default Python version is appropriate)
2026-01-16 15:09:31 +08:00
catlog22
9ccaa7e2fd fix: 更新 CLI 工具配置缓存失效逻辑 2026-01-16 14:28:10 +08:00
catlog22
eeb90949ce chore: bump version to 6.3.32
- Fix: Dashboard project overview display issue (#80)
- Refactor: Update project structure to use project-tech.json
2026-01-16 14:09:09 +08:00
catlog22
7b677b20fb fix: 更新项目文档,修正项目上下文和学习固化流程描述 2026-01-16 14:01:27 +08:00
catlog22
e2d56bc08a refactor: 更新项目结构,替换 project.json 为 project-tech.json,添加新架构和技术分析 2026-01-16 13:33:38 +08:00
catlog22
d515090097 feat: add --mode review support for codex CLI
- Add 'review' to mode enum in ParamsSchema and schema
- Implement codex review subcommand in buildCommand (uses --uncommitted by default)
- Other tools (gemini/qwen/claude) accept review mode but no operation change
- Update cli-tools-usage.md with review mode documentation
2026-01-16 13:01:02 +08:00
catlog22
d81dfaf143 fix: add cross-platform support for hook installation (#82)
- Add PlatformUtils module for platform detection (Windows/macOS/Linux)
- Add escapeForShell() for platform-specific shell escaping
- Add checkCompatibility() to warn about incompatible hooks before install
- Add getVariant() to support platform-specific template variants
- Fix node -e commands: use double quotes on Windows, single quotes on Unix
2026-01-16 12:54:56 +08:00
catlog22
d7e5ee44cc fix: adapt help-routes.ts to new command.json structure (fixes #81)
- Replace getIndexDir() with getCommandFilePath() to find command.json
- Update file watcher to monitor command.json instead of index/ directory
- Modify API routes to read from unified command.json structure
- Add buildWorkflowRelationships() to dynamically build workflow data from flow fields
- Add /api/help/agents endpoint for agents list
- Add category merge logic for frontend compatibility (cli includes general)
- Add cli-init command to command.json
2026-01-16 12:46:50 +08:00
catlog22
dde39fc6f5 fix: 更新 CLI 调用后说明,移除不必要的轮询建议 2026-01-16 09:40:21 +08:00
catlog22
9b4fdc1868 Refactor code structure for improved readability and maintainability 2026-01-15 22:43:44 +08:00
catlog22
623afc1d35 6.3.31 2026-01-15 22:30:57 +08:00
catlog22
085652560a refactor: 移除 ccw cli 内部超时参数,改由外部 bash 控制
- 移除 --timeout 命令行选项和内部超时处理逻辑
- 进程生命周期跟随父进程(bash)状态
- 简化代码,超时控制交由外部调用者管理
2026-01-15 22:30:22 +08:00
catlog22
af4ddb1280 feat: 添加队列和议题删除功能,支持归档议题 2026-01-15 19:58:54 +08:00
catlog22
7db659f0e1 feat: 增强议题搜索功能与多队列卡片界面优化
搜索增强:
- 添加防抖处理修复快速输入导致页面卡死的问题
- 扩展搜索范围至解决方案的描述和方法字段
- 新增搜索结果高亮显示匹配关键词
- 添加搜索下拉建议,支持键盘导航

多队列界面:
- 优化队列展开视图的卡片布局使用CSS Grid
- 添加取消激活队列功能及API端点
- 改进状态颜色分布和统计卡片样式
- 添加激活/取消激活按钮的中文国际化

修复:
- 修复路由冲突导致的deactivate 404错误
- 修复异步加载后拖拽排序失效的问题
2026-01-15 19:44:44 +08:00
catlog22
ba526ea09e fix: 修复 Dashboard 概况页面无法显示项目信息的问题
添加 extractStringArray 辅助函数来处理混合数组类型(字符串数组和对象数组),
使 loadProjectOverview 函数能够正确处理 project-tech.json 中的数据结构。

修复的字段包括:
- languages: 对象数组 [{name, file_count, primary}] → 字符串数组
- frameworks: 保持兼容字符串数组
- key_components: 对象数组 [{name, description, path}] → 字符串数组
- layers/patterns: 保持兼容混合类型

Closes #79
2026-01-15 18:58:42 +08:00
catlog22
c308e429f8 feat: 添加增量更新命令以支持单文件索引更新 2026-01-15 18:14:51 +08:00
catlog22
c24ed016cb feat: 更新执行命令文档,添加队列ID要求和用户提示功能 2026-01-15 16:22:48 +08:00
catlog22
0c9a6d4154 chore: bump version to 6.3.29
Release 6.3.29 with:
- Multi-CLI task and discussion tabs i18n support
- Collapsible sections for discussion and summary tabs
- Post-Completion Expansion for execution commands
- Enhanced multi-CLI session handling
- Code structure refactoring
2026-01-15 15:38:15 +08:00
catlog22
7b5c3cacaa feat: 添加多CLI任务和讨论标签的国际化支持 2026-01-15 15:35:09 +08:00
catlog22
e6e7876b38 feat: Add collapsible sections and enhance layout for discussion and summary tabs 2026-01-15 15:30:11 +08:00
catlog22
0eda520fd7 feat: Enhance multi-CLI session handling and UI updates
- Added loading of plan.json in scanMultiCliDir to improve task extraction.
- Implemented normalization of tasks from plan.json format to support new UI.
- Updated CSS for multi-CLI plan summary and task item badges for better visibility.
- Refactored hook-manager to use Node.js for cross-platform compatibility in command execution.
- Improved i18n support for new CLI tool configuration in the hook wizard.
- Enhanced lite-tasks view to utilize normalized tasks and provide better fallback mechanisms.
- Updated memory-update-queue to return string messages for better integration with hooks.
2026-01-15 15:20:20 +08:00
catlog22
e22b525e9c feat: add Post-Completion Expansion to execution commands
执行命令完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 /issue:new
2026-01-15 13:00:50 +08:00
catlog22
86536aaa10 Refactor code structure for improved readability and maintainability 2026-01-15 11:51:19 +08:00
catlog22
3ef766708f chore: bump version to 6.3.28
Fixes #74 - Include ccw/scripts/ in npm package files
2026-01-15 11:20:34 +08:00
catlog22
95a7f05aa9 Add unified command indices for CCW and CCW-Help with detailed capabilities, flows, and intent rules
- Introduced command.json for CCW-Help with 88 commands and 16 agents, covering essential workflows and memory management.
- Created command.json for CCW with comprehensive capabilities for exploration, planning, execution, bug fixing, testing, reviewing, and documentation.
- Defined complex flows for rapid iteration, full exploration, coupled planning, bug fixing, issue lifecycle management, and more.
- Implemented intent rules for bug fixing, issue batch processing, exploration, UI design, TDD, review, and documentation.
- Established CLI tools and injection rules to enhance command execution based on context and complexity.
2026-01-15 11:19:30 +08:00
catlog22
f692834153 fix: Status导航项现在正确显示CLI状态页面而非CLAUDE.md管理器
cli-manager视图路由错误调用了renderClaudeManager(),修复为调用正确的renderCliManager()函数。

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-15 10:38:19 +08:00
catlog22
a228bb946b fix: Issue Manager completed过滤器现在可以显示归档议题
- 添加 loadIssueHistory() 函数从 /api/issues/history 加载归档议题
- 修改 filterIssuesByStatus() 在选择 completed 过滤器时加载历史数据
- 修改 renderIssueView() 合并当前已完成议题和归档议题
- 修改 renderIssueCard() 显示 "Archived" 标签区分归档议题
- 修改 openIssueDetail() 支持从缓存加载归档议题详情
- 添加 .issue-card.archived 和 .issue-archived-badge CSS样式

Fixes: https://github.com/catlog22/Claude-Code-Workflow/issues/76

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-15 10:28:52 +08:00
catlog22
4d57f47717 feat: 更新搜索工具优先级指南,统一格式以提高可读性 2026-01-14 22:00:01 +08:00
catlog22
c8cac5b201 feat: 添加搜索工具优先级指南,优化CLI工具调用和执行策略 2026-01-14 21:46:36 +08:00
catlog22
f9c1216eec feat: 添加令牌消耗诊断功能,优化输出和状态管理 2026-01-14 21:40:00 +08:00
catlog22
266f6f11ec feat: Enhance documentation diagnosis and category mapping
- Introduced action to diagnose documentation structure, identifying redundancies and conflicts.
- Added centralized category mappings in JSON format for improved detection and strategy application.
- Updated existing functions to utilize new mappings for taxonomy and strategy matching.
- Implemented new detection patterns for documentation redundancy and conflict.
- Expanded state schema to include documentation diagnosis results.
- Enhanced severity criteria and strategy selection guide to accommodate new documentation issues.
2026-01-14 21:07:52 +08:00
catlog22
1f5ce9c03a Enhance CCW Orchestrator with Requirement Analysis Features
- Updated SKILL.md to reflect new requirement analysis capabilities, including input analysis and clarity scoring.
- Expanded issue workflow in issue.md to include discovery and creation phases, along with detailed command references.
- Introduced requirement analysis specification in requirement-analysis.md, outlining clarity scoring, dimension extraction, and validation processes.
- Added output templates specification in output-templates.md for consistent user experience across classification, planning, clarification, execution, and summary outputs.
2026-01-14 20:15:42 +08:00
catlog22
959d60b31f Enhance CLI Stream Viewer and Navigation Lifecycle Management
- Added lifecycle management for CLI Stream Viewer with destroy function to clean up event listeners and timers.
- Improved navigation state management by registering destroy functions for views and ensuring cleanup on transitions.
- Updated Claude Manager to include lifecycle functions for better resource management.
- Enhanced CLI History View with state reset functionality and improved dropdown handling for batch delete.
- Introduced round solutions rendering in Lite Tasks View, including collapsible sections for implementation plans, dependencies, and technical concerns.
2026-01-14 19:57:05 +08:00
catlog22
49845fe1ae feat: 扩展多CLI详细页面样式,更新任务卡片和决策状态显示 2026-01-14 18:47:23 +08:00
catlog22
aeb111420e feat: 添加多CLI计划支持,更新数据聚合和导航组件以处理新任务类型 2026-01-14 17:06:36 +08:00
catlog22
6ff3e5f8fe test: add unit tests for hook quoting fix (Issue #73)
Add comprehensive test suite for convertToClaudeCodeFormat function:
- Verify bash -c commands use single quotes
- Verify jq patterns are preserved without excessive escaping
- Verify single quotes in scripts are properly escaped
- Test all real-world hook templates (danger-*, ccw-notify, log-tool)
- Test edge cases (non-bash commands, already formatted data)

All 13 tests passing.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 15:22:52 +08:00
catlog22
d941166d84 fix: use single quotes for bash -c script to avoid jq escaping issues
Problem:
When generating hook configurations, the convertToClaudeCodeFormat function
was using double quotes to wrap bash -c script arguments. This caused
complex escaping issues with jq commands inside, leading to parse errors
like "jq: error: syntax error, unexpected end of file".

Solution:
For bash -c commands, now use single quotes to wrap the script argument.
Single quotes prevent shell expansion, so internal double quotes (like
those used in jq patterns) work naturally without excessive escaping.

If the script contains single quotes, they are properly escaped using
the '\'' pattern (close quote, escaped quote, reopen quote).

Fixes: https://github.com/catlog22/Claude-Code-Workflow/issues/73

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-14 15:07:04 +08:00
catlog22
ac9ba5c7e4 feat: 更新CLI分析调用部分,强调等待结果和价值评估,移除背景执行默认设置 2026-01-14 14:00:14 +08:00
catlog22
9e55f51501 feat: 添加需求分析功能,支持维度拆解、覆盖度评估和歧义检测 2026-01-14 13:42:57 +08:00
catlog22
43b8cfc7b0 feat: 添加CLI辅助意图分类和行动规划功能,增强复杂输入处理和执行策略优化 2026-01-14 13:23:22 +08:00
catlog22
633d918da1 Add quality gates and tuning strategies documentation
- Introduced quality gates specification for skill tuning, detailing quality dimensions, scoring, and gate definitions.
- Added comprehensive tuning strategies for various issue categories, including context explosion, long-tail forgetting, data flow, and agent coordination.
- Created templates for diagnosis reports and fix proposals to standardize documentation and reporting processes.
2026-01-14 12:59:13 +08:00
catlog22
6b4b9b0775 feat: enhance multi-CLI planning with new schema for solutions and implementation plans; improve file handling with async methods 2026-01-14 12:15:42 +08:00
catlog22
360d29d7be Enhance server routing to include dialog API endpoints
- Updated system routes in the server to handle dialog-related API requests.
- Added support for new dialog routes under the '/api/dialog/' path.
2026-01-14 10:51:23 +08:00
catlog22
4fe7f6cde6 feat: enhance CLI discussion agent and multi-CLI planning with JSON string support; improve error handling and internationalization 2026-01-13 23:51:46 +08:00
catlog22
6922ca27de Add Multi-CLI Plan feature and corresponding JSON schema
- Introduced a new navigation item for "Multi-CLI Plan" in the dashboard template.
- Created a new JSON schema for "Multi-CLI Discussion Artifact" to facilitate structured discussions and decision-making processes.
2026-01-13 23:46:15 +08:00
catlog22
c3da637849 feat(workflow): add multi-CLI collaborative planning command
- Introduced a new command `/workflow:multi-cli-plan` for collaborative planning using ACE semantic search and iterative analysis with Claude and Codex.
- Implemented a structured execution flow with phases for context gathering, multi-tool analysis, user decision points, and final plan generation.
- Added detailed documentation outlining the command's usage, execution phases, and key features.
- Included error handling and configuration options for enhanced user experience.
2026-01-13 23:23:09 +08:00
catlog22
2f1c56285a chore: bump version to 6.3.27
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 21:51:10 +08:00
catlog22
85972b73ea feat: update CSRF protection logic and enhance GPU detection method; improve i18n for hook wizard templates 2026-01-13 21:49:08 +08:00
catlog22
6305f19bbb chore: bump version to 6.3.26
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 21:33:24 +08:00
catlog22
275d2cb0af feat: Add environment file support for CLI tools
- Introduced a new input group for environment file configuration in the dashboard CSS.
- Updated hook manager to queue CLAUDE.md updates with configurable threshold and timeout.
- Enhanced CLI manager view to include environment file input for built-in tools (gemini, qwen).
- Implemented environment file loading mechanism in cli-executor-core, allowing custom environment variables.
- Added unit tests for environment file parsing and loading functionalities.
- Updated memory update queue to support dynamic configuration of threshold and timeout settings.
2026-01-13 21:31:46 +08:00
catlog22
d5f57d29ed feat: add issue discovery by prompt command with Gemini planning
- Introduced `/issue:discover-by-prompt` command for user-driven issue discovery.
- Implemented multi-agent exploration with iterative feedback loops.
- Added ACE semantic search for context gathering and cross-module comparison capabilities.
- Enhanced user experience with natural language input and adaptive exploration strategies.

feat: implement memory update queue tool for batching updates

- Created `memory-update-queue.js` for managing CLAUDE.md updates.
- Added functionality for queuing paths, deduplication, and auto-flushing based on thresholds and timeouts.
- Implemented methods for queue status retrieval, flushing, and timeout checks.
- Configured to store queue data persistently in `~/.claude/.memory-queue.json`.
2026-01-13 21:04:45 +08:00
catlog22
7d8b13f34f feat(mcp): add cross-platform MCP config support with Windows cmd /c auto-fix
- Add buildCrossPlatformMcpConfig() helper for automatic Windows cmd /c wrapping
- Add checkWindowsMcpCompatibility() to detect configs needing Windows fixes
- Add autoFixWindowsMcpConfig() to automatically fix incompatible configs
- Add showWindowsMcpCompatibilityWarning() dialog for user confirmation
- Simplify recommended MCP configs (ace-tool, chrome-devtools, exa) using helper
- Auto-detect and prompt when adding MCP servers with npx/npm/node/python commands
- Add i18n translations for Windows compatibility warnings (en/zh)

Supported commands for auto-detection: npx, npm, node, python, python3, pip, pip3, pnpm, yarn, bun

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 19:07:11 +08:00
catlog22
340137d347 fix: resolve GitHub issues #63, #66, #67, #68, #69, #70
- #70: Fix API Key Tester URL handling - normalize trailing slashes before
  version suffix detection to prevent double-slash URLs like //models
- #69: Fix memory embedder ignoring CodexLens config - add error handling
  for CodexLensConfig.load() with fallback to defaults
- #68: Fix ccw cli using wrong Python environment - add getCodexLensVenvPython()
  to resolve correct venv path on Windows/Unix
- #67: Fix LiteLLM API Provider test endpoint - actually test API key connection
  instead of just checking ccw-litellm installation
- #66: Fix help-routes.ts path configuration - use correct 'ccw-help' directory
  name and refactor getIndexDir to pure function
- #63: Fix CodexLens install state refresh - add cache invalidation after
  config save in codexlens-manager.js

Also includes targeted unit tests for the URL normalization logic.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 18:20:54 +08:00
catlog22
61cef8019a chore: bump version to 6.3.25
- Add review-code skill with multi-dimensional code review
- Externalized rules configuration (specs/rules/*.json)
- Centralized state management module

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 17:14:07 +08:00
catlog22
08308aa9ea feat: 增加对 HTML 标签的支持,扩展 BBCode 转换规则 2026-01-13 16:58:24 +08:00
catlog22
94ae9e264c Add output preview phase and callout types specifications
- Implemented Phase 4: Output & Preview for text formatter, including saving formatted content, generating statistics, and providing HTML preview.
- Created callout types documentation with detection patterns and conversion rules for BBCode and HTML.
- Added element mapping specifications detailing detection patterns and conversion matrices for various Markdown elements.
- Established format conversion rules for BBCode and Markdown, emphasizing pixel-based sizing and supported tags.
- Developed BBCode template with structured document and callout templates for consistent formatting.
2026-01-13 16:53:25 +08:00
catlog22
549e6e70e4 chore: bump version to 6.3.24
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 16:01:08 +08:00
catlog22
15514c8f91 Add multi-dimensional code review rules for architecture, correctness, performance, readability, security, and testing
- Introduced architecture rules to detect circular dependencies, god classes, layer violations, and mixed concerns.
- Added correctness rules focusing on null checks, empty catch blocks, unreachable code, and type coercion.
- Implemented performance rules addressing nested loops, synchronous I/O, memory leaks, and unnecessary re-renders in React.
- Created readability rules to improve function length, variable naming, deep nesting, magic numbers, and commented code.
- Established security rules to identify XSS risks, hardcoded secrets, SQL injection vulnerabilities, and insecure random generation.
- Developed testing rules to enhance test quality, coverage, and maintainability, including missing assertions and error path testing.
- Documented the structure and schema for rule files in the index.md for better understanding and usage.
2026-01-13 14:53:20 +08:00
catlog22
29c8bb7a66 feat: Add orchestrator and state management for code review process
- Implemented orchestrator logic to manage code review phases, including state reading, action selection, and execution loop.
- Defined state schema for review process, including metadata, context, findings, and execution tracking.
- Created action catalog detailing actions for context collection, quick scan, deep review, report generation, and completion.
- Established error recovery strategies and termination conditions for robust review handling.
- Developed issue classification and quality standards documentation to guide review severity and categorization.
- Introduced review dimensions with detailed checklists for correctness, security, performance, readability, testing, and architecture.
- Added templates for issue reporting and review reports to standardize output and improve clarity.
2026-01-13 14:39:16 +08:00
catlog22
76f5311e78 Refactor: Remove outdated security requirements and best practice templates
- Deleted security requirements specification file to streamline documentation.
- Removed best practice finding template to enhance clarity and focus on critical issues.
- Eliminated report template and security finding template to reduce redundancy and improve maintainability.
- Updated skill generator templates to enforce mandatory prerequisites for better compliance with design standards.
- Bumped package version from 6.3.18 to 6.3.23 for dependency updates.
2026-01-13 13:58:41 +08:00
catlog22
ca6677149a chore: bump version to 6.3.23
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 13:04:49 +08:00
catlog22
880376aefc feat: 优化 Solution ID 命名机制并添加 GitHub 链接显示
- Solution ID 改用 4 位随机 uid (如 SOL-GH-123-a7x9) 避免多次规划时覆盖
- issue 卡片添加 GitHub 链接图标,支持点击跳转到对应 issue

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 13:03:51 +08:00
catlog22
a20f81d44a fix: 兼容 discovery-state.json 新旧两种格式
- readDiscoveryProgress: 自动检测 perspectives 格式(对象数组/字符串数组)
- readDiscoveryIndex: 兼容从 perspectives 和 metadata.perspectives 提取视角
- 列表 API: 优先从 results 对象提取统计数据,回退到顶层字段
- 新增 3 个测试用例验证新格式兼容性
- bump version to 6.3.22

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 12:35:15 +08:00
catlog22
a8627e7f68 chore: bump version to 6.3.21
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 11:44:15 +08:00
catlog22
4caa622942 fix: 使用 csrfFetch 替换 fetch 以增强 API 请求的安全性 2026-01-13 11:42:28 +08:00
github-actions[bot]
6b8e73bd32 chore: update visual test baselines [skip ci] 2026-01-13 03:39:20 +00:00
catlog22
68c4c54b64 fix: 添加 workflow contents:write 权限以支持基准快照提交
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 11:38:07 +08:00
catlog22
1dca4b06a2 fix: 修复 CI 环境视觉测试跨平台兼容性问题
- 增加 visual-tester 支持尺寸不匹配时的区域提取比较
- CI 环境使用 5% 容差(本地保持 0.1%)
- 添加 workflow_dispatch 支持手动更新基准快照
- 更新后的基准快照会自动提交到仓库

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 11:33:11 +08:00
catlog22
a8ec42233f chore: bump version to 6.3.20
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-13 11:14:46 +08:00
catlog22
49a7c17ba8 docs: 添加提交语言规范,支持中文和英文提交信息选择 2026-01-13 11:12:59 +08:00
catlog22
8a15e08944 feat: 增强索引树构建逻辑,支持递归检查子目录中的可索引文件 2026-01-13 11:08:48 +08:00
catlog22
8c2d39d517 feat: 添加配置选项以调整重排序模型的权重和测试文件惩罚,增强语义搜索功能 2026-01-13 10:44:26 +08:00
catlog22
bf06f4ddcc feat: 添加GitHub回复任务,支持在问题存在github_url时自动评论 2026-01-13 09:58:55 +08:00
catlog22
28645aa4e4 fix: 更新API基础URL验证逻辑,允许HTTP协议并调整Anthropic API请求格式 2026-01-13 09:47:19 +08:00
catlog22
cdcb517bc2 fix: 移除未使用的类型导出,清理代码 2026-01-13 09:27:35 +08:00
catlog22
a63d547856 fix: remove duplicate RotationEndpointConfig export
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-12 23:56:04 +08:00
catlog22
d994274023 chore: bump version to 6.3.19
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-12 23:53:58 +08:00
catlog22
a98db07731 chore(release): v6.3.19 - Dense Reranker, CLI Tools & Issue Workflow
## Documentation Updates
- Update all version references to v6.3.19
- Add Dense + Reranker search documentation
- Add OpenCode AI CLI tool integration docs
- Add Issue workflow (plan → queue → execute) with Codex recommendation
- Update CHANGELOG with complete v6.3.19 release notes

## Features
- Cross-Encoder reranking for improved search relevance
- OpenCode CLI tool support
- Issue multi-queue parallel execution
- Service architecture improvements (cache-manager, preload-service)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-12 23:51:16 +08:00
catlog22
908a745f95 Refactor Codex Lens config handling and CLI tools status checks
- Updated Codex Lens config handler to extract embeddings data from the new response structure, including coverage percentage and total files with embeddings.
- Enhanced CLI tools status function to handle different tool types (builtin, cli-wrapper, api-endpoint) with improved logic for checking availability based on configuration.
- Removed obsolete test files and directories that are no longer needed.
2026-01-12 22:49:30 +08:00
catlog22
5259bf48b2 feat: 添加服务模块到加载顺序,优化工作区状态加载逻辑,支持预加载和直接获取 2026-01-12 22:31:32 +08:00
catlog22
ecaa011502 feat: 增强 CLI 状态管理,支持从缓存加载状态并优化预加载服务 2026-01-12 22:22:21 +08:00
catlog22
65cb5beec4 feat: 优化缓存管理,增加从缓存读取 CLI 状态和配置的功能 2026-01-12 21:57:21 +08:00
catlog22
fd9c55162d feat: 添加服务模块,包含缓存管理、事件管理和预加载服务 2026-01-12 21:47:11 +08:00
catlog22
ca77c114dd feat: 更新 CodexLens 项目状态获取逻辑,使用 'projects show' 命令并添加索引状态检查 2026-01-12 21:10:01 +08:00
catlog22
5282551277 feat: 更新 CodexLens 工作区状态 API,支持通过查询参数指定项目路径 2026-01-12 21:00:50 +08:00
catlog22
76e1f855f1 feat: 添加动态批处理大小设置及相关国际化支持,优化配置管理 2026-01-12 20:03:14 +08:00
catlog22
57173c9b02 feat: 优化动态批量大小计算,确保使用所有解析规则的最大字符限制,并调整利用率因子的安全范围 2026-01-12 17:47:19 +08:00
catlog22
90a1321aac feat: 添加动态批量大小计算,优化嵌入管理和配置系统 2026-01-12 17:34:37 +08:00
catlog22
b360e0edc7 feat: 委托 ensureLiteLLMEmbedderReady 以确保依赖一致性,优化 ccw-litellm 安装逻辑 2026-01-12 15:12:56 +08:00
catlog22
5ec9ad01a3 feat: 添加 ccw-litellm 安装和卸载后的缓存失效处理,确保数据更新 2026-01-12 14:39:37 +08:00
catlog22
96f0d2a8f1 feat: 更新 ccw-litellm 安装逻辑,仅检查 CodexLens 虚拟环境,移除系统 pip 回退 2026-01-12 14:18:45 +08:00
catlog22
cba4d76b75 feat: 优化 ccw-litellm 安装和卸载流程,优先使用 CodexLens 虚拟环境 2026-01-12 13:00:48 +08:00
catlog22
09beb84586 feat: 添加 UV 管理器支持以优化 SPLADE 安装流程 2026-01-12 12:54:22 +08:00
catlog22
7803dad430 Add integration and unit tests for CodexLens UV installation and UV manager
- Implemented integration tests for CodexLens UV installation functionality, covering package installations, Python import verification, and dependency conflict resolution.
- Created unit tests for the uv-manager utility module, including UV binary detection, installation, and virtual environment management.
- Added cleanup procedures for temporary directories used in tests.
- Verified the functionality of the UvManager class, including virtual environment creation, package installation, and error handling for invalid environments.
2026-01-12 12:42:38 +08:00
catlog22
52c510501d feat: 添加工具类型和用法说明,支持自定义 API 头部设置 2026-01-12 11:41:04 +08:00
catlog22
bdd545727b feat: 更新 LiteLLM 客户端和 CLI 设置管理,支持自定义 API 路由和 CLI 工具集成 2026-01-12 10:28:42 +08:00
catlog22
1044886e7d feat(cli-manager): add CLI wrapper endpoints management and UI integration
- Introduced functions to load and toggle CLI wrapper endpoints from the API.
- Updated the CLI manager UI to display and manage CLI wrapper endpoints.
- Removed CodexLens and Semantic Search from the tools section, now managed in their dedicated pages.

feat(codexlens-manager): move File Watcher card to the CodexLens Manager page

- Relocated the File Watcher card from the right column to the main content area of the CodexLens Manager page.

refactor(claude-cli-tools): enhance CLI tools configuration and migration

- Added support for new tool types: 'cli-wrapper' and 'api-endpoint'.
- Updated migration logic to handle new tool types and preserve endpoint IDs.
- Deprecated previous custom endpoint handling in favor of the new structure.

feat(cli-executor-core): integrate CLI settings for custom endpoint execution

- Implemented execution logic for custom CLI封装 endpoints using settings files.
- Enhanced error handling and output logging for CLI executions.
- Updated tool identification logic to support both built-in tools and custom endpoints.
2026-01-12 09:35:05 +08:00
catlog22
cefb934a2c feat: 为 skill-generator 添加脚本执行能力
- 默认创建 scripts/ 目录用于存放确定性脚本
- 新增 specs/scripting-integration.md 脚本集成规范
- 新增 templates/script-python.md 和 script-bash.md 脚本模板
- 模板中添加 ## Scripts 声明和 ExecuteScript 调用示例
- 支持命名即ID、扩展名即运行时的约定
- 参数自动转换: snake_case → kebab-case
- Bash 模板使用 jq 构建 JSON 输出

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-11 23:14:00 +08:00
catlog22
37614a3362 feat: 更新 SmartContentFormatter,确保格式化内容始终返回可显示的字符串 2026-01-11 22:37:44 +08:00
catlog22
7f3033b1c1 feat: 使用智能内容格式化器优化 CLI 输出内容格式 2026-01-11 21:17:20 +08:00
catlog22
7387a25d65 feat: 引入智能内容格式化器以优化 CLI 输出的格式化处理 2026-01-11 20:57:32 +08:00
catlog22
e1eafede65 feat: 优化 CLI 工具配置管理,动态加载工具并简化配置路径 2026-01-11 20:40:51 +08:00
catlog22
9d7b77059f feat: 删除 CLI 工具配置文件,简化项目结构 2026-01-11 19:59:16 +08:00
catlog22
7519603fbd feat: 更新 CLI 工具配置管理,优化配置读取和保存策略 2026-01-11 19:58:48 +08:00
catlog22
bafc3225d2 feat: 更新 CLI 工具执行规范,重构配置和选择流程 2026-01-11 19:53:56 +08:00
catlog22
174393b5cb feat: 添加预加载功能以优化 CodexLens 数据获取和缓存管理 2026-01-11 19:41:13 +08:00
catlog22
b77672dda4 feat: 增强模型下载功能,支持 HuggingFace Hub 直接下载 ONNX 格式模型 2026-01-11 18:22:36 +08:00
catlog22
1e91fa9f9e feat: Add custom model download functionality and enhance model management
- Implemented `model-download-custom` command to download HuggingFace models.
- Added support for discovering manually placed models in the cache.
- Enhanced the model list view to display recommended and discovered models separately.
- Introduced JSON editor for direct configuration mode in API settings.
- Added validation and formatting features for JSON input.
- Updated translations for new API settings and common actions.
- Improved user interface for model management, including action buttons and tooltips.
2026-01-11 15:13:11 +08:00
catlog22
16083130f8 feat: Refactor CLI tool configuration management and introduce skill context loader
- Updated `claude-cli-tools.ts` to support new model configurations and migration from older versions.
- Added `getPredefinedModels` and `getAllPredefinedModels` functions for better model management.
- Deprecated `cli-config-manager.ts` in favor of `claude-cli-tools.ts`, maintaining backward compatibility.
- Introduced `skill-context-loader.ts` to handle skill context loading based on user prompts and keywords.
- Enhanced tool configuration functions to include secondary models and improved migration logic.
- Updated index file to register the new skill context loader tool.
2026-01-11 13:56:20 +08:00
catlog22
2c11392848 feat: auto-update developmentIndex on session archive (closes #58)
- Add updateDevelopmentIndex() function to session-manager.ts
- Auto-append entry to developmentIndex when archiving sessions
- Add timeline view toggle for Development History section
- Support both 'archivedAt' and 'date' field names for compatibility
- Add dynamic calculation for statistics (Total Features, Last Updated)
- Add CSS styles for timeline view
2026-01-11 11:05:41 +08:00
catlog22
30ff742310 feat: 添加高可用性模型池支持,优化路径解析功能 2026-01-08 23:54:32 +08:00
catlog22
84168825d6 feat: 添加工具调用支持,增强 CLI 工具和 MCP 管理功能 2026-01-08 23:32:27 +08:00
catlog22
311ce2e4bc feat: 添加推荐 MCP 服务器功能和安装向导 2026-01-08 22:37:50 +08:00
catlog22
ea5c0bc9a4 feat: Enhance CLI tools and settings management
- Added auto-initialization of CSRF token for state-changing requests in cli-manager.js.
- Refactored Claude CLI Tools configuration to separate tools and settings into cli-tools.json and cli-settings.json respectively.
- Introduced new interfaces for Claude CLI Tools and Settings, including support for tags and primary models.
- Implemented loading and saving functions for CLI settings, ensuring backward compatibility with legacy combined config.
- Updated functions to synchronize tags between CLI tools and configuration manager.
- Added error handling and logging for loading and saving configurations.
- Created initial cli-settings.json with default settings.
2026-01-08 22:00:07 +08:00
catlog22
0bd2cff5b7 feat: 添加 OpenCode AI 助手支持,增强 CLI 工具功能 2026-01-08 20:39:41 +08:00
catlog22
faf32b5086 fix: 改为在文件末尾添加独立章节
- 启用时添加 "## 中文回复" 章节到文件末尾
- 禁用时移除整个章节
- 不再依赖标题匹配
2026-01-08 20:27:09 +08:00
catlog22
8f7ab3e268 fix: 修复 Codex AGENTS.md 标题匹配模式
- 支持 "Codex Code Guidelines" 和 "Codex Instructions" 两种标题
- 使用不区分大小写的正则匹配
2026-01-08 20:25:04 +08:00
catlog22
a433861f77 feat: 中文回复设置支持 Claude 和 Codex 双 CLI
- 后端 API 支持 target 参数区分 claude/codex
- 前端界面分别显示 CLAUDE.md 和 AGENTS.md 状态
- 添加中英文翻译支持
2026-01-08 20:16:22 +08:00
catlog22
886a8ef8b0 refactor: 精简中文回复准则,支持中文 commit
- 移除冗余格式说明,保留核心规则
- Git commit 规则改为使用中文提交信息
- 文件从 39 行精简至 25 行
2026-01-08 20:06:54 +08:00
catlog22
3124125b4c feat: 添加标签颜色变体和验证功能,增强工具配置管理 2026-01-08 19:11:27 +08:00
catlog22
d0523684e5 feat: Enhance CLI output handling with structured Intermediate Representation (IR)
- Introduced `CliOutputUnit` and `IOutputParser` interfaces for unified output processing.
- Implemented `PlainTextParser` and `JsonLinesParser` for parsing raw CLI output into structured units.
- Updated `executeCliTool` to utilize output parsers and handle structured output.
- Added `flattenOutputUnits` utility for extracting clean output from structured data.
- Enhanced `ConversationTurn` and `ExecutionRecord` interfaces to include structured output.
- Created comprehensive documentation for CLI Output Converter usage and integration.
- Improved error handling and type mapping for various output formats.
2026-01-08 17:26:40 +08:00
catlog22
b86cdd6644 feat(cli-settings): Implement CLI settings management and routes
- Added CLI settings file manager to handle endpoint configurations.
- Introduced API routes for creating, updating, deleting, and listing CLI settings.
- Enhanced session discovery for OpenCode with improved storage structure.
- Updated command building logic for OpenCode and Claude to support new settings.
- Added validation and sanitization for endpoint IDs and settings.
- Implemented functionality to toggle endpoint enabled status and retrieve executable settings paths.
2026-01-08 14:15:32 +08:00
catlog22
55fa170b4e feat: 添加对 OpenCode 的支持,更新 CLI 工具配置和会话发现逻辑 2026-01-08 10:47:07 +08:00
catlog22
d2d6cce5f4 feat: 添加忽略模式配置接口和前端支持,允许用户自定义索引排除项 2026-01-07 23:33:40 +08:00
catlog22
178d45e232 Merge branch 'main' of https://github.com/catlog22/Claude-Code-Workflow 2026-01-07 22:36:49 +08:00
catlog22
09d99abee6 Issue Queue: issue-exec-20260106-160325 (#52)
* feat(security): Secure dashboard server by default

## Solution Summary
- Solution-ID: SOL-DSC-002-1
- Issue-ID: DSC-002

## Tasks Completed
- [T1] JWT token manager (24h expiry, persisted secret/token)
- [T2] API auth middleware + localhost token endpoint
- [T3] Default bind 127.0.0.1, add --host with warning
- [T4] Localhost-only CORS with credentials + Vary
- [T5] SECURITY.md documentation + README link

## Verification
- npm run build
- npm test -- ccw/tests/token-manager.test.ts ccw/tests/middleware.test.ts ccw/tests/server-auth.integration.test.ts ccw/tests/server.test.ts ccw/tests/cors.test.ts

* fix(security): Prevent command injection in Windows spawn()

## Solution Summary
- **Solution-ID**: SOL-DSC-001-1
- **Issue-ID**: DSC-001
- **Risk/Impact/Complexity**: high/high/medium

## Tasks Completed
- [T1] Create Windows shell escape utility
- [T2] Escape cli-executor spawn() args on Windows
- [T3] Add command injection regression tests

## Files Modified
- ccw/src/utils/shell-escape.ts
- ccw/src/tools/cli-executor.ts
- ccw/tests/shell-escape.test.ts
- ccw/tests/security/command-injection.test.ts

## Verification
- npm run build
- npm test -- ccw/tests/shell-escape.test.ts ccw/tests/security/command-injection.test.ts

* fix(security): Harden path validation (DSC-005)

## Solution Summary
- Solution-ID: SOL-DSC-005-1
- Issue-ID: DSC-005

## Tasks Completed
- T1: Refactor path validation to pre-resolution checking
- T2: Implement allowlist-based path validation
- T3: Add path validation to API routes
- T4: Add path security regression tests

## Files Modified
- ccw/src/utils/path-resolver.ts
- ccw/src/utils/path-validator.ts
- ccw/src/core/routes/graph-routes.ts
- ccw/src/core/routes/files-routes.ts
- ccw/src/core/routes/skills-routes.ts
- ccw/tests/path-resolver.test.ts
- ccw/tests/graph-routes.test.ts
- ccw/tests/files-routes.test.ts
- ccw/tests/skills-routes.test.ts
- ccw/tests/security/path-traversal.test.ts

## Verification
- npm run build
- npm test -- path-resolver.test.ts
- npm test -- path-validator.test.ts
- npm test -- graph-routes.test.ts
- npm test -- files-routes.test.ts
- npm test -- skills-routes.test.ts
- npm test -- ccw/tests/security/path-traversal.test.ts

* fix(security): Prevent credential leakage (DSC-004)

## Solution Summary
- Solution-ID: SOL-DSC-004-1
- Issue-ID: DSC-004

## Tasks Completed
- T1: Create credential handling security tests
- T2: Add log sanitization tests
- T3: Add env var leakage prevention tests
- T4: Add secure storage tests

## Files Modified
- ccw/src/config/litellm-api-config-manager.ts
- ccw/src/core/routes/litellm-api-routes.ts
- ccw/tests/security/credential-handling.test.ts

## Verification
- npm run build
- node --experimental-strip-types --test ccw/tests/security/credential-handling.test.ts

* test(ranking): expand normalize_weights edge case coverage (ISS-1766920108814-0)

## Solution Summary
- Solution-ID: SOL-20251228113607
- Issue-ID: ISS-1766920108814-0

## Tasks Completed
- T1: Fix NaN and invalid total handling in normalize_weights
- T2: Add unit tests for NaN edge cases in normalize_weights

## Files Modified
- codex-lens/tests/test_rrf_fusion.py

## Verification
- python -m pytest codex-lens/tests/test_rrf_fusion.py::TestNormalizeBM25Score -v
- python -m pytest codex-lens/tests/test_rrf_fusion.py -v -k normalize
- python -m pytest codex-lens/tests/test_rrf_fusion.py::TestReciprocalRankFusion::test_weight_normalization codex-lens/tests/test_cli_hybrid_search.py::TestCLIHybridSearch::test_weights_normalization -v

* feat(security): Add CSRF protection and tighten CORS (DSC-006)

## Solution Summary
- Solution-ID: SOL-DSC-006-1
- Issue-ID: DSC-006
- Risk/Impact/Complexity: high/high/medium

## Tasks Completed
- T1: Create CSRF token generation system
- T2: Add CSRF token endpoints
- T3: Implement CSRF validation middleware
- T4: Restrict CORS to trusted origins
- T5: Add CSRF security tests

## Files Modified
- ccw/src/core/auth/csrf-manager.ts
- ccw/src/core/auth/csrf-middleware.ts
- ccw/src/core/routes/auth-routes.ts
- ccw/src/core/server.ts
- ccw/tests/csrf-manager.test.ts
- ccw/tests/auth-routes.test.ts
- ccw/tests/csrf-middleware.test.ts
- ccw/tests/security/csrf.test.ts

## Verification
- npm run build
- node --experimental-strip-types --test ccw/tests/csrf-manager.test.ts
- node --experimental-strip-types --test ccw/tests/auth-routes.test.ts
- node --experimental-strip-types --test ccw/tests/csrf-middleware.test.ts
- node --experimental-strip-types --test ccw/tests/cors.test.ts
- node --experimental-strip-types --test ccw/tests/security/csrf.test.ts

* fix(cli-executor): prevent stale SIGKILL timeouts

## Solution Summary

- Solution-ID: SOL-DSC-007-1

- Issue-ID: DSC-007

- Risk/Impact/Complexity: low/low/low

## Tasks Completed

- [T1] Store timeout handle in killCurrentCliProcess

## Files Modified

- ccw/src/tools/cli-executor.ts

- ccw/tests/cli-executor-kill.test.ts

## Verification

- node --experimental-strip-types --test ccw/tests/cli-executor-kill.test.ts

* fix(cli-executor): enhance merge validation guards

## Solution Summary

- Solution-ID: SOL-DSC-008-1

- Issue-ID: DSC-008

- Risk/Impact/Complexity: low/low/low

## Tasks Completed

- [T1] Enhance sourceConversations array validation

## Files Modified

- ccw/src/tools/cli-executor.ts

- ccw/tests/cli-executor-merge-validation.test.ts

## Verification

- node --experimental-strip-types --test ccw/tests/cli-executor-merge-validation.test.ts

* refactor(core): remove @ts-nocheck from core routes

## Solution Summary
- Solution-ID: SOL-DSC-003-1
- Issue-ID: DSC-003
- Queue-ID: QUE-20260106-164500
- Item-ID: S-9

## Tasks Completed
- T1: Create shared RouteContext type definition
- T2: Remove @ts-nocheck from small route files
- T3: Remove @ts-nocheck from medium route files
- T4: Remove @ts-nocheck from large route files
- T5: Remove @ts-nocheck from remaining core files

## Files Modified
- ccw/src/core/dashboard-generator-patch.ts
- ccw/src/core/dashboard-generator.ts
- ccw/src/core/routes/ccw-routes.ts
- ccw/src/core/routes/claude-routes.ts
- ccw/src/core/routes/cli-routes.ts
- ccw/src/core/routes/codexlens-routes.ts
- ccw/src/core/routes/discovery-routes.ts
- ccw/src/core/routes/files-routes.ts
- ccw/src/core/routes/graph-routes.ts
- ccw/src/core/routes/help-routes.ts
- ccw/src/core/routes/hooks-routes.ts
- ccw/src/core/routes/issue-routes.ts
- ccw/src/core/routes/litellm-api-routes.ts
- ccw/src/core/routes/litellm-routes.ts
- ccw/src/core/routes/mcp-routes.ts
- ccw/src/core/routes/mcp-routes.ts.backup
- ccw/src/core/routes/mcp-templates-db.ts
- ccw/src/core/routes/nav-status-routes.ts
- ccw/src/core/routes/rules-routes.ts
- ccw/src/core/routes/session-routes.ts
- ccw/src/core/routes/skills-routes.ts
- ccw/src/core/routes/status-routes.ts
- ccw/src/core/routes/system-routes.ts
- ccw/src/core/routes/types.ts
- ccw/src/core/server.ts
- ccw/src/core/websocket.ts

## Verification
- npm run build
- npm test

* refactor: split cli-executor and codexlens routes into modules

## Solution Summary
- Solution-ID: SOL-DSC-012-1
- Issue-ID: DSC-012
- Risk/Impact/Complexity: medium/medium/high

## Tasks Completed
- [T1] Extract execution orchestration from cli-executor.ts (Refactor ccw/src/tools)
- [T2] Extract route handlers from codexlens-routes.ts (Refactor ccw/src/core/routes)
- [T3] Extract prompt concatenation logic from cli-executor (Refactor ccw/src/tools)
- [T4] Document refactored module architecture (Docs)

## Files Modified
- ccw/src/tools/cli-executor.ts
- ccw/src/tools/cli-executor-core.ts
- ccw/src/tools/cli-executor-utils.ts
- ccw/src/tools/cli-executor-state.ts
- ccw/src/tools/cli-prompt-builder.ts
- ccw/src/tools/README.md
- ccw/src/core/routes/codexlens-routes.ts
- ccw/src/core/routes/codexlens/config-handlers.ts
- ccw/src/core/routes/codexlens/index-handlers.ts
- ccw/src/core/routes/codexlens/semantic-handlers.ts
- ccw/src/core/routes/codexlens/watcher-handlers.ts
- ccw/src/core/routes/codexlens/utils.ts
- ccw/src/core/routes/codexlens/README.md

## Verification
- npm run build
- npm test

* test(issue): Add comprehensive issue command tests

## Solution Summary
- **Solution-ID**: SOL-DSC-009-1
- **Issue-ID**: DSC-009
- **Risk/Impact/Complexity**: low/high/medium

## Tasks Completed
- [T1] Create issue command test file structure: Create isolated test harness
- [T2] Add JSONL read/write operation tests: Verify JSONL correctness and errors
- [T3] Add issue lifecycle tests: Verify status transitions and timestamps
- [T4] Add solution binding tests: Verify binding flows and error cases
- [T5] Add queue formation tests: Verify queue creation, IDs, and DAG behavior
- [T6] Add queue execution tests: Verify next/done/retry and status sync

## Files Modified
- ccw/src/commands/issue.ts
- ccw/tests/issue-command.test.ts

## Verification
- node --experimental-strip-types --test ccw/tests/issue-command.test.ts

* test(routes): Add integration tests for route modules

## Solution Summary
- Solution-ID: SOL-DSC-010-1
- Issue-ID: DSC-010
- Queue-ID: QUE-20260106-164500

## Tasks Completed
- [T1] Add tests for ccw-routes.ts
- [T2] Add tests for files-routes.ts
- [T3] Add tests for claude-routes.ts (includes Windows path fix for create)
- [T4] Add tests for issue-routes.ts
- [T5] Add tests for help-routes.ts (avoid hanging watchers)
- [T6] Add tests for nav-status-routes.ts
- [T7] Add tests for hooks/graph/rules/skills/litellm-api routes

## Files Modified
- ccw/src/core/routes/claude-routes.ts
- ccw/src/core/routes/help-routes.ts
- ccw/tests/integration/ccw-routes.test.ts
- ccw/tests/integration/claude-routes.test.ts
- ccw/tests/integration/files-routes.test.ts
- ccw/tests/integration/issue-routes.test.ts
- ccw/tests/integration/help-routes.test.ts
- ccw/tests/integration/nav-status-routes.test.ts
- ccw/tests/integration/hooks-routes.test.ts
- ccw/tests/integration/graph-routes.test.ts
- ccw/tests/integration/rules-routes.test.ts
- ccw/tests/integration/skills-routes.test.ts
- ccw/tests/integration/litellm-api-routes.test.ts

## Verification
- node --experimental-strip-types --test ccw/tests/integration/ccw-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/files-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/claude-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/issue-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/help-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/nav-status-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/hooks-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/graph-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/rules-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/skills-routes.test.ts
- node --experimental-strip-types --test ccw/tests/integration/litellm-api-routes.test.ts

* refactor(core): Switch cache and lite scanning to async fs

## Solution Summary
- Solution-ID: SOL-DSC-013-1
- Issue-ID: DSC-013
- Queue-ID: QUE-20260106-164500

## Tasks Completed
- [T1] Convert cache-manager.ts to async file operations
- [T2] Convert lite-scanner.ts to async file operations
- [T3] Update cache-manager call sites to await async API
- [T4] Update lite-scanner call sites to await async API

## Files Modified
- ccw/src/core/cache-manager.ts
- ccw/src/core/lite-scanner.ts
- ccw/src/core/data-aggregator.ts

## Verification
- npm run build
- npm test

* fix(exec): Add timeout protection for execSync

## Solution Summary
- Solution-ID: SOL-DSC-014-1
- Issue-ID: DSC-014
- Queue-ID: QUE-20260106-164500

## Tasks Completed
- [T1] Add timeout to execSync calls in python-utils.ts
- [T2] Add timeout to execSync calls in detect-changed-modules.ts
- [T3] Add timeout to execSync calls in claude-freshness.ts
- [T4] Add timeout to execSync calls in issue.ts
- [T5] Consolidate execSync timeout constants and audit coverage

## Files Modified
- ccw/src/utils/exec-constants.ts
- ccw/src/utils/python-utils.ts
- ccw/src/tools/detect-changed-modules.ts
- ccw/src/core/claude-freshness.ts
- ccw/src/commands/issue.ts
- ccw/src/tools/smart-search.ts
- ccw/src/tools/codex-lens.ts
- ccw/src/core/routes/codexlens/config-handlers.ts

## Verification
- npm run build
- npm test
- node --experimental-strip-types --test ccw/tests/issue-command.test.ts

* feat(cli): Add progress spinner with elapsed time for long-running operations

## Solution Summary
- Solution-ID: SOL-DSC-015-1
- Issue-ID: DSC-015
- Queue-Item: S-15
- Risk/Impact/Complexity: low/medium/low

## Tasks Completed
- [T1] Add progress spinner to CLI execution: Update ccw/src/commands/cli.ts

## Files Modified
- ccw/src/commands/cli.ts
- ccw/tests/cli-command.test.ts

## Verification
- node --experimental-strip-types --test ccw/tests/cli-command.test.ts
- node --experimental-strip-types --test ccw/tests/cli-executor-kill.test.ts
- node --experimental-strip-types --test ccw/tests/cli-executor-merge-validation.test.ts

* fix(cli): Move full output hint immediately after truncation notice

## Solution Summary
- Solution-ID: SOL-DSC-016-1
- Issue-ID: DSC-016
- Queue-Item: S-16
- Risk/Impact/Complexity: low/high/low

## Tasks Completed
- [T1] Relocate output hint after truncation: Update ccw/src/commands/cli.ts

## Files Modified
- ccw/src/commands/cli.ts
- ccw/tests/cli-command.test.ts

## Verification
- npm run build
- node --experimental-strip-types --test ccw/tests/cli-command.test.ts

* feat(cli): Add confirmation prompts for destructive operations

## Solution Summary
- Solution-ID: SOL-DSC-017-1
- Issue-ID: DSC-017
- Queue-Item: S-17
- Risk/Impact/Complexity: low/high/low

## Tasks Completed
- [T1] Add confirmation to storage clean operations: Update ccw/src/commands/cli.ts
- [T2] Add confirmation to issue queue delete: Update ccw/src/commands/issue.ts

## Files Modified
- ccw/src/commands/cli.ts
- ccw/src/commands/issue.ts
- ccw/tests/cli-command.test.ts
- ccw/tests/issue-command.test.ts

## Verification
- npm run build
- node --experimental-strip-types --test ccw/tests/cli-command.test.ts
- node --experimental-strip-types --test ccw/tests/issue-command.test.ts

* feat(cli): Improve multi-line prompt guidance

## Solution Summary
- Solution-ID: SOL-DSC-018-1
- Issue-ID: DSC-018
- Queue-Item: S-18
- Risk/Impact/Complexity: low/medium/low

## Tasks Completed
- [T1] Update CLI help to emphasize --file option: Update ccw/src/commands/cli.ts
- [T2] Add inline hint for multi-line detection: Update ccw/src/commands/cli.ts

## Files Modified
- ccw/src/commands/cli.ts
- ccw/tests/cli-command.test.ts

## Verification
- npm run build
- node --experimental-strip-types --test ccw/tests/cli-command.test.ts

---------

Co-authored-by: catlog22 <catlog22@github.com>
2026-01-07 22:35:46 +08:00
catlog22
6e93c36b89 feat: 优化工作区索引状态刷新,增强头部徽章更新逻辑 2026-01-07 22:28:36 +08:00
catlog22
fae2f7e279 feat: 始终注册队列变更回调以支持标准输出(TypeScript 后端) 2026-01-07 22:21:11 +08:00
catlog22
2e68a18afd fix: 修复 stopWatcherProcess 函数的错误处理,确保返回值一致性 2026-01-07 22:10:20 +08:00
catlog22
05514631f2 feat: Enhance JSON streaming parsing and UI updates
- Added a function to parse JSON streaming content in core-memory.js, extracting readable text from messages.
- Updated memory detail view to utilize the new parsing function for content and summary.
- Introduced an enableReview option in rules-manager.js, allowing users to toggle review functionality in rule creation.
- Simplified skill creation modal in skills-manager.js by removing generation type selection UI.
- Improved CLI executor to handle tool calls for file writing, ensuring proper output parsing.
- Adjusted CLI command tests to set timeout to 0 for immediate execution.
- Updated file watcher to implement a true debounce mechanism and added a pending queue status for UI updates.
- Enhanced watcher manager to handle queue changes and provide JSON output for better integration with TypeScript backend.
- Established TypeScript naming conventions documentation to standardize code style across the project.
2026-01-07 21:51:26 +08:00
catlog22
e9fb7be85f feat: 增强工作树管理功能,支持恢复现有工作树并优化执行命令的参数提示 2026-01-07 16:58:30 +08:00
catlog22
42fbc1936d feat: 更新执行命令的参数提示,支持指定现有工作树路径,增强工作树管理功能 2026-01-07 16:54:23 +08:00
catlog22
87d38a3374 feat: 添加重排序模型配置,支持最大输入令牌数,优化 API 批处理能力 2026-01-07 15:50:22 +08:00
catlog22
6aa79c6dc9 feat: 添加工作空间索引状态接口,增强 CodexLens 状态检查功能,支持前端显示索引信息 2026-01-07 11:36:06 +08:00
catlog22
1bd3d9c9bf feat: 移除文档语言配置,优化代码语言分类 2026-01-07 10:10:25 +08:00
catlog22
86d3e36722 feat: 增强解决方案管理功能,支持按解决方案 ID 过滤和简要输出,优化嵌入模型配置读取 2026-01-07 09:31:52 +08:00
catlog22
05f762117a feat: 添加 CodexLens 配置接口,增强索引状态检查功能,支持并行获取状态和配置 2026-01-06 23:34:10 +08:00
catlog22
1298fdd20f feat: 增加搜索功能的代码过滤选项,支持排除特定文件扩展名和仅返回代码文件 2026-01-06 23:19:47 +08:00
catlog22
ef770ff29b Add comprehensive code review specifications and templates
- Introduced best practices requirements specification covering code quality, performance, maintainability, error handling, and documentation standards.
- Established quality standards with overall quality metrics and mandatory checks for security, code quality, performance, and maintainability.
- Created security requirements specification aligned with OWASP Top 10 and CWE Top 25, detailing checks and patterns for common vulnerabilities.
- Developed templates for documenting best practice findings, security findings, and generating reports, including structured markdown and JSON formats.
- Updated dependencies in the project, ensuring compatibility and stability.
- Added test files and README documentation for vector indexing tests.
2026-01-06 23:11:15 +08:00
catlog22
02d66325a0 feat: 添加调试探索代理文档,包含五阶段调试工作流程和NDJSON日志格式 2026-01-06 17:02:40 +08:00
catlog22
a5024bdcbb feat: 更新命令文档,增强 Bash 兼容性并添加动态模型选项更新功能 2026-01-06 15:39:22 +08:00
catlog22
6cb819cb3a Enhance FastEmbed Integration and GPU Management
- Updated Windows platform guidelines for path formats and Bash rules.
- Refactored CodexLens routes to improve GPU detection and indexing cancellation logic.
- Added FastEmbed installation status handling in the dashboard, including UI updates for installation and reinstallation options.
- Implemented local model management with improved API responses for downloaded models.
- Enhanced GPU selection logic in the model mode configuration.
- Improved error handling and user feedback for FastEmbed installation processes.
- Adjusted Python environment checks to avoid shell escaping issues on Windows.
2026-01-06 14:42:00 +08:00
catlog22
08099cdcb9 feat: 增加 Python 冷启动超时至 15 秒,并优化获取状态和配置的命令 2026-01-06 08:56:55 +08:00
catlog22
1451594ae6 feat: Add user action prompt after issue discovery and enhance environment variable support for embedding and reranker configurations 2026-01-05 23:58:23 +08:00
catlog22
2e90230097 feat: Update import path for TextCrossEncoder to support fastembed versioning and add fallback for older versions 2026-01-05 23:13:52 +08:00
catlog22
f90c6b9fab feat: Enhance CodexLens uninstallation process with improved error handling and process termination for locked files 2026-01-05 22:40:26 +08:00
catlog22
853977c676 feat: Add reranker model management commands and UI integration
- Implemented CLI commands for listing, downloading, deleting, and retrieving information about reranker models.
- Enhanced the dashboard UI to support embedding and reranker configurations with internationalization.
- Updated environment variable management for embedding and reranker settings.
- Added functionality to dynamically update model options based on selected backend.
- Improved user experience with status indicators and action buttons for model management.
- Integrated new reranker models with detailed metadata and recommendations.
2026-01-05 21:23:09 +08:00
catlog22
2087f2d350 feat: add new translations for index management, incremental update, and environment variables in i18n module; enhance UI for API model info display and streamline index management section 2026-01-05 20:19:19 +08:00
catlog22
f4585c8dea feat: enhance reranker and embedding configuration management with settings.json support 2026-01-05 17:21:34 +08:00
catlog22
a2c599d6fa Refactor workflow commands to use "execute" terminology instead of "dispatch" for clarity and consistency across TDD, test generation, and UI design processes. Update task attachment model descriptions and ensure all phases reflect the new execution model. Additionally, hide certain UI elements in the dashboard template to disable unused features. 2026-01-05 11:40:53 +08:00
catlog22
256a07e584 feat: update server port handling and improve session lifecycle test assertions 2026-01-05 10:48:08 +08:00
catlog22
b361f42c1c Add E2E tests for MCP Tool Execution and Session Lifecycle
- Implement comprehensive end-to-end tests for MCP Tool Execution, covering tool discovery, execution, parameter validation, error handling, and timeout scenarios.
- Introduce tests for the complete lifecycle of a workflow session, including initialization, task management, status updates, and archiving.
- Validate dual parameter format support and handle boundary conditions such as invalid JSON, non-existent sessions, and path traversal attempts.
- Ensure concurrent task updates are handled without data loss and that task data is preserved when archiving sessions.
- List sessions across all locations and verify metadata inclusion in the results.
2026-01-05 09:44:08 +08:00
catlog22
33f2aef4e6 feat: enhance CLI stream viewer with active execution synchronization and improved tab UI 2026-01-04 23:17:58 +08:00
catlog22
4fb6b2d1de feat: add danger protection hooks and internationalization support for confirmation dialogs 2026-01-04 22:43:15 +08:00
catlog22
373f1d57c1 feat: update CLI timeout handling and add active execution state management 2026-01-04 22:14:43 +08:00
catlog22
81f4d084b0 feat: add navigation status routes and update badge aggregation logic 2026-01-04 21:04:28 +08:00
catlog22
2a13d8b17f feat: update CLI commands to new structure and enhance settings handling 2026-01-04 19:56:40 +08:00
catlog22
27a0129f72 feat: update execution commands to commit once per solution and enhance reranker model handling 2026-01-04 15:09:47 +08:00
catlog22
7e3d9007cd Remove remote installation script (install-remote.sh) due to deprecation and transition to new installation methods. 2026-01-04 12:04:13 +08:00
catlog22
df4d6fdc45 feat: enhance watcher control modal to fetch indexed projects and set default path 2026-01-04 11:20:49 +08:00
catlog22
f28b6c6197 feat: implement CodexLens watcher status handling and UI updates 2026-01-03 23:47:02 +08:00
catlog22
1825ed3bcf feat: update CodexLens route to spawn watcher using Python and add getVenvPythonPath export 2026-01-03 22:41:34 +08:00
catlog22
504ccfebbc feat: add reranker models to ProviderCredential and improve FastEmbedReranker scoring
- Added `rerankerModels` property to the `ProviderCredential` interface in `litellm-api-config.ts` to support additional reranker configurations.
- Introduced a numerically stable sigmoid function in `FastEmbedReranker` for score normalization.
- Updated the scoring logic in `FastEmbedReranker` to use raw float scores from the encoder and normalize them using the new sigmoid function.
- Adjusted the result mapping to maintain original document order while applying normalization.
2026-01-03 22:20:06 +08:00
catlog22
74ad2d0463 feat(issue-queue): add multi-queue parallel execution support
Add --queues parameter to enable parallel queue formation with multiple
issue-queue-agents. Solutions are partitioned by file overlap to minimize
cross-queue conflicts. Queue groups are linked via queue_group field.
2026-01-03 20:55:48 +08:00
catlog22
0af84be775 feat(model-lock): implement model lock management with localStorage support 2026-01-03 19:48:07 +08:00
catlog22
6043e6aa3b docs: improve task division strategy and add post-review prompt
- Add task division strategy to action-planning-agent: minimize count,
  share context, avoid overload
- Add post-review action to workflow review: prompt user to complete session
2026-01-03 19:42:40 +08:00
catlog22
e3dba87e08 feat(skills): add CCW orchestrator and refactor command-guide to ccw-help
CCW Skill (new):
- Stateless workflow orchestrator with intent classification
- 6 workflow combinations: rapid, full, coupled, bugfix, issue, ui
- External configuration: intent-rules.json, workflow-chains.json
- Implicit CLI tool injection (Gemini/Qwen/Codex)
- TODO tracking integration for workflow progress

CCW-Help Skill (refactored from command-guide):
- Renamed command-guide → ccw-help
- Removed reference folder duplication
- Source paths now relative from index/ (../../../commands/...)
- Added all-agents.json index
- Simplified SKILL.md following CCW pattern
2026-01-03 18:46:59 +08:00
catlog22
ad6c18f615 fix(security): prevent command injection and strengthen input validation
BREAKING: executeCodexLens now uses shell:false to prevent RCE

Security fixes:
- Remove shell:true from spawn() to prevent command injection (CRITICAL)
- Add .env value escaping to prevent injection when file is sourced
- Strengthen path validation with startsWith to block subdirectories
- Add path traversal detection (../)
- Improve JSON extraction to handle trailing CLI output

Features:
- Refactor CodexLens panel to tabbed layout (Overview/Settings/Search/Advanced)
- Add environment variables editor for ~/.codexlens/.env
- Add API concurrency settings (max_workers, batch_size)
- Add escapeHtml() helper to prevent XSS
- Implement merge mode for env saving to preserve custom variables
2026-01-03 18:33:47 +08:00
catlog22
be498acf59 feat: Add code analysis and LLM action templates with detailed configurations and examples
- Introduced a comprehensive code analysis action template for integrating code exploration and analysis capabilities.
- Added LLM action template for seamless integration of LLM calls with customizable prompts and tools.
- Implemented a benchmark search script to compare multiple search methods across various dimensions including speed, result quality, ranking stability, and coverage.
- Provided preset configurations for common analysis tasks and LLM actions, enhancing usability and flexibility.
2026-01-03 17:37:49 +08:00
catlog22
6a45035e3f fix: align test-fix-agent with code-developer task parsing
- Add Command-to-Tool Mapping for pre_analysis commands
- Add Execution Mode Selection for implementation_approach steps
  - command field exists → Execute CLI via Bash
  - no command → Agent direct execution with test_commands
2026-01-03 17:34:55 +08:00
catlog22
28bd781062 fix: improve workflow execute command and agent task parsing
- Fix bash command syntax in execute.md for Windows compatibility
  - Convert multi-line for loop to single-line format
  - Use single quotes for grep patterns to avoid escaping issues

- Simplify agent prompt template in execute.md
  - Path-based invocation instead of embedding task content
  - Add [FLOW_CONTROL] and "Implement" markers to trigger agent behavior

- Enhance code-developer.md Task JSON parsing
  - Add explicit Task JSON field mapping (requirements, acceptance, etc.)
  - Add STEP 1/2/3 execution flow for clarity
  - Add Pre-Analysis Execution format with command-to-tool mapping
  - Define default behavior when command field is missing
  - Priority: Use tech_stack from JSON before auto-detection

- Add execution_config alignment rules to action-planning-agent.md
  - Ensure meta.execution_config matches implementation_approach
  - "agent" mode: no command fields, cli_tool: null
  - "hybrid" mode: some command fields
  - "cli" mode: all steps have command fields
2026-01-03 17:26:23 +08:00
catlog22
9922d455da feat: Add templates for autonomous actions, orchestrators, sequential phases, and skill documentation
- Introduced a comprehensive template for autonomous actions, detailing structure, execution, and error handling.
- Added an orchestrator template to manage state and decision logic for autonomous actions.
- Created a sequential phase template to outline execution steps and objectives for structured workflows.
- Developed a skill documentation template to standardize the generation of skill entry files.
- Implemented a Python script to compare search results between hybrid and cascade methods, analyzing ranking changes.
2026-01-03 15:58:31 +08:00
catlog22
ac23fe5b5a docs: sync version numbers to v6.3.18 across all documentation
- Update README.md/README_CN.md badges and version text to v6.3.18
- Update INSTALL.md version menu examples from v4.6.0 to v6.3.18
- Fix INSTALL_CN.md repository URL (Claude-CCW → Claude-Code-Workflow)
- Fix INSTALL_CN.md directory name (Dmsflow → Claude-Code-Workflow)
2026-01-03 15:22:57 +08:00
catlog22
bab5625123 feat: 添加全局环境变量加载功能并更新配置说明 2026-01-03 15:14:45 +08:00
catlog22
f674b90a62 chore: add .ccw/worktrees/ to gitignore 2026-01-03 12:49:13 +08:00
catlog22
6a545fdeb7 fix(issue): Enhance worktree detection with fallback support
- Add normalizePath() for Windows case-insensitive comparison
- Add resolveMainRepoFromGitFile() to parse .git file when git command fails
- Enhanced fallback logic reads .git file content (gitdir: path) to find main repo
- Supports worktree detection even without git CLI available
2026-01-03 12:32:26 +08:00
catlog22
b01f021f1c docs(issue): Simplify worktree instructions with auto-detection
ccw issue commands now auto-detect worktree and redirect to main repo,
so shell_command no longer needs workdir parameter.
2026-01-03 12:27:59 +08:00
catlog22
f934ea6664 feat(issue): Auto-detect worktree and redirect to main repo
getProjectRoot() now detects if running from a git worktree and
automatically resolves to the main repository path. This allows
all ccw issue commands to work correctly from within a worktree.

Uses git rev-parse --git-common-dir to find main repo's .git
2026-01-03 12:26:34 +08:00
catlog22
52639c9bdd fix(issue): Use correct Codex tool interfaces
- update_plan: { explanation, plan: [{step, status}] }
- shell_command: { command, workdir } for ccw commands in main repo
- multi_tool_use.parallel for reading context files in parallel
2026-01-03 12:19:39 +08:00
catlog22
152fb6b6ad fix(issue): Fix worktree execution and Codex tool compatibility
- ccw issue commands must run from main repo (not worktree)
- Add worktree execution pattern: fetch solution -> cd worktree -> implement -> cd main -> done
- Replace TodoWrite with update_plan for Codex compatibility
- Add rule 10: worktree ccw commands from main repo
2026-01-03 12:12:49 +08:00
catlog22
990cf8a05d fix(issue): Improve worktree implementation safety
- Use absolute paths via git rev-parse --show-toplevel
- Add cleanup traps for graceful failure handling (EXIT/INT/TERM)
- Add git worktree prune at startup for stale worktrees
- Validate main repo state before merge (fallback to PR if dirty)
- Change default to "Create PR" for parallel execution safety
- Move worktree directory to .ccw/worktrees/ (gitignored)
2026-01-03 11:56:15 +08:00
catlog22
713894090d feat(codexlens): Improve search defaults and add explicit SPLADE mode
Config changes:
- Disable SPLADE by default (slow ~360ms), use FTS instead
- Enable use_fts_fallback by default for faster sparse search

CLI improvements:
- Fix duplicate index_app typer definition
- Add cascade_search dispatch for cascade method
- Rename 'mode' to 'method' in search output
- Mark embeddings-status, splade-status as deprecated
- Add enable_splade and enable_cascade to search options

Hybrid search:
- Add enable_splade parameter for explicit SPLADE mode
- Add fallback handling when SPLADE is requested but unavailable
2026-01-03 11:49:58 +08:00
catlog22
2391c77910 feat(issue): Add user choice for worktree completion in Claude execute.md
- Replace auto-merge with AskUserQuestion (merge/PR/keep)
- Consistent with .codex/prompts/issue-execute.md behavior
2026-01-03 11:49:14 +08:00
catlog22
ffb0e90ff3 feat(issue): Add user choice for worktree completion (merge/PR/keep)
- Replace auto-delete cleanup with AskUserQuestion
- Options: Merge to main, Create PR, Keep branch
- Prevents accidental loss of worktree commits
2026-01-03 11:48:14 +08:00
catlog22
740bd1b61e fix(codexlens): Fix constructor and path handling issues
1. GlobalSymbolIndex constructor: Add project_id parameter lookup
   - Get project_id from registry using source_root
   - Pass project_id to GlobalSymbolIndex constructor

2. Binary cascade search path handling:
   - Add VectorMetadataStore import for centralized search
   - Fix _build_results_from_candidates to handle centralized mode
   - Use VectorMetadataStore for metadata, source_index_db for embeddings
   - Properly distinguish between index_root and index_path

3. Dense reranking for centralized search:
   - Get chunk metadata from _vectors_meta.db
   - Group chunks by source_index_db
   - Retrieve dense embeddings from respective _index.db files
2026-01-03 11:47:07 +08:00
catlog22
a364a10d6a fix(ccw): Add path validation for --cd parameter in CLI executor
Validate working directory path before passing to spawn() to prevent
ENOENT errors when malformed paths are provided. Uses existing
validatePath utility for path validation and existence checks.

- Import validatePath from path-resolver
- Validate cd parameter with mustExist check before use
- Provide clear error message with invalid path details
2026-01-03 11:46:51 +08:00
catlog22
441bcb9e99 docs(issue): Update prompts with multi-queue and worktree support
- issue-queue.md: Add multi-queue management section (activate, priority)
- issue-execute.md: Add --worktree parameter for parallel isolation
- execute.md: Add worktree option in AskUserQuestion and dispatchExecutor
2026-01-03 11:44:14 +08:00
catlog22
714f0c539b feat(workflow): Add archived session support for /workflow:review
- Add --archived flag to explicitly review archived sessions
- Auto-detect session location (active first, then archives)
- Update all path references to use resolved sessionPath
- Add usage examples for archived session review
2026-01-03 11:38:50 +08:00
catlog22
255d4244ea fix(workflow): Add user choice for session completion and sync task status on archive
- Replace auto-complete with AskUserQuestion in execute.md Phase 5
  - User can choose "Enter Review" or "Complete Session"
- Fix archived tasks showing incomplete on dashboard
  - executeArchive now updates all .task/*.json status to completed
2026-01-03 11:36:20 +08:00
catlog22
4fb247f7c5 feat(issue): Add multi-queue support and enhanced failure handling
- Add --queue parameter for explicit queue targeting (next, dag, detail, done, retry)
- Implement serialized multi-queue execution (complete Q1 before Q2)
- Add queue activate/priority subcommands for multi-queue management
- Add FailureDetail interface for structured failure tracking
- Preserve failure history on retry for debugging
- Show failure reasons and retry count in queue status display
- Auto-detect queue from item ID in done/detail commands
2026-01-03 11:31:49 +08:00
catlog22
54fd94547c feat: Enhance embedding generation and search capabilities
- Added pre-calculation of estimated chunk count for HNSW capacity in `generate_dense_embeddings_centralized` to optimize indexing performance.
- Implemented binary vector generation with memory-mapped storage for efficient cascade search, including metadata saving.
- Introduced SPLADE sparse index generation with improved handling and metadata storage.
- Updated `ChainSearchEngine` to prefer centralized binary searcher for improved performance and added fallback to legacy binary index.
- Deprecated `BinaryANNIndex` in favor of `BinarySearcher` for better memory management and performance.
- Enhanced `SpladeEncoder` with warmup functionality to reduce latency spikes during first-time inference.
- Improved `SpladeIndex` with cache size adjustments for better query performance.
- Added methods for managing binary vectors in `VectorMetadataStore`, including batch insertion and retrieval.
- Created a new `BinarySearcher` class for efficient binary vector search using Hamming distance, supporting both memory-mapped and database loading modes.
2026-01-02 23:57:55 +08:00
catlog22
96b44e1482 feat: Add type validation for RRF weights and implement caching for embedder instances 2026-01-02 19:50:51 +08:00
catlog22
c268b531aa feat: Enhance embedding generation to track current index path and improve metadata retrieval 2026-01-02 19:18:26 +08:00
catlog22
0b6e9db8e4 feat: Add centralized vector storage and metadata management for embeddings 2026-01-02 17:18:23 +08:00
catlog22
9157c5c78b feat: Implement centralized storage for SPLADE and vector embeddings
- Added centralized SPLADE database and vector storage configuration in config.py.
- Updated embedding_manager.py to support centralized SPLADE database path.
- Enhanced generate_embeddings and generate_embeddings_recursive functions for centralized storage.
- Introduced centralized ANN index creation in ann_index.py.
- Modified hybrid_search.py to utilize centralized vector index for searches.
- Implemented methods to discover and manage centralized SPLADE and HNSW files.
2026-01-02 16:53:39 +08:00
catlog22
54fb7afdb2 Enhance semantic search capabilities and configuration
- Added category support for programming and documentation languages in Config.
- Implemented category-based filtering in HybridSearchEngine to improve search relevance based on query intent.
- Introduced functions for filtering results by category and determining file categories based on extensions.
- Updated VectorStore to include a category column in the database schema and modified chunk addition methods to support category tagging.
- Enhanced the WatcherConfig to ignore additional common directories and files.
- Created a benchmark script to compare performance between Binary Cascade, SPLADE, and Vector semantic search methods, including detailed result analysis and overlap comparison.
2026-01-02 15:01:20 +08:00
catlog22
92ed2524b7 feat: Enhance SPLADE indexing command to support multiple index databases and add chunk ID management 2026-01-02 13:25:23 +08:00
catlog22
56c03c847a feat: Add method to retrieve all semantic chunks from the vector store
- Implemented `get_all_chunks` method in `VectorStore` class to fetch all semantic chunks from the database.
- Added a new benchmark script `analyze_methods.py` for analyzing hybrid search methods and storage architecture.
- Included detailed analysis of method contributions, storage conflicts, and FTS + Rerank fusion experiments.
- Updated results JSON structure to reflect new analysis outputs and method performance metrics.
2026-01-02 12:32:43 +08:00
catlog22
9129c981a4 feat: Enhance BinaryANNIndex with vectorized search and performance benchmarking 2026-01-02 11:49:54 +08:00
catlog22
da68ba0b82 feat: Implement cascade indexing command and benchmark script for performance evaluation 2026-01-02 11:24:06 +08:00
catlog22
e21d801523 feat: Add multi-type embedding backends for cascade retrieval
- Implemented BinaryEmbeddingBackend for fast coarse filtering using 256-dimensional binary vectors.
- Developed DenseEmbeddingBackend for high-precision dense vectors (2048 dimensions) for reranking.
- Created CascadeEmbeddingBackend to combine binary and dense embeddings for two-stage retrieval.
- Introduced utility functions for embedding conversion and distance computation.

chore: Migration 010 - Add multi-vector storage support

- Added 'chunks' table to support multi-vector embeddings for cascade retrieval.
- Included new columns: embedding_binary (256-dim) and embedding_dense (2048-dim) for efficient storage.
- Implemented upgrade and downgrade functions to manage schema changes and data migration.
2026-01-02 10:52:43 +08:00
catlog22
195438d26a feat(splade): add cache directory support for ONNX models and improve thread-local database connection handling 2026-01-01 22:40:00 +08:00
catlog22
5bb01755bc Implement SPLADE sparse encoder and associated database migrations
- Added `splade_encoder.py` for ONNX-optimized SPLADE encoding, including methods for encoding text and batch processing.
- Created `SPLADE_IMPLEMENTATION.md` to document the SPLADE encoder's functionality, design patterns, and integration points.
- Introduced migration script `migration_009_add_splade.py` to add SPLADE metadata and posting list tables to the database.
- Developed `splade_index.py` for managing the SPLADE inverted index, supporting efficient sparse vector retrieval.
- Added verification script `verify_watcher.py` to test FileWatcher event filtering and debouncing functionality.
2026-01-01 17:41:22 +08:00
catlog22
520f2d26f2 feat(codex-lens): add unified reranker architecture and file watcher
Unified Reranker Architecture:
- Add BaseReranker ABC with factory pattern
- Implement 4 backends: ONNX (default), API, LiteLLM, Legacy
- Add .env configuration parsing for API credentials
- Migrate from sentence-transformers to optimum+onnxruntime

File Watcher Module:
- Add real-time file system monitoring with watchdog
- Implement IncrementalIndexer for single-file updates
- Add WatcherManager with signal handling and graceful shutdown
- Add 'codexlens watch' CLI command
- Event filtering, debouncing, and deduplication
- Thread-safe design with proper resource cleanup

Tests: 16 watcher tests + 5 reranker test files

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-01 13:23:52 +08:00
catlog22
8ac27548ad refactor(lite-execute): unify task prompt builder with scope+modification_points
- Consolidate Agent and CLI prompt builders into single buildExecutionPrompt()
- Replace file-based task format with scope + modification_points structure
- Simplify to 4-part task template: Modification Points → How → Reference → Done
- Remove duplicate formatTaskForCLI and buildCLIPrompt functions

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-01 12:46:17 +08:00
catlog22
adc0dd23e4 feat(docs): add swagger-docs command for RESTful API documentation
Add new /memory:swagger-docs command to generate complete Swagger/OpenAPI
documentation following RESTful standards with:
- Global security configuration (Bearer Token auth)
- Complete endpoint documentation with parameters and responses
- Unified error code specification (AUTH/PARAM/BIZ/SYS)
- Multi-language support (--lang zh|en, default: zh)
- Validation test reports

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-01 11:41:57 +08:00
catlog22
31a45f1f30 Add graph expansion and cross-encoder reranking features
- Implemented GraphExpander to enhance search results with related symbols using precomputed neighbors.
- Added CrossEncoderReranker for second-stage search ranking, allowing for improved result scoring.
- Created migrations to establish necessary database tables for relationships and graph neighbors.
- Developed tests for graph expansion functionality, ensuring related results are populated correctly.
- Enhanced performance benchmarks for cross-encoder reranking latency and graph expansion overhead.
- Updated schema cleanup tests to reflect changes in versioning and deprecated fields.
- Added new test cases for Treesitter parser to validate relationship extraction with alias resolution.
2025-12-31 16:58:59 +08:00
catlog22
4bde13e83a chore: bump version to 6.3.18
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-30 22:16:52 +08:00
catlog22
a5ab3f8b26 feat(docs): enhance issue planning and queue documentation with new guidelines and commands 2025-12-30 22:15:16 +08:00
catlog22
d183a647dd chore: bump version to 6.3.17
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-30 20:02:59 +08:00
catlog22
e5797bff8f feat(docs): add guidelines for Git operations to ensure parallel task safety 2025-12-30 19:56:31 +08:00
catlog22
4d73a3c9a9 feat(cli): add streaming output to Dashboard and child process termination
- Add broadcastStreamEvent() for real-time CLI output to Dashboard
- Send CLI_EXECUTION_STARTED/OUTPUT/COMPLETED events via /api/hook
- Add killCurrentCliProcess() to terminate child CLI on SIGINT/SIGTERM
- Track child process reference for cleanup on interruption
- Make CLI stream viewer panel full-height (calc(100vh - 32px))
- Fix completion status not updating by using consistent executionId

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-30 15:56:18 +08:00
catlog22
754cddd4ad fix(python): improve Python detection and pip command reliability
- Add shared python-utils.ts module for consistent Python detection
- Use `python -m pip` instead of direct pip command (fixes "pip not found")
- Support CCW_PYTHON env var for custom Python path
- Use Windows py launcher to find compatible versions (3.9-3.12)
- Warn users when Python version may not be compatible with onnxruntime

Fixes issues where users couldn't install ccw-litellm due to:
- pip not in PATH
- Only pip3 available (not pip)
- Python 3.13+ without onnxruntime support

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-30 15:23:44 +08:00
catlog22
f6cc3736b2 feat(cli): support stdin input for issue creation and solution commands 2025-12-30 14:51:25 +08:00
catlog22
6e99cd97ca feat(docs): update Bash tool usage to enforce foreground execution for CLI calls 2025-12-30 14:28:32 +08:00
catlog22
f566b8aabc feat(cli): add --debug/-d flag for CLI debugging
- Add -d/--debug option to ccw cli command
- Enable debug logging at runtime when flag is set
- Change DEBUG check from const to function for runtime evaluation
- Support debug mode for both exec and status subcommands
- Update help text to include --debug option

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 23:26:48 +08:00
catlog22
6efc499c77 feat(cli): add detailed debug logging for CLI execution
- Add debugLog and errorLog utility functions with DEBUG env control
- Add logging for tool availability check (TOOL_CHECK)
- Add logging for command building (BUILD_CMD)
- Add logging for process spawn (SPAWN, STDIN)
- Add logging for process completion (CLOSE, STATUS)
- Enhance error output with command details, exit code, and stderr
- Add troubleshooting hints for common failures
- Support DEBUG=true or CCW_DEBUG=true environment variables

Closes #46

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 23:17:39 +08:00
catlog22
2c675ee4db chore: bump version to 6.3.14
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 22:57:02 +08:00
catlog22
f6dfe28e08 refactor(issue): rename 'labels' to 'tags' in issue schemas and related code 2025-12-29 22:55:33 +08:00
catlog22
e8e8746cc6 refactor(issue): update brief mode to use 'labels' instead of 'tags' in issue listing 2025-12-29 22:47:55 +08:00
catlog22
603bc00bca refactor(issue): enhance documentation and add core guidelines for data access 2025-12-29 22:41:10 +08:00
catlog22
ae76926d5a feat(queue): support solution-based queues and update metadata handling 2025-12-29 22:14:06 +08:00
catlog22
fd48045fe3 Refactor issue management and history tracking
- Removed the interactive issue management command and its associated documentation.
- Enhanced the issue planning command to streamline project context reading and solution creation.
- Improved queue management with conflict clarification and status syncing from queues.
- Added functionality to track completed issues, moving them to a history file upon completion.
- Updated CLI options to support syncing issue statuses from queues.
- Introduced new API endpoint for retrieving completed issues from history.
- Enhanced error handling and validation for issue updates and queue management.
2025-12-29 21:42:06 +08:00
catlog22
6ec6643448 refactor(issue-plan-agent): enhance conflict detection and execution flow 2025-12-29 20:36:56 +08:00
catlog22
945fda2d14 docs(issue): update agent/prompts to use CLI endpoints
- issue-plan-agent.md: Use `ccw issue solution` instead of Bash echo
- issue-plan.md (codex): Use `ccw issue solution` endpoint
- issue-queue.md (codex): Remove assigned_executor from schema

All solution creation now uses the dedicated CLI endpoint for:
- Auto-increment ID: SOL-{issue-id}-{seq}
- Proper JSONL format with trailing newline
- Multi-solution support per issue

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 20:28:39 +08:00
catlog22
7d71f603fe feat(issue): add solution endpoint with auto-increment ID
- Add `ccw issue solution <id> --data '{...}'` for solution creation
- Add createSolution() with proper JSONL handling (trailing newline)
- Fix writeSolutions() to always add trailing newline
- Update plan.md to use CLI endpoint

Supports multiple solutions per issue with sequential IDs.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 20:24:31 +08:00
catlog22
bd11a538a7 docs(issue/new): update Phase 5 to use ccw issue create endpoint
Replace manual Bash echo with CLI endpoint documentation:
- Auto-increment ID: ISS-YYYYMMDD-NNN
- Proper JSONL format with trailing newline
- JSON output with created issue

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 20:16:24 +08:00
catlog22
b9b4da6d8c feat(issue): add create endpoint with auto-increment ID
- Add `ccw issue create --data '{...}'` for programmatic issue creation
- Add generateIssueId() for auto-increment: ISS-YYYYMMDD-NNN
- Add createIssue() with proper JSONL handling (trailing newline)
- Fix writeIssues() to always add trailing newline

Fixes JSONL format corruption when appending via shell echo.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 20:12:57 +08:00
catlog22
70f8b14eaa refactor(vector_store): use safer SQL query construction pattern
Replaces f-string interpolation with safer string formatting.
Adds documentation on SQL injection prevention.
No functional changes - parameterized queries still used.

Fixes: ISS-1766921318981-9

Solution-ID: SOL-1735386000-9
Issue-ID: ISS-1766921318981-9
Task-ID: T1
2025-12-29 20:09:49 +08:00
catlog22
0c8b2f2ec9 fix(vector_store): add bounds checking for chunk ID generation
Prevents potential integer overflow when start_id is near sys.maxsize.
Adds validation before range() calculation in batch insert methods.

Fixes: ISS-1766921318981-6

Solution-ID: SOL-1735386000-6
Issue-ID: ISS-1766921318981-6
Task-ID: T1
2025-12-29 20:02:19 +08:00
catlog22
d532b3fd02 refactor(queue): streamline output requirements and storage structure documentation 2025-12-29 19:54:10 +08:00
catlog22
c56104c082 fix(vector_store): add null check for ANN search results before filtering
Prevents errors when HNSW search returns null/empty results due to race conditions.
Adds validation for ids and distances before zip operation.

Fixes: ISS-1766921318981-5

Solution-ID: SOL-1735386000-5
Issue-ID: ISS-1766921318981-5
Task-ID: T1
2025-12-29 19:53:32 +08:00
catlog22
66ae1972ae refactor(issue): remove assigned_executor from QueueItem interface
Queue is an execution plan without executor assignment.
Executor is determined at runtime by /issue:execute command.

Changes:
- Remove assigned_executor from QueueItem interface
- Remove from dag nodes, list display, execution_hints
- Simplify queue list output (remove Executor column)

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:49:25 +08:00
catlog22
7f4433e449 fix(vector_store): add parameter validation for min_score range
Validates min_score is within [0.0, 1.0] for cosine similarity.
Raises ValueError for out-of-range values to prevent unexpected filtering.

Fixes: ISS-1766921318981-14

Solution-ID: SOL-1735386000-14
Issue-ID: ISS-1766921318981-14
Task-ID: T1
2025-12-29 19:46:26 +08:00
catlog22
e1f2fc72d9 refactor(schema): remove assigned_executor from queue-schema
Queue produces execution plan without executor assignment.
Executor is determined at runtime by /issue:execute command.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:45:43 +08:00
catlog22
aa093f9468 refactor(issue/queue): remove assigned_executor field from schema
Executor assignment is not needed in solution schema - execution
context is determined at runtime.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:42:27 +08:00
catlog22
a27f76abcb refactor(issue/queue): simplify Phase 1 and Phase 5 with semantic descriptions
- Replace complex JavaScript code in Phase 1 with semantic bullet points
- Simplify Phase 5 validation code to semantic description
- Add Quality Checklist for completion verification
- Consistent style with plan.md optimizations

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:41:32 +08:00
catlog22
df34ef38d9 refactor(issue/plan): update semantic grouping limit to 4 issues per group and enhance conflict handling process 2025-12-29 19:38:45 +08:00
catlog22
60fbb4177c fix(config): add specific exception handling for path operations
Replaces generic Exception handling with specific PermissionError and OSError
handling in __post_init__ and ensure_runtime_dirs(). Provides clear diagnostic
messages to distinguish permission issues from other filesystem errors.

Solution-ID: SOL-1735385400008
Issue-ID: ISS-1766921318981-8
Task-ID: T1
2025-12-29 19:34:27 +08:00
catlog22
3289562be7 docs(issue/plan): add quality checklist for completion verification
Checklist items:
- Solution files exist for all issues
- Auto-binding for single solutions
- User selection for multi-solutions
- Tasks have modification_points
- Acceptance criteria quantified
- Conflicts detected
- Status updated to planned

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:32:19 +08:00
catlog22
73fc68a187 refactor(issue/plan): remove redundant file specs from command doc
Agent (issue-plan-agent.md) handles file generation.
Command doc should only describe input/output behavior.

Removed: Generate Files, Storage Structure, Completion Criteria
Kept: Command Output JSON format, Behavior summary

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:31:00 +08:00
catlog22
bce6fa7a91 refactor(issue/new): simplify clarification to open-ended prompt
Remove prescriptive options (Bug fix/New feature/Improvement)
that may interfere with natural issue description.

Now: single open-ended prompt for user to describe freely.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:28:03 +08:00
catlog22
88724a4df9 refactor(issue): simplify Issue schema and remove lifecycle_requirements
Schema changes:
- Remove lifecycle_requirements (deferred to plan agent)
- Remove solution_count (computed dynamically from solutions/*.jsonl)
- Keep context as single source of truth (remove problem_statement)
- Add feedback[] for failure history + human clarifications
- Add source, source_url, labels, expected/actual_behavior

Fields removed (unused downstream):
- lifecycle_requirements.test_strategy
- lifecycle_requirements.regression_scope
- lifecycle_requirements.acceptance_type
- lifecycle_requirements.commit_strategy
- solution_count (denormalized)

Fields added:
- feedback[]: { type, stage, content, created_at }
- source, source_url, labels
- expected_behavior, actual_behavior, affected_components

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:25:58 +08:00
catlog22
5914b1c5fc fix(vector-store): protect bulk insert mode transitions with lock
Ensure begin_bulk_insert() and end_bulk_insert() are fully
lock-protected to prevent TOCTOU race conditions.

Solution-ID: SOL-1735392000003
Issue-ID: ISS-1766921318981-12
Task-ID: T2
2025-12-29 19:20:02 +08:00
catlog22
d8be23fa83 fix(vector-store): add lock protection for bulk insert mode flag
Protect _bulk_insert_mode flag and accumulation lists with
_ann_write_lock to prevent corruption during concurrent access.

Solution-ID: SOL-1735392000003
Issue-ID: ISS-1766921318981-12
Task-ID: T1
2025-12-29 19:16:30 +08:00
catlog22
ffbc4a4b76 style(issue/new): use hybrid Phase + table flow diagram
Combines sequential Phase structure with inline table for branching:
- Phase 1-4 for overall flow clarity
- Table for Score 0/1-2/3 decision branching
- More compact and scannable than pure ASCII boxes

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:16:25 +08:00
catlog22
dd62a7ac13 refactor(issue/new): make ACE search conditional on clarity
- ACE only for medium clarity (score 1-2), skip for:
  - GitHub URLs (score 3): already has context
  - Vague inputs (score 0): needs clarification first
- Limit to quick search: max 3 keywords, max 3 files
- Non-blocking: ACE failure continues without hints
- Note: Deep exploration deferred to /issue:plan

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:14:13 +08:00
catlog22
3f29dfd4cf refactor(issue/new): simplify command with clarity-based flow
Key changes:
- Add Clarity Detection (score 0-3) to determine question needs
- Remove mandatory Lifecycle Configuration questions (auto-detect)
- Integrate ACE tool for smart context discovery
- Ask only 1 question for vague inputs (clarityScore < 2)
- Direct creation for clear inputs (GitHub URL, structured text)
- Reduce from 6 phases to streamlined flow

Decision flow:
- Score 3: GitHub URL → parse → create directly
- Score 2: Structured text → parse + ACE → create directly
- Score 0-1: Vague → ask clarification → confirm → create

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 19:10:49 +08:00
catlog22
3fdd52742b fix(storage): handle rollback failures in batch operations
Adds nested exception handling in add_files() and _migrate_fts_to_external()
to catch and log rollback failures. Uses exception chaining to preserve both
transaction and rollback errors, preventing silent database inconsistency.

Solution-ID: SOL-1735385400010
Issue-ID: ISS-1766921318981-10
Task-ID: T1
2025-12-29 19:08:49 +08:00
catlog22
76ab4d67fe test(entities): add zero vector validation tests
Add comprehensive test coverage for zero and near-zero vector
detection in SemanticChunk embedding validation.

Solution-ID: SOL-20251228113612
Issue-ID: ISS-1766921318981-7
Task-ID: T2
2025-12-29 19:03:20 +08:00
catlog22
c859af1abf fix(entities): validate embeddings are non-zero vectors
Add L2 norm check to SemanticChunk.validate_embedding to reject
zero vectors. Prevents division by zero in cosine similarity
calculations downstream in vector search.

Solution-ID: SOL-20251228113612
Issue-ID: ISS-1766921318981-7
Task-ID: T1
2025-12-29 19:01:27 +08:00
catlog22
6a73d3c379 fix(search): handle path operation failures in symbol filtering
Adds robust exception handling for os.path.commonpath() in search_symbols()
to prevent crashes on malformed paths and Windows cross-drive scenarios.
Invalid symbols are skipped with debug logging, search continues.

Solution-ID: SOL-1735385400004
Issue-ID: ISS-1766921318981-4
Task-ID: T1
2025-12-29 18:59:10 +08:00
catlog22
5d5652c2c5 fix(sqlite-store): improve thread tracking in connection cleanup
Add fallback validation to detect dead threads missed by
threading.enumerate(), ensuring all stale connections are cleaned.

Solution-ID: SOL-1735392000002
Issue-ID: ISS-1766921318981-3
Task-ID: T2
2025-12-29 18:50:22 +08:00
catlog22
b958a1ea96 fix(sqlite-store): add periodic cleanup timer for connection pool
Implement background timer to proactively clean stale connections
every 5 minutes, preventing indefinite accumulation.

Solution-ID: SOL-1735392000002
Issue-ID: ISS-1766921318981-3
Task-ID: T1
2025-12-29 18:43:55 +08:00
catlog22
bc385a32fd test(storage): add TypeScript storage manager concurrency tests
Solution-ID: SOL-1735410004
Issue-ID: ISS-1766921318981-24
Task-ID: T4
2025-12-29 18:38:46 +08:00
catlog22
9a45732a39 test(codex-lens): add connection pool stress tests
Solution-ID: SOL-1735410004
Issue-ID: ISS-1766921318981-24
Task-ID: T3
2025-12-29 18:16:03 +08:00
catlog22
015b46e58b test(codex-lens): add concurrent write operation tests
Solution-ID: SOL-1735410004
Issue-ID: ISS-1766921318981-24
Task-ID: T2
2025-12-29 18:12:09 +08:00
catlog22
042a99dbe3 test(codex-lens): add concurrent read operation tests
Solution-ID: SOL-1735410004

Issue-ID: ISS-1766921318981-24

Task-ID: T1
2025-12-29 17:59:08 +08:00
catlog22
99291053f5 test(cli-executor): add end-to-end orchestration validation tests
Solution-ID: SOL-1735410003

Issue-ID: ISS-1766921318981-23

Task-ID: T4
2025-12-29 17:50:33 +08:00
catlog22
99eeeff6f7 test(cli-executor): add qwen/codex and multi-tool workflow tests
Solution-ID: SOL-1735410003

Issue-ID: ISS-1766921318981-23

Task-ID: T3
2025-12-29 17:36:50 +08:00
catlog22
883b9f0672 refactor(issue): unify Solution ID format to SOL-{issue-id}-{seq}
- Replace timestamp-based ID generation with issue-id-based format
- generateSolutionId() now accepts issueId and existing solutions
- Automatically calculates next sequence number (SOL-GH-123-1, -2, -3)
- Update taskAction and bindAction to use new format
- Ensures consistency with agent-generated IDs

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 17:33:12 +08:00
catlog22
3c07e743e1 fix(issue-plan-agent): ensure shell safety by escaping single quotes in solution JSON 2025-12-29 17:30:19 +08:00
catlog22
823e1dc487 test(cli-executor): add gemini workflow integration tests
Solution-ID: SOL-1735410003

Issue-ID: ISS-1766921318981-23

Task-ID: T2
2025-12-29 17:29:48 +08:00
catlog22
3537c0fc74 test(cli-executor): enhance solution registration and binding process 2025-12-29 17:21:00 +08:00
catlog22
f3e23f0a57 test(cli-executor): add integration test infrastructure
Solution-ID: SOL-1735410003

Issue-ID: ISS-1766921318981-23

Task-ID: T1
2025-12-29 17:15:15 +08:00
catlog22
3df1eac2fc test(ci): add visual regression testing workflow
Solution-ID: SOL-1735410002

Issue-ID: ISS-1766921318981-22

Task-ID: T4
2025-12-29 16:42:31 +08:00
catlog22
141472117d test(ui-tools): add visual regression tests for prototype instantiation
Solution-ID: SOL-1735410002

Issue-ID: ISS-1766921318981-22

Task-ID: T3
2025-12-29 16:37:10 +08:00
catlog22
e2dbeca080 test(ui-tools): add visual regression tests for preview generation
Solution-ID: SOL-1735410002

Issue-ID: ISS-1766921318981-22

Task-ID: T2
2025-12-29 16:15:12 +08:00
catlog22
70063f4045 test(ui-tools): add visual regression testing infrastructure
Solution-ID: SOL-1735410002
Issue-ID: ISS-1766921318981-22
Task-ID: T1
2025-12-29 15:47:08 +08:00
catlog22
8578d2d426 test(litellm): add integration tests for retry and rate limiting
Solution-ID: SOL-1735410001

Issue-ID: ISS-1766921318981-21

Task-ID: T3
2025-12-29 15:14:03 +08:00
catlog22
5d31bfd9fa test(litellm): add executor error scenario and validation tests
Solution-ID: SOL-1735410001

Issue-ID: ISS-1766921318981-21

Task-ID: T2
2025-12-29 13:28:11 +08:00
catlog22
c7291ba532 test(litellm): add comprehensive error scenario tests for client
Solution-ID: SOL-1735410001

Issue-ID: ISS-1766921318981-21

Task-ID: T1
2025-12-29 13:13:33 +08:00
catlog22
1396010437 fix(embedder): add lock protection for cache read operations
Protect fast path cache read in get_embedder() to prevent KeyError

during concurrent access and cache clearing operations.

Solution-ID: SOL-1735392000001

Issue-ID: ISS-1766921318981-2

Task-ID: T1
2025-12-29 12:33:23 +08:00
catlog22
1654b121bc test(routes): add integration tests for CodexLens and discovery routes
Solution-ID: SOL-1735386000005

Issue-ID: ISS-1766921318981-19

Task-ID: T4
2025-12-29 12:22:09 +08:00
catlog22
d5130fc4da test(routes): add integration tests for session and core-memory routes
Solution-ID: SOL-1735386000005

Issue-ID: ISS-1766921318981-19

Task-ID: T3
2025-12-29 11:58:00 +08:00
catlog22
c4f3afd8eb chore: bump version to 6.3.12
- Refactor issue workflow with unified solution ID format (SOL-{issue-id}-{seq})
- Add follow-up questions to issue creation flow
- Fix JSONL append newline handling
- Align conflicts format in plan.md with agent output

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 11:53:12 +08:00
catlog22
fb2f80ee3a fix(issue/plan): align conflicts format and add missing helper function
- Update Return Summary conflicts format to match Phase 3 processing requirements
- Add extractSelectedSolutionId helper function for solution selection

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 11:48:47 +08:00
catlog22
dda6af130c refactor(issue): unify solution ID format to SOL-{issue-id}-{seq}
- Update solution-schema.json pattern to support new format
- Add Solution ID Format specification to plan.md
- Fix JSON parsing with extractJsonFromMarkdown + try-catch
- Update all examples in agent and prompt files:
  - issue-plan-agent.md
  - issue-queue-agent.md
  - issue-execute.md
  - issue-queue.md
  - queue.md

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 11:45:31 +08:00
catlog22
0d82c9fa03 refactor(issue): simplify extended_context and add follow-up questions
- Replace discovery_context with minimal extended_context (3 fields: location, suggested_fix, notes)
- Add Phase 4.5: intelligent follow-up questions for missing issue fields
- Fix JSONL append to ensure proper newline handling
- Update schema and plan.md to use new extended_context structure

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-29 11:33:59 +08:00
catlog22
7c389d5028 test(routes): add integration tests for CLI and memory routes
Solution-ID: SOL-1735386000005

Issue-ID: ISS-1766921318981-19

Task-ID: T2
2025-12-29 10:51:57 +08:00
catlog22
d5704f8344 test(routes): add integration tests for status and system routes
Solution-ID: SOL-1735386000005

Issue-ID: ISS-1766921318981-19

Task-ID: T1
2025-12-29 10:27:20 +08:00
catlog22
ec4018a930 test(embedding-batch): add tests for batch embedding operations
Solution-ID: SOL-1735386000004

Issue-ID: ISS-1766921318981-18

Task-ID: T4
2025-12-29 10:11:27 +08:00
catlog22
673cb03a2e test(semantic-search): add integration tests for semantic search workflow
Solution-ID: SOL-1735386000004

Issue-ID: ISS-1766921318981-18

Task-ID: T3
2025-12-29 09:59:26 +08:00
catlog22
4d7bf5b245 test(embedding-client): add unit tests for embedding generation
Solution-ID: SOL-1735386000004

Issue-ID: ISS-1766921318981-18

Task-ID: T2
2025-12-29 09:50:30 +08:00
catlog22
267426e332 test(core-memory-store): add unit tests for memory store operations
Solution-ID: SOL-1735386000004

Issue-ID: ISS-1766921318981-18

Task-ID: T1
2025-12-29 09:42:01 +08:00
catlog22
d68401fa1a test(core-memory-store): add assertion for missing memory retrieval 2025-12-29 09:35:52 +08:00
catlog22
eb4ba89693 feat(issue-plan): enhance conflict detection and resolution process with semantic grouping and user clarifications 2025-12-29 09:26:57 +08:00
catlog22
ef3b6b9f6e test(session-clustering): add integration tests for session clustering
Solution-ID: SOL-1735386000003

Issue-ID: ISS-1766921318981-17

Task-ID: T4
2025-12-29 09:03:50 +08:00
catlog22
2d1be7cd4f test(session-archive): add integration tests for archiving and cleanup
Solution-ID: SOL-1735386000003

Issue-ID: ISS-1766921318981-17

Task-ID: T3
2025-12-29 08:50:32 +08:00
catlog22
bf0a2bde34 test(session-content): add integration tests for session CRUD operations
Solution-ID: SOL-1735386000003

Issue-ID: ISS-1766921318981-17

Task-ID: T2
2025-12-29 08:44:09 +08:00
catlog22
d85ab2a12c test(session-lifecycle): add integration tests for session creation
Solution-ID: SOL-1735386000003

Issue-ID: ISS-1766921318981-17

Task-ID: T1
2025-12-29 08:39:32 +08:00
catlog22
33a2bdb9f0 test(browser-launcher): add cross-platform browser launch tests
Solution-ID: SOL-1735386000002

Issue-ID: ISS-1766921318981-16

Task-ID: T4
2025-12-29 00:19:37 +08:00
catlog22
11a7dcb6c8 test(file-utils): add unit tests for file operations
Solution-ID: SOL-1735386000002

Issue-ID: ISS-1766921318981-16

Task-ID: T3
2025-12-29 00:11:57 +08:00
catlog22
d8e389df00 test(path-validator): add unit tests for path security validation
Solution-ID: SOL-1735386000002

Issue-ID: ISS-1766921318981-16

Task-ID: T2
2025-12-29 00:09:33 +08:00
catlog22
203b51527b test(path-resolver): add unit tests for path resolution and validation
Solution-ID: SOL-1735386000002

Issue-ID: ISS-1766921318981-16

Task-ID: T1
2025-12-29 00:05:52 +08:00
catlog22
bf05886770 fix(queue): streamline validation and status update logic in queue processing 2025-12-28 23:47:26 +08:00
catlog22
079ecdad3e test(commands): add unit tests for session and server commands
Solution-ID: SOL-1735386000001

Issue-ID: ISS-1766921318981-15

Task-ID: T4
2025-12-28 23:47:13 +08:00
catlog22
075a8357cd test(core-memory-command): add unit tests for core memory module
Solution-ID: SOL-1735386000001

Issue-ID: ISS-1766921318981-15

Task-ID: T3
2025-12-28 23:08:54 +08:00
catlog22
c99ad377c6 test(memory-command): add unit tests for memory module
Solution-ID: SOL-1735386000001

Issue-ID: ISS-1766921318981-15

Task-ID: T2
2025-12-28 23:01:40 +08:00
catlog22
382d330525 fix(issue): improve queue archiving logic to handle empty tasks and solutions 2025-12-28 22:56:51 +08:00
catlog22
e2f4241b2e feat(cli-stream): add search functionality and improve validation in CLI Stream Viewer 2025-12-28 22:52:32 +08:00
catlog22
32cea006b9 Add initial implementation of the Docsify shell template for interactive software manuals 2025-12-28 22:46:43 +08:00
catlog22
6ffac8810b test(cli-command): add unit tests for CLI command executor
Solution-ID: SOL-1735386000001

Issue-ID: ISS-1766921318981-15

Task-ID: T1
2025-12-28 22:44:47 +08:00
catlog22
84d06f4273 fix(registry): normalize path case for comparison on Windows
Adds case normalization for path comparison on Windows to handle
case-insensitive filesystem behavior. Preserves case-sensitivity on Unix.

Fixes: ISS-1766921318981-13

Solution-ID: SOL-1735386000-13
Issue-ID: ISS-1766921318981-13
Task-ID: T1
2025-12-28 21:51:23 +08:00
catlog22
18cc536f65 refactor(vector-store): use consistent EPSILON constant
Define module-level EPSILON constant and use it in both
_cosine_similarity and _refresh_cache for consistent
floating point precision handling.

Solution-ID: SOL-20251228113619
Issue-ID: ISS-1766921318981-11
Task-ID: T3
2025-12-28 21:40:46 +08:00
catlog22
af2ff54cb7 test(vector-store): add epsilon tolerance edge case tests
Add comprehensive test coverage for near-zero norms, product
underflow, and floating point precision edge cases in
_cosine_similarity function.

Solution-ID: SOL-20251228113619
Issue-ID: ISS-1766921318981-11
Task-ID: T2
2025-12-28 21:37:59 +08:00
catlog22
6486c56850 fix(vector-store): add epsilon tolerance for norm checks
Replace exact zero comparison with epsilon-based check (< 1e-10)
in _cosine_similarity to handle floating point precision issues.
Also check for product underflow to prevent inf/nan from division
by very small numbers.

Solution-ID: SOL-20251228113619
Issue-ID: ISS-1766921318981-11
Task-ID: T1
2025-12-28 21:11:30 +08:00
catlog22
93dcdd2293 fix(config): log configuration loading errors instead of silently ignoring
Replaces bare exception handler in load_settings() with logging.warning()
to help users debug configuration file issues (syntax errors, permissions).
Maintains backward compatibility - errors do not break initialization.

Solution-ID: SOL-1735385400001
Issue-ID: ISS-1766921318981-1
Task-ID: T1
2025-12-28 21:06:23 +08:00
catlog22
58caccb250 test(ranking): add edge case tests for normalize_weights
Add comprehensive test coverage for NaN, infinity, and all-None
edge cases in weight normalization to prevent regression.

Solution-ID: SOL-20251228113631
Issue-ID: ISS-1766921318981-0
Task-ID: T2
2025-12-28 20:59:08 +08:00
catlog22
598eed92cb fix(ranking): add explicit NaN check in normalize_weights
Add math.isnan() check before math.isfinite() to properly catch
NaN values in weight totals. Prevents division by NaN which could
produce unexpected results in RRF fusion calculations.

Solution-ID: SOL-20251228113631
Issue-ID: ISS-1766921318981-0
Task-ID: T1
2025-12-28 20:55:03 +08:00
catlog22
d3e7ecca21 feat: 添加任务跟踪功能,初始化待办事项列表并更新任务状态 2025-12-28 20:50:24 +08:00
catlog22
847abcefce feat: 添加选项以标记任务为失败 2025-12-28 20:45:05 +08:00
catlog22
c24ad501b5 feat: 更新问题执行和队列生成逻辑,支持解决方案格式并增强元数据管理 2025-12-28 20:35:29 +08:00
catlog22
35c7fe28bb feat: 更新队列生成逻辑,使用提供的队列ID并严格限制输出文件 2025-12-28 20:20:13 +08:00
catlog22
a33cacfd75 feat: 添加更新命令以修改问题字段(状态、优先级、标题等) 2025-12-28 20:14:31 +08:00
catlog22
338c3d612c feat: 更新问题规划和队列命令,增强解决方案注册和用户选择逻辑 2025-12-28 19:58:44 +08:00
catlog22
8b17fad723 feat(discovery): enhance discovery progress reading with new schema support 2025-12-28 19:33:17 +08:00
catlog22
169f218f7a feat(discovery): enhance discovery index reading and issue exporting
- Improved the reading of the discovery index by adding a fallback mechanism to scan directories for discovery folders if the index.json is invalid or missing.
- Added sorting of discoveries by creation time in descending order.
- Enhanced the `appendToIssuesJsonl` function to include deduplication logic for issues based on ID and source finding ID.
- Updated the discovery route handler to reflect the number of issues added and skipped during export.
- Introduced UI elements for selecting and deselecting findings in the dashboard.
- Added CSS styles for exported findings and action buttons.
- Implemented search functionality for filtering findings based on title, file, and description.
- Added internationalization support for new UI elements.
- Created scripts for automated API extraction from various project types, including FastAPI and TypeScript.
- Documented the API extraction process and library bundling instructions.
2025-12-28 19:27:34 +08:00
catlog22
3ef1e54412 feat: 更新软件手册,优化截图捕获流程和规则说明 2025-12-28 18:19:39 +08:00
catlog22
4419c50942 feat: enhance internationalization support and improve GPU mode selector with Python environment checks 2025-12-28 17:49:40 +08:00
catlog22
7aa1cda367 feat: add issue discovery view for managing discovery sessions and findings
- Implemented main render function for the issue discovery view.
- Added data loading functions to fetch discoveries, details, findings, and progress.
- Created rendering functions for discovery list and detail sections.
- Introduced filtering and searching capabilities for findings.
- Implemented actions for exporting and dismissing findings.
- Added polling mechanism to track discovery progress.
- Included utility functions for HTML escaping and cleanup.
2025-12-28 17:21:07 +08:00
catlog22
a2c88ba885 feat: Add project guidelines support and enhance project overview rendering 2025-12-28 14:50:50 +08:00
catlog22
e16950ef1e refactor: Remove unused context-tools-ace.md and clean up CLI status management 2025-12-28 14:09:51 +08:00
catlog22
5b973b00ea feat(issue): Enhance queue management with solution-level granularity and improved item identification 2025-12-28 13:58:43 +08:00
catlog22
3a1ebf8684 refactor(issue): Simplify issue and task structures by removing unused fields 2025-12-28 13:39:52 +08:00
catlog22
2eaefb61ab feat: Enhance issue management to support solution-level queues
- Added support for solution-level queues in the issue management system.
- Updated interfaces to include solution-specific properties such as `approach`, `task_count`, and `files_touched`.
- Modified queue handling to differentiate between task-level and solution-level items.
- Adjusted rendering logic in the dashboard to display solutions and their associated tasks correctly.
- Enhanced queue statistics and conflict resolution to accommodate the new solution structure.
- Updated actions (next, done, retry) to handle both tasks and solutions seamlessly.
2025-12-28 13:21:34 +08:00
catlog22
4c6b28030f Enhance project management workflow by introducing dual file system for project guidelines and tech analysis
- Updated workflow initialization to create `.workflow/project-tech.json` and `.workflow/project-guidelines.json` for comprehensive project understanding.
- Added mandatory context reading steps in various commands to ensure compliance with user-defined constraints and technology stack.
- Implemented a new command `/workflow:session:solidify` to capture session learnings and solidify them into project guidelines.
- Introduced a detail action in issue management to retrieve task details without altering status.
- Enhanced documentation across multiple workflow commands to reflect changes in project structure and guidelines.
2025-12-28 12:47:39 +08:00
catlog22
2c42cefa5a feat(issue): add DAG support for parallel execution planning and enhance task fetching 2025-12-28 12:04:10 +08:00
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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"。

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

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

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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

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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)

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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

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-09 22:32:39 +08:00
997 changed files with 305014 additions and 67366 deletions

41
.claude/CLAUDE.md Normal file
View File

@@ -0,0 +1,41 @@
# Claude Instructions
- **Coding Philosophy**: @~/.claude/workflows/coding-philosophy.md
## CLI Endpoints
- **CLI Tools Usage**: @~/.claude/workflows/cli-tools-usage.md
- **CLI Endpoints Config**: @~/.claude/cli-tools.json
**Strictly follow the 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
- **Context Requirements**: @~/.claude/workflows/context-tools.md
- **File Modification**: @~/.claude/workflows/file-modification.md
### 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)
- **Default: `run_in_background: true`** - Unless otherwise specified, always use background execution for CLI calls:
```
Bash({ command: "ccw cli -p '...' --tool gemini", run_in_background: true })
```
- **After CLI call**: Stop immediately - let CLI execute in background
### CLI Analysis Calls
- **Wait for results**: MUST wait for CLI analysis to complete before taking any write action. Do NOT proceed with fixes while analysis is running
- **Value every call**: Each CLI invocation is valuable and costly. NEVER waste analysis results:
- Aggregate multiple analysis results before proposing solutions
## 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"
}

View File

@@ -203,7 +203,13 @@ Generate individual `.task/IMPL-*.json` files with the following structure:
"id": "IMPL-N",
"title": "Descriptive task name",
"status": "pending|active|completed|blocked",
"context_package_path": ".workflow/active/WFS-{session}/.process/context-package.json"
"context_package_path": ".workflow/active/WFS-{session}/.process/context-package.json",
"cli_execution_id": "WFS-{session}-IMPL-N",
"cli_execution": {
"strategy": "new|resume|fork|merge_fork",
"resume_from": "parent-cli-id",
"merge_from": ["id1", "id2"]
}
}
```
@@ -216,6 +222,50 @@ Generate individual `.task/IMPL-*.json` files with the following structure:
- `title`: Descriptive task name summarizing the work
- `status`: Task state - `pending` (not started), `active` (in progress), `completed` (done), `blocked` (waiting on dependencies)
- `context_package_path`: Path to smart context package containing project structure, dependencies, and brainstorming artifacts catalog
- `cli_execution_id`: Unique CLI conversation ID (format: `{session_id}-{task_id}`)
- `cli_execution`: CLI execution strategy based on task dependencies
- `strategy`: Execution pattern (`new`, `resume`, `fork`, `merge_fork`)
- `resume_from`: Parent task's cli_execution_id (for resume/fork)
- `merge_from`: Array of parent cli_execution_ids (for merge_fork)
**CLI Execution Strategy Rules** (MANDATORY - apply to all tasks):
| Dependency Pattern | Strategy | CLI Command Pattern |
|--------------------|----------|---------------------|
| No `depends_on` | `new` | `--id {cli_execution_id}` |
| 1 parent, parent has 1 child | `resume` | `--resume {resume_from}` |
| 1 parent, parent has N children | `fork` | `--resume {resume_from} --id {cli_execution_id}` |
| N parents | `merge_fork` | `--resume {merge_from.join(',')} --id {cli_execution_id}` |
**Strategy Selection Algorithm**:
```javascript
function computeCliStrategy(task, allTasks) {
const deps = task.context?.depends_on || []
const childCount = allTasks.filter(t =>
t.context?.depends_on?.includes(task.id)
).length
if (deps.length === 0) {
return { strategy: "new" }
} else if (deps.length === 1) {
const parentTask = allTasks.find(t => t.id === deps[0])
const parentChildCount = allTasks.filter(t =>
t.context?.depends_on?.includes(deps[0])
).length
if (parentChildCount === 1) {
return { strategy: "resume", resume_from: parentTask.cli_execution_id }
} else {
return { strategy: "fork", resume_from: parentTask.cli_execution_id }
}
} else {
const mergeFrom = deps.map(depId =>
allTasks.find(t => t.id === depId).cli_execution_id
)
return { strategy: "merge_fork", merge_from: mergeFrom }
}
}
```
#### Meta Object
@@ -225,7 +275,13 @@ Generate individual `.task/IMPL-*.json` files with the following structure:
"type": "feature|bugfix|refactor|test-gen|test-fix|docs",
"agent": "@code-developer|@action-planning-agent|@test-fix-agent|@universal-executor",
"execution_group": "parallel-abc123|null",
"module": "frontend|backend|shared|null"
"module": "frontend|backend|shared|null",
"execution_config": {
"method": "agent|hybrid|cli",
"cli_tool": "codex|gemini|qwen|auto",
"enable_resume": true,
"previous_cli_id": "string|null"
}
}
}
```
@@ -235,6 +291,33 @@ Generate individual `.task/IMPL-*.json` files with the following structure:
- `agent`: Assigned agent for execution
- `execution_group`: Parallelization group ID (tasks with same ID can run concurrently) or `null` for sequential tasks
- `module`: Module identifier for multi-module projects (e.g., `frontend`, `backend`, `shared`) or `null` for single-module
- `execution_config`: CLI execution settings (MUST align with userConfig from task-generate-agent)
- `method`: Execution method - `agent` (direct), `hybrid` (agent + CLI), `cli` (CLI only)
- `cli_tool`: Preferred CLI tool - `codex`, `gemini`, `qwen`, `auto`, or `null` (for agent-only)
- `enable_resume`: Whether to use `--resume` for CLI continuity (default: true)
- `previous_cli_id`: Previous task's CLI execution ID for resume (populated at runtime)
**execution_config Alignment Rules** (MANDATORY):
```
userConfig.executionMethod → meta.execution_config + implementation_approach
"agent" →
meta.execution_config = { method: "agent", cli_tool: null, enable_resume: false }
implementation_approach steps: NO command field (agent direct execution)
"hybrid" →
meta.execution_config = { method: "hybrid", cli_tool: userConfig.preferredCliTool }
implementation_approach steps: command field ONLY on complex steps
"cli" →
meta.execution_config = { method: "cli", cli_tool: userConfig.preferredCliTool }
implementation_approach steps: command field on ALL steps
```
**Consistency Check**: `meta.execution_config.method` MUST match presence of `command` fields:
- `method: "agent"` → 0 steps have command field
- `method: "hybrid"` → some steps have command field
- `method: "cli"` → all steps have command field
**Test Task Extensions** (for type="test-gen" or type="test-fix"):
@@ -409,14 +492,14 @@ Generate individual `.task/IMPL-*.json` files with the following structure:
// Pattern: Gemini CLI deep analysis
{
"step": "gemini_analyze_[aspect]",
"command": "bash(cd [path] && gemini -p 'PURPOSE: [goal]\\nTASK: [tasks]\\nMODE: analysis\\nCONTEXT: @[paths]\\nEXPECTED: [output]\\nRULES: $(cat [template]) | [constraints] | analysis=READ-ONLY')",
"command": "ccw cli -p 'PURPOSE: [goal]\\nTASK: [tasks]\\nMODE: analysis\\nCONTEXT: @[paths]\\nEXPECTED: [output]\\nRULES: $(cat [template]) | [constraints] | analysis=READ-ONLY' --tool gemini --mode analysis --cd [path]",
"output_to": "analysis_result"
},
// Pattern: Qwen CLI analysis (fallback/alternative)
{
"step": "qwen_analyze_[aspect]",
"command": "bash(cd [path] && qwen -p '[similar to gemini pattern]')",
"command": "ccw cli -p '[similar to gemini pattern]' --tool qwen --mode analysis --cd [path]",
"output_to": "analysis_result"
},
@@ -457,7 +540,7 @@ The examples above demonstrate **patterns**, not fixed requirements. Agent MUST:
4. **Command Composition Patterns**:
- **Single command**: `bash([simple_search])`
- **Multiple commands**: `["bash([cmd1])", "bash([cmd2])"]`
- **CLI analysis**: `bash(cd [path] && gemini -p '[prompt]')`
- **CLI analysis**: `ccw cli -p '[prompt]' --tool gemini --mode analysis --cd [path]`
- **MCP integration**: `mcp__[tool]__[function]([params])`
**Key Principle**: Examples show **structure patterns**, not specific implementations. Agent must create task-appropriate steps dynamically.
@@ -479,11 +562,12 @@ The `implementation_approach` supports **two execution modes** based on the pres
- Specified command executes the step directly
- Leverages specialized CLI tools (codex/gemini/qwen) for complex reasoning
- **Use for**: Large-scale features, complex refactoring, or when user explicitly requests CLI tool usage
- **Required fields**: Same as default mode **PLUS** `command`
- **Command patterns**:
- `bash(codex -C [path] --full-auto exec '[prompt]' --skip-git-repo-check -s danger-full-access)`
- `bash(codex --full-auto exec '[task]' resume --last --skip-git-repo-check -s danger-full-access)` (multi-step)
- `bash(cd [path] && gemini -p '[prompt]' --approval-mode yolo)` (write mode)
- **Required fields**: Same as default mode **PLUS** `command`, `resume_from` (optional)
- **Command patterns** (with resume support):
- `ccw cli -p '[prompt]' --tool codex --mode write --cd [path]`
- `ccw cli -p '[prompt]' --resume ${previousCliId} --tool codex --mode write` (resume from previous)
- `ccw cli -p '[prompt]' --tool gemini --mode write --cd [path]` (write mode)
- **Resume mechanism**: When step depends on previous CLI execution, include `--resume` with previous execution ID
**Semantic CLI Tool Selection**:
@@ -500,12 +584,12 @@ Agent determines CLI tool usage per-step based on user semantics and task nature
**Task-Based Selection** (when no explicit user preference):
- **Implementation/coding**: Codex preferred for autonomous development
- **Analysis/exploration**: Gemini preferred for large context analysis
- **Documentation**: Gemini/Qwen with write mode (`--approval-mode yolo`)
- **Documentation**: Gemini/Qwen with write mode (`--mode write`)
- **Testing**: Depends on complexity - simple=agent, complex=Codex
**Default Behavior**: Agent always executes the workflow. CLI commands are embedded in `implementation_approach` steps:
- Agent orchestrates task execution
- When step has `command` field, agent executes it via Bash
- When step has `command` field, agent executes it via CCW CLI
- When step has no `command` field, agent implements directly
- This maintains agent control while leveraging CLI tool power
@@ -559,11 +643,26 @@ Agent determines CLI tool usage per-step based on user semantics and task nature
"step": 3,
"title": "Execute implementation using CLI tool",
"description": "Use Codex/Gemini for complex autonomous execution",
"command": "bash(codex -C [path] --full-auto exec '[prompt]' --skip-git-repo-check -s danger-full-access)",
"command": "ccw cli -p '[prompt]' --tool codex --mode write --cd [path]",
"modification_points": ["[Same as default mode]"],
"logic_flow": ["[Same as default mode]"],
"depends_on": [1, 2],
"output": "cli_implementation"
"output": "cli_implementation",
"cli_output_id": "step3_cli_id" // Store execution ID for resume
},
// === CLI MODE with Resume: Continue from previous CLI execution ===
{
"step": 4,
"title": "Continue implementation with context",
"description": "Resume from previous step with accumulated context",
"command": "ccw cli -p '[continuation prompt]' --resume ${step3_cli_id} --tool codex --mode write",
"resume_from": "step3_cli_id", // Reference previous step's CLI ID
"modification_points": ["[Continue from step 3]"],
"logic_flow": ["[Build on previous output]"],
"depends_on": [3],
"output": "continued_implementation",
"cli_output_id": "step4_cli_id"
}
]
```
@@ -681,6 +780,8 @@ Generate at `.workflow/active/{session_id}/TODO_LIST.md`:
### 2.4 Complexity & Structure Selection
**Task Division Strategy**: Minimize task count while avoiding single-task overload. Group similar tasks to share context; subdivide only when exceeding 3-5 modification areas.
Use `analysis_results.complexity` or task count to determine structure:
**Single Module Mode**:
@@ -754,11 +855,14 @@ Use `analysis_results.complexity` or task count to determine structure:
### 3.3 Guidelines Checklist
**ALWAYS:**
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- Apply Quantification Requirements to all requirements, acceptance criteria, and modification points
- Load IMPL_PLAN template: `Read(~/.claude/workflows/cli-templates/prompts/workflow/impl-plan-template.txt)` before generating IMPL_PLAN.md
- Use provided context package: Extract all information from structured context
- Respect memory-first rule: Use provided content (already loaded from memory/file)
- Follow 6-field schema: All task JSONs must have id, title, status, context_package_path, meta, context, flow_control
- **Assign CLI execution IDs**: Every task MUST have `cli_execution_id` (format: `{session_id}-{task_id}`)
- **Compute CLI execution strategy**: Based on `depends_on`, set `cli_execution.strategy` (new/resume/fork/merge_fork)
- Map artifacts: Use artifacts_inventory to populate task.context.artifacts array
- Add MCP integration: Include MCP tool steps in flow_control.pre_analysis when capabilities available
- Validate task count: Maximum 12 tasks hard limit, request re-scope if exceeded
@@ -768,6 +872,9 @@ Use `analysis_results.complexity` or task count to determine structure:
- Apply 举一反三 principle: Adapt pre-analysis patterns to task-specific needs dynamically
- Follow template validation: Complete IMPL_PLAN.md template validation checklist before finalization
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**NEVER:**
- Load files directly (use provided context package instead)
- Assume default locations (always use session_id in paths)

View File

@@ -0,0 +1,391 @@
---
name: cli-discuss-agent
description: |
Multi-CLI collaborative discussion agent with cross-verification and solution synthesis.
Orchestrates 5-phase workflow: Context Prep → CLI Execution → Cross-Verify → Synthesize → Output
color: magenta
allowed-tools: mcp__ace-tool__search_context(*), Bash(*), Read(*), Write(*), Glob(*), Grep(*)
---
You are a specialized CLI discussion agent that orchestrates multiple CLI tools to analyze tasks, cross-verify findings, and synthesize structured solutions.
## Core Capabilities
1. **Multi-CLI Orchestration** - Invoke Gemini, Codex, Qwen for diverse perspectives
2. **Cross-Verification** - Compare findings, identify agreements/disagreements
3. **Solution Synthesis** - Merge approaches, score and rank by consensus
4. **Context Enrichment** - ACE semantic search for supplementary context
**Discussion Modes**:
- `initial` → First round, establish baseline analysis (parallel execution)
- `iterative` → Build on previous rounds with user feedback (parallel + resume)
- `verification` → Cross-verify specific approaches (serial execution)
---
## 5-Phase Execution Workflow
```
Phase 1: Context Preparation
↓ Parse input, enrich with ACE if needed, create round folder
Phase 2: Multi-CLI Execution
↓ Build prompts, execute CLIs with fallback chain, parse outputs
Phase 3: Cross-Verification
↓ Compare findings, identify agreements/disagreements, resolve conflicts
Phase 4: Solution Synthesis
↓ Extract approaches, merge similar, score and rank top 3
Phase 5: Output Generation
↓ Calculate convergence, generate questions, write synthesis.json
```
---
## Input Schema
**From orchestrator** (may be JSON strings):
- `task_description` - User's task or requirement
- `round_number` - Current discussion round (1, 2, 3...)
- `session` - `{ id, folder }` for output paths
- `ace_context` - `{ relevant_files[], detected_patterns[], architecture_insights }`
- `previous_rounds` - Array of prior SynthesisResult (optional)
- `user_feedback` - User's feedback from last round (optional)
- `cli_config` - `{ tools[], timeout, fallback_chain[], mode }` (optional)
- `tools`: Default `['gemini', 'codex']` or `['gemini', 'codex', 'claude']`
- `fallback_chain`: Default `['gemini', 'codex', 'claude']`
- `mode`: `'parallel'` (default) or `'serial'`
---
## Output Schema
**Output Path**: `{session.folder}/rounds/{round_number}/synthesis.json`
```json
{
"round": 1,
"solutions": [
{
"name": "Solution Name",
"source_cli": ["gemini", "codex"],
"feasibility": 0.85,
"effort": "low|medium|high",
"risk": "low|medium|high",
"summary": "Brief analysis summary",
"implementation_plan": {
"approach": "High-level technical approach",
"tasks": [
{
"id": "T1",
"name": "Task name",
"depends_on": [],
"files": [{"file": "path", "line": 10, "action": "modify|create|delete"}],
"key_point": "Critical consideration for this task"
},
{
"id": "T2",
"name": "Second task",
"depends_on": ["T1"],
"files": [{"file": "path2", "line": 1, "action": "create"}],
"key_point": null
}
],
"execution_flow": "T1 → T2 → T3 (T2,T3 can parallel after T1)",
"milestones": ["Interface defined", "Core logic complete", "Tests passing"]
},
"dependencies": {
"internal": ["@/lib/module"],
"external": ["npm:package@version"]
},
"technical_concerns": ["Potential blocker 1", "Risk area 2"]
}
],
"convergence": {
"score": 0.75,
"new_insights": true,
"recommendation": "converged|continue|user_input_needed"
},
"cross_verification": {
"agreements": ["point 1"],
"disagreements": ["point 2"],
"resolution": "how resolved"
},
"clarification_questions": ["question 1?"]
}
```
**Schema Fields**:
| Field | Purpose |
|-------|---------|
| `feasibility` | Quantitative viability score (0-1) |
| `summary` | Narrative analysis summary |
| `implementation_plan.approach` | High-level technical strategy |
| `implementation_plan.tasks[]` | Discrete implementation tasks |
| `implementation_plan.tasks[].depends_on` | Task dependencies (IDs) |
| `implementation_plan.tasks[].key_point` | Critical consideration for task |
| `implementation_plan.execution_flow` | Visual task sequence |
| `implementation_plan.milestones` | Key checkpoints |
| `technical_concerns` | Specific risks/blockers |
**Note**: Solutions ranked by internal scoring (array order = priority). `pros/cons` merged into `summary` and `technical_concerns`.
---
## Phase 1: Context Preparation
**Parse input** (handle JSON strings from orchestrator):
```javascript
const ace_context = typeof input.ace_context === 'string'
? JSON.parse(input.ace_context) : input.ace_context || {}
const previous_rounds = typeof input.previous_rounds === 'string'
? JSON.parse(input.previous_rounds) : input.previous_rounds || []
```
**ACE Supplementary Search** (when needed):
```javascript
// Trigger conditions:
// - Round > 1 AND relevant_files < 5
// - Previous solutions reference unlisted files
if (shouldSupplement) {
mcp__ace-tool__search_context({
project_root_path: process.cwd(),
query: `Implementation patterns for ${task_keywords}`
})
}
```
**Create round folder**:
```bash
mkdir -p {session.folder}/rounds/{round_number}
```
---
## Phase 2: Multi-CLI Execution
### Available CLI Tools
三方 CLI 工具:
- **gemini** - Google Gemini (deep code analysis perspective)
- **codex** - OpenAI Codex (implementation verification perspective)
- **claude** - Anthropic Claude (architectural analysis perspective)
### Execution Modes
**Parallel Mode** (default, faster):
```
┌─ gemini ─┐
│ ├─→ merge results → cross-verify
└─ codex ──┘
```
- Execute multiple CLIs simultaneously
- Merge outputs after all complete
- Use when: time-sensitive, independent analysis needed
**Serial Mode** (for cross-verification):
```
gemini → (output) → codex → (verify) → claude
```
- Each CLI receives prior CLI's output
- Explicit verification chain
- Use when: deep verification required, controversial solutions
**Mode Selection**:
```javascript
const execution_mode = cli_config.mode || 'parallel'
// parallel: Promise.all([cli1, cli2, cli3])
// serial: await cli1 → await cli2(cli1.output) → await cli3(cli2.output)
```
### CLI Prompt Template
```bash
ccw cli -p "
PURPOSE: Analyze task from {perspective} perspective, verify technical feasibility
TASK:
• Analyze: \"{task_description}\"
• Examine codebase patterns and architecture
• Identify implementation approaches with trade-offs
• Provide file:line references for integration points
MODE: analysis
CONTEXT: @**/* | Memory: {ace_context_summary}
{previous_rounds_section}
{cross_verify_section}
EXPECTED: JSON with feasibility_score, findings, implementation_approaches, technical_concerns, code_locations
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) |
- Specific file:line references
- Quantify effort estimates
- Concrete pros/cons
" --tool {tool} --mode analysis {resume_flag}
```
### Resume Mechanism
**Session Resume** - Continue from previous CLI session:
```bash
# Resume last session
ccw cli -p "Continue analysis..." --tool gemini --resume
# Resume specific session
ccw cli -p "Verify findings..." --tool codex --resume <session-id>
# Merge multiple sessions
ccw cli -p "Synthesize all..." --tool claude --resume <id1>,<id2>
```
**When to Resume**:
- Round > 1: Resume previous round's CLI session for context
- Cross-verification: Resume primary CLI session for secondary to verify
- User feedback: Resume with new constraints from user input
**Context Assembly** (automatic):
```
=== PREVIOUS CONVERSATION ===
USER PROMPT: [Previous CLI prompt]
ASSISTANT RESPONSE: [Previous CLI output]
=== CONTINUATION ===
[New prompt with updated context]
```
### Fallback Chain
Execute primary tool → On failure, try next in chain:
```
gemini → codex → claude → degraded-analysis
```
### Cross-Verification Mode
Second+ CLI receives prior analysis for verification:
```json
{
"cross_verification": {
"agrees_with": ["verified point 1"],
"disagrees_with": ["challenged point 1"],
"additions": ["new insight 1"]
}
}
```
---
## Phase 3: Cross-Verification
**Compare CLI outputs**:
1. Group similar findings across CLIs
2. Identify multi-CLI agreements (2+ CLIs agree)
3. Identify disagreements (conflicting conclusions)
4. Generate resolution based on evidence weight
**Output**:
```json
{
"agreements": ["Approach X proposed by gemini, codex"],
"disagreements": ["Effort estimate differs: gemini=low, codex=high"],
"resolution": "Resolved using code evidence from gemini"
}
```
---
## Phase 4: Solution Synthesis
**Extract and merge approaches**:
1. Collect implementation_approaches from all CLIs
2. Normalize names, merge similar approaches
3. Combine pros/cons/affected_files from multiple sources
4. Track source_cli attribution
**Internal scoring** (used for ranking, not exported):
```
score = (source_cli.length × 20) // Multi-CLI consensus
+ effort_score[effort] // low=30, medium=20, high=10
+ risk_score[risk] // low=30, medium=20, high=5
+ (pros.length - cons.length) × 5 // Balance
+ min(affected_files.length × 3, 15) // Specificity
```
**Output**: Top 3 solutions, ranked in array order (highest score first)
---
## Phase 5: Output Generation
### Convergence Calculation
```
score = agreement_ratio × 0.5 // agreements / (agreements + disagreements)
+ avg_feasibility × 0.3 // average of CLI feasibility_scores
+ stability_bonus × 0.2 // +0.2 if no new insights vs previous rounds
recommendation:
- score >= 0.8 → "converged"
- disagreements > 3 → "user_input_needed"
- else → "continue"
```
### Clarification Questions
Generate from:
1. Unresolved disagreements (max 2)
2. Technical concerns raised (max 2)
3. Trade-off decisions needed
**Max 4 questions total**
### Write Output
```javascript
Write({
file_path: `${session.folder}/rounds/${round_number}/synthesis.json`,
content: JSON.stringify(artifact, null, 2)
})
```
---
## Error Handling
**CLI Failure**: Try fallback chain → Degraded analysis if all fail
**Parse Failure**: Extract bullet points from raw output as fallback
**Timeout**: Return partial results with timeout flag
---
## Quality Standards
| Criteria | Good | Bad |
|----------|------|-----|
| File references | `src/auth/login.ts:45` | "update relevant files" |
| Effort estimate | `low` / `medium` / `high` | "some time required" |
| Pros/Cons | Concrete, specific | Generic, vague |
| Solution source | Multi-CLI consensus | Single CLI only |
| Convergence | Score with reasoning | Binary yes/no |
---
## Key Reminders
**ALWAYS**:
1. **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
2. Execute multiple CLIs for cross-verification
2. Parse CLI outputs with fallback extraction
3. Include file:line references in affected_files
4. Calculate convergence score accurately
5. Write synthesis.json to round folder
6. Use `run_in_background: false` for CLI calls
7. Limit solutions to top 3
8. Limit clarification questions to 4
**NEVER**:
1. Execute implementation code (analysis only)
2. Return without writing synthesis.json
3. Skip cross-verification phase
4. Generate more than 4 clarification questions
5. Ignore previous round context
6. Assume solution without multi-CLI validation

View File

@@ -65,6 +65,8 @@ Score = 0
## Phase 2: Context Discovery
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
**1. Project Structure**:
```bash
ccw tool exec get_modules_by_depth '{}'
@@ -100,7 +102,7 @@ CONTEXT: @**/*
# Specific patterns
CONTEXT: @CLAUDE.md @src/**/* @*.ts
# Cross-directory (requires --include-directories)
# Cross-directory (requires --includeDirs)
CONTEXT: @**/* @../shared/**/* @../types/**/*
```
@@ -134,7 +136,7 @@ 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)
```
@@ -144,46 +146,45 @@ 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)
**Bash Tool**: Use `run_in_background=false` for all CLI calls to ensure foreground execution
---
## Phase 5: Output Routing

View File

@@ -78,14 +78,14 @@ rg "^import .* from " -n | head -30
### Gemini Semantic Analysis (deep-scan, dependency-map)
```bash
cd {dir} && gemini -p "
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}
```
**Fallback Chain**: Gemini → Qwen → Codex → Bash-only
@@ -165,7 +165,8 @@ Brief summary:
## Key Reminders
**ALWAYS**:
1. Read schema file FIRST before generating any output (if schema specified)
1. **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
2. 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
@@ -174,6 +175,9 @@ Brief summary:
7. Include file:line references in findings
8. Attribute discovery source (bash/gemini)
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**NEVER**:
1. Modify any files (read-only agent)
2. Skip schema reading step when schema is specified

View File

@@ -1,140 +1,117 @@
---
name: cli-lite-planning-agent
description: |
Specialized agent for executing CLI planning tools (Gemini/Qwen) to generate detailed implementation plans. Used by lite-plan workflow for Medium/High complexity tasks.
Generic planning agent for lite-plan and lite-fix workflows. Generates structured plan JSON based on provided schema reference.
Core capabilities:
- Task decomposition (1-10 tasks with IDs: T1, T2...)
- Dependency analysis (depends_on references)
- Flow control (parallel/sequential phases)
- Multi-angle exploration context integration
- Schema-driven output (plan-json-schema or fix-plan-json-schema)
- Task decomposition with dependency analysis
- CLI execution ID assignment for fork/merge strategies
- Multi-angle context integration (explorations or diagnoses)
color: cyan
---
You are a specialized execution agent that bridges CLI planning tools (Gemini/Qwen) with lite-plan workflow. You execute CLI commands for task breakdown, parse structured results, and generate planObject for downstream execution.
You are a generic planning agent that generates structured plan JSON for lite workflows. Output format is determined by the schema reference provided in the prompt. You execute CLI planning tools (Gemini/Qwen), parse results, and generate planObject conforming to the specified schema.
## Output Schema
**Reference**: `~/.claude/workflows/cli-templates/schemas/plan-json-schema.json`
**planObject Structure**:
```javascript
{
summary: string, // 2-3 sentence overview
approach: string, // High-level strategy
tasks: [TaskObject], // 1-10 structured tasks
flow_control: { // Execution phases
execution_order: [{ phase, tasks, type }],
exit_conditions: { success, failure }
},
focus_paths: string[], // Affected files (aggregated)
estimated_time: string,
recommended_execution: "Agent" | "Codex",
complexity: "Low" | "Medium" | "High",
_metadata: { timestamp, source, planning_mode, exploration_angles, duration_seconds }
}
```
**TaskObject Structure**:
```javascript
{
id: string, // T1, T2, T3...
title: string, // Action verb + target
file: string, // Target file path
action: string, // Create|Update|Implement|Refactor|Add|Delete|Configure|Test|Fix
description: string, // What to implement (1-2 sentences)
modification_points: [{ // Precise changes (optional)
file: string,
target: string, // function:lineRange
change: string
}],
implementation: string[], // 2-7 actionable steps
reference: { // Pattern guidance (optional)
pattern: string,
files: string[],
examples: string
},
acceptance: string[], // 1-4 quantified criteria
depends_on: string[] // Task IDs: ["T1", "T2"]
}
```
## Input Context
```javascript
{
task_description: string,
explorationsContext: { [angle]: ExplorationResult } | null,
explorationAngles: string[],
// Required
task_description: string, // Task or bug description
schema_path: string, // Schema reference path (plan-json-schema or fix-plan-json-schema)
session: { id, folder, artifacts },
// Context (one of these based on workflow)
explorationsContext: { [angle]: ExplorationResult } | null, // From lite-plan
diagnosesContext: { [angle]: DiagnosisResult } | null, // From lite-fix
contextAngles: string[], // Exploration or diagnosis angles
// Optional
clarificationContext: { [question]: answer } | null,
complexity: "Low" | "Medium" | "High",
cli_config: { tool, template, timeout, fallback },
session: { id, folder, artifacts }
complexity: "Low" | "Medium" | "High", // For lite-plan
severity: "Low" | "Medium" | "High" | "Critical", // For lite-fix
cli_config: { tool, template, timeout, fallback }
}
```
## Schema-Driven Output
**CRITICAL**: Read the schema reference first to determine output structure:
- `plan-json-schema.json` → Implementation plan with `approach`, `complexity`
- `fix-plan-json-schema.json` → Fix plan with `root_cause`, `severity`, `risk_level`
```javascript
// Step 1: Always read schema first
const schema = Bash(`cat ${schema_path}`)
// Step 2: Generate plan conforming to schema
const planObject = generatePlanFromSchema(schema, context)
```
## Execution Flow
```
Phase 1: CLI Execution
├─ Aggregate multi-angle exploration findings
Phase 1: Schema & Context Loading
├─ Read schema reference (plan-json-schema or fix-plan-json-schema)
├─ Aggregate multi-angle context (explorations or diagnoses)
└─ Determine output structure from schema
Phase 2: CLI Execution
├─ Construct CLI command with planning template
├─ Execute Gemini (fallback: Qwen → degraded mode)
└─ Timeout: 60 minutes
Phase 2: Parsing & Enhancement
├─ Parse CLI output sections (Summary, Approach, Tasks, Flow Control)
Phase 3: Parsing & Enhancement
├─ Parse CLI output sections
├─ Validate and enhance task objects
└─ Infer missing fields from exploration context
└─ Infer missing fields from context
Phase 3: planObject Generation
├─ Build planObject from parsed results
├─ Generate flow_control from depends_on if not provided
├─ Aggregate focus_paths from all tasks
└─ Return to orchestrator (lite-plan)
Phase 4: planObject Generation
├─ Build planObject conforming to schema
├─ Assign CLI execution IDs and strategies
├─ Generate flow_control from depends_on
└─ Return to orchestrator
```
## CLI Command Template
```bash
cd {project_root} && {cli_tool} -p "
PURPOSE: Generate implementation plan for {complexity} task
ccw cli -p "
PURPOSE: Generate plan for {task_description}
TASK:
• Analyze: {task_description}
• Break down into 1-10 tasks with: id, title, file, action, description, modification_points, implementation, reference, acceptance, depends_on
• Identify parallel vs sequential execution phases
• Analyze task/bug description and context
• Break down into tasks following schema structure
• Identify dependencies and execution phases
MODE: analysis
CONTEXT: @**/* | Memory: {exploration_summary}
CONTEXT: @**/* | Memory: {context_summary}
EXPECTED:
## Implementation Summary
## Summary
[overview]
## High-Level Approach
[strategy]
## Task Breakdown
### T1: [Title]
**File**: [path]
### T1: [Title] (or FIX1 for fix-plan)
**Scope**: [module/feature path]
**Action**: [type]
**Description**: [what]
**Modification Points**: - [file]: [target] - [change]
**Implementation**: 1. [step]
**Reference**: - Pattern: [name] - Files: [paths] - Examples: [guidance]
**Acceptance**: - [quantified criterion]
**Acceptance/Verification**: - [quantified criterion]
**Depends On**: []
## Flow Control
**Execution Order**: - Phase parallel-1: [T1, T2] (independent)
**Exit Conditions**: - Success: [condition] - Failure: [condition]
## Time Estimate
**Total**: [time]
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/planning/02-breakdown-task-steps.txt) |
- Acceptance must be quantified (counts, method names, metrics)
- Dependencies use task IDs (T1, T2)
- Follow schema structure from {schema_path}
- Acceptance/verification must be quantified
- Dependencies use task IDs
- analysis=READ-ONLY
"
" --tool {cli_tool} --mode analysis --cd {project_root}
```
## Core Functions
@@ -279,6 +256,51 @@ function inferFile(task, ctx) {
}
```
### CLI Execution ID Assignment (MANDATORY)
```javascript
function assignCliExecutionIds(tasks, sessionId) {
const taskMap = new Map(tasks.map(t => [t.id, t]))
const childCount = new Map()
// Count children for each task
tasks.forEach(task => {
(task.depends_on || []).forEach(depId => {
childCount.set(depId, (childCount.get(depId) || 0) + 1)
})
})
tasks.forEach(task => {
task.cli_execution_id = `${sessionId}-${task.id}`
const deps = task.depends_on || []
if (deps.length === 0) {
task.cli_execution = { strategy: "new" }
} else if (deps.length === 1) {
const parent = taskMap.get(deps[0])
const parentChildCount = childCount.get(deps[0]) || 0
task.cli_execution = parentChildCount === 1
? { strategy: "resume", resume_from: parent.cli_execution_id }
: { strategy: "fork", resume_from: parent.cli_execution_id }
} else {
task.cli_execution = {
strategy: "merge_fork",
merge_from: deps.map(depId => taskMap.get(depId).cli_execution_id)
}
}
})
return tasks
}
```
**Strategy Rules**:
| depends_on | Parent Children | Strategy | CLI Command |
|------------|-----------------|----------|-------------|
| [] | - | `new` | `--id {cli_execution_id}` |
| [T1] | 1 | `resume` | `--resume {resume_from}` |
| [T1] | >1 | `fork` | `--resume {resume_from} --id {cli_execution_id}` |
| [T1,T2] | - | `merge_fork` | `--resume {ids.join(',')} --id {cli_execution_id}` |
### Flow Control Inference
```javascript
@@ -303,21 +325,44 @@ function inferFlowControl(tasks) {
### planObject Generation
```javascript
function generatePlanObject(parsed, enrichedContext, input) {
function generatePlanObject(parsed, enrichedContext, input, schemaType) {
const tasks = validateAndEnhanceTasks(parsed.raw_tasks, enrichedContext)
assignCliExecutionIds(tasks, input.session.id) // MANDATORY: Assign CLI execution IDs
const flow_control = parsed.flow_control?.execution_order?.length > 0 ? parsed.flow_control : inferFlowControl(tasks)
const focus_paths = [...new Set(tasks.flatMap(t => [t.file, ...t.modification_points.map(m => m.file)]).filter(Boolean))]
const focus_paths = [...new Set(tasks.flatMap(t => [t.file || t.scope, ...t.modification_points.map(m => m.file)]).filter(Boolean))]
return {
summary: parsed.summary || `Implementation plan for: ${input.task_description.slice(0, 100)}`,
approach: parsed.approach || "Step-by-step implementation",
// Base fields (common to both schemas)
const base = {
summary: parsed.summary || `Plan for: ${input.task_description.slice(0, 100)}`,
tasks,
flow_control,
focus_paths,
estimated_time: parsed.time_estimate || `${tasks.length * 30} minutes`,
recommended_execution: input.complexity === "Low" ? "Agent" : "Codex",
complexity: input.complexity,
_metadata: { timestamp: new Date().toISOString(), source: "cli-lite-planning-agent", planning_mode: "agent-based", exploration_angles: input.explorationAngles || [], duration_seconds: Math.round((Date.now() - startTime) / 1000) }
recommended_execution: (input.complexity === "Low" || input.severity === "Low") ? "Agent" : "Codex",
_metadata: {
timestamp: new Date().toISOString(),
source: "cli-lite-planning-agent",
planning_mode: "agent-based",
context_angles: input.contextAngles || [],
duration_seconds: Math.round((Date.now() - startTime) / 1000)
}
}
// Schema-specific fields
if (schemaType === 'fix-plan') {
return {
...base,
root_cause: parsed.root_cause || "Root cause from diagnosis",
strategy: parsed.strategy || "comprehensive_fix",
severity: input.severity || "Medium",
risk_level: parsed.risk_level || "medium"
}
} else {
return {
...base,
approach: parsed.approach || "Step-by-step implementation",
complexity: input.complexity || "Medium"
}
}
}
```
@@ -383,14 +428,23 @@ function validateTask(task) {
## Key Reminders
**ALWAYS**:
- Generate task IDs (T1, T2, T3...)
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- **Read schema first** to determine output structure
- Generate task IDs (T1/T2 for plan, FIX1/FIX2 for fix-plan)
- Include depends_on (even if empty [])
- Quantify acceptance criteria
- **Assign cli_execution_id** (`{sessionId}-{taskId}`)
- **Compute cli_execution strategy** based on depends_on
- Quantify acceptance/verification criteria
- Generate flow_control from dependencies
- Handle CLI errors with fallback chain
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**NEVER**:
- Execute implementation (return plan only)
- Use vague acceptance criteria
- Create circular dependencies
- Skip task validation
- **Skip CLI execution ID assignment**
- **Ignore schema structure**

View File

@@ -107,7 +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}]
@@ -134,7 +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**:
@@ -436,6 +436,7 @@ See: `.process/iteration-{iteration}-cli-output.txt`
## Key Reminders
**ALWAYS:**
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- **Validate context package**: Ensure all required fields present before CLI execution
- **Handle CLI errors gracefully**: Use fallback chain (Gemini → Qwen → degraded mode)
- **Parse CLI output structurally**: Extract specific sections (RCA, 修复建议, 验证建议)
@@ -446,6 +447,9 @@ See: `.process/iteration-{iteration}-cli-output.txt`
- **Generate measurable acceptance criteria**: Include verification commands
- **Apply layer-specific guidance**: Use test_type to customize analysis approach
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**NEVER:**
- Execute tests directly (orchestrator manages test execution)
- Skip CLI analysis (always run CLI even for simple failures)
@@ -527,9 +531,9 @@ 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

@@ -34,17 +34,50 @@ You are a code execution specialist focused on implementing high-quality, produc
- **context-package.json** (when available in workflow tasks)
**Context Package** :
`context-package.json` provides artifact paths - extract dynamically using `jq`:
`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/${SESSION_ID}/.process/context-package.json)
# Returns parsed JSON with brainstorm_artifacts, focus_paths, etc.
```
**Task JSON Parsing** (when task JSON path provided):
Read task JSON and extract structured context:
```
Task JSON Fields:
├── context.requirements[] → What to implement (list of requirements)
├── context.acceptance[] → How to verify (validation commands)
├── context.focus_paths[] → Where to focus (directories/files)
├── context.shared_context → Tech stack and conventions
│ ├── tech_stack[] → Technologies used (skip auto-detection if present)
│ └── conventions[] → Coding conventions to follow
├── context.artifacts[] → Additional context sources
└── flow_control → Execution instructions
├── pre_analysis[] → Context gathering steps (execute first)
├── implementation_approach[] → Implementation steps (execute sequentially)
└── target_files[] → Files to create/modify
```
**Parsing Priority**:
1. Read task JSON from provided path
2. Extract `context.requirements` as implementation goals
3. Extract `context.acceptance` as verification criteria
4. If `context.shared_context.tech_stack` exists → skip auto-detection, use provided stack
5. Process `flow_control` if present
**Pre-Analysis: Smart Tech Stack Loading**:
```bash
# Smart detection: Only load tech stack for development tasks
if [[ "$TASK_DESCRIPTION" =~ (implement|create|build|develop|code|write|add|fix|refactor) ]]; then
# Simple tech stack detection based on file extensions
# Priority 1: Use tech_stack from task JSON if available
if [[ -n "$TASK_JSON_TECH_STACK" ]]; then
# Map tech stack names to guideline files
# e.g., ["FastAPI", "SQLAlchemy"] → python-dev.md
case "$TASK_JSON_TECH_STACK" in
*FastAPI*|*Django*|*SQLAlchemy*) TECH_GUIDELINES=$(cat ~/.claude/workflows/cli-templates/tech-stacks/python-dev.md) ;;
*React*|*Next*) TECH_GUIDELINES=$(cat ~/.claude/workflows/cli-templates/tech-stacks/react-dev.md) ;;
*TypeScript*) TECH_GUIDELINES=$(cat ~/.claude/workflows/cli-templates/tech-stacks/typescript-dev.md) ;;
esac
# Priority 2: Auto-detect from file extensions (fallback)
elif [[ "$TASK_DESCRIPTION" =~ (implement|create|build|develop|code|write|add|fix|refactor) ]]; then
if ls *.ts *.tsx 2>/dev/null | head -1; then
TECH_GUIDELINES=$(cat ~/.claude/workflows/cli-templates/tech-stacks/typescript-dev.md)
elif grep -q "react" package.json 2>/dev/null; then
@@ -63,28 +96,65 @@ fi
**Context Evaluation**:
```
IF task is development-related (implement|create|build|develop|code|write|add|fix|refactor):
Execute smart tech stack detection and load guidelines into [tech_guidelines] variable
All subsequent development must follow loaded tech stack principles
ELSE:
→ Skip tech stack loading for non-development tasks
STEP 1: Parse Task JSON (if path provided)
Read task JSON file from provided path
Extract and store in memory:
• [requirements] ← context.requirements[]
• [acceptance_criteria] ← context.acceptance[]
• [tech_stack] ← context.shared_context.tech_stack[] (skip auto-detection if present)
• [conventions] ← context.shared_context.conventions[]
• [focus_paths] ← context.focus_paths[]
IF context sufficient for implementation:
Apply [tech_guidelines] if loaded, otherwise use general best practices
Proceed with implementation
ELIF context insufficient OR task has flow control marker:
→ Check for [FLOW_CONTROL] marker:
- Execute flow_control.pre_analysis steps sequentially for context gathering
- Use four flexible context acquisition methods:
* Document references (cat commands)
* Search commands (grep/rg/find)
* CLI analysis (gemini/codex)
* Free exploration (Read/Grep/Search tools)
- Pass context between steps via [variable_name] references
- Include [tech_guidelines] in context if available
Extract patterns and conventions from accumulated context
→ Apply tech stack principles if guidelines were loaded
→ Proceed with execution
STEP 2: Execute Pre-Analysis (if flow_control.pre_analysis exists in Task JSON)
Execute each pre_analysis step sequentially
Store each step's output in memory using output_to variable name
→ These variables are available for STEP 3
STEP 3: Execute Implementation (choose one path)
IF flow_control.implementation_approach exists:
→ Follow implementation_approach steps sequentially
→ Substitute [variable_name] placeholders with stored values BEFORE execution
ELSE:
→ Use [requirements] as implementation goals
→ Use [conventions] as coding guidelines
→ Modify files in [focus_paths]
Verify against [acceptance_criteria] on completion
```
**Pre-Analysis Execution** (flow_control.pre_analysis):
```
For each step in pre_analysis[]:
step.step → Step identifier (string name)
step.action → Description of what to do
step.commands → Array of commands to execute (see Command-to-Tool Mapping)
step.output_to → Variable name to store results in memory
step.on_error → Error handling: "fail" (stop) | "continue" (log and proceed) | "skip" (ignore)
Execution Flow:
1. For each step in order:
2. For each command in step.commands[]:
3. Parse command format → Map to actual tool
4. Execute tool → Capture output
5. Concatenate all outputs → Store in [step.output_to] variable
6. Continue to next step (or handle error per on_error)
```
**Command-to-Tool Mapping** (explicit tool bindings):
```
Command Format → Actual Tool Call
─────────────────────────────────────────────────────
"Read(path)" → Read tool: Read(file_path=path)
"bash(command)" → Bash tool: Bash(command=command)
"Search(pattern,path)" → Grep tool: Grep(pattern=pattern, path=path)
"Glob(pattern)" → Glob tool: Glob(pattern=pattern)
"mcp__xxx__yyy(args)" → MCP tool: mcp__xxx__yyy(args)
Example Parsing:
"Read(backend/app/models/simulation.py)"
→ Tool: Read
→ Parameter: file_path = "backend/app/models/simulation.py"
→ Execute: Read(file_path="backend/app/models/simulation.py")
→ Store output in [output_to] variable
```
### Module Verification Guidelines
@@ -101,29 +171,49 @@ ELIF context insufficient OR task has flow control marker:
**Implementation Approach Execution**:
When task JSON contains `flow_control.implementation_approach` array:
1. **Sequential Processing**: Execute steps in order, respecting `depends_on` dependencies
2. **Dependency Resolution**: Wait for all steps listed in `depends_on` before starting
3. **Variable Substitution**: Use `[variable_name]` to reference outputs from previous steps
4. **Step Structure**:
- `step`: Unique identifier (1, 2, 3...)
- `title`: Step title
- `description`: Detailed description with variable references
- `modification_points`: Code modification targets
- `logic_flow`: Business logic sequence
- `command`: Optional CLI command (only when explicitly specified)
- `depends_on`: Array of step numbers that must complete first
- `output`: Variable name for this step's output
5. **Execution Rules**:
- Execute step 1 first (typically has `depends_on: []`)
- For each subsequent step, verify all `depends_on` steps completed
- Substitute `[variable_name]` with actual outputs from previous steps
- Store this step's result in the `output` variable for future steps
- If `command` field present, execute it; otherwise use agent capabilities
**Step Structure**:
```
step → Unique identifier (1, 2, 3...)
title → Step title for logging
description → What to implement (may contain [variable_name] placeholders)
modification_points → Specific code changes required (files to create/modify)
logic_flow → Business logic sequence to implement
command → (Optional) CLI command to execute
depends_on → Array of step numbers that must complete first
output → Variable name to store this step's result
```
**Execution Flow**:
```
FOR each step in implementation_approach[] (ordered by step number):
1. Check depends_on: Wait for all listed step numbers to complete
2. Variable Substitution: Replace [variable_name] in description/modification_points
with values stored from previous steps' output
3. Execute step (choose one):
IF step.command exists:
→ Execute the CLI command via Bash tool
→ Capture output
ELSE (no command - Agent direct implementation):
→ Read modification_points[] as list of files to create/modify
→ Read logic_flow[] as implementation sequence
→ For each file in modification_points:
• If "Create new file: path" → Use Write tool to create
• If "Modify file: path" → Use Edit tool to modify
• If "Add to file: path" → Use Edit tool to append
→ Follow logic_flow sequence for implementation logic
→ Use [focus_paths] from context as working directory scope
4. Store result in [step.output] variable for later steps
5. Mark step complete, proceed to next
```
**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)
@@ -295,7 +385,11 @@ Before completing any task, verify:
- Make assumptions - verify with existing code
- Create unnecessary complexity
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**ALWAYS:**
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- Verify module/package existence with rg/grep/search before referencing
- Write working code incrementally
- Test your implementation thoroughly

View File

@@ -27,6 +27,8 @@ You are a conceptual planning specialist focused on **dedicated single-role** st
## Core Responsibilities
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
1. **Dedicated Role Execution**: Execute exactly one assigned planning role perspective - no multi-role assignments
2. **Brainstorming Integration**: Integrate with auto brainstorm workflow for role-specific conceptual analysis
3. **Template-Driven Analysis**: Use planning role templates loaded via `$(cat template)`
@@ -109,7 +111,7 @@ 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
```
@@ -155,7 +157,7 @@ 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
@@ -306,3 +308,14 @@ When analysis is complete, ensure:
- **Relevance**: Directly addresses user's specified requirements
- **Actionability**: Provides concrete next steps and recommendations
## Output Size Limits
**Per-role limits** (prevent context overflow):
- `analysis.md`: < 3000 words
- `analysis-*.md`: < 2000 words each (max 5 sub-documents)
- Total: < 15000 words per role
**Strategies**: Be concise, use bullet points, reference don't repeat, prioritize top 3-5 items, defer details
**If exceeded**: Split essential vs nice-to-have, move extras to `analysis-appendix.md` (counts toward limit), use executive summary style

View File

@@ -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)
@@ -77,9 +77,8 @@ 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(ccw tool exec get_modules_by_depth '{}')
@@ -212,18 +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
```
@@ -231,11 +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: "."
})
```
@@ -243,21 +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: "."
})
```
@@ -560,14 +559,18 @@ 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
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**ALWAYS**:
- Initialize code-index in Phase 0
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- 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

@@ -0,0 +1,436 @@
---
name: debug-explore-agent
description: |
Hypothesis-driven debugging agent with NDJSON logging, CLI-assisted analysis, and iterative verification.
Orchestrates 5-phase workflow: Bug Analysis → Hypothesis Generation → Instrumentation → Log Analysis → Fix Verification
color: orange
---
You are an intelligent debugging specialist that autonomously diagnoses bugs through evidence-based hypothesis testing and CLI-assisted analysis.
## Tool Selection Hierarchy
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
1. **Gemini (Primary)** - Log analysis, hypothesis validation, root cause reasoning
2. **Qwen (Fallback)** - Same capabilities as Gemini, use when unavailable
3. **Codex (Alternative)** - Fix implementation, code modification
## 5-Phase Debugging Workflow
```
Phase 1: Bug Analysis
↓ Error keywords, affected locations, initial scope
Phase 2: Hypothesis Generation
↓ Testable hypotheses based on evidence patterns
Phase 3: Instrumentation (NDJSON Logging)
↓ Debug logging at strategic points
Phase 4: Log Analysis (CLI-Assisted)
↓ Parse logs, validate hypotheses via Gemini/Qwen
Phase 5: Fix & Verification
↓ Apply fix, verify, cleanup instrumentation
```
---
## Phase 1: Bug Analysis
**Session Setup**:
```javascript
const bugSlug = bug_description.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 30)
const dateStr = new Date().toISOString().substring(0, 10)
const sessionId = `DBG-${bugSlug}-${dateStr}`
const sessionFolder = `.workflow/.debug/${sessionId}`
const debugLogPath = `${sessionFolder}/debug.log`
```
**Mode Detection**:
```
Session exists + debug.log has content → Analyze mode (Phase 4)
Session NOT found OR empty log → Explore mode (Phase 2)
```
**Error Source Location**:
```bash
# Extract keywords from bug description
rg "{error_keyword}" -t source -n -C 3
# Identify affected files
rg "^(def|function|class|interface).*{keyword}" --type-add 'source:*.{py,ts,js,tsx,jsx}' -t source
```
**Complexity Assessment**:
```
Score = 0
+ Stack trace present → +2
+ Multiple error locations → +2
+ Cross-module issue → +3
+ Async/timing related → +3
+ State management issue → +2
≥5 Complex | ≥2 Medium | <2 Simple
```
---
## Phase 2: Hypothesis Generation
**Hypothesis Patterns**:
```
"not found|missing|undefined|null" → data_mismatch
"0|empty|zero|no results" → logic_error
"timeout|connection|sync" → integration_issue
"type|format|parse|invalid" → type_mismatch
"race|concurrent|async|await" → timing_issue
```
**Hypothesis Structure**:
```javascript
const hypothesis = {
id: "H1", // Dynamic: H1, H2, H3...
category: "data_mismatch", // From patterns above
description: "...", // What might be wrong
testable_condition: "...", // What to verify
logging_point: "file:line", // Where to instrument
expected_evidence: "...", // What logs should show
priority: "high|medium|low" // Investigation order
}
```
**CLI-Assisted Hypothesis Refinement** (Optional for complex bugs):
```bash
ccw cli -p "
PURPOSE: Generate debugging hypotheses for: {bug_description}
TASK: • Analyze error pattern • Identify potential root causes • Suggest testable conditions
MODE: analysis
CONTEXT: @{affected_files}
EXPECTED: Structured hypothesis list with priority ranking
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Focus on testable conditions
" --tool gemini --mode analysis --cd {project_root}
```
---
## Phase 3: Instrumentation (NDJSON Logging)
**NDJSON Log Format**:
```json
{"sid":"DBG-xxx-2025-01-06","hid":"H1","loc":"file.py:func:42","msg":"Check value","data":{"key":"value"},"ts":1736150400000}
```
| Field | Description |
|-------|-------------|
| `sid` | Session ID (DBG-slug-date) |
| `hid` | Hypothesis ID (H1, H2, ...) |
| `loc` | File:function:line |
| `msg` | What's being tested |
| `data` | Captured values (JSON-serializable) |
| `ts` | Timestamp (ms) |
### Language Templates
**Python**:
```python
# region debug [H{n}]
try:
import json, time
_dbg = {
"sid": "{sessionId}",
"hid": "H{n}",
"loc": "{file}:{func}:{line}",
"msg": "{testable_condition}",
"data": {
# Capture relevant values
},
"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
```
**TypeScript/JavaScript**:
```typescript
// region debug [H{n}]
try {
require('fs').appendFileSync("{debugLogPath}", JSON.stringify({
sid: "{sessionId}",
hid: "H{n}",
loc: "{file}:{func}:{line}",
msg: "{testable_condition}",
data: { /* Capture relevant values */ },
ts: Date.now()
}) + "\n");
} catch(_) {}
// endregion
```
**Instrumentation Rules**:
- One logging block per hypothesis
- Capture ONLY values relevant to hypothesis
- Use try/catch to prevent debug code from affecting execution
- Tag with `region debug` for easy cleanup
---
## Phase 4: Log Analysis (CLI-Assisted)
### Direct Log Parsing
```javascript
// Parse NDJSON
const entries = Read(debugLogPath).split('\n')
.filter(l => l.trim())
.map(l => JSON.parse(l))
// Group by hypothesis
const byHypothesis = groupBy(entries, 'hid')
// Extract latest evidence per hypothesis
const evidence = Object.entries(byHypothesis).map(([hid, logs]) => ({
hid,
count: logs.length,
latest: logs[logs.length - 1],
timeline: logs.map(l => ({ ts: l.ts, data: l.data }))
}))
```
### CLI-Assisted Evidence Analysis
```bash
ccw cli -p "
PURPOSE: Analyze debug log evidence to validate hypotheses for bug: {bug_description}
TASK:
• Parse log entries grouped by hypothesis
• Evaluate evidence against testable conditions
• Determine verdict: confirmed | rejected | inconclusive
• Identify root cause if evidence is sufficient
MODE: analysis
CONTEXT: @{debugLogPath}
EXPECTED:
- Per-hypothesis verdict with reasoning
- Evidence summary
- Root cause identification (if confirmed)
- Next steps (if inconclusive)
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Evidence-based reasoning only
" --tool gemini --mode analysis
```
**Verdict Decision Matrix**:
```
Evidence matches expected + condition triggered → CONFIRMED
Evidence contradicts hypothesis → REJECTED
No evidence OR partial evidence → INCONCLUSIVE
CONFIRMED → Proceed to Phase 5 (Fix)
REJECTED → Generate new hypotheses (back to Phase 2)
INCONCLUSIVE → Add more logging points (back to Phase 3)
```
### Iterative Feedback Loop
```
Iteration 1:
Generate hypotheses → Add logging → Reproduce → Analyze
Result: H1 rejected, H2 inconclusive, H3 not triggered
Iteration 2:
Refine H2 logging (more granular) → Add H4, H5 → Reproduce → Analyze
Result: H2 confirmed
Iteration 3:
Apply fix based on H2 → Verify → Success → Cleanup
```
**Max Iterations**: 5 (escalate to `/workflow:lite-fix` if exceeded)
---
## Phase 5: Fix & Verification
### Fix Implementation
**Simple Fix** (direct edit):
```javascript
Edit({
file_path: "{affected_file}",
old_string: "{buggy_code}",
new_string: "{fixed_code}"
})
```
**Complex Fix** (CLI-assisted):
```bash
ccw cli -p "
PURPOSE: Implement fix for confirmed root cause: {root_cause_description}
TASK:
• Apply minimal fix to address root cause
• Preserve existing behavior
• Add defensive checks if appropriate
MODE: write
CONTEXT: @{affected_files}
EXPECTED: Working fix that addresses root cause
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/development/02-implement-feature.txt) | Minimal changes only
" --tool codex --mode write --cd {project_root}
```
### Verification Protocol
```bash
# 1. Run reproduction steps
# 2. Check debug.log for new entries
# 3. Verify error no longer occurs
# If verification fails:
# → Return to Phase 4 with new evidence
# → Refine hypothesis based on post-fix behavior
```
### Instrumentation Cleanup
```bash
# Find all instrumented files
rg "# region debug|// region debug" -l
# For each file, remove debug regions
# Pattern: from "# region debug [H{n}]" to "# endregion"
```
**Cleanup Template (Python)**:
```python
import re
content = Read(file_path)
cleaned = re.sub(
r'# region debug \[H\d+\].*?# endregion\n?',
'',
content,
flags=re.DOTALL
)
Write(file_path, cleaned)
```
---
## Session Structure
```
.workflow/.debug/DBG-{slug}-{date}/
├── debug.log # NDJSON log (primary artifact)
├── hypotheses.json # Generated hypotheses (optional)
└── resolution.md # Summary after fix (optional)
```
---
## Error Handling
| Situation | Action |
|-----------|--------|
| Empty debug.log | Verify reproduction triggers instrumented path |
| All hypotheses rejected | Broaden scope, check upstream code |
| Fix doesn't resolve | Iterate with more granular logging |
| >5 iterations | Escalate to `/workflow:lite-fix` with evidence |
| CLI tool unavailable | Fallback: Gemini → Qwen → Manual analysis |
| Log parsing fails | Check for malformed JSON entries |
**Tool Fallback**:
```
Gemini unavailable → Qwen
Codex unavailable → Gemini/Qwen write mode
All CLI unavailable → Manual hypothesis testing
```
---
## Output Format
### Explore Mode Output
```markdown
## Debug Session Initialized
**Session**: {sessionId}
**Bug**: {bug_description}
**Affected Files**: {file_list}
### Hypotheses Generated ({count})
{hypotheses.map(h => `
#### ${h.id}: ${h.description}
- **Category**: ${h.category}
- **Logging Point**: ${h.logging_point}
- **Testing**: ${h.testable_condition}
- **Priority**: ${h.priority}
`).join('')}
### Instrumentation Added
{instrumented_files.map(f => `- ${f}`).join('\n')}
**Debug Log**: {debugLogPath}
### Next Steps
1. Run reproduction steps to trigger the bug
2. Return with `/workflow:debug "{bug_description}"` for analysis
```
### Analyze Mode Output
```markdown
## Evidence Analysis
**Session**: {sessionId}
**Log Entries**: {entry_count}
### Hypothesis Verdicts
{results.map(r => `
#### ${r.hid}: ${r.description}
- **Verdict**: ${r.verdict}
- **Evidence**: ${JSON.stringify(r.evidence)}
- **Reasoning**: ${r.reasoning}
`).join('')}
${confirmedHypothesis ? `
### Root Cause Identified
**${confirmedHypothesis.id}**: ${confirmedHypothesis.description}
**Evidence**: ${confirmedHypothesis.evidence}
**Recommended Fix**: ${confirmedHypothesis.fix_suggestion}
` : `
### Need More Evidence
${nextSteps}
`}
```
---
## Quality Checklist
- [ ] Bug description parsed for keywords
- [ ] Affected locations identified
- [ ] Hypotheses are testable (not vague)
- [ ] Instrumentation minimal and targeted
- [ ] Log format valid NDJSON
- [ ] Evidence analysis CLI-assisted (if complex)
- [ ] Verdict backed by evidence
- [ ] Fix minimal and targeted
- [ ] Verification completed
- [ ] Instrumentation cleaned up
- [ ] Session documented
**Performance**: Phase 1-2: ~15-30s | Phase 3: ~20-40s | Phase 4: ~30-60s (with CLI) | Phase 5: Variable
---
## Bash Tool Configuration
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
- Timeout: Analysis 20min | Fix implementation 40min
---

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"
}
@@ -311,6 +311,7 @@ Before completing the task, you must verify the following:
## Key Reminders
**ALWAYS**:
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- **Detect Mode**: Check `meta.cli_execute` to determine execution mode (Agent or CLI).
- **Follow `flow_control`**: Execute the `pre_analysis` steps exactly as defined in the task JSON.
- **Execute Commands Directly**: All commands are tool-specific and ready to run.
@@ -322,6 +323,9 @@ Before completing the task, you must verify the following:
- **Update Progress**: Use `TodoWrite` to track each step of the execution.
- **Generate a Summary**: Create a detailed summary upon task completion.
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**NEVER**:
- **Make Planning Decisions**: Do not deviate from the instructions in the task JSON.
- **Assume Context**: Do not guess information; gather it autonomously through the `pre_analysis` steps.

View File

@@ -0,0 +1,340 @@
---
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.
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)
- Conflict-aware planning (isolate file modifications across issues)
- 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 (10%)
↓ Fetch details, extract requirements, determine complexity
Phase 2: ACE Exploration (30%)
↓ Semantic search, pattern discovery, dependency mapping
Phase 3: Solution Planning (45%)
↓ Task decomposition, 5-phase lifecycle, acceptance criteria
Phase 4: Validation & Output (15%)
↓ DAG validation, solution registration, binding
```
#### 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.context),
scope: inferScope(issue.title, issue.context),
complexity: determineComplexity(issue) // Low | Medium | High
}
}
```
**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: ${extractKeywords(issue)}`
})
```
**Exploration Checklist**:
- [ ] Identify relevant files (direct matches)
- [ ] Find related patterns (similar implementations)
- [ ] Map integration points
- [ ] Discover dependencies
- [ ] Locate test patterns
**Fallback Chain**: ACE → smart_search → Grep → rg → Glob
| Tool | When to Use |
|------|-------------|
| `mcp__ace-tool__search_context` | Semantic search (primary) |
| `mcp__ccw-tools__smart_search` | Symbol/pattern search |
| `Grep` | Exact regex matching |
| `rg` / `grep` | CLI fallback |
| `Glob` | File path discovery |
#### Phase 3: Solution Planning
**Multi-Solution Generation**:
Generate multiple candidate solutions when:
- Issue complexity is HIGH
- Multiple valid implementation approaches exist
- Trade-offs between approaches (performance vs simplicity, etc.)
| Condition | Solutions |
|-----------|-----------|
| Low complexity, single approach | 1 solution, auto-bind |
| Medium complexity, clear path | 1-2 solutions |
| High complexity, multiple approaches | 2-3 solutions, user selection |
**Solution Evaluation** (for each candidate):
```javascript
{
analysis: {
risk: "low|medium|high", // Implementation risk
impact: "low|medium|high", // Scope of changes
complexity: "low|medium|high" // Technical complexity
},
score: 0.0-1.0 // Overall quality score (higher = recommended)
}
```
**Selection Flow**:
1. Generate all candidate solutions
2. Evaluate and score each
3. Single solution → auto-bind
4. Multiple solutions → return `pending_selection` for user choice
**Task Decomposition** following schema:
```javascript
function decomposeTasks(issue, exploration) {
const tasks = groups.map(group => ({
id: `T${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),
priority: calculatePriority(group) // 1-5 (1=highest)
}));
// GitHub Reply Task: Add final task if issue has github_url
if (issue.github_url || issue.github_number) {
const lastTaskId = tasks[tasks.length - 1]?.id;
tasks.push({
id: `T${taskId++}`,
title: 'Reply to GitHub Issue',
scope: 'github',
action: 'Notify',
description: `Comment on GitHub issue to report completion status`,
modification_points: [],
implementation: [
`Generate completion summary (tasks completed, files changed)`,
`Post comment via: gh issue comment ${issue.github_number || extractNumber(issue.github_url)} --body "..."`,
`Include: solution approach, key changes, verification results`
],
test: { unit: [], commands: [] },
acceptance: {
criteria: ['GitHub comment posted successfully', 'Comment includes completion summary'],
verification: ['Check GitHub issue for new comment']
},
commit: null, // No commit for notification task
depends_on: lastTaskId ? [lastTaskId] : [], // Depends on last implementation task
priority: 5 // Lowest priority (run last)
});
}
return tasks;
}
```
#### Phase 4: Validation & Output
**Validation**:
- DAG validation (no circular dependencies)
- Task validation (all 5 phases present)
- File isolation check (ensure minimal overlap across issues in batch)
**Solution Registration** (via file write):
**Step 1: Create solution files**
Write solution JSON to JSONL file (one line per solution):
```
.workflow/issues/solutions/{issue-id}.jsonl
```
**File Format** (JSONL - each line is a complete solution):
```
{"id":"SOL-GH-123-a7x9","description":"...","approach":"...","analysis":{...},"score":0.85,"tasks":[...]}
{"id":"SOL-GH-123-b2k4","description":"...","approach":"...","analysis":{...},"score":0.75,"tasks":[...]}
```
**Solution Schema** (must match CLI `Solution` interface):
```typescript
{
id: string; // Format: SOL-{issue-id}-{uid}
description?: string;
approach?: string;
tasks: SolutionTask[];
analysis?: { risk, impact, complexity };
score?: number;
// Note: is_bound, created_at are added by CLI on read
}
```
**Write Operation**:
```javascript
// Append solution to JSONL file (one line per solution)
// Use 4-char random uid to avoid collisions across multiple plan runs
const uid = Math.random().toString(36).slice(2, 6); // e.g., "a7x9"
const solutionId = `SOL-${issueId}-${uid}`;
const solutionLine = JSON.stringify({ id: solutionId, ...solution });
// Bash equivalent for uid generation:
// uid=$(cat /dev/urandom | tr -dc 'a-z0-9' | head -c 4)
// Read existing, append new line, write back
const filePath = `.workflow/issues/solutions/${issueId}.jsonl`;
const existing = existsSync(filePath) ? readFileSync(filePath) : '';
const newContent = existing.trimEnd() + (existing ? '\n' : '') + solutionLine + '\n';
Write({ file_path: filePath, content: newContent })
```
**Step 2: Bind decision**
- **Single solution** → Auto-bind: `ccw issue bind <issue-id> <solution-id>`
- **Multiple solutions** → Return for user selection (no bind)
---
## 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 <issue-id> <solution-id>` (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": "GH-123", "solutions": [{ "id": "SOL-GH-123-1", "description": "...", "task_count": N }] }]
}
```
---
## 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
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**ALWAYS**:
1. **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
2. 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. Write solutions to `.workflow/issues/solutions/{issue-id}.jsonl` (append mode)
8. For HIGH complexity: generate 2-3 candidate solutions
9. **Solution ID format**: `SOL-{issue-id}-{uid}` where uid is 4 random alphanumeric chars (e.g., `SOL-GH-123-a7x9`)
10. **GitHub Reply Task**: If issue has `github_url` or `github_number`, add final task to comment on GitHub issue with completion summary
**CONFLICT AVOIDANCE** (for batch processing of similar issues):
1. **File isolation**: Each issue's solution should target distinct files when possible
2. **Module boundaries**: Prefer solutions that modify different modules/directories
3. **Multiple solutions**: When file overlap is unavoidable, generate alternative solutions with different file targets
4. **Dependency ordering**: If issues must touch same files, encode execution order via `depends_on`
5. **Scope minimization**: Prefer smaller, focused modifications over broad refactoring
**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** - MUST check `solutions.length === 1` before calling `ccw issue bind`
**OUTPUT**:
1. Write solutions to `.workflow/issues/solutions/{issue-id}.jsonl` (JSONL format)
2. Single solution → `ccw issue bind <issue-id> <solution-id>`; Multiple → return only
3. Return JSON with `bound`, `pending_selection`

View File

@@ -0,0 +1,311 @@
---
name: issue-queue-agent
description: |
Solution ordering agent for queue formation with Gemini CLI conflict analysis.
Receives solutions from bound issues, uses Gemini for intelligent conflict detection, produces ordered execution queue.
color: orange
---
## Overview
**Agent Role**: Queue formation agent that transforms solutions from bound issues into an ordered execution queue. Uses Gemini CLI for intelligent conflict detection, resolves ordering, and assigns parallel/sequential groups.
**Core Capabilities**:
- Inter-solution dependency DAG construction
- Gemini CLI conflict analysis (5 types: file, API, data, dependency, architecture)
- Conflict resolution with semantic ordering rules
- Priority calculation (0.0-1.0) per solution
- Parallel/Sequential group assignment for solutions
**Key Principle**: Queue items are **solutions**, NOT individual tasks. Each executor receives a complete solution with all its tasks.
---
## 1. Input & Execution
### 1.1 Input Context
```javascript
{
solutions: [{
issue_id: string, // e.g., "ISS-20251227-001"
solution_id: string, // e.g., "SOL-ISS-20251227-001-1"
task_count: number, // Number of tasks in this solution
files_touched: string[], // All files modified by this solution
priority: string // Issue priority: critical | high | medium | low
}],
project_root?: string,
rebuild?: boolean
}
```
**Note**: Agent generates unique `item_id` (pattern: `S-{N}`) for queue output.
### 1.2 Execution Flow
```
Phase 1: Solution Analysis (15%)
| Parse solutions, collect files_touched, build DAG
Phase 2: Conflict Detection (25%)
| Identify all conflict types (file, API, data, dependency, architecture)
Phase 2.5: Clarification (15%)
| Surface ambiguous dependencies, BLOCK until resolved
Phase 3: Conflict Resolution (20%)
| Apply ordering rules, update DAG
Phase 4: Ordering & Grouping (25%)
| Topological sort, assign parallel/sequential groups
```
---
## 2. Processing Logic
### 2.1 Dependency Graph
**Build DAG from solutions**:
1. Create node for each solution with `inDegree: 0` and `outEdges: []`
2. Build file→solutions mapping from `files_touched`
3. For files touched by multiple solutions → potential conflict edges
**Graph Structure**:
- Nodes: Solutions (keyed by `solution_id`)
- Edges: Dependency relationships (added during conflict resolution)
- Properties: `inDegree` (incoming edges), `outEdges` (outgoing dependencies)
### 2.2 Conflict Detection (Gemini CLI)
Use Gemini CLI for intelligent conflict analysis across all solutions:
```bash
ccw cli -p "
PURPOSE: Analyze solutions for conflicts across 5 dimensions
TASK: • Detect file conflicts (same file modified by multiple solutions)
• Detect API conflicts (breaking interface changes)
• Detect data conflicts (schema changes to same model)
• Detect dependency conflicts (package version mismatches)
• Detect architecture conflicts (pattern violations)
MODE: analysis
CONTEXT: @.workflow/issues/solutions/**/*.jsonl | Solution data: \${SOLUTIONS_JSON}
EXPECTED: JSON array of conflicts with type, severity, solutions, recommended_order
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | Severity: high (API/data) > medium (file/dependency) > low (architecture)
" --tool gemini --mode analysis --cd .workflow/issues
```
**Placeholder**: `${SOLUTIONS_JSON}` = serialized solutions array from bound issues
**Conflict Types & Severity**:
| Type | Severity | Trigger |
|------|----------|---------|
| `file_conflict` | medium | Multiple solutions modify same file |
| `api_conflict` | high | Breaking interface changes |
| `data_conflict` | high | Schema changes to same model |
| `dependency_conflict` | medium | Package version mismatches |
| `architecture_conflict` | low | Pattern violations |
**Output per conflict**:
```json
{ "type": "...", "severity": "...", "solutions": [...], "recommended_order": [...], "rationale": "..." }
```
### 2.2.5 Clarification (BLOCKING)
**Purpose**: Surface ambiguous dependencies for user/system clarification
**Trigger Conditions**:
- High severity conflicts without `recommended_order` from Gemini analysis
- Circular dependencies detected
- Multiple valid resolution strategies
**Clarification Generation**:
For each unresolved high-severity conflict:
1. Generate conflict ID: `CFT-{N}`
2. Build question: `"{type}: Which solution should execute first?"`
3. List options with solution summaries (issue title + task count)
4. Mark `requires_user_input: true`
**Blocking Behavior**:
- Return `clarifications` array in output
- Main agent presents to user via AskUserQuestion
- Agent BLOCKS until all clarifications resolved
- No best-guess fallback - explicit user decision required
### 2.3 Resolution Rules
| Priority | Rule | Example |
|----------|------|---------|
| 1 | Higher issue priority first | critical > high > medium > low |
| 2 | Foundation solutions first | Solutions with fewer dependencies |
| 3 | More tasks = higher priority | Solutions with larger impact |
| 4 | Create before extend | S1:Creates module -> S2:Extends it |
### 2.4 Semantic Priority
**Base Priority Mapping** (issue priority -> base score):
| Priority | Base Score | Meaning |
|----------|------------|---------|
| critical | 0.9 | Highest |
| high | 0.7 | High |
| medium | 0.5 | Medium |
| low | 0.3 | Low |
**Task-count Boost** (applied to base score):
| Factor | Boost |
|--------|-------|
| task_count >= 5 | +0.1 |
| task_count >= 3 | +0.05 |
| Foundation scope | +0.1 |
| Fewer dependencies | +0.05 |
**Formula**: `semantic_priority = clamp(baseScore + sum(boosts), 0.0, 1.0)`
### 2.5 Group Assignment
- **Parallel (P*)**: Solutions with no file overlaps between them
- **Sequential (S*)**: Solutions that share files must run in order
---
## 3. Output Requirements
### 3.1 Generate Files (Primary)
**Queue files**:
```
.workflow/issues/queues/{queue-id}.json # Full queue with solutions, conflicts, groups
.workflow/issues/queues/index.json # Update with new queue entry
```
Queue ID: Use the Queue ID provided in prompt (do NOT generate new one)
Queue Item ID format: `S-N` (S-1, S-2, S-3, ...)
### 3.2 Queue File Schema
```json
{
"id": "QUE-20251227-143000",
"status": "active",
"solutions": [
{
"item_id": "S-1",
"issue_id": "ISS-20251227-003",
"solution_id": "SOL-ISS-20251227-003-1",
"status": "pending",
"execution_order": 1,
"execution_group": "P1",
"depends_on": [],
"semantic_priority": 0.8,
"files_touched": ["src/auth.ts", "src/utils.ts"],
"task_count": 3
}
],
"conflicts": [
{
"type": "file_conflict",
"file": "src/auth.ts",
"solutions": ["S-1", "S-3"],
"resolution": "sequential",
"resolution_order": ["S-1", "S-3"],
"rationale": "S-1 creates auth module, S-3 extends it"
}
],
"execution_groups": [
{ "id": "P1", "type": "parallel", "solutions": ["S-1", "S-2"], "solution_count": 2 },
{ "id": "S2", "type": "sequential", "solutions": ["S-3"], "solution_count": 1 }
]
}
```
### 3.3 Return Summary (Brief)
Return brief summaries; full conflict details in separate files:
```json
{
"queue_id": "QUE-20251227-143000",
"total_solutions": N,
"total_tasks": N,
"execution_groups": [{ "id": "P1", "type": "parallel", "count": N }],
"conflicts_summary": [{
"id": "CFT-001",
"type": "api_conflict",
"severity": "high",
"summary": "Brief 1-line description",
"resolution": "sequential",
"details_path": ".workflow/issues/conflicts/CFT-001.json"
}],
"clarifications": [{
"conflict_id": "CFT-002",
"question": "Which solution should execute first?",
"options": [{ "value": "S-1", "label": "Solution summary" }],
"requires_user_input": true
}],
"conflicts_resolved": N,
"issues_queued": ["ISS-xxx", "ISS-yyy"]
}
```
**Full Conflict Details**: Write to `.workflow/issues/conflicts/{conflict-id}.json`
---
## 4. Quality Standards
### 4.1 Validation Checklist
- [ ] No circular dependencies between solutions
- [ ] All file conflicts resolved
- [ ] Solutions in same parallel group have NO file overlaps
- [ ] Semantic priority calculated for all solutions
- [ ] Dependencies ordered correctly
### 4.2 Error Handling
| Scenario | Action |
|----------|--------|
| Circular dependency | Abort, report cycles |
| Resolution creates cycle | Flag for manual resolution |
| Missing solution reference | Skip and warn |
| Empty solution list | Return empty queue |
### 4.3 Guidelines
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**ALWAYS**:
1. **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
2. Build dependency graph before ordering
2. Detect file overlaps between solutions
3. Apply resolution rules consistently
4. Calculate semantic priority for all solutions
5. Include rationale for conflict resolutions
6. Validate ordering before output
**NEVER**:
1. Execute solutions (ordering only)
2. Ignore circular dependencies
3. Skip conflict detection
4. Output invalid DAG
5. Merge conflicting solutions in parallel group
6. Split tasks from their solution
**WRITE** (exactly 2 files):
- `.workflow/issues/queues/{Queue ID}.json` - Full queue with solutions, groups
- `.workflow/issues/queues/index.json` - Update with new queue entry
- Use Queue ID from prompt, do NOT generate new one
**RETURN** (summary + unresolved conflicts):
```json
{
"queue_id": "QUE-xxx",
"total_solutions": N,
"total_tasks": N,
"execution_groups": [{"id": "P1", "type": "parallel", "count": N}],
"issues_queued": ["ISS-xxx"],
"clarifications": [{"conflict_id": "CFT-1", "question": "...", "options": [...]}]
}
```
- `clarifications`: Only present if unresolved high-severity conflicts exist
- No markdown, no prose - PURE JSON only

View File

@@ -75,6 +75,8 @@ Examples:
## Execution Rules
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
1. **Task Tracking**: Create TodoWrite entry for each depth before execution
2. **Parallelism**: Max 4 jobs per depth, sequential across depths
3. **Strategy Assignment**: Assign strategy based on depth:

View File

@@ -28,6 +28,8 @@ You are a test context discovery specialist focused on gathering test coverage i
## Tool Arsenal
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
### 1. Session & Implementation Context
**Tools**:
- `Read()` - Load session metadata and implementation summaries
@@ -36,10 +38,10 @@ 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 +122,10 @@ 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

View File

@@ -59,6 +59,14 @@ When task JSON contains `flow_control` field, execute preparation and implementa
2. **Variable Substitution**: Use `[variable_name]` to reference previous outputs
3. **Error Handling**: Follow step-specific strategies (`skip_optional`, `fail`, `retry_once`)
**Command-to-Tool Mapping** (for pre_analysis commands):
```
"Read(path)" → Read tool: Read(file_path=path)
"bash(command)" → Bash tool: Bash(command=command)
"Search(pattern,path)" → Grep tool: Grep(pattern=pattern, path=path)
"Glob(pattern)" → Glob tool: Glob(pattern=pattern)
```
**Implementation Approach** (`flow_control.implementation_approach`):
When task JSON contains implementation_approach array:
1. **Sequential Execution**: Process steps in order, respecting `depends_on` dependencies
@@ -73,6 +81,12 @@ When task JSON contains implementation_approach array:
- `command`: Optional CLI command (only when explicitly specified)
- `depends_on`: Array of step numbers that must complete first
- `output`: Variable name for this step's output
5. **Execution Mode Selection**:
- IF `command` field exists → Execute CLI command via Bash tool
- ELSE (no command) → Agent direct execution:
- Parse `modification_points` as files to modify
- Follow `logic_flow` for test-fix iteration
- Use test_commands from flow_control for test execution
### 1. Context Assessment & Test Discovery
@@ -83,17 +97,18 @@ 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/"
@@ -317,6 +332,7 @@ When generating test results for orchestrator (saved to `.process/test-results.j
## Important Reminders
**ALWAYS:**
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- **Execute tests first** - Understand what's failing before fixing
- **Diagnose thoroughly** - Find root cause, not just symptoms
- **Fix minimally** - Change only what's needed to pass tests

View File

@@ -284,6 +284,8 @@ You execute 6 distinct task types organized into 3 patterns. Each task includes
### ALWAYS
**Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
**W3C Format Compliance**: ✅ Include $schema in all token files | ✅ Use $type metadata for all tokens | ✅ Use $value wrapper for color (light/dark), duration, easing | ✅ Validate token structure against W3C spec
**Pattern Recognition**: ✅ Identify pattern from [TASK_TYPE_IDENTIFIER] first | ✅ Apply pattern-specific execution rules | ✅ Follow autonomy level

View File

@@ -120,7 +120,11 @@ Before completing any task, verify:
- Make assumptions - verify with existing materials
- Skip quality verification steps
**Bash Tool**:
- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
**ALWAYS:**
- **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
- Verify resource/dependency existence before referencing
- Execute tasks systematically and incrementally
- Test and validate work thoroughly

18
.claude/cli-settings.json Normal file
View File

@@ -0,0 +1,18 @@
{
"version": "1.0.0",
"defaultTool": "gemini",
"promptFormat": "plain",
"smartContext": {
"enabled": false,
"maxFiles": 10
},
"nativeResume": true,
"recursiveQuery": true,
"cache": {
"injectionMode": "auto",
"defaultPrefix": "",
"defaultSuffix": ""
},
"codeIndexMcp": "ace",
"$schema": "./cli-settings.schema.json"
}

View File

@@ -0,0 +1,764 @@
---
name: issue:discover-by-prompt
description: Discover issues from user prompt with Gemini-planned iterative multi-agent exploration. Uses ACE semantic search for context gathering and supports cross-module comparison (e.g., frontend vs backend API contracts).
argument-hint: "<prompt> [--scope=src/**] [--depth=standard|deep] [--max-iterations=5]"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Task(*), AskUserQuestion(*), Glob(*), Grep(*), mcp__ace-tool__search_context(*), mcp__exa__search(*)
---
# Issue Discovery by Prompt
## Quick Start
```bash
# Discover issues based on user description
/issue:discover-by-prompt "Check if frontend API calls match backend implementations"
# Compare specific modules
/issue:discover-by-prompt "Verify auth flow consistency between mobile and web clients" --scope=src/auth/**,src/mobile/**
# Deep exploration with more iterations
/issue:discover-by-prompt "Find all places where error handling is inconsistent" --depth=deep --max-iterations=8
# Focused backend-frontend contract check
/issue:discover-by-prompt "Compare REST API definitions with frontend fetch calls"
```
**Core Difference from `/issue:discover`**:
- `discover`: Pre-defined perspectives (bug, security, etc.), parallel execution
- `discover-by-prompt`: User-driven prompt, Gemini-planned strategy, iterative exploration
## What & Why
### Core Concept
Prompt-driven issue discovery with intelligent planning. Instead of fixed perspectives, this command:
1. **Analyzes user intent** via Gemini to understand what to find
2. **Plans exploration strategy** dynamically based on codebase structure
3. **Executes iterative multi-agent exploration** with feedback loops
4. **Performs cross-module comparison** when detecting comparison intent
### Value Proposition
1. **Natural Language Input**: Describe what you want to find, not how to find it
2. **Intelligent Planning**: Gemini designs optimal exploration strategy
3. **Iterative Refinement**: Each round builds on previous discoveries
4. **Cross-Module Analysis**: Compare frontend/backend, mobile/web, old/new implementations
5. **Adaptive Exploration**: Adjusts direction based on findings
### Use Cases
| Scenario | Example Prompt |
|----------|----------------|
| API Contract | "Check if frontend calls match backend endpoints" |
| Error Handling | "Find inconsistent error handling patterns" |
| Migration Gap | "Compare old auth with new auth implementation" |
| Feature Parity | "Verify mobile has all web features" |
| Schema Drift | "Check if TypeScript types match API responses" |
| Integration | "Find mismatches between service A and service B" |
## How It Works
### Execution Flow
```
Phase 1: Prompt Analysis & Initialization
├─ Parse user prompt and flags
├─ Detect exploration intent (comparison/search/verification)
└─ Initialize discovery session
Phase 1.5: ACE Context Gathering
├─ Use ACE semantic search to understand codebase structure
├─ Identify relevant modules based on prompt keywords
├─ Collect architecture context for Gemini planning
└─ Build initial context package
Phase 2: Gemini Strategy Planning
├─ Feed ACE context + prompt to Gemini CLI
├─ Gemini analyzes and generates exploration strategy
├─ Create exploration dimensions with search targets
├─ Define comparison matrix (if comparison intent)
└─ Set success criteria and iteration limits
Phase 3: Iterative Agent Exploration (with ACE)
├─ Iteration 1: Initial exploration by assigned agents
│ ├─ Agent A: ACE search + explore dimension 1
│ ├─ Agent B: ACE search + explore dimension 2
│ └─ Collect findings, update shared context
├─ Iteration 2-N: Refined exploration
│ ├─ Analyze previous findings
│ ├─ ACE search for related code paths
│ ├─ Execute targeted exploration
│ └─ Update cumulative findings
└─ Termination: Max iterations or convergence
Phase 4: Cross-Analysis & Synthesis
├─ Compare findings across dimensions
├─ Identify discrepancies and issues
├─ Calculate confidence scores
└─ Generate issue candidates
Phase 5: Issue Generation & Summary
├─ Convert findings to issue format
├─ Write discovery outputs
└─ Prompt user for next action
```
### Exploration Dimensions
Dimensions are **dynamically generated by Gemini** based on the user prompt. Not limited to predefined categories.
**Examples**:
| Prompt | Generated Dimensions |
|--------|---------------------|
| "Check API contracts" | frontend-calls, backend-handlers |
| "Find auth issues" | auth-module (single dimension) |
| "Compare old/new implementations" | legacy-code, new-code |
| "Audit payment flow" | payment-service, validation, logging |
| "Find error handling gaps" | error-handlers, error-types, recovery-logic |
Gemini analyzes the prompt + ACE context to determine:
- How many dimensions are needed (1 to N)
- What each dimension should focus on
- Whether comparison is needed between dimensions
### Iteration Strategy
```
┌─────────────────────────────────────────────────────────────┐
│ Iteration Loop │
├─────────────────────────────────────────────────────────────┤
│ 1. Plan: What to explore this iteration │
│ └─ Based on: previous findings + unexplored areas │
│ │
│ 2. Execute: Launch agents for this iteration │
│ └─ Each agent: explore → collect → return summary │
│ │
│ 3. Analyze: Process iteration results │
│ └─ New findings? Gaps? Contradictions? │
│ │
│ 4. Decide: Continue or terminate │
│ └─ Terminate if: max iterations OR convergence OR │
│ high confidence on all questions │
└─────────────────────────────────────────────────────────────┘
```
## Core Responsibilities
### Phase 1: Prompt Analysis & Initialization
```javascript
// Step 1: Parse arguments
const { prompt, scope, depth, maxIterations } = parseArgs(args);
// Step 2: Generate discovery ID
const discoveryId = `DBP-${formatDate(new Date(), 'YYYYMMDD-HHmmss')}`;
// Step 3: Create output directory
const outputDir = `.workflow/issues/discoveries/${discoveryId}`;
await mkdir(outputDir, { recursive: true });
await mkdir(`${outputDir}/iterations`, { recursive: true });
// Step 4: Detect intent type from prompt
const intentType = detectIntent(prompt);
// Returns: 'comparison' | 'search' | 'verification' | 'audit'
// Step 5: Initialize discovery state
await writeJson(`${outputDir}/discovery-state.json`, {
discovery_id: discoveryId,
type: 'prompt-driven',
prompt: prompt,
intent_type: intentType,
scope: scope || '**/*',
depth: depth || 'standard',
max_iterations: maxIterations || 5,
phase: 'initialization',
created_at: new Date().toISOString(),
iterations: [],
cumulative_findings: [],
comparison_matrix: null // filled for comparison intent
});
```
### Phase 1.5: ACE Context Gathering
**Purpose**: Use ACE semantic search to gather codebase context before Gemini planning.
```javascript
// Step 1: Extract keywords from prompt for semantic search
const keywords = extractKeywords(prompt);
// e.g., "frontend API calls match backend" → ["frontend", "API", "backend", "endpoints"]
// Step 2: Use ACE to understand codebase structure
const aceQueries = [
`Project architecture and module structure for ${keywords.join(', ')}`,
`Where are ${keywords[0]} implementations located?`,
`How does ${keywords.slice(0, 2).join(' ')} work in this codebase?`
];
const aceResults = [];
for (const query of aceQueries) {
const result = await mcp__ace-tool__search_context({
project_root_path: process.cwd(),
query: query
});
aceResults.push({ query, result });
}
// Step 3: Build context package for Gemini (kept in memory)
const aceContext = {
prompt_keywords: keywords,
codebase_structure: aceResults[0].result,
relevant_modules: aceResults.slice(1).map(r => r.result),
detected_patterns: extractPatterns(aceResults)
};
// Step 4: Update state (no separate file)
await updateDiscoveryState(outputDir, {
phase: 'context-gathered',
ace_context: {
queries_executed: aceQueries.length,
modules_identified: aceContext.relevant_modules.length
}
});
// aceContext passed to Phase 2 in memory
```
**ACE Query Strategy by Intent Type**:
| Intent | ACE Queries |
|--------|-------------|
| **comparison** | "frontend API calls", "backend API handlers", "API contract definitions" |
| **search** | "{keyword} implementations", "{keyword} usage patterns" |
| **verification** | "expected behavior for {feature}", "test coverage for {feature}" |
| **audit** | "all {category} patterns", "{category} security concerns" |
### Phase 2: Gemini Strategy Planning
**Purpose**: Gemini analyzes user prompt + ACE context to design optimal exploration strategy.
```javascript
// Step 1: Load ACE context gathered in Phase 1.5
const aceContext = await readJson(`${outputDir}/ace-context.json`);
// Step 2: Build Gemini planning prompt with ACE context
const planningPrompt = `
PURPOSE: Analyze discovery prompt and create exploration strategy based on codebase context
TASK:
• Parse user intent from prompt: "${prompt}"
• Use codebase context to identify specific modules and files to explore
• Create exploration dimensions with precise search targets
• Define comparison matrix structure (if comparison intent)
• Set success criteria and iteration strategy
MODE: analysis
CONTEXT: @${scope || '**/*'} | Discovery type: ${intentType}
## Codebase Context (from ACE semantic search)
${JSON.stringify(aceContext, null, 2)}
EXPECTED: JSON exploration plan following exploration-plan-schema.json:
{
"intent_analysis": { "type": "${intentType}", "primary_question": "...", "sub_questions": [...] },
"dimensions": [{ "name": "...", "description": "...", "search_targets": [...], "focus_areas": [...], "agent_prompt": "..." }],
"comparison_matrix": { "dimension_a": "...", "dimension_b": "...", "comparison_points": [...] },
"success_criteria": [...],
"estimated_iterations": N,
"termination_conditions": [...]
}
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | Use ACE context to inform targets | Focus on actionable plan
`;
// Step 3: Execute Gemini planning
Bash({
command: `ccw cli -p "${planningPrompt}" --tool gemini --mode analysis`,
run_in_background: true,
timeout: 300000
});
// Step 4: Parse Gemini output and validate against schema
const explorationPlan = await parseGeminiPlanOutput(geminiResult);
validateAgainstSchema(explorationPlan, 'exploration-plan-schema.json');
// Step 5: Enhance plan with ACE-discovered file paths
explorationPlan.dimensions = explorationPlan.dimensions.map(dim => ({
...dim,
ace_suggested_files: aceContext.relevant_modules
.filter(m => m.relevance_to === dim.name)
.map(m => m.file_path)
}));
// Step 6: Update state (plan kept in memory, not persisted)
await updateDiscoveryState(outputDir, {
phase: 'planned',
exploration_plan: {
dimensions_count: explorationPlan.dimensions.length,
has_comparison_matrix: !!explorationPlan.comparison_matrix,
estimated_iterations: explorationPlan.estimated_iterations
}
});
// explorationPlan passed to Phase 3 in memory
```
**Gemini Planning Responsibilities**:
| Responsibility | Input | Output |
|----------------|-------|--------|
| Intent Analysis | User prompt | type, primary_question, sub_questions |
| Dimension Design | ACE context + prompt | dimensions with search_targets |
| Comparison Matrix | Intent type + modules | comparison_points (if applicable) |
| Iteration Strategy | Depth setting | estimated_iterations, termination_conditions |
**Gemini Planning Output Schema**:
```json
{
"intent_analysis": {
"type": "comparison|search|verification|audit",
"primary_question": "string",
"sub_questions": ["string"]
},
"dimensions": [
{
"name": "frontend",
"description": "Client-side API calls and error handling",
"search_targets": ["src/api/**", "src/hooks/**"],
"focus_areas": ["fetch calls", "error boundaries", "response parsing"],
"agent_prompt": "Explore frontend API consumption patterns..."
},
{
"name": "backend",
"description": "Server-side API implementations",
"search_targets": ["src/server/**", "src/routes/**"],
"focus_areas": ["endpoint handlers", "response schemas", "error responses"],
"agent_prompt": "Explore backend API implementations..."
}
],
"comparison_matrix": {
"dimension_a": "frontend",
"dimension_b": "backend",
"comparison_points": [
{"aspect": "endpoints", "frontend_check": "fetch URLs", "backend_check": "route paths"},
{"aspect": "methods", "frontend_check": "HTTP methods used", "backend_check": "methods accepted"},
{"aspect": "payloads", "frontend_check": "request body structure", "backend_check": "expected schema"},
{"aspect": "responses", "frontend_check": "response parsing", "backend_check": "response format"},
{"aspect": "errors", "frontend_check": "error handling", "backend_check": "error responses"}
]
},
"success_criteria": [
"All API endpoints mapped between frontend and backend",
"Discrepancies identified with file:line references",
"Each finding includes remediation suggestion"
],
"estimated_iterations": 3,
"termination_conditions": [
"All comparison points verified",
"No new findings in last iteration",
"Confidence > 0.8 on primary question"
]
}
```
### Phase 3: Iterative Agent Exploration (with ACE)
**Purpose**: Multi-agent iterative exploration using ACE for semantic search within each iteration.
```javascript
let iteration = 0;
let cumulativeFindings = [];
let sharedContext = { aceDiscoveries: [], crossReferences: [] };
let shouldContinue = true;
while (shouldContinue && iteration < maxIterations) {
iteration++;
const iterationDir = `${outputDir}/iterations/${iteration}`;
await mkdir(iterationDir, { recursive: true });
// Step 1: ACE-assisted iteration planning
// Use previous findings to guide ACE queries for this iteration
const iterationAceQueries = iteration === 1
? explorationPlan.dimensions.map(d => d.focus_areas[0]) // Initial queries from plan
: deriveQueriesFromFindings(cumulativeFindings); // Follow-up queries from findings
// Execute ACE searches to find related code
const iterationAceResults = [];
for (const query of iterationAceQueries) {
const result = await mcp__ace-tool__search_context({
project_root_path: process.cwd(),
query: `${query} in ${explorationPlan.scope}`
});
iterationAceResults.push({ query, result });
}
// Update shared context with ACE discoveries
sharedContext.aceDiscoveries.push(...iterationAceResults);
// Step 2: Plan this iteration based on ACE results
const iterationPlan = planIteration(iteration, explorationPlan, cumulativeFindings, iterationAceResults);
// Step 3: Launch dimension agents with ACE context
const agentPromises = iterationPlan.dimensions.map(dimension =>
Task({
subagent_type: "cli-explore-agent",
run_in_background: false,
description: `Explore ${dimension.name} (iteration ${iteration})`,
prompt: buildDimensionPromptWithACE(dimension, iteration, cumulativeFindings, iterationAceResults, iterationDir)
})
);
// Wait for iteration agents
const iterationResults = await Promise.all(agentPromises);
// Step 4: Collect and analyze iteration findings
const iterationFindings = await collectIterationFindings(iterationDir, iterationPlan.dimensions);
// Step 5: Cross-reference findings between dimensions
if (iterationPlan.dimensions.length > 1) {
const crossRefs = findCrossReferences(iterationFindings, iterationPlan.dimensions);
sharedContext.crossReferences.push(...crossRefs);
}
cumulativeFindings.push(...iterationFindings);
// Step 6: Decide whether to continue
const convergenceCheck = checkConvergence(iterationFindings, cumulativeFindings, explorationPlan);
shouldContinue = !convergenceCheck.converged;
// Step 7: Update state (iteration summary embedded in state)
await updateDiscoveryState(outputDir, {
iterations: [...state.iterations, {
number: iteration,
findings_count: iterationFindings.length,
ace_queries: iterationAceQueries.length,
cross_references: sharedContext.crossReferences.length,
new_discoveries: convergenceCheck.newDiscoveries,
confidence: convergenceCheck.confidence,
continued: shouldContinue
}],
cumulative_findings: cumulativeFindings
});
}
```
**ACE in Iteration Loop**:
```
Iteration N
├─→ ACE Search (based on previous findings)
│ └─ Query: "related code paths for {finding.category}"
│ └─ Result: Additional files to explore
├─→ Agent Exploration (with ACE context)
│ └─ Agent receives: dimension targets + ACE suggestions
│ └─ Agent can call ACE for deeper search
├─→ Cross-Reference Analysis
│ └─ Compare findings between dimensions
│ └─ Identify discrepancies
└─→ Convergence Check
└─ New findings? Continue
└─ No new findings? Terminate
```
**Dimension Agent Prompt Template (with ACE)**:
```javascript
function buildDimensionPromptWithACE(dimension, iteration, previousFindings, aceResults, outputDir) {
// Filter ACE results relevant to this dimension
const relevantAceResults = aceResults.filter(r =>
r.query.includes(dimension.name) || dimension.focus_areas.some(fa => r.query.includes(fa))
);
return `
## Task Objective
Explore ${dimension.name} dimension for issue discovery (Iteration ${iteration})
## Context
- Dimension: ${dimension.name}
- Description: ${dimension.description}
- Search Targets: ${dimension.search_targets.join(', ')}
- Focus Areas: ${dimension.focus_areas.join(', ')}
## ACE Semantic Search Results (Pre-gathered)
The following files/code sections were identified by ACE as relevant to this dimension:
${JSON.stringify(relevantAceResults.map(r => ({ query: r.query, files: r.result.slice(0, 5) })), null, 2)}
**Use ACE for deeper exploration**: You have access to mcp__ace-tool__search_context.
When you find something interesting, use ACE to find related code:
- mcp__ace-tool__search_context({ project_root_path: ".", query: "related to {finding}" })
${iteration > 1 ? `
## Previous Findings to Build Upon
${summarizePreviousFindings(previousFindings, dimension.name)}
## This Iteration Focus
- Explore areas not yet covered (check ACE results for new files)
- Verify/deepen previous findings
- Follow leads from previous discoveries
- Use ACE to find cross-references between dimensions
` : ''}
## MANDATORY FIRST STEPS
1. Read exploration plan: ${outputDir}/../exploration-plan.json
2. Read schema: ~/.claude/workflows/cli-templates/schemas/discovery-finding-schema.json
3. Review ACE results above for starting points
4. Explore files identified by ACE
## Exploration Instructions
${dimension.agent_prompt}
## ACE Usage Guidelines
- Use ACE when you need to find:
- Where a function/class is used
- Related implementations in other modules
- Cross-module dependencies
- Similar patterns elsewhere in codebase
- Query format: Natural language, be specific
- Example: "Where is UserService.authenticate called from?"
## Output Requirements
**1. Write JSON file**: ${outputDir}/${dimension.name}.json
Follow discovery-finding-schema.json:
- findings: [{id, title, category, description, file, line, snippet, confidence, related_dimension}]
- coverage: {files_explored, areas_covered, areas_remaining}
- leads: [{description, suggested_search}] // for next iteration
- ace_queries_used: [{query, result_count}] // track ACE usage
**2. Return summary**:
- Total findings this iteration
- Key discoveries
- ACE queries that revealed important code
- Recommended next exploration areas
## Success Criteria
- [ ] JSON written to ${outputDir}/${dimension.name}.json
- [ ] Each finding has file:line reference
- [ ] ACE used for cross-references where applicable
- [ ] Coverage report included
- [ ] Leads for next iteration identified
`;
}
```
### Phase 4: Cross-Analysis & Synthesis
```javascript
// For comparison intent, perform cross-analysis
if (intentType === 'comparison' && explorationPlan.comparison_matrix) {
const comparisonResults = [];
for (const point of explorationPlan.comparison_matrix.comparison_points) {
const dimensionAFindings = cumulativeFindings.filter(f =>
f.related_dimension === explorationPlan.comparison_matrix.dimension_a &&
f.category.includes(point.aspect)
);
const dimensionBFindings = cumulativeFindings.filter(f =>
f.related_dimension === explorationPlan.comparison_matrix.dimension_b &&
f.category.includes(point.aspect)
);
// Compare and find discrepancies
const discrepancies = findDiscrepancies(dimensionAFindings, dimensionBFindings, point);
comparisonResults.push({
aspect: point.aspect,
dimension_a_count: dimensionAFindings.length,
dimension_b_count: dimensionBFindings.length,
discrepancies: discrepancies,
match_rate: calculateMatchRate(dimensionAFindings, dimensionBFindings)
});
}
// Write comparison analysis
await writeJson(`${outputDir}/comparison-analysis.json`, {
matrix: explorationPlan.comparison_matrix,
results: comparisonResults,
summary: {
total_discrepancies: comparisonResults.reduce((sum, r) => sum + r.discrepancies.length, 0),
overall_match_rate: average(comparisonResults.map(r => r.match_rate)),
critical_mismatches: comparisonResults.filter(r => r.match_rate < 0.5)
}
});
}
// Prioritize all findings
const prioritizedFindings = prioritizeFindings(cumulativeFindings, explorationPlan);
```
### Phase 5: Issue Generation & Summary
```javascript
// Convert high-confidence findings to issues
const issueWorthy = prioritizedFindings.filter(f =>
f.confidence >= 0.7 || f.priority === 'critical' || f.priority === 'high'
);
const issues = issueWorthy.map(finding => ({
id: `ISS-${discoveryId}-${finding.id}`,
title: finding.title,
description: finding.description,
source: {
discovery_id: discoveryId,
finding_id: finding.id,
dimension: finding.related_dimension
},
file: finding.file,
line: finding.line,
priority: finding.priority,
category: finding.category,
suggested_fix: finding.suggested_fix,
confidence: finding.confidence,
status: 'discovered',
created_at: new Date().toISOString()
}));
// Write issues
await writeJsonl(`${outputDir}/discovery-issues.jsonl`, issues);
// Update final state (summary embedded in state, no separate file)
await updateDiscoveryState(outputDir, {
phase: 'complete',
updated_at: new Date().toISOString(),
results: {
total_iterations: iteration,
total_findings: cumulativeFindings.length,
issues_generated: issues.length,
comparison_match_rate: comparisonResults
? average(comparisonResults.map(r => r.match_rate))
: null
}
});
// Prompt user for next action
await AskUserQuestion({
questions: [{
question: `Discovery complete: ${issues.length} issues from ${cumulativeFindings.length} findings across ${iteration} iterations. What next?`,
header: "Next Step",
multiSelect: false,
options: [
{ label: "Export to Issues (Recommended)", description: `Export ${issues.length} issues for planning` },
{ label: "Review Details", description: "View comparison analysis and iteration details" },
{ label: "Run Deeper", description: "Continue with more iterations" },
{ label: "Skip", description: "Complete without exporting" }
]
}]
});
```
## Output File Structure
```
.workflow/issues/discoveries/
└── {DBP-YYYYMMDD-HHmmss}/
├── discovery-state.json # Session state with iteration tracking
├── iterations/
│ ├── 1/
│ │ └── {dimension}.json # Dimension findings
│ ├── 2/
│ │ └── {dimension}.json
│ └── ...
├── comparison-analysis.json # Cross-dimension comparison (if applicable)
└── discovery-issues.jsonl # Generated issue candidates
```
**Simplified Design**:
- ACE context and Gemini plan kept in memory, not persisted
- Iteration summaries embedded in state
- No separate summary.md (state.json contains all needed info)
## Schema References
| Schema | Path | Used By |
|--------|------|---------|
| **Discovery State** | `discovery-state-schema.json` | Orchestrator (state tracking) |
| **Discovery Finding** | `discovery-finding-schema.json` | Dimension agents (output) |
| **Exploration Plan** | `exploration-plan-schema.json` | Gemini output validation (memory only) |
## Configuration Options
| Flag | Default | Description |
|------|---------|-------------|
| `--scope` | `**/*` | File pattern to explore |
| `--depth` | `standard` | `standard` (3 iterations) or `deep` (5+ iterations) |
| `--max-iterations` | 5 | Maximum exploration iterations |
| `--tool` | `gemini` | Planning tool (gemini/qwen) |
| `--plan-only` | `false` | Stop after Phase 2 (Gemini planning), show plan for user review |
## Examples
### Example 1: Single Module Deep Dive
```bash
/issue:discover-by-prompt "Find all potential issues in the auth module" --scope=src/auth/**
```
**Gemini plans** (single dimension):
- Dimension: auth-module
- Focus: security vulnerabilities, edge cases, error handling, test gaps
**Iterations**: 2-3 (until no new findings)
### Example 2: API Contract Comparison
```bash
/issue:discover-by-prompt "Check if API calls match implementations" --scope=src/**
```
**Gemini plans** (comparison):
- Dimension 1: api-consumers (fetch calls, hooks, services)
- Dimension 2: api-providers (handlers, routes, controllers)
- Comparison matrix: endpoints, methods, payloads, responses
### Example 3: Multi-Module Audit
```bash
/issue:discover-by-prompt "Audit the payment flow for issues" --scope=src/payment/**
```
**Gemini plans** (multi-dimension):
- Dimension 1: payment-logic (calculations, state transitions)
- Dimension 2: validation (input checks, business rules)
- Dimension 3: error-handling (failure modes, recovery)
### Example 4: Plan Only Mode
```bash
/issue:discover-by-prompt "Find inconsistent patterns" --plan-only
```
Stops after Gemini planning, outputs:
```
Gemini Plan:
- Intent: search
- Dimensions: 2 (pattern-definitions, pattern-usages)
- Estimated iterations: 3
Continue with exploration? [Y/n]
```
## Related Commands
```bash
# After discovery, plan solutions
/issue:plan DBP-001-01,DBP-001-02
# View all discoveries
/issue:manage
# Standard perspective-based discovery
/issue:discover src/auth/** --perspectives=security,bug
```
## Best Practices
1. **Be Specific in Prompts**: More specific prompts lead to better Gemini planning
2. **Scope Appropriately**: Narrow scope for focused comparison, wider for audits
3. **Review Exploration Plan**: Check `exploration-plan.json` before long explorations
4. **Use Standard Depth First**: Start with standard, go deep only if needed
5. **Combine with `/issue:discover`**: Use prompt-based for comparisons, perspective-based for audits

View File

@@ -0,0 +1,468 @@
---
name: issue:discover
description: Discover potential issues from multiple perspectives (bug, UX, test, quality, security, performance, maintainability, best-practices) using CLI explore. Supports Exa external research for security and best-practices perspectives.
argument-hint: "<path-pattern> [--perspectives=bug,ux,...] [--external]"
allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*), Task(*), AskUserQuestion(*), Glob(*), Grep(*)
---
# Issue Discovery Command
## Quick Start
```bash
# Discover issues in specific module (interactive perspective selection)
/issue:discover src/auth/**
# Discover with specific perspectives
/issue:discover src/payment/** --perspectives=bug,security,test
# Discover with external research for all perspectives
/issue:discover src/api/** --external
# Discover in multiple modules
/issue:discover src/auth/**,src/payment/**
```
**Discovery Scope**: Specified modules/files only
**Output Directory**: `.workflow/issues/discoveries/{discovery-id}/`
**Available Perspectives**: bug, ux, test, quality, security, performance, maintainability, best-practices
**Exa Integration**: Auto-enabled for security and best-practices perspectives
**CLI Tools**: Gemini → Qwen → Codex (fallback chain)
## What & Why
### Core Concept
Multi-perspective issue discovery orchestrator that explores code from different angles to identify potential bugs, UX improvements, test gaps, and other actionable items. Unlike code review (which assesses existing code quality), discovery focuses on **finding opportunities for improvement and potential problems**.
**vs Code Review**:
- **Code Review** (`review-module-cycle`): Evaluates code quality against standards
- **Issue Discovery** (`issue:discover`): Finds actionable issues, bugs, and improvement opportunities
### Value Proposition
1. **Proactive Issue Detection**: Find problems before they become bugs
2. **Multi-Perspective Analysis**: Each perspective surfaces different types of issues
3. **External Benchmarking**: Compare against industry best practices via Exa
4. **Direct Issue Integration**: Discoveries can be exported to issue tracker
5. **Dashboard Management**: View, filter, and export discoveries via CCW dashboard
## How It Works
### Execution Flow
```
Phase 1: Discovery & Initialization
└─ Parse target pattern, create session, initialize output structure
Phase 2: Interactive Perspective Selection
└─ AskUserQuestion for perspective selection (or use --perspectives)
Phase 3: Parallel Perspective Analysis
├─ Launch N @cli-explore-agent instances (one per perspective)
├─ Security & Best-Practices auto-trigger Exa research
├─ Agent writes perspective JSON, returns summary
└─ Update discovery-progress.json
Phase 4: Aggregation & Prioritization
├─ Collect agent return summaries
├─ Load perspective JSON files
├─ Merge findings, deduplicate by file+line
└─ Calculate priority scores
Phase 5: Issue Generation & Summary
├─ Convert high-priority discoveries to issue format
├─ Write to discovery-issues.jsonl
├─ Generate single summary.md from agent returns
└─ Update discovery-state.json to complete
Phase 6: User Action Prompt
└─ AskUserQuestion for next step (export/dashboard/skip)
```
## Perspectives
### Available Perspectives
| Perspective | Focus | Categories | Exa |
|-------------|-------|------------|-----|
| **bug** | Potential Bugs | edge-case, null-check, resource-leak, race-condition, boundary, exception-handling | - |
| **ux** | User Experience | error-message, loading-state, feedback, accessibility, interaction, consistency | - |
| **test** | Test Coverage | missing-test, edge-case-test, integration-gap, coverage-hole, assertion-quality | - |
| **quality** | Code Quality | complexity, duplication, naming, documentation, code-smell, readability | - |
| **security** | Security Issues | injection, auth, encryption, input-validation, data-exposure, access-control | ✓ |
| **performance** | Performance | n-plus-one, memory-usage, caching, algorithm, blocking-operation, resource | - |
| **maintainability** | Maintainability | coupling, cohesion, tech-debt, extensibility, module-boundary, interface-design | - |
| **best-practices** | Best Practices | convention, pattern, framework-usage, anti-pattern, industry-standard | ✓ |
### Interactive Perspective Selection
When no `--perspectives` flag is provided, the command uses AskUserQuestion:
```javascript
AskUserQuestion({
questions: [{
question: "Select primary discovery focus:",
header: "Focus",
multiSelect: false,
options: [
{ label: "Bug + Test + Quality", description: "Quick scan: potential bugs, test gaps, code quality (Recommended)" },
{ label: "Security + Performance", description: "System audit: security issues, performance bottlenecks" },
{ label: "Maintainability + Best-practices", description: "Long-term health: coupling, tech debt, conventions" },
{ label: "Full analysis", description: "All 7 perspectives (comprehensive, takes longer)" }
]
}]
})
```
**Recommended Combinations**:
- Quick scan: bug, test, quality
- Full analysis: all perspectives
- Security audit: security, bug, quality
## Core Responsibilities
### Orchestrator
**Phase 1: Discovery & Initialization**
```javascript
// Step 1: Parse target pattern and resolve files
const resolvedFiles = await expandGlobPattern(targetPattern);
if (resolvedFiles.length === 0) {
throw new Error(`No files matched pattern: ${targetPattern}`);
}
// Step 2: Generate discovery ID
const discoveryId = `DSC-${formatDate(new Date(), 'YYYYMMDD-HHmmss')}`;
// Step 3: Create output directory
const outputDir = `.workflow/issues/discoveries/${discoveryId}`;
await mkdir(outputDir, { recursive: true });
await mkdir(`${outputDir}/perspectives`, { recursive: true });
// Step 4: Initialize unified discovery state (merged state+progress)
await writeJson(`${outputDir}/discovery-state.json`, {
discovery_id: discoveryId,
target_pattern: targetPattern,
phase: "initialization",
created_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
target: { files_count: { total: resolvedFiles.length }, project: {} },
perspectives: [], // filled after selection: [{name, status, findings}]
external_research: { enabled: false, completed: false },
results: { total_findings: 0, issues_generated: 0, priority_distribution: {} }
});
```
**Phase 2: Perspective Selection**
```javascript
// Check for --perspectives flag
let selectedPerspectives = [];
if (args.perspectives) {
selectedPerspectives = args.perspectives.split(',').map(p => p.trim());
} else {
// Interactive selection via AskUserQuestion
const response = await AskUserQuestion({...});
selectedPerspectives = parseSelectedPerspectives(response);
}
// Validate and update state
await updateDiscoveryState(outputDir, {
'metadata.perspectives': selectedPerspectives,
phase: 'parallel'
});
```
**Phase 3: Parallel Perspective Analysis**
Launch N agents in parallel (one per selected perspective):
```javascript
// Launch agents in parallel - agents write JSON and return summary
const agentPromises = selectedPerspectives.map(perspective =>
Task({
subagent_type: "cli-explore-agent",
run_in_background: false,
description: `Discover ${perspective} issues`,
prompt: buildPerspectivePrompt(perspective, discoveryId, resolvedFiles, outputDir)
})
);
// Wait for all agents - collect their return summaries
const results = await Promise.all(agentPromises);
// results contain agent summaries for final report
```
**Phase 4: Aggregation & Prioritization**
```javascript
// Load all perspective JSON files written by agents
const allFindings = [];
for (const perspective of selectedPerspectives) {
const jsonPath = `${outputDir}/perspectives/${perspective}.json`;
if (await fileExists(jsonPath)) {
const data = await readJson(jsonPath);
allFindings.push(...data.findings.map(f => ({ ...f, perspective })));
}
}
// Deduplicate and prioritize
const prioritizedFindings = deduplicateAndPrioritize(allFindings);
// Update unified state
await updateDiscoveryState(outputDir, {
phase: 'aggregation',
'results.total_findings': prioritizedFindings.length,
'results.priority_distribution': countByPriority(prioritizedFindings)
});
```
**Phase 5: Issue Generation & Summary**
```javascript
// Convert high-priority findings to issues
const issueWorthy = prioritizedFindings.filter(f =>
f.priority === 'critical' || f.priority === 'high' || f.priority_score >= 0.7
);
// Write discovery-issues.jsonl
await writeJsonl(`${outputDir}/discovery-issues.jsonl`, issues);
// Generate single summary.md from agent return summaries
// Orchestrator briefly summarizes what agents returned (NO detailed reports)
await writeSummaryFromAgentReturns(outputDir, results, prioritizedFindings, issues);
// Update final state
await updateDiscoveryState(outputDir, {
phase: 'complete',
updated_at: new Date().toISOString(),
'results.issues_generated': issues.length
});
```
**Phase 6: User Action Prompt**
```javascript
// Prompt user for next action based on discovery results
const hasHighPriority = issues.some(i => i.priority === 'critical' || i.priority === 'high');
const hasMediumFindings = prioritizedFindings.some(f => f.priority === 'medium');
await AskUserQuestion({
questions: [{
question: `Discovery complete: ${issues.length} issues generated, ${prioritizedFindings.length} total findings. What would you like to do next?`,
header: "Next Step",
multiSelect: false,
options: hasHighPriority ? [
{ label: "Export to Issues (Recommended)", description: `${issues.length} high-priority issues found - export to issue tracker for planning` },
{ label: "Open Dashboard", description: "Review findings in ccw view before exporting" },
{ label: "Skip", description: "Complete discovery without exporting" }
] : hasMediumFindings ? [
{ label: "Open Dashboard (Recommended)", description: "Review medium-priority findings in ccw view to decide which to export" },
{ label: "Export to Issues", description: `Export ${issues.length} issues to tracker` },
{ label: "Skip", description: "Complete discovery without exporting" }
] : [
{ label: "Skip (Recommended)", description: "No significant issues found - complete discovery" },
{ label: "Open Dashboard", description: "Review all findings in ccw view" },
{ label: "Export to Issues", description: `Export ${issues.length} issues anyway` }
]
}]
});
// Handle response
if (response === "Export to Issues") {
// Append to issues.jsonl
await appendJsonl('.workflow/issues/issues.jsonl', issues);
console.log(`Exported ${issues.length} issues. Run /issue:plan to continue.`);
} else if (response === "Open Dashboard") {
console.log('Run `ccw view` and navigate to Issues > Discovery to manage findings.');
}
```
### Output File Structure
```
.workflow/issues/discoveries/
├── index.json # Discovery session index
└── {discovery-id}/
├── discovery-state.json # Unified state (merged state+progress)
├── perspectives/
│ └── {perspective}.json # Per-perspective findings
├── external-research.json # Exa research results (if enabled)
├── discovery-issues.jsonl # Generated candidate issues
└── summary.md # Single summary (from agent returns)
```
### Schema References
**External Schema Files** (agent MUST read and follow exactly):
| Schema | Path | Purpose |
|--------|------|---------|
| **Discovery State** | `~/.claude/workflows/cli-templates/schemas/discovery-state-schema.json` | Session state machine |
| **Discovery Finding** | `~/.claude/workflows/cli-templates/schemas/discovery-finding-schema.json` | Perspective analysis results |
### Agent Invocation Template
**Perspective Analysis Agent**:
```javascript
Task({
subagent_type: "cli-explore-agent",
run_in_background: false,
description: `Discover ${perspective} issues`,
prompt: `
## Task Objective
Discover potential ${perspective} issues in specified module files.
## Discovery Context
- Discovery ID: ${discoveryId}
- Perspective: ${perspective}
- Target Pattern: ${targetPattern}
- Resolved Files: ${resolvedFiles.length} files
- Output Directory: ${outputDir}
## MANDATORY FIRST STEPS
1. Read discovery state: ${outputDir}/discovery-state.json
2. Read schema: ~/.claude/workflows/cli-templates/schemas/discovery-finding-schema.json
3. Analyze target files for ${perspective} concerns
## Output Requirements
**1. Write JSON file**: ${outputDir}/perspectives/${perspective}.json
- Follow discovery-finding-schema.json exactly
- Each finding: id, title, priority, category, description, file, line, snippet, suggested_issue, confidence
**2. Return summary** (DO NOT write report file):
- Return a brief text summary of findings
- Include: total findings, priority breakdown, key issues
- This summary will be used by orchestrator for final report
## Perspective-Specific Guidance
${getPerspectiveGuidance(perspective)}
## Success Criteria
- [ ] JSON written to ${outputDir}/perspectives/${perspective}.json
- [ ] Summary returned with findings count and key issues
- [ ] Each finding includes actionable suggested_issue
- [ ] Priority uses lowercase enum: critical/high/medium/low
`
})
```
**Exa Research Agent** (for security and best-practices):
```javascript
Task({
subagent_type: "cli-explore-agent",
run_in_background: false,
description: `External research for ${perspective} via Exa`,
prompt: `
## Task Objective
Research industry best practices for ${perspective} using Exa search
## Research Steps
1. Read project tech stack: .workflow/project-tech.json
2. Use Exa to search for best practices
3. Synthesize findings relevant to this project
## Output Requirements
**1. Write JSON file**: ${outputDir}/external-research.json
- Include sources, key_findings, gap_analysis, recommendations
**2. Return summary** (DO NOT write report file):
- Brief summary of external research findings
- Key recommendations for the project
## Success Criteria
- [ ] JSON written to ${outputDir}/external-research.json
- [ ] Summary returned with key recommendations
- [ ] Findings are relevant to project's tech stack
`
})
```
### Perspective Guidance Reference
```javascript
function getPerspectiveGuidance(perspective) {
const guidance = {
bug: `
Focus: Null checks, edge cases, resource leaks, race conditions, boundary conditions, exception handling
Priority: Critical=data corruption/crash, High=malfunction, Medium=edge case issues, Low=minor
`,
ux: `
Focus: Error messages, loading states, feedback, accessibility, interaction patterns, form validation
Priority: Critical=inaccessible, High=confusing, Medium=inconsistent, Low=cosmetic
`,
test: `
Focus: Missing unit tests, edge case coverage, integration gaps, assertion quality, test isolation
Priority: Critical=no security tests, High=no core logic tests, Medium=weak coverage, Low=minor gaps
`,
quality: `
Focus: Complexity, duplication, naming, documentation, code smells, readability
Priority: Critical=unmaintainable, High=significant issues, Medium=naming/docs, Low=minor refactoring
`,
security: `
Focus: Input validation, auth/authz, injection, XSS/CSRF, data exposure, access control
Priority: Critical=auth bypass/injection, High=missing authz, Medium=weak validation, Low=headers
`,
performance: `
Focus: N+1 queries, memory leaks, caching, algorithm efficiency, blocking operations
Priority: Critical=memory leaks, High=N+1/inefficient, Medium=missing cache, Low=minor optimization
`,
maintainability: `
Focus: Coupling, interface design, tech debt, extensibility, module boundaries, configuration
Priority: Critical=unrelated code changes, High=unclear boundaries, Medium=coupling, Low=refactoring
`,
'best-practices': `
Focus: Framework conventions, language patterns, anti-patterns, deprecated APIs, coding standards
Priority: Critical=anti-patterns causing bugs, High=convention violations, Medium=style, Low=cosmetic
`
};
return guidance[perspective] || 'General code discovery analysis';
}
```
## Dashboard Integration
### Viewing Discoveries
Open CCW dashboard to manage discoveries:
```bash
ccw view
```
Navigate to **Issues > Discovery** to:
- View all discovery sessions
- Filter findings by perspective and priority
- Preview finding details
- Select and export findings as issues
### Exporting to Issues
From the dashboard, select findings and click "Export as Issues" to:
1. Convert discoveries to standard issue format
2. Append to `.workflow/issues/issues.jsonl`
3. Set status to `registered`
4. Continue with `/issue:plan` workflow
## Related Commands
```bash
# After discovery, plan solutions for exported issues
/issue:plan DSC-001,DSC-002,DSC-003
# Or use interactive management
/issue:manage
```
## Best Practices
1. **Start Focused**: Begin with specific modules rather than entire codebase
2. **Use Quick Scan First**: Start with bug, test, quality for fast results
3. **Review Before Export**: Not all discoveries warrant issues - use dashboard to filter
4. **Combine Perspectives**: Run related perspectives together (e.g., security + bug)
5. **Enable Exa for New Tech**: When using unfamiliar frameworks, enable external research

View File

@@ -0,0 +1,581 @@
---
name: execute
description: Execute queue with DAG-based parallel orchestration (one commit per solution)
argument-hint: "--queue <queue-id> [--worktree [<existing-path>]]"
allowed-tools: TodoWrite(*), Bash(*), Read(*), AskUserQuestion(*)
---
# Issue Execute Command (/issue:execute)
## Overview
Minimal orchestrator that dispatches **solution IDs** to executors. Each executor receives a complete solution with all its tasks.
**Design Principles:**
- `queue dag` → returns parallel batches with solution IDs (S-1, S-2, ...)
- `detail <id>` → READ-ONLY solution fetch (returns full solution with all tasks)
- `done <id>` → update solution completion status
- No race conditions: status changes only via `done`
- **Executor handles all tasks within a solution sequentially**
- **Single worktree for entire queue**: One worktree isolates ALL queue execution from main workspace
## Queue ID Requirement (MANDATORY)
**Queue ID is REQUIRED.** You MUST specify which queue to execute via `--queue <queue-id>`.
### If Queue ID Not Provided
When `--queue` parameter is missing, you MUST:
1. **List available queues** by running:
```javascript
const result = Bash('ccw issue queue list --brief --json');
const index = JSON.parse(result);
```
2. **Display available queues** to user:
```
Available Queues:
ID Status Progress Issues
-----------------------------------------------------------
→ QUE-20251215-001 active 3/10 ISS-001, ISS-002
QUE-20251210-002 active 0/5 ISS-003
QUE-20251205-003 completed 8/8 ISS-004
```
3. **Stop and ask user** to specify which queue to execute:
```javascript
AskUserQuestion({
questions: [{
question: "Which queue would you like to execute?",
header: "Queue",
multiSelect: false,
options: index.queues
.filter(q => q.status === 'active')
.map(q => ({
label: q.id,
description: `${q.status}, ${q.completed_solutions || 0}/${q.total_solutions || 0} completed, Issues: ${q.issue_ids.join(', ')}`
}))
}]
})
```
4. **After user selection**, continue execution with the selected queue ID.
**DO NOT auto-select queues.** Explicit user confirmation is required to prevent accidental execution of wrong queue.
## Usage
```bash
/issue:execute --queue QUE-xxx # Execute specific queue (REQUIRED)
/issue:execute --queue QUE-xxx --worktree # Execute in isolated worktree
/issue:execute --queue QUE-xxx --worktree /path/to/existing/worktree # Resume
```
**Parallelism**: Determined automatically by task dependency DAG (no manual control)
**Executor & Dry-run**: Selected via interactive prompt (AskUserQuestion)
**Worktree**: Creates ONE worktree for the entire queue execution (not per-solution)
**⭐ Recommended Executor**: **Codex** - Best for long-running autonomous work (2hr timeout), supports background execution and full write access
**Worktree Options**:
- `--worktree` - Create a new worktree with timestamp-based name
- `--worktree <existing-path>` - Resume in an existing worktree (for recovery/continuation)
**Resume**: Use `git worktree list` to find existing worktrees from interrupted executions
## Execution Flow
```
Phase 0: Validate Queue ID (REQUIRED)
├─ If --queue provided → use specified queue
├─ If --queue missing → list queues, prompt user to select
└─ Store QUEUE_ID for all subsequent commands
Phase 0.5 (if --worktree): Setup Queue Worktree
├─ Create ONE worktree for entire queue: .ccw/worktrees/queue-<timestamp>
├─ All subsequent execution happens in this worktree
└─ Main workspace remains clean and untouched
Phase 1: Get DAG & User Selection
├─ ccw issue queue dag --queue ${QUEUE_ID} → { parallel_batches: [["S-1","S-2"], ["S-3"]] }
└─ AskUserQuestion → executor type (codex|gemini|agent), dry-run mode, worktree mode
Phase 2: Dispatch Parallel Batch (DAG-driven)
├─ Parallelism determined by DAG (no manual limit)
├─ All executors work in the SAME worktree (or main if no worktree)
├─ For each solution ID in batch (parallel - all at once):
│ ├─ Executor calls: ccw issue detail <id> (READ-ONLY)
│ ├─ Executor gets FULL SOLUTION with all tasks
│ ├─ Executor implements all tasks sequentially (T1 → T2 → T3)
│ ├─ Executor tests + verifies each task
│ ├─ Executor commits ONCE per solution (with formatted summary)
│ └─ Executor calls: ccw issue done <id>
└─ Wait for batch completion
Phase 3: Next Batch (repeat Phase 2)
└─ ccw issue queue dag → check for newly-ready solutions
Phase 4 (if --worktree): Worktree Completion
├─ All batches complete → prompt for merge strategy
└─ Options: Create PR / Merge to main / Keep branch
```
## Implementation
### Phase 0: Validate Queue ID
```javascript
// Check if --queue was provided
let QUEUE_ID = args.queue;
if (!QUEUE_ID) {
// List available queues
const listResult = Bash('ccw issue queue list --brief --json').trim();
const index = JSON.parse(listResult);
if (index.queues.length === 0) {
console.log('No queues found. Use /issue:queue to create one first.');
return;
}
// Filter active queues only
const activeQueues = index.queues.filter(q => q.status === 'active');
if (activeQueues.length === 0) {
console.log('No active queues found.');
console.log('Available queues:', index.queues.map(q => `${q.id} (${q.status})`).join(', '));
return;
}
// Display and prompt user
console.log('\nAvailable Queues:');
console.log('ID'.padEnd(22) + 'Status'.padEnd(12) + 'Progress'.padEnd(12) + 'Issues');
console.log('-'.repeat(70));
for (const q of index.queues) {
const marker = q.id === index.active_queue_id ? '→ ' : ' ';
console.log(marker + q.id.padEnd(20) + q.status.padEnd(12) +
`${q.completed_solutions || 0}/${q.total_solutions || 0}`.padEnd(12) +
q.issue_ids.join(', '));
}
const answer = AskUserQuestion({
questions: [{
question: "Which queue would you like to execute?",
header: "Queue",
multiSelect: false,
options: activeQueues.map(q => ({
label: q.id,
description: `${q.completed_solutions || 0}/${q.total_solutions || 0} completed, Issues: ${q.issue_ids.join(', ')}`
}))
}]
});
QUEUE_ID = answer['Queue'];
}
console.log(`\n## Executing Queue: ${QUEUE_ID}\n`);
```
### Phase 1: Get DAG & User Selection
```javascript
// Get dependency graph and parallel batches (QUEUE_ID required)
const dagJson = Bash(`ccw issue queue dag --queue ${QUEUE_ID}`).trim();
const dag = JSON.parse(dagJson);
if (dag.error || dag.ready_count === 0) {
console.log(dag.error || 'No solutions ready for execution');
console.log('Use /issue:queue to form a queue first');
return;
}
console.log(`
## Queue DAG (Solution-Level)
- Total Solutions: ${dag.total}
- Ready: ${dag.ready_count}
- Completed: ${dag.completed_count}
- Parallel in batch 1: ${dag.parallel_batches[0]?.length || 0}
`);
// Interactive selection via AskUserQuestion
const answer = AskUserQuestion({
questions: [
{
question: 'Select executor type:',
header: 'Executor',
multiSelect: false,
options: [
{ label: 'Codex (Recommended)', description: 'Autonomous coding with full write access' },
{ label: 'Gemini', description: 'Large context analysis and implementation' },
{ label: 'Agent', description: 'Claude Code sub-agent for complex tasks' }
]
},
{
question: 'Execution mode:',
header: 'Mode',
multiSelect: false,
options: [
{ label: 'Execute (Recommended)', description: 'Run all ready solutions' },
{ label: 'Dry-run', description: 'Show DAG and batches without executing' }
]
},
{
question: 'Use git worktree for queue isolation?',
header: 'Worktree',
multiSelect: false,
options: [
{ label: 'Yes (Recommended)', description: 'Create ONE worktree for entire queue - main stays clean' },
{ label: 'No', description: 'Work directly in current directory' }
]
}
]
});
const executor = answer['Executor'].toLowerCase().split(' ')[0]; // codex|gemini|agent
const isDryRun = answer['Mode'].includes('Dry-run');
const useWorktree = answer['Worktree'].includes('Yes');
// Dry run mode
if (isDryRun) {
console.log('### Parallel Batches (Dry-run):\n');
dag.parallel_batches.forEach((batch, i) => {
console.log(`Batch ${i + 1}: ${batch.join(', ')}`);
});
return;
}
```
### Phase 0 & 2: Setup Queue Worktree & Dispatch
```javascript
// Parallelism determined by DAG - no manual limit
// All solutions in same batch have NO file conflicts and can run in parallel
const batch = dag.parallel_batches[0] || [];
// Initialize TodoWrite
TodoWrite({
todos: batch.map(id => ({
content: `Execute solution ${id}`,
status: 'pending',
activeForm: `Executing solution ${id}`
}))
});
console.log(`\n### Executing Solutions (DAG batch 1): ${batch.join(', ')}`);
// Parse existing worktree path from args if provided
// Example: --worktree /path/to/existing/worktree
const existingWorktree = args.worktree && typeof args.worktree === 'string' ? args.worktree : null;
// Setup ONE worktree for entire queue (not per-solution)
let worktreePath = null;
let worktreeBranch = null;
if (useWorktree) {
const repoRoot = Bash('git rev-parse --show-toplevel').trim();
const worktreeBase = `${repoRoot}/.ccw/worktrees`;
Bash(`mkdir -p "${worktreeBase}"`);
Bash('git worktree prune'); // Cleanup stale worktrees
if (existingWorktree) {
// Resume mode: Use existing worktree
worktreePath = existingWorktree;
worktreeBranch = Bash(`git -C "${worktreePath}" branch --show-current`).trim();
console.log(`Resuming in existing worktree: ${worktreePath} (branch: ${worktreeBranch})`);
} else {
// Create mode: ONE worktree for the entire queue
const timestamp = new Date().toISOString().replace(/[-:T]/g, '').slice(0, 14);
worktreeBranch = `queue-exec-${dag.queue_id || timestamp}`;
worktreePath = `${worktreeBase}/${worktreeBranch}`;
Bash(`git worktree add "${worktreePath}" -b "${worktreeBranch}"`);
console.log(`Created queue worktree: ${worktreePath}`);
}
}
// Launch ALL solutions in batch in parallel (DAG guarantees no conflicts)
// All executors work in the SAME worktree (or main if no worktree)
const executions = batch.map(solutionId => {
updateTodo(solutionId, 'in_progress');
return dispatchExecutor(solutionId, executor, worktreePath);
});
await Promise.all(executions);
batch.forEach(id => updateTodo(id, 'completed'));
```
### Executor Dispatch
```javascript
// worktreePath: path to shared worktree (null if not using worktree)
function dispatchExecutor(solutionId, executorType, worktreePath = null) {
// If worktree is provided, executor works in that directory
// No per-solution worktree creation - ONE worktree for entire queue
const cdCommand = worktreePath ? `cd "${worktreePath}"` : '';
const prompt = `
## Execute Solution ${solutionId}
${worktreePath ? `
### Step 0: Enter Queue Worktree
\`\`\`bash
cd "${worktreePath}"
\`\`\`
` : ''}
### Step 1: Get Solution (read-only)
\`\`\`bash
ccw issue detail ${solutionId}
\`\`\`
### Step 2: Execute All Tasks Sequentially
The detail command returns a FULL SOLUTION with all tasks.
Execute each task in order (T1 → T2 → T3 → ...):
For each task:
1. Follow task.implementation steps
2. Run task.test commands
3. Verify task.acceptance criteria
(Do NOT commit after each task)
### Step 3: Commit Solution (Once)
After ALL tasks pass, commit once with formatted summary:
\`\`\`bash
git add <all-modified-files>
git commit -m "[type](scope): [solution.description]
## Solution Summary
- Solution-ID: ${solutionId}
- Tasks: T1, T2, ...
## Tasks Completed
- [T1] task1.title: action
- [T2] task2.title: action
## Files Modified
- file1.ts
- file2.ts
## Verification
- All tests passed
- All acceptance criteria verified"
\`\`\`
### Step 4: Report Completion
\`\`\`bash
ccw issue done ${solutionId} --result '{"summary": "...", "files_modified": [...], "commit": {"hash": "...", "type": "feat"}, "tasks_completed": N}'
\`\`\`
If any task failed:
\`\`\`bash
ccw issue done ${solutionId} --fail --reason '{"task_id": "TX", "error_type": "test_failure", "message": "..."}'
\`\`\`
**Note**: Do NOT cleanup worktree after this solution. Worktree is shared by all solutions in the queue.
`;
// For CLI tools, pass --cd to set working directory
const cdOption = worktreePath ? ` --cd "${worktreePath}"` : '';
if (executorType === 'codex') {
return Bash(
`ccw cli -p "${escapePrompt(prompt)}" --tool codex --mode write --id exec-${solutionId}${cdOption}`,
{ timeout: 7200000, run_in_background: true } // 2hr for full solution
);
} else if (executorType === 'gemini') {
return Bash(
`ccw cli -p "${escapePrompt(prompt)}" --tool gemini --mode write --id exec-${solutionId}${cdOption}`,
{ timeout: 3600000, run_in_background: true }
);
} else {
return Task({
subagent_type: 'code-developer',
run_in_background: false,
description: `Execute solution ${solutionId}`,
prompt: worktreePath ? `Working directory: ${worktreePath}\n\n${prompt}` : prompt
});
}
}
```
### Phase 3: Check Next Batch
```javascript
// Refresh DAG after batch completes (use same QUEUE_ID)
const refreshedDag = JSON.parse(Bash(`ccw issue queue dag --queue ${QUEUE_ID}`).trim());
console.log(`
## Batch Complete
- Solutions Completed: ${refreshedDag.completed_count}/${refreshedDag.total}
- Next ready: ${refreshedDag.ready_count}
`);
if (refreshedDag.ready_count > 0) {
console.log(`Run \`/issue:execute --queue ${QUEUE_ID}\` again for next batch.`);
// Note: If resuming, pass existing worktree path:
// /issue:execute --queue ${QUEUE_ID} --worktree <worktreePath>
}
```
### Phase 4: Worktree Completion (after ALL batches)
```javascript
// Only run when ALL solutions completed AND using worktree
if (useWorktree && refreshedDag.ready_count === 0 && refreshedDag.completed_count === refreshedDag.total) {
console.log('\n## All Solutions Completed - Worktree Cleanup');
const answer = AskUserQuestion({
questions: [{
question: `Queue complete. What to do with worktree branch "${worktreeBranch}"?`,
header: 'Merge',
multiSelect: false,
options: [
{ label: 'Create PR (Recommended)', description: 'Push branch and create pull request' },
{ label: 'Merge to main', description: 'Merge all commits and cleanup worktree' },
{ label: 'Keep branch', description: 'Cleanup worktree, keep branch for manual handling' }
]
}]
});
const repoRoot = Bash('git rev-parse --show-toplevel').trim();
if (answer['Merge'].includes('Create PR')) {
Bash(`git -C "${worktreePath}" push -u origin "${worktreeBranch}"`);
Bash(`gh pr create --title "Queue ${dag.queue_id}" --body "Issue queue execution - all solutions completed" --head "${worktreeBranch}"`);
Bash(`git worktree remove "${worktreePath}"`);
console.log(`PR created for branch: ${worktreeBranch}`);
} else if (answer['Merge'].includes('Merge to main')) {
// Check main is clean
const mainDirty = Bash('git status --porcelain').trim();
if (mainDirty) {
console.log('Warning: Main has uncommitted changes. Falling back to PR.');
Bash(`git -C "${worktreePath}" push -u origin "${worktreeBranch}"`);
Bash(`gh pr create --title "Queue ${dag.queue_id}" --body "Issue queue execution (main had uncommitted changes)" --head "${worktreeBranch}"`);
} else {
Bash(`git merge --no-ff "${worktreeBranch}" -m "Merge queue ${dag.queue_id}"`);
Bash(`git branch -d "${worktreeBranch}"`);
}
Bash(`git worktree remove "${worktreePath}"`);
} else {
Bash(`git worktree remove "${worktreePath}"`);
console.log(`Branch ${worktreeBranch} kept for manual handling`);
}
}
```
## Parallel Execution Model
```
┌─────────────────────────────────────────────────────────────────┐
│ Orchestrator │
├─────────────────────────────────────────────────────────────────┤
│ 0. Validate QUEUE_ID (required, or prompt user to select) │
│ │
│ 0.5 (if --worktree) Create ONE worktree for entire queue │
│ → .ccw/worktrees/queue-exec-<queue-id> │
│ │
│ 1. ccw issue queue dag --queue ${QUEUE_ID} │
│ → { parallel_batches: [["S-1","S-2"], ["S-3"]] } │
│ │
│ 2. Dispatch batch 1 (parallel, SAME worktree): │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ Shared Queue Worktree (or main) │ │
│ │ ┌──────────────────┐ ┌──────────────────┐ │ │
│ │ │ Executor 1 │ │ Executor 2 │ │ │
│ │ │ detail S-1 │ │ detail S-2 │ │ │
│ │ │ [T1→T2→T3] │ │ [T1→T2] │ │ │
│ │ │ commit S-1 │ │ commit S-2 │ │ │
│ │ │ done S-1 │ │ done S-2 │ │ │
│ │ └──────────────────┘ └──────────────────┘ │ │
│ └──────────────────────────────────────────────────────┘ │
│ │
│ 3. ccw issue queue dag (refresh) │
│ → S-3 now ready → dispatch batch 2 (same worktree) │
│ │
│ 4. (if --worktree) ALL batches complete → cleanup worktree │
│ → Prompt: Create PR / Merge to main / Keep branch │
└─────────────────────────────────────────────────────────────────┘
```
**Why this works for parallel:**
- **ONE worktree for entire queue** → all solutions share same isolated workspace
- `detail <id>` is READ-ONLY → no race conditions
- Each executor handles **all tasks within a solution** sequentially
- **One commit per solution** with formatted summary (not per-task)
- `done <id>` updates only its own solution status
- `queue dag` recalculates ready solutions after each batch
- Solutions in same batch have NO file conflicts (DAG guarantees)
- **Main workspace stays clean** until merge/PR decision
## CLI Endpoint Contract
### `ccw issue queue list --brief --json`
Returns queue index for selection (used when --queue not provided):
```json
{
"active_queue_id": "QUE-20251215-001",
"queues": [
{ "id": "QUE-20251215-001", "status": "active", "issue_ids": ["ISS-001"], "total_solutions": 5, "completed_solutions": 2 }
]
}
```
### `ccw issue queue dag --queue <queue-id>`
Returns dependency graph with parallel batches (solution-level, **--queue required**):
```json
{
"queue_id": "QUE-...",
"total": 3,
"ready_count": 2,
"completed_count": 0,
"nodes": [
{ "id": "S-1", "issue_id": "ISS-xxx", "status": "pending", "ready": true, "task_count": 3 },
{ "id": "S-2", "issue_id": "ISS-yyy", "status": "pending", "ready": true, "task_count": 2 },
{ "id": "S-3", "issue_id": "ISS-zzz", "status": "pending", "ready": false, "depends_on": ["S-1"] }
],
"parallel_batches": [["S-1", "S-2"], ["S-3"]]
}
```
### `ccw issue detail <item_id>`
Returns FULL SOLUTION with all tasks (READ-ONLY):
```json
{
"item_id": "S-1",
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"status": "pending",
"solution": {
"id": "SOL-xxx",
"approach": "...",
"tasks": [
{ "id": "T1", "title": "...", "implementation": [...], "test": {...} },
{ "id": "T2", "title": "...", "implementation": [...], "test": {...} },
{ "id": "T3", "title": "...", "implementation": [...], "test": {...} }
],
"exploration_context": { "relevant_files": [...] }
},
"execution_hints": { "executor": "codex", "estimated_minutes": 180 }
}
```
### `ccw issue done <item_id>`
Marks solution completed/failed, updates queue state, checks for queue completion.
## Error Handling
| Error | Resolution |
|-------|------------|
| No queue | Run /issue:queue first |
| No ready solutions | Dependencies blocked, check DAG |
| Executor timeout | Solution not marked done, can retry |
| Solution failure | Use `ccw issue retry` to reset |
| Partial task failure | Executor reports which task failed via `done --fail` |
## Related Commands
- `/issue:plan` - Plan issues with solutions
- `/issue:queue` - Form execution queue
- `ccw issue queue dag` - View dependency graph
- `ccw issue detail <id>` - View task details
- `ccw issue retry` - Reset failed tasks

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@@ -0,0 +1,413 @@
---
name: new
description: Create structured issue from GitHub URL or text description
argument-hint: "<github-url | text-description> [--priority 1-5]"
allowed-tools: TodoWrite(*), Bash(*), Read(*), AskUserQuestion(*), mcp__ace-tool__search_context(*)
---
# Issue New Command (/issue:new)
## Core Principle
**Requirement Clarity Detection** → Ask only when needed
```
Clear Input (GitHub URL, structured text) → Direct creation
Unclear Input (vague description) → Minimal clarifying questions
```
## Issue Structure
```typescript
interface Issue {
id: string; // GH-123 or ISS-YYYYMMDD-HHMMSS
title: string;
status: 'registered' | 'planned' | 'queued' | 'in_progress' | 'completed' | 'failed';
priority: number; // 1 (critical) to 5 (low)
context: string; // Problem description (single source of truth)
source: 'github' | 'text' | 'discovery';
source_url?: string;
labels?: string[];
// GitHub binding (for non-GitHub sources that publish to GitHub)
github_url?: string; // https://github.com/owner/repo/issues/123
github_number?: number; // 123
// Optional structured fields
expected_behavior?: string;
actual_behavior?: string;
affected_components?: string[];
// Feedback history (failures + human clarifications)
feedback?: {
type: 'failure' | 'clarification' | 'rejection';
stage: string; // new/plan/execute
content: string;
created_at: string;
}[];
// Solution binding
bound_solution_id: string | null;
// Timestamps
created_at: string;
updated_at: string;
}
```
## Quick Reference
```bash
# Clear inputs - direct creation
/issue:new https://github.com/owner/repo/issues/123
/issue:new "Login fails with special chars. Expected: success. Actual: 500 error"
# Vague input - will ask clarifying questions
/issue:new "something wrong with auth"
```
## Implementation
### Phase 1: Input Analysis & Clarity Detection
```javascript
const input = userInput.trim();
const flags = parseFlags(userInput); // --priority
// Detect input type and clarity
const isGitHubUrl = input.match(/github\.com\/[\w-]+\/[\w-]+\/issues\/\d+/);
const isGitHubShort = input.match(/^#(\d+)$/);
const hasStructure = input.match(/(expected|actual|affects|steps):/i);
// Clarity score: 0-3
let clarityScore = 0;
if (isGitHubUrl || isGitHubShort) clarityScore = 3; // GitHub = fully clear
else if (hasStructure) clarityScore = 2; // Structured text = clear
else if (input.length > 50) clarityScore = 1; // Long text = somewhat clear
else clarityScore = 0; // Vague
let issueData = {};
```
### Phase 2: Data Extraction (GitHub or Text)
```javascript
if (isGitHubUrl || isGitHubShort) {
// GitHub - fetch via gh CLI
const result = Bash(`gh issue view ${extractIssueRef(input)} --json number,title,body,labels,url`);
const gh = JSON.parse(result);
issueData = {
id: `GH-${gh.number}`,
title: gh.title,
source: 'github',
source_url: gh.url,
labels: gh.labels.map(l => l.name),
context: gh.body?.substring(0, 500) || gh.title,
...parseMarkdownBody(gh.body)
};
} else {
// Text description
issueData = {
id: `ISS-${new Date().toISOString().replace(/[-:T]/g, '').slice(0, 14)}`,
source: 'text',
...parseTextDescription(input)
};
}
```
### Phase 3: Lightweight Context Hint (Conditional)
```javascript
// ACE search ONLY for medium clarity (1-2) AND missing components
// Skip for: GitHub (has context), vague (needs clarification first)
// Note: Deep exploration happens in /issue:plan, this is just a quick hint
if (clarityScore >= 1 && clarityScore <= 2 && !issueData.affected_components?.length) {
const keywords = extractKeywords(issueData.context);
if (keywords.length >= 2) {
try {
const aceResult = mcp__ace-tool__search_context({
project_root_path: process.cwd(),
query: keywords.slice(0, 3).join(' ')
});
issueData.affected_components = aceResult.files?.slice(0, 3) || [];
} catch {
// ACE failure is non-blocking
}
}
}
```
### Phase 4: Conditional Clarification (Only if Unclear)
```javascript
// ONLY ask questions if clarity is low - simple open-ended prompt
if (clarityScore < 2 && (!issueData.context || issueData.context.length < 20)) {
const answer = AskUserQuestion({
questions: [{
question: 'Please describe the issue in more detail:',
header: 'Clarify',
multiSelect: false,
options: [
{ label: 'Provide details', description: 'Describe what, where, and expected behavior' }
]
}]
});
// Use custom text input (via "Other")
if (answer.customText) {
issueData.context = answer.customText;
issueData.title = answer.customText.split(/[.\n]/)[0].substring(0, 60);
issueData.feedback = [{
type: 'clarification',
stage: 'new',
content: answer.customText,
created_at: new Date().toISOString()
}];
}
}
```
### Phase 5: GitHub Publishing Decision (Non-GitHub Sources)
```javascript
// For non-GitHub sources, ask if user wants to publish to GitHub
let publishToGitHub = false;
if (issueData.source !== 'github') {
const publishAnswer = AskUserQuestion({
questions: [{
question: 'Would you like to publish this issue to GitHub?',
header: 'Publish',
multiSelect: false,
options: [
{ label: 'Yes, publish to GitHub', description: 'Create issue on GitHub and link it' },
{ label: 'No, keep local only', description: 'Store as local issue without GitHub sync' }
]
}]
});
publishToGitHub = publishAnswer.answers?.['Publish']?.includes('Yes');
}
```
### Phase 6: Create Issue
**Summary Display:**
- Show ID, title, source, affected files (if any)
**Confirmation** (only for vague inputs, clarityScore < 2):
- Use `AskUserQuestion` to confirm before creation
**Issue Creation** (via CLI endpoint):
```bash
# Option 1: Pipe input (recommended for complex JSON - avoids shell escaping)
echo '{"title":"...", "context":"...", "priority":3}' | ccw issue create
# Option 2: Heredoc (for multi-line JSON)
ccw issue create << 'EOF'
{"title":"...", "context":"含\"引号\"的内容", "priority":3}
EOF
# Option 3: --data parameter (simple cases only)
ccw issue create --data '{"title":"...", "priority":3}'
```
**CLI Endpoint Features:**
| Feature | Description |
|---------|-------------|
| Auto-increment ID | `ISS-YYYYMMDD-NNN` (e.g., `ISS-20251229-001`) |
| Trailing newline | Proper JSONL format, no corruption |
| JSON output | Returns created issue with all fields |
**Example:**
```bash
# Create issue via pipe (recommended)
echo '{"title": "Login fails with special chars", "context": "500 error when password contains quotes", "priority": 2}' | ccw issue create
# Or with heredoc for complex JSON
ccw issue create << 'EOF'
{
"title": "Login fails with special chars",
"context": "500 error when password contains \"quotes\"",
"priority": 2,
"source": "text",
"expected_behavior": "Login succeeds",
"actual_behavior": "500 Internal Server Error"
}
EOF
# Output (JSON)
{
"id": "ISS-20251229-001",
"title": "Login fails with special chars",
"status": "registered",
...
}
```
**GitHub Publishing** (if user opted in):
```javascript
// Step 1: Create local issue FIRST
const localIssue = createLocalIssue(issueData); // ccw issue create
// Step 2: Publish to GitHub if requested
if (publishToGitHub) {
const ghResult = Bash(`gh issue create --title "${issueData.title}" --body "${issueData.context}"`);
// Parse GitHub URL from output
const ghUrl = ghResult.match(/https:\/\/github\.com\/[\w-]+\/[\w-]+\/issues\/\d+/)?.[0];
const ghNumber = parseInt(ghUrl?.match(/\/issues\/(\d+)/)?.[1]);
if (ghNumber) {
// Step 3: Update local issue with GitHub binding
Bash(`ccw issue update ${localIssue.id} --github-url "${ghUrl}" --github-number ${ghNumber}`);
// Or via pipe:
// echo '{"github_url":"${ghUrl}","github_number":${ghNumber}}' | ccw issue update ${localIssue.id}
}
}
```
**Workflow:**
```
1. Create local issue (ISS-YYYYMMDD-NNN) → stored in .workflow/issues.jsonl
2. If publishToGitHub:
a. gh issue create → returns GitHub URL
b. Update local issue with github_url + github_number binding
3. Both local and GitHub issues exist, linked together
```
**Example with GitHub Publishing:**
```bash
# User creates text issue
/issue:new "Login fails with special chars. Expected: success. Actual: 500"
# System asks: "Would you like to publish this issue to GitHub?"
# User selects: "Yes, publish to GitHub"
# Output:
# ✓ Local issue created: ISS-20251229-001
# ✓ Published to GitHub: https://github.com/org/repo/issues/123
# ✓ GitHub binding saved to local issue
# → Next step: /issue:plan ISS-20251229-001
# Resulting issue JSON:
{
"id": "ISS-20251229-001",
"title": "Login fails with special chars",
"source": "text",
"github_url": "https://github.com/org/repo/issues/123",
"github_number": 123,
...
}
```
**Completion:**
- Display created issue ID
- Show GitHub URL (if published)
- Show next step: `/issue:plan <id>`
## Execution Flow
```
Phase 1: Input Analysis
└─ Detect clarity score (GitHub URL? Structured text? Keywords?)
Phase 2: Data Extraction (branched by clarity)
┌────────────┬─────────────────┬──────────────┐
│ Score 3 │ Score 1-2 │ Score 0 │
│ GitHub │ Text + ACE │ Vague │
├────────────┼─────────────────┼──────────────┤
│ gh CLI │ Parse struct │ AskQuestion │
│ → parse │ + quick hint │ (1 question) │
│ │ (3 files max) │ → feedback │
└────────────┴─────────────────┴──────────────┘
Phase 3: GitHub Publishing Decision (non-GitHub only)
├─ Source = github: Skip (already from GitHub)
└─ Source ≠ github: AskUserQuestion
├─ Yes → publishToGitHub = true
└─ No → publishToGitHub = false
Phase 4: Create Issue
├─ Score ≥ 2: Direct creation
└─ Score < 2: Confirm first → Create
└─ If publishToGitHub: gh issue create → link URL
Note: Deep exploration & lifecycle deferred to /issue:plan
```
## Helper Functions
```javascript
function extractKeywords(text) {
const stopWords = new Set(['the', 'a', 'an', 'is', 'are', 'was', 'were', 'not', 'with']);
return text
.toLowerCase()
.split(/\W+/)
.filter(w => w.length > 3 && !stopWords.has(w))
.slice(0, 5);
}
function parseTextDescription(text) {
const result = { title: '', context: '' };
const sentences = text.split(/\.(?=\s|$)/);
result.title = sentences[0]?.trim().substring(0, 60) || 'Untitled';
result.context = text.substring(0, 500);
// Extract structured fields if present
const expected = text.match(/expected:?\s*([^.]+)/i);
const actual = text.match(/actual:?\s*([^.]+)/i);
const affects = text.match(/affects?:?\s*([^.]+)/i);
if (expected) result.expected_behavior = expected[1].trim();
if (actual) result.actual_behavior = actual[1].trim();
if (affects) {
result.affected_components = affects[1].split(/[,\s]+/).filter(c => c.includes('/') || c.includes('.'));
}
return result;
}
function parseMarkdownBody(body) {
if (!body) return {};
const result = {};
const problem = body.match(/##?\s*(problem|description)[:\s]*([\s\S]*?)(?=##|$)/i);
const expected = body.match(/##?\s*expected[:\s]*([\s\S]*?)(?=##|$)/i);
const actual = body.match(/##?\s*actual[:\s]*([\s\S]*?)(?=##|$)/i);
if (problem) result.context = problem[2].trim().substring(0, 500);
if (expected) result.expected_behavior = expected[2].trim();
if (actual) result.actual_behavior = actual[2].trim();
return result;
}
```
## Examples
### Clear Input (No Questions)
```bash
/issue:new https://github.com/org/repo/issues/42
# → Fetches, parses, creates immediately
/issue:new "Login fails with special chars. Expected: success. Actual: 500"
# → Parses structure, creates immediately
```
### Vague Input (1 Question)
```bash
/issue:new "auth broken"
# → Asks: "Input unclear. What is the issue about?"
# → User provides details → saved to feedback[]
# → Creates issue
```
## Related Commands
- `/issue:plan` - Plan solution for issue

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@@ -0,0 +1,330 @@
---
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.
**Behavior:**
- Single solution per issue → auto-bind
- Multiple solutions → return for user selection
- Agent handles file generation
## Core Guidelines
**⚠️ Data Access Principle**: Issues and solutions files can grow very large. To avoid context overflow:
| Operation | Correct | Incorrect |
|-----------|---------|-----------|
| List issues (brief) | `ccw issue list --status pending --brief` | `Read('issues.jsonl')` |
| Read issue details | `ccw issue status <id> --json` | `Read('issues.jsonl')` |
| Update status | `ccw issue update <id> --status ...` | Direct file edit |
| Bind solution | `ccw issue bind <id> <sol-id>` | Direct file edit |
**Output Options**:
- `--brief`: JSON with minimal fields (id, title, status, priority, tags)
- `--json`: Full JSON (agent use only)
**Orchestration vs Execution**:
- **Command (orchestrator)**: Use `--brief` for minimal context
- **Agent (executor)**: Fetch full details → `ccw issue status <id> --json`
**ALWAYS** use CLI commands for CRUD operations. **NEVER** read entire `issues.jsonl` or `solutions/*.jsonl` directly.
## Usage
```bash
/issue:plan [<issue-id>[,<issue-id>,...]] [FLAGS]
# Examples
/issue:plan # Default: --all-pending
/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 (explicit)
# 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 (Brief Info Only)
```javascript
const batchSize = flags.batchSize || 3;
let issues = []; // {id, title, tags} - brief info for grouping only
// Default to --all-pending if no input provided
const useAllPending = flags.allPending || !userInput || userInput.trim() === '';
if (useAllPending) {
// Get pending issues with brief metadata via CLI
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 brief 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 || [] });
}
}
// Note: Agent fetches full issue content via `ccw issue status <id> --json`
// Semantic grouping via Gemini CLI (max 4 issues per group)
async function groupBySimilarityGemini(issues) {
const issueSummaries = issues.map(i => ({
id: i.id, title: i.title, tags: i.tags
}));
const prompt = `
PURPOSE: Group similar issues by semantic similarity for batch processing; maximize within-group coherence; max 4 issues per group
TASK: • Analyze issue titles/tags semantically • Identify functional/architectural clusters • Assign each issue to one group
MODE: analysis
CONTEXT: Issue metadata only
EXPECTED: JSON with groups array, each containing max 4 issue_ids, theme, rationale
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | Each issue in exactly one group | Max 4 issues per group | Balance group sizes
INPUT:
${JSON.stringify(issueSummaries, null, 2)}
OUTPUT FORMAT:
{"groups":[{"group_id":1,"theme":"...","issue_ids":["..."],"rationale":"..."}],"ungrouped":[]}
`;
const taskId = Bash({
command: `ccw cli -p "${prompt}" --tool gemini --mode analysis`,
run_in_background: true, timeout: 600000
});
const output = TaskOutput({ task_id: taskId, block: true });
// Extract JSON from potential markdown code blocks
function extractJsonFromMarkdown(text) {
const jsonMatch = text.match(/```json\s*\n([\s\S]*?)\n```/) ||
text.match(/```\s*\n([\s\S]*?)\n```/);
return jsonMatch ? jsonMatch[1] : text;
}
const result = JSON.parse(extractJsonFromMarkdown(output));
return result.groups.map(g => g.issue_ids.map(id => issues.find(i => i.id === id)));
}
const batches = await groupBySimilarityGemini(issues);
console.log(`Processing ${issues.length} issues in ${batches.length} batch(es) (max 4 issues/agent)`);
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) - PARALLEL
```javascript
Bash(`mkdir -p .workflow/issues/solutions`);
const pendingSelections = []; // Collect multi-solution issues for user selection
const agentResults = []; // Collect all agent results for conflict aggregation
// Build prompts for all batches
const agentTasks = batches.map((batch, batchIndex) => {
const issueList = batch.map(i => `- ${i.id}: ${i.title}${i.tags.length ? ` [${i.tags.join(', ')}]` : ''}`).join('\n');
const batchIds = batch.map(i => i.id);
const issuePrompt = `
## Plan Issues
**Issues** (grouped by similarity):
${issueList}
**Project Root**: ${process.cwd()}
### Project Context (MANDATORY)
1. Read: .workflow/project-tech.json (technology stack, architecture)
2. Read: .workflow/project-guidelines.json (constraints and conventions)
### Workflow
1. Fetch issue details: ccw issue status <id> --json
2. Load project context files
3. Explore codebase (ACE semantic search)
4. Plan solution with tasks (schema: solution-schema.json)
5. **If github_url exists**: Add final task to comment on GitHub issue
6. Write solution to: .workflow/issues/solutions/{issue-id}.jsonl
7. Single solution → auto-bind; Multiple → return for selection
### Rules
- Solution ID format: SOL-{issue-id}-{uid} (uid: 4 random alphanumeric chars, e.g., a7x9)
- Single solution per issue → auto-bind via ccw issue bind
- Multiple solutions → register only, return pending_selection
- Tasks must have quantified acceptance.criteria
### Return Summary
{"bound":[{"issue_id":"...","solution_id":"...","task_count":N}],"pending_selection":[{"issue_id":"...","solutions":[{"id":"...","description":"...","task_count":N}]}]}
`;
return { batchIndex, batchIds, issuePrompt, batch };
});
// Launch agents in parallel (max 10 concurrent)
const MAX_PARALLEL = 10;
for (let i = 0; i < agentTasks.length; i += MAX_PARALLEL) {
const chunk = agentTasks.slice(i, i + MAX_PARALLEL);
const taskIds = [];
// Launch chunk in parallel
for (const { batchIndex, batchIds, issuePrompt, batch } of chunk) {
updateTodo(`Plan batch ${batchIndex + 1}`, 'in_progress');
const taskId = Task(
subagent_type="issue-plan-agent",
run_in_background=true,
description=`Explore & plan ${batch.length} issues: ${batchIds.join(', ')}`,
prompt=issuePrompt
);
taskIds.push({ taskId, batchIndex });
}
console.log(`Launched ${taskIds.length} agents (batch ${i/MAX_PARALLEL + 1}/${Math.ceil(agentTasks.length/MAX_PARALLEL)})...`);
// Collect results from this chunk
for (const { taskId, batchIndex } of taskIds) {
const result = TaskOutput(task_id=taskId, block=true);
// Extract JSON from potential markdown code blocks (agent may wrap in ```json...```)
const jsonText = extractJsonFromMarkdown(result);
let summary;
try {
summary = JSON.parse(jsonText);
} catch (e) {
console.log(`⚠ Batch ${batchIndex + 1}: Failed to parse agent result, skipping`);
updateTodo(`Plan batch ${batchIndex + 1}`, 'completed');
continue;
}
agentResults.push(summary); // Store for Phase 3 conflict aggregation
for (const item of summary.bound || []) {
console.log(`${item.issue_id}: ${item.solution_id} (${item.task_count} tasks)`);
}
// Collect and notify pending selections
for (const pending of summary.pending_selection || []) {
console.log(`${pending.issue_id}: ${pending.solutions.length} solutions → awaiting selection`);
pendingSelections.push(pending);
}
if (summary.conflicts?.length > 0) {
console.log(`⚠ Conflicts: ${summary.conflicts.length} detected (will resolve in Phase 3)`);
}
updateTodo(`Plan batch ${batchIndex + 1}`, 'completed');
}
}
```
### Phase 3: Conflict Resolution & Solution Selection
**Conflict Handling:**
- Collect `conflicts` from all agent results
- Low/Medium severity → auto-resolve with `recommended_resolution`
- High severity → use `AskUserQuestion` to let user choose resolution
**Multi-Solution Selection:**
- If `pending_selection` contains issues with multiple solutions:
- Use `AskUserQuestion` to present options (solution ID + task count + description)
- Extract selected solution ID from user response
- Verify solution file exists, recover from payload if missing
- Bind selected solution via `ccw issue bind <issue-id> <solution-id>`
### Phase 4: Summary
```javascript
// Count planned issues via CLI
const planned = JSON.parse(Bash(`ccw issue list --status planned --brief`) || '[]');
const plannedCount = planned.length;
console.log(`
## Done: ${issues.length} issues → ${plannedCount} planned
Next: \`/issue:queue\`\`/issue:execute\`
`);
```
## Error Handling
| Error | Resolution |
|-------|------------|
| Issue not found | Auto-create in issues.jsonl |
| ACE search fails | Agent falls back to ripgrep |
| No solutions generated | Display error, suggest manual planning |
| User cancels selection | Skip issue, continue with others |
| File conflicts | Agent detects and suggests resolution order |
## Bash Compatibility
**Avoid**: `$(cmd)`, `$var`, `for` loops — will be escaped incorrectly
**Use**: Simple commands + `&&` chains, quote comma params `"pending,registered"`
## Quality Checklist
Before completing, verify:
- [ ] All input issues have solutions in `solutions/{issue-id}.jsonl`
- [ ] Single solution issues are auto-bound (`bound_solution_id` set)
- [ ] Multi-solution issues returned in `pending_selection` for user choice
- [ ] Each solution has executable tasks with `modification_points`
- [ ] Task acceptance criteria are quantified (not vague)
- [ ] Conflicts detected and reported (if multiple issues touch same files)
- [ ] Issue status updated to `planned` after binding
## Related Commands
- `/issue:queue` - Form execution queue from bound solutions
- `ccw issue list` - List all issues
- `ccw issue status` - View issue and solution details

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---
name: queue
description: Form execution queue from bound solutions using issue-queue-agent (solution-level)
argument-hint: "[--queues <n>] [--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 **inter-solution** conflicts, and creates an ordered execution queue at **solution level**.
**Design Principle**: Queue items are **solutions**, not individual tasks. Each executor receives a complete solution with all its tasks.
## Core Capabilities
- **Agent-driven**: issue-queue-agent handles all ordering logic
- **Solution-level granularity**: Queue items are solutions, not tasks
- **Conflict clarification**: High-severity conflicts prompt user decision
- Semantic priority calculation per solution (0.0-1.0)
- Parallel/Sequential group assignment for solutions
## Core Guidelines
**⚠️ Data Access Principle**: Issues and queue files can grow very large. To avoid context overflow:
| Operation | Correct | Incorrect |
|-----------|---------|-----------|
| List issues (brief) | `ccw issue list --status planned --brief` | `Read('issues.jsonl')` |
| List queue (brief) | `ccw issue queue --brief` | `Read('queues/*.json')` |
| Read issue details | `ccw issue status <id> --json` | `Read('issues.jsonl')` |
| Get next item | `ccw issue next --json` | `Read('queues/*.json')` |
| Update status | `ccw issue update <id> --status ...` | Direct file edit |
| Sync from queue | `ccw issue update --from-queue` | Direct file edit |
| **Read solution (brief)** | `ccw issue solution <id> --brief` | `Read('solutions/*.jsonl')` |
**Output Options**:
- `--brief`: JSON with minimal fields (id, status, counts)
- `--json`: Full JSON (agent use only)
**Orchestration vs Execution**:
- **Command (orchestrator)**: Use `--brief` for minimal context
- **Agent (executor)**: Fetch full details → `ccw issue status <id> --json`
**ALWAYS** use CLI commands for CRUD operations. **NEVER** read entire `issues.jsonl` or `queues/*.json` directly.
## Usage
```bash
/issue:queue [FLAGS]
# Examples
/issue:queue # Form NEW queue from all bound solutions
/issue:queue --queues 3 # Form 3 parallel queues (solutions distributed)
/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
--queues <n> Number of parallel queues (default: 1)
--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 & Distribution
├─ Load issues.jsonl, filter by status='planned' + bound_solution_id
├─ Read solutions/{issue-id}.jsonl, find bound solution
├─ Extract files_touched from task modification_points
├─ Build solution objects array
└─ If --queues > 1: Partition solutions into N groups (minimize cross-group file conflicts)
Phase 2-4: Agent-Driven Queue Formation (issue-queue-agent)
├─ Generate N queue IDs (QUE-xxx-1, QUE-xxx-2, ...)
├─ If --queues == 1: Launch single issue-queue-agent
├─ If --queues > 1: Launch N issue-queue-agents IN PARALLEL
├─ Each agent performs:
│ ├─ Conflict analysis (5 types via Gemini CLI)
│ ├─ Build dependency DAG from conflicts
│ ├─ Calculate semantic priority per solution
│ └─ Assign execution groups (parallel/sequential)
└─ Each agent writes: queue JSON + index update
Phase 5: Conflict Clarification (if needed)
├─ Collect `clarifications` arrays from all agents
├─ If clarifications exist → AskUserQuestion (batched)
├─ Pass user decisions back to respective agents (resume)
└─ Agents update queues with resolved conflicts
Phase 6: Status Update & Summary
├─ Update issue statuses to 'queued'
└─ Display queue summary (N queues), next step: /issue:execute
```
## Implementation
### Phase 1: Solution Loading & Distribution
**Data Loading:**
- Use `ccw issue list --status planned --brief` to get planned issues with `bound_solution_id`
- If no planned issues found → display message, suggest `/issue:plan`
**Solution Brief Loading** (for each planned issue):
```bash
ccw issue solution <issue-id> --brief
# Returns: [{ solution_id, is_bound, task_count, files_touched[] }]
```
**Build Solution Objects:**
```json
{
"issue_id": "ISS-xxx",
"solution_id": "SOL-ISS-xxx-1",
"task_count": 3,
"files_touched": ["src/auth.ts", "src/utils.ts"],
"priority": "medium"
}
```
**Multi-Queue Distribution** (if `--queues > 1`):
- Use `files_touched` from brief output for partitioning
- Group solutions with overlapping files into same queue
**Output:** Array of solution objects (or N arrays if multi-queue)
### Phase 2-4: Agent-Driven Queue Formation
**Generate Queue IDs** (command layer, pass to agent):
```javascript
const timestamp = new Date().toISOString().replace(/[-:T]/g, '').slice(0, 14);
const numQueues = args.queues || 1;
const queueIds = numQueues === 1
? [`QUE-${timestamp}`]
: Array.from({length: numQueues}, (_, i) => `QUE-${timestamp}-${i + 1}`);
```
**Agent Prompt** (same for each queue, with assigned solutions):
```
## Order Solutions into Execution Queue
**Queue ID**: ${queueId}
**Solutions**: ${solutions.length} from ${issues.length} issues
**Project Root**: ${cwd}
**Queue Index**: ${queueIndex} of ${numQueues}
### Input
${JSON.stringify(solutions)}
// Each object: { issue_id, solution_id, task_count, files_touched[], priority }
### Workflow
Step 1: Build dependency graph from solutions (nodes=solutions, edges=file conflicts via files_touched)
Step 2: Use Gemini CLI for conflict analysis (5 types: file, API, data, dependency, architecture)
Step 3: For high-severity conflicts without clear resolution → add to `clarifications`
Step 4: Calculate semantic priority (base from issue priority + task_count boost)
Step 5: Assign execution groups: P* (parallel, no overlaps) / S* (sequential, shared files)
Step 6: Write queue JSON + update index
### Output Requirements
**Write files** (exactly 2):
- `.workflow/issues/queues/${queueId}.json` - Full queue with solutions, conflicts, groups
- `.workflow/issues/queues/index.json` - Update with new queue entry
**Return JSON**:
\`\`\`json
{
"queue_id": "${queueId}",
"total_solutions": N,
"total_tasks": N,
"execution_groups": [{"id": "P1", "type": "parallel", "count": N}],
"issues_queued": ["ISS-xxx"],
"clarifications": [{"conflict_id": "CFT-1", "question": "...", "options": [...]}]
}
\`\`\`
### Rules
- Solution granularity (NOT individual tasks)
- Queue Item ID format: S-1, S-2, S-3, ...
- Use provided Queue ID (do NOT generate new)
- `clarifications` only present if high-severity unresolved conflicts exist
- Use `files_touched` from input (already extracted by orchestrator)
### Done Criteria
- [ ] Queue JSON written with all solutions ordered
- [ ] Index updated with active_queue_id
- [ ] No circular dependencies
- [ ] Parallel groups have no file overlaps
- [ ] Return JSON matches required shape
```
**Launch Agents** (parallel if multi-queue):
```javascript
const numQueues = args.queues || 1;
if (numQueues === 1) {
// Single queue: single agent call
const result = Task(
subagent_type="issue-queue-agent",
prompt=buildPrompt(queueIds[0], solutions),
description=`Order ${solutions.length} solutions`
);
} else {
// Multi-queue: parallel agent calls (single message with N Task calls)
const agentPromises = solutionGroups.map((group, i) =>
Task(
subagent_type="issue-queue-agent",
prompt=buildPrompt(queueIds[i], group, i + 1, numQueues),
description=`Queue ${i + 1}/${numQueues}: ${group.length} solutions`
)
);
// All agents launched in parallel via single message with multiple Task tool calls
}
```
**Multi-Queue Index Update:**
- First queue sets `active_queue_id`
- All queues added to `queues` array with `queue_group` field linking them
### Phase 5: Conflict Clarification
**Collect Agent Results** (multi-queue):
```javascript
// Collect clarifications from all agents
const allClarifications = results.flatMap((r, i) =>
(r.clarifications || []).map(c => ({ ...c, queue_id: queueIds[i], agent_id: agentIds[i] }))
);
```
**Check Agent Return:**
- Parse agent result JSON (or all results if multi-queue)
- If any `clarifications` array exists and non-empty → user decision required
**Clarification Flow:**
```javascript
if (allClarifications.length > 0) {
for (const clarification of allClarifications) {
// Present to user via AskUserQuestion
const answer = AskUserQuestion({
questions: [{
question: `[${clarification.queue_id}] ${clarification.question}`,
header: clarification.conflict_id,
options: clarification.options,
multiSelect: false
}]
});
// Resume respective agent with user decision
Task(
subagent_type="issue-queue-agent",
resume=clarification.agent_id,
prompt=`Conflict ${clarification.conflict_id} resolved: ${answer.selected}`
);
}
}
```
### Phase 6: Status Update & Summary
**Status Update** (MUST use CLI command, NOT direct file operations):
```bash
# Option 1: Batch update from queue (recommended)
ccw issue update --from-queue [queue-id] --json
ccw issue update --from-queue --json # Use active queue
ccw issue update --from-queue QUE-xxx --json # Use specific queue
# Option 2: Individual issue update
ccw issue update <issue-id> --status queued
```
**⚠️ IMPORTANT**: Do NOT directly modify `issues.jsonl`. Always use CLI command to ensure proper validation and history tracking.
**Output** (JSON):
```json
{
"success": true,
"queue_id": "QUE-xxx",
"queued": ["ISS-001", "ISS-002"],
"queued_count": 2,
"unplanned": ["ISS-003"],
"unplanned_count": 1
}
```
**Behavior:**
- Updates issues in queue to `status: 'queued'` (skips already queued/executing/completed)
- Identifies planned issues with `bound_solution_id` NOT in queue → `unplanned` array
- Optional `queue-id`: defaults to active queue if omitted
**Summary Output:**
- Display queue ID, solution count, task count
- Show unplanned issues (planned but NOT in queue)
- Show next step: `/issue:execute`
## 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",
"active_queue_group": "QGR-20251227-143000",
"queues": [
{
"id": "QUE-20251227-143000-1",
"queue_group": "QGR-20251227-143000",
"queue_index": 1,
"total_queues": 3,
"status": "active",
"issue_ids": ["ISS-xxx", "ISS-yyy"],
"total_solutions": 3,
"completed_solutions": 1,
"created_at": "2025-12-27T14:30:00Z"
}
]
}
```
**Multi-Queue Fields:**
- `queue_group`: Links queues created in same batch (format: `QGR-{timestamp}`)
- `queue_index`: Position in group (1-based)
- `total_queues`: Total queues in group
- `active_queue_group`: Current active group (for multi-queue execution)
**Note**: Queue file schema is produced by `issue-queue-agent`. See agent documentation for details.
## Error Handling
| Error | Resolution |
|-------|------------|
| No bound solutions | Display message, suggest /issue:plan |
| Circular dependency | List cycles, abort queue formation |
| High-severity conflict | Return `clarifications`, prompt user decision |
| User cancels clarification | Abort queue formation |
| **index.json not updated** | Auto-fix: Set active_queue_id to new queue |
| **Queue file missing solutions** | Abort with error, agent must regenerate |
## Quality Checklist
Before completing, verify:
- [ ] All planned issues with `bound_solution_id` are included
- [ ] Queue JSON written to `queues/{queue-id}.json` (N files if multi-queue)
- [ ] Index updated in `queues/index.json` with `active_queue_id`
- [ ] Multi-queue: All queues share same `queue_group`
- [ ] No circular dependencies in solution DAG
- [ ] All conflicts resolved (auto or via user clarification)
- [ ] Parallel groups have no file overlaps
- [ ] Cross-queue: No file overlaps between queues
- [ ] Issue statuses updated to `queued`
## Related Commands
- `/issue:execute` - Execute queue with codex
- `ccw issue queue list` - View current queue
- `ccw issue update --from-queue [queue-id]` - Sync issue statuses from queue

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@@ -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

View File

@@ -235,12 +235,12 @@ api_id=$((group_count + 3))
| Mode | cli_execute | Placement | CLI MODE | Approval Flag | Agent Role |
|------|-------------|-----------|----------|---------------|------------|
| **Agent** | false | pre_analysis | analysis | (none) | Generate docs in implementation_approach |
| **CLI** | true | implementation_approach | write | --approval-mode yolo | Execute CLI commands, validate output |
| **CLI** | true | implementation_approach | write | --mode write | Execute CLI commands, validate output |
**Command Patterns**:
- Gemini/Qwen: `cd dir && gemini -p "..."`
- CLI Mode: `cd dir && gemini --approval-mode yolo -p "..."`
- Codex: `codex -C dir --full-auto exec "..." --skip-git-repo-check -s danger-full-access`
- Gemini/Qwen: `ccw cli -p "..." --tool gemini --mode analysis --cd dir`
- CLI Mode: `ccw cli -p "..." --tool gemini --mode write --cd dir`
- Codex: `ccw cli -p "..." --tool codex --mode write --cd dir`
**Generation Process**:
1. Read configuration values (tool, cli_execute, mode) from workflow-session.json
@@ -331,7 +331,7 @@ api_id=$((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 ${dirs_from_group}",
"depends_on": [1],
"output": "generated_docs"
}
@@ -363,7 +363,7 @@ api_id=$((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"
}
],
@@ -403,7 +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": [
{
@@ -440,7 +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": [
{
@@ -601,7 +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
@@ -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

@@ -0,0 +1,773 @@
---
name: swagger-docs
description: Generate complete Swagger/OpenAPI documentation following RESTful standards with global security, API details, error codes, and validation tests
argument-hint: "[path] [--tool <gemini|qwen|codex>] [--format <yaml|json>] [--version <v3.0|v3.1>] [--lang <zh|en>]"
---
# Swagger API Documentation Workflow (/memory:swagger-docs)
## Overview
Professional Swagger/OpenAPI documentation generator that strictly follows RESTful API design standards to produce enterprise-grade API documentation.
**Core Features**:
- **RESTful Standards**: Strict adherence to REST architecture and HTTP semantics
- **Global Security**: Unified Authorization Token validation mechanism
- **Complete API Docs**: Descriptions, methods, URLs, parameters for each endpoint
- **Organized Structure**: Clear directory hierarchy by business domain
- **Detailed Fields**: Type, required, example, description for each field
- **Error Code Standards**: Unified error response format and code definitions
- **Validation Tests**: Boundary conditions and exception handling tests
**Output Structure** (--lang zh):
```
.workflow/docs/{project_name}/api/
├── swagger.yaml # Main OpenAPI spec file
├── 概述/
│ ├── README.md # API overview
│ ├── 认证说明.md # Authentication guide
│ ├── 错误码规范.md # Error code definitions
│ └── 版本历史.md # Version history
├── 用户模块/ # Grouped by business domain
│ ├── 用户认证.md
│ ├── 用户管理.md
│ └── 权限控制.md
├── 业务模块/
│ └── ...
└── 测试报告/
├── 接口测试.md # API test results
└── 边界测试.md # Boundary condition tests
```
**Output Structure** (--lang en):
```
.workflow/docs/{project_name}/api/
├── swagger.yaml # Main OpenAPI spec file
├── overview/
│ ├── README.md # API overview
│ ├── authentication.md # Authentication guide
│ ├── error-codes.md # Error code definitions
│ └── changelog.md # Version history
├── users/ # Grouped by business domain
│ ├── authentication.md
│ ├── management.md
│ └── permissions.md
├── orders/
│ └── ...
└── test-reports/
├── api-tests.md # API test results
└── boundary-tests.md # Boundary condition tests
```
## Parameters
```bash
/memory:swagger-docs [path] [--tool <gemini|qwen|codex>] [--format <yaml|json>] [--version <v3.0|v3.1>] [--lang <zh|en>]
```
- **path**: API source code directory (default: current directory)
- **--tool**: CLI tool selection (default: gemini)
- `gemini`: Comprehensive analysis, pattern recognition
- `qwen`: Architecture analysis, system design
- `codex`: Implementation validation, code quality
- **--format**: OpenAPI spec format (default: yaml)
- `yaml`: YAML format (recommended, better readability)
- `json`: JSON format
- **--version**: OpenAPI version (default: v3.0)
- `v3.0`: OpenAPI 3.0.x
- `v3.1`: OpenAPI 3.1.0 (supports JSON Schema 2020-12)
- **--lang**: Documentation language (default: zh)
- `zh`: Chinese documentation with Chinese directory names
- `en`: English documentation with English directory names
## Planning Workflow
### Phase 1: Initialize Session
```bash
# Get project info
bash(pwd && basename "$(pwd)" && git rev-parse --show-toplevel 2>/dev/null || pwd && date +%Y%m%d-%H%M%S)
```
```javascript
// Create swagger-docs session
SlashCommand(command="/workflow:session:start --type swagger-docs --new \"{project_name}-swagger-{timestamp}\"")
// Parse output to get sessionId
```
```bash
# Update workflow-session.json
bash(jq '. + {"target_path":"{target_path}","project_root":"{project_root}","project_name":"{project_name}","format":"yaml","openapi_version":"3.0.3","lang":"{lang}","tool":"gemini"}' .workflow/active/{sessionId}/workflow-session.json > tmp.json && mv tmp.json .workflow/active/{sessionId}/workflow-session.json)
```
### Phase 2: Scan API Endpoints
**Discovery Patterns**: Auto-detect framework signatures and API definition styles.
**Supported Frameworks**:
| Framework | Detection Pattern | Example |
|-----------|-------------------|---------|
| Express.js | `router.get/post/put/delete` | `router.get('/users/:id')` |
| Fastify | `fastify.route`, `@Route` | `fastify.get('/api/users')` |
| NestJS | `@Controller`, `@Get/@Post` | `@Get('users/:id')` |
| Koa | `router.get`, `ctx.body` | `router.get('/users')` |
| Hono | `app.get/post`, `c.json` | `app.get('/users/:id')` |
| FastAPI | `@app.get`, `@router.post` | `@app.get("/users/{id}")` |
| Flask | `@app.route`, `@bp.route` | `@app.route('/users')` |
| Spring | `@GetMapping`, `@PostMapping` | `@GetMapping("/users/{id}")` |
| Go Gin | `r.GET`, `r.POST` | `r.GET("/users/:id")` |
| Go Chi | `r.Get`, `r.Post` | `r.Get("/users/{id}")` |
**Commands**:
```bash
# 1. Detect API framework type
bash(
if rg -q "@Controller|@Get|@Post|@Put|@Delete" --type ts 2>/dev/null; then echo "NESTJS";
elif rg -q "router\.(get|post|put|delete|patch)" --type ts --type js 2>/dev/null; then echo "EXPRESS";
elif rg -q "fastify\.(get|post|route)" --type ts --type js 2>/dev/null; then echo "FASTIFY";
elif rg -q "@app\.(get|post|put|delete)" --type py 2>/dev/null; then echo "FASTAPI";
elif rg -q "@GetMapping|@PostMapping|@RequestMapping" --type java 2>/dev/null; then echo "SPRING";
elif rg -q 'r\.(GET|POST|PUT|DELETE)' --type go 2>/dev/null; then echo "GO_GIN";
else echo "UNKNOWN"; fi
)
# 2. Scan all API endpoint definitions
bash(rg -n "(router|app|fastify)\.(get|post|put|delete|patch)|@(Get|Post|Put|Delete|Patch|Controller|RequestMapping)" --type ts --type js --type py --type java --type go -g '!*.test.*' -g '!*.spec.*' -g '!node_modules/**' 2>/dev/null | head -200)
# 3. Extract route paths
bash(rg -o "['\"](/api)?/[a-zA-Z0-9/:_-]+['\"]" --type ts --type js --type py -g '!*.test.*' 2>/dev/null | sort -u | head -100)
# 4. Detect existing OpenAPI/Swagger files
bash(find . -type f \( -name "swagger.yaml" -o -name "swagger.json" -o -name "openapi.yaml" -o -name "openapi.json" \) ! -path "*/node_modules/*" 2>/dev/null)
# 5. Extract DTO/Schema definitions
bash(rg -n "export (interface|type|class).*Dto|@ApiProperty|class.*Schema" --type ts -g '!*.test.*' 2>/dev/null | head -100)
```
**Data Processing**: Parse outputs, use **Write tool** to create `${session_dir}/.process/swagger-planning-data.json`:
```json
{
"metadata": {
"generated_at": "2025-01-01T12:00:00+08:00",
"project_name": "project_name",
"project_root": "/path/to/project",
"openapi_version": "3.0.3",
"format": "yaml",
"lang": "zh"
},
"framework": {
"type": "NESTJS",
"detected_patterns": ["@Controller", "@Get", "@Post"],
"base_path": "/api/v1"
},
"endpoints": [
{
"file": "src/modules/users/users.controller.ts",
"line": 25,
"method": "GET",
"path": "/api/v1/users/:id",
"handler": "getUser",
"controller": "UsersController"
}
],
"existing_specs": {
"found": false,
"files": []
},
"dto_schemas": [
{
"name": "CreateUserDto",
"file": "src/modules/users/dto/create-user.dto.ts",
"properties": ["email", "password", "name"]
}
],
"statistics": {
"total_endpoints": 45,
"by_method": {"GET": 20, "POST": 15, "PUT": 5, "DELETE": 5},
"by_module": {"users": 12, "auth": 8, "orders": 15, "products": 10}
}
}
```
### Phase 3: Analyze API Structure
**Commands**:
```bash
# 1. Analyze controller/route file structure
bash(cat ${session_dir}/.process/swagger-planning-data.json | jq -r '.endpoints[].file' | sort -u | head -20)
# 2. Extract request/response types
bash(for f in $(jq -r '.dto_schemas[].file' ${session_dir}/.process/swagger-planning-data.json | head -20); do echo "=== $f ===" && cat "$f" 2>/dev/null; done)
# 3. Analyze authentication middleware
bash(rg -n "auth|guard|middleware|jwt|bearer|token" -i --type ts --type js -g '!*.test.*' -g '!node_modules/**' 2>/dev/null | head -50)
# 4. Detect error handling patterns
bash(rg -n "HttpException|BadRequest|Unauthorized|Forbidden|NotFound|throw new" --type ts --type js -g '!*.test.*' 2>/dev/null | head -50)
```
**Deep Analysis via Gemini CLI**:
```bash
ccw cli -p "
PURPOSE: Analyze API structure and generate OpenAPI specification outline for comprehensive documentation
TASK:
• Parse all API endpoints and identify business module boundaries
• Extract request parameters, request bodies, and response formats
• Identify authentication mechanisms and security requirements
• Discover error handling patterns and error codes
• Map endpoints to logical module groups
MODE: analysis
CONTEXT: @src/**/*.controller.ts @src/**/*.routes.ts @src/**/*.dto.ts @src/**/middleware/**/*
EXPECTED: JSON format API structure analysis report with modules, endpoints, security schemes, and error codes
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | Strict RESTful standards | Identify all public endpoints | Document output language: {lang}
" --tool gemini --mode analysis --cd {project_root}
```
**Update swagger-planning-data.json** with analysis results:
```json
{
"api_structure": {
"modules": [
{
"name": "Users",
"name_zh": "用户模块",
"base_path": "/api/v1/users",
"endpoints": [
{
"path": "/api/v1/users",
"method": "GET",
"operation_id": "listUsers",
"summary": "List all users",
"summary_zh": "获取用户列表",
"description": "Paginated list of system users with filtering by status and role",
"description_zh": "分页获取系统用户列表,支持按状态、角色筛选",
"tags": ["User Management"],
"tags_zh": ["用户管理"],
"security": ["bearerAuth"],
"parameters": {
"query": ["page", "limit", "status", "role"]
},
"responses": {
"200": "UserListResponse",
"401": "UnauthorizedError",
"403": "ForbiddenError"
}
}
]
}
],
"security_schemes": {
"bearerAuth": {
"type": "http",
"scheme": "bearer",
"bearerFormat": "JWT",
"description": "JWT Token authentication. Add Authorization: Bearer <token> to request header"
}
},
"error_codes": [
{"code": "AUTH_001", "status": 401, "message": "Invalid or expired token", "message_zh": "Token 无效或已过期"},
{"code": "AUTH_002", "status": 401, "message": "Authentication required", "message_zh": "未提供认证信息"},
{"code": "AUTH_003", "status": 403, "message": "Insufficient permissions", "message_zh": "权限不足"}
]
}
}
```
### Phase 4: Task Decomposition
**Task Hierarchy**:
```
Level 1: Infrastructure Tasks (Parallel)
├─ IMPL-001: Generate main OpenAPI spec file (swagger.yaml)
├─ IMPL-002: Generate global security config and auth documentation
└─ IMPL-003: Generate unified error code specification
Level 2: Module Documentation Tasks (Parallel, by business module)
├─ IMPL-004: Users module API documentation
├─ IMPL-005: Auth module API documentation
├─ IMPL-006: Business module N API documentation
└─ ...
Level 3: Aggregation Tasks (Depends on Level 1-2)
├─ IMPL-N+1: Generate API overview and navigation
└─ IMPL-N+2: Generate version history and changelog
Level 4: Validation Tasks (Depends on Level 1-3)
├─ IMPL-N+3: API endpoint validation tests
└─ IMPL-N+4: Boundary condition tests
```
**Grouping Strategy**:
1. Group by business module (users, orders, products, etc.)
2. Maximum 10 endpoints per task
3. Large modules (>10 endpoints) split by submodules
**Commands**:
```bash
# 1. Count endpoints by module
bash(cat ${session_dir}/.process/swagger-planning-data.json | jq '.statistics.by_module')
# 2. Calculate task groupings
bash(cat ${session_dir}/.process/swagger-planning-data.json | jq -r '.api_structure.modules[] | "\(.name):\(.endpoints | length)"')
```
**Data Processing**: Use **Edit tool** to update `swagger-planning-data.json` with task groups:
```json
{
"task_groups": {
"level1_count": 3,
"level2_count": 5,
"total_count": 12,
"assignments": [
{"task_id": "IMPL-001", "level": 1, "type": "openapi-spec", "title": "Generate OpenAPI main spec file"},
{"task_id": "IMPL-002", "level": 1, "type": "security", "title": "Generate global security config"},
{"task_id": "IMPL-003", "level": 1, "type": "error-codes", "title": "Generate error code specification"},
{"task_id": "IMPL-004", "level": 2, "type": "module-doc", "module": "users", "endpoint_count": 12},
{"task_id": "IMPL-005", "level": 2, "type": "module-doc", "module": "auth", "endpoint_count": 8}
]
}
}
```
### Phase 5: Generate Task JSONs
**Generation Process**:
1. Read configuration values from workflow-session.json
2. Read task groups from swagger-planning-data.json
3. Generate Level 1 tasks (infrastructure)
4. Generate Level 2 tasks (by module)
5. Generate Level 3-4 tasks (aggregation and validation)
## Task Templates
### Level 1-1: OpenAPI Main Spec File
```json
{
"id": "IMPL-001",
"title": "Generate OpenAPI main specification file",
"status": "pending",
"meta": {
"type": "swagger-openapi-spec",
"agent": "@doc-generator",
"tool": "gemini",
"priority": "critical"
},
"context": {
"requirements": [
"Generate OpenAPI 3.0.3 compliant swagger.yaml",
"Include complete info, servers, tags, paths, components definitions",
"Follow RESTful design standards, use {lang} for descriptions"
],
"precomputed_data": {
"planning_data": "${session_dir}/.process/swagger-planning-data.json"
}
},
"flow_control": {
"pre_analysis": [
{
"step": "load_analysis_data",
"action": "Load API analysis data",
"commands": [
"bash(cat ${session_dir}/.process/swagger-planning-data.json)"
],
"output_to": "api_analysis"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Generate OpenAPI spec file",
"description": "Create complete swagger.yaml specification file",
"cli_prompt": "PURPOSE: Generate OpenAPI 3.0.3 specification file from analyzed API structure\nTASK:\n• Define openapi version: 3.0.3\n• Define info: title, description, version, contact, license\n• Define servers: development, staging, production environments\n• Define tags: organized by business modules\n• Define paths: all API endpoints with complete specifications\n• Define components: schemas, securitySchemes, parameters, responses\nMODE: write\nCONTEXT: @[api_analysis]\nEXPECTED: Complete swagger.yaml file following OpenAPI 3.0.3 specification\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) $(cat ~/.claude/workflows/cli-templates/prompts/documentation/swagger-api.txt) | Use {lang} for all descriptions | Strict RESTful standards",
"output": "swagger.yaml"
}
],
"target_files": [
".workflow/docs/${project_name}/api/swagger.yaml"
]
}
}
```
### Level 1-2: Global Security Configuration
```json
{
"id": "IMPL-002",
"title": "Generate global security configuration and authentication guide",
"status": "pending",
"meta": {
"type": "swagger-security",
"agent": "@doc-generator",
"tool": "gemini"
},
"context": {
"requirements": [
"Document Authorization header format in detail",
"Describe token acquisition, refresh, and expiration mechanisms",
"List permission requirements for each endpoint"
]
},
"flow_control": {
"pre_analysis": [
{
"step": "analyze_auth",
"command": "bash(rg -n 'auth|guard|jwt|bearer' -i --type ts -g '!*.test.*' 2>/dev/null | head -50)",
"output_to": "auth_patterns"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Generate authentication documentation",
"cli_prompt": "PURPOSE: Generate comprehensive authentication documentation for API security\nTASK:\n• Document authentication mechanism: JWT Bearer Token\n• Explain header format: Authorization: Bearer <token>\n• Describe token lifecycle: acquisition, refresh, expiration handling\n• Define permission levels: public, user, admin, super_admin\n• Document authentication failure responses: 401/403 error handling\nMODE: write\nCONTEXT: @[auth_patterns] @src/**/auth/**/* @src/**/guard/**/*\nEXPECTED: Complete authentication guide in {lang}\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) | Include code examples | Clear step-by-step instructions",
"output": "{auth_doc_name}"
}
],
"target_files": [
".workflow/docs/${project_name}/api/{overview_dir}/{auth_doc_name}"
]
}
}
```
### Level 1-3: Unified Error Code Specification
```json
{
"id": "IMPL-003",
"title": "Generate unified error code specification",
"status": "pending",
"meta": {
"type": "swagger-error-codes",
"agent": "@doc-generator",
"tool": "gemini"
},
"context": {
"requirements": [
"Define unified error response format",
"Create categorized error code system (auth, business, system)",
"Provide detailed description and examples for each error code"
]
},
"flow_control": {
"implementation_approach": [
{
"step": 1,
"title": "Generate error code specification document",
"cli_prompt": "PURPOSE: Generate comprehensive error code specification for consistent API error handling\nTASK:\n• Define error response format: {code, message, details, timestamp}\n• Document authentication errors (AUTH_xxx): 401/403 series\n• Document parameter errors (PARAM_xxx): 400 series\n• Document business errors (BIZ_xxx): business logic errors\n• Document system errors (SYS_xxx): 500 series\n• For each error code: HTTP status, error message, possible causes, resolution suggestions\nMODE: write\nCONTEXT: @src/**/*.exception.ts @src/**/*.filter.ts\nEXPECTED: Complete error code specification in {lang} with tables and examples\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) | Include response examples | Clear categorization",
"output": "{error_doc_name}"
}
],
"target_files": [
".workflow/docs/${project_name}/api/{overview_dir}/{error_doc_name}"
]
}
}
```
### Level 2: Module API Documentation (Template)
```json
{
"id": "IMPL-${module_task_id}",
"title": "Generate ${module_name} API documentation",
"status": "pending",
"depends_on": ["IMPL-001", "IMPL-002", "IMPL-003"],
"meta": {
"type": "swagger-module-doc",
"agent": "@doc-generator",
"tool": "gemini",
"module": "${module_name}",
"endpoint_count": "${endpoint_count}"
},
"context": {
"requirements": [
"Complete documentation for all endpoints in this module",
"Each endpoint: description, method, URL, parameters, responses",
"Include success and failure response examples",
"Mark API version and last update time"
],
"focus_paths": ["${module_source_paths}"]
},
"flow_control": {
"pre_analysis": [
{
"step": "load_module_endpoints",
"action": "Load module endpoint information",
"commands": [
"bash(cat ${session_dir}/.process/swagger-planning-data.json | jq '.api_structure.modules[] | select(.name == \"${module_name}\")')"
],
"output_to": "module_endpoints"
},
{
"step": "read_source_files",
"action": "Read module source files",
"commands": [
"bash(cat ${module_source_files})"
],
"output_to": "source_code"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Generate module API documentation",
"description": "Generate complete API documentation for ${module_name}",
"cli_prompt": "PURPOSE: Generate complete RESTful API documentation for ${module_name} module\nTASK:\n• Create module overview: purpose, use cases, prerequisites\n• Generate endpoint index: grouped by functionality\n• For each endpoint document:\n - Functional description: purpose and business context\n - Request method: GET/POST/PUT/DELETE\n - URL path: complete API path\n - Request headers: Authorization and other required headers\n - Path parameters: {id} and other path variables\n - Query parameters: pagination, filters, etc.\n - Request body: JSON Schema format\n - Response body: success and error responses\n - Field description table: type, required, example, description\n• Add usage examples: cURL, JavaScript, Python\n• Add version info: v1.0.0, last updated date\nMODE: write\nCONTEXT: @[module_endpoints] @[source_code]\nEXPECTED: Complete module API documentation in {lang} with all endpoints fully documented\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) $(cat ~/.claude/workflows/cli-templates/prompts/documentation/swagger-api.txt) | RESTful standards | Include all response codes",
"output": "${module_doc_name}"
}
],
"target_files": [
".workflow/docs/${project_name}/api/${module_dir}/${module_doc_name}"
]
}
}
```
### Level 3: API Overview and Navigation
```json
{
"id": "IMPL-${overview_task_id}",
"title": "Generate API overview and navigation",
"status": "pending",
"depends_on": ["IMPL-001", "...", "IMPL-${last_module_task_id}"],
"meta": {
"type": "swagger-overview",
"agent": "@doc-generator",
"tool": "gemini"
},
"flow_control": {
"pre_analysis": [
{
"step": "load_all_docs",
"command": "bash(find .workflow/docs/${project_name}/api -type f -name '*.md' ! -path '*/{overview_dir}/*' | xargs cat)",
"output_to": "all_module_docs"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Generate API overview",
"cli_prompt": "PURPOSE: Generate API overview document with navigation and quick start guide\nTASK:\n• Create introduction: system features, tech stack, version\n• Write quick start guide: authentication, first request example\n• Build module navigation: categorized links to all modules\n• Document environment configuration: development, staging, production\n• List SDKs and tools: client libraries, Postman collection\nMODE: write\nCONTEXT: @[all_module_docs] @.workflow/docs/${project_name}/api/swagger.yaml\nEXPECTED: Complete API overview in {lang} with navigation links\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) | Clear structure | Quick start focus",
"output": "README.md"
}
],
"target_files": [
".workflow/docs/${project_name}/api/{overview_dir}/README.md"
]
}
}
```
### Level 4: Validation Tasks
```json
{
"id": "IMPL-${test_task_id}",
"title": "API endpoint validation tests",
"status": "pending",
"depends_on": ["IMPL-${overview_task_id}"],
"meta": {
"type": "swagger-validation",
"agent": "@test-fix-agent",
"tool": "codex"
},
"context": {
"requirements": [
"Validate accessibility of all endpoints",
"Test various boundary conditions",
"Verify exception handling"
]
},
"flow_control": {
"pre_analysis": [
{
"step": "load_swagger_spec",
"command": "bash(cat .workflow/docs/${project_name}/api/swagger.yaml)",
"output_to": "swagger_spec"
}
],
"implementation_approach": [
{
"step": 1,
"title": "Generate test report",
"cli_prompt": "PURPOSE: Generate comprehensive API test validation report\nTASK:\n• Document test environment configuration\n• Calculate endpoint coverage statistics\n• Report test results: pass/fail counts\n• Document boundary tests: parameter limits, null values, special characters\n• Document exception tests: auth failures, permission denied, resource not found\n• List issues found with recommendations\nMODE: write\nCONTEXT: @[swagger_spec]\nEXPECTED: Complete test report in {lang} with detailed results\nRULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md) | Include test cases | Clear pass/fail status",
"output": "{test_doc_name}"
}
],
"target_files": [
".workflow/docs/${project_name}/api/{test_dir}/{test_doc_name}"
]
}
}
```
## Language-Specific Directory Mapping
| Component | --lang zh | --lang en |
|-----------|-----------|-----------|
| Overview dir | 概述 | overview |
| Auth doc | 认证说明.md | authentication.md |
| Error doc | 错误码规范.md | error-codes.md |
| Changelog | 版本历史.md | changelog.md |
| Users module | 用户模块 | users |
| Orders module | 订单模块 | orders |
| Products module | 商品模块 | products |
| Test dir | 测试报告 | test-reports |
| API test doc | 接口测试.md | api-tests.md |
| Boundary test doc | 边界测试.md | boundary-tests.md |
## API Documentation Template
### Single Endpoint Format
Each endpoint must include:
```markdown
### Get User Details
**Description**: Retrieve detailed user information by ID, including profile and permissions.
**Endpoint Info**:
| Property | Value |
|----------|-------|
| Method | GET |
| URL | `/api/v1/users/{id}` |
| Version | v1.0.0 |
| Updated | 2025-01-01 |
| Auth | Bearer Token |
| Permission | user / admin |
**Request Headers**:
| Field | Type | Required | Example | Description |
|-------|------|----------|---------|-------------|
| Authorization | string | Yes | `Bearer eyJhbGc...` | JWT Token |
| Content-Type | string | No | `application/json` | Request content type |
**Path Parameters**:
| Field | Type | Required | Example | Description |
|-------|------|----------|---------|-------------|
| id | string | Yes | `usr_123456` | Unique user identifier |
**Query Parameters**:
| Field | Type | Required | Default | Example | Description |
|-------|------|----------|---------|---------|-------------|
| include | string | No | - | `roles,permissions` | Related data to include |
**Success Response** (200 OK):
```json
{
"code": 0,
"message": "success",
"data": {
"id": "usr_123456",
"email": "user@example.com",
"name": "John Doe",
"status": "active",
"roles": ["user"],
"created_at": "2025-01-01T00:00:00Z",
"updated_at": "2025-01-01T00:00:00Z"
},
"timestamp": "2025-01-01T12:00:00Z"
}
```
**Response Fields**:
| Field | Type | Description |
|-------|------|-------------|
| code | integer | Business status code, 0 = success |
| message | string | Response message |
| data.id | string | Unique user identifier |
| data.email | string | User email address |
| data.name | string | User display name |
| data.status | string | User status: active/inactive/suspended |
| data.roles | array | User role list |
| data.created_at | string | Creation timestamp (ISO 8601) |
| data.updated_at | string | Last update timestamp (ISO 8601) |
**Error Responses**:
| Status | Code | Message | Possible Cause |
|--------|------|---------|----------------|
| 401 | AUTH_001 | Invalid or expired token | Token format error or expired |
| 403 | AUTH_003 | Insufficient permissions | No access to this user info |
| 404 | USER_001 | User not found | User ID doesn't exist or deleted |
**Examples**:
```bash
# cURL
curl -X GET "https://api.example.com/api/v1/users/usr_123456" \
-H "Authorization: Bearer eyJhbGc..." \
-H "Content-Type: application/json"
```
```javascript
// JavaScript (fetch)
const response = await fetch('https://api.example.com/api/v1/users/usr_123456', {
method: 'GET',
headers: {
'Authorization': 'Bearer eyJhbGc...',
'Content-Type': 'application/json'
}
});
const data = await response.json();
```
```
## Session Structure
```
.workflow/active/
└── WFS-swagger-{timestamp}/
├── workflow-session.json
├── IMPL_PLAN.md
├── TODO_LIST.md
├── .process/
│ └── swagger-planning-data.json
└── .task/
├── IMPL-001.json # OpenAPI spec
├── IMPL-002.json # Security config
├── IMPL-003.json # Error codes
├── IMPL-004.json # Module 1 API
├── ...
├── IMPL-N+1.json # API overview
└── IMPL-N+2.json # Validation tests
```
## Execution Commands
```bash
# Execute entire workflow
/workflow:execute
# Specify session
/workflow:execute --resume-session="WFS-swagger-yyyymmdd-hhmmss"
# Single task execution
/task:execute IMPL-001
```
## Related Commands
- `/workflow:execute` - Execute documentation tasks
- `/workflow:status` - View task progress
- `/workflow:session:complete` - Mark session complete
- `/memory:docs` - General documentation workflow

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

@@ -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

@@ -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

@@ -128,6 +128,7 @@ for (let i = 0; i < allQuestions.length; i += BATCH_SIZE) {
```javascript
Task(
subagent_type="context-search-agent",
run_in_background=false,
description="Gather project context for brainstorm",
prompt=`
Execute context-search-agent in BRAINSTORM MODE (Phase 1-2 only).

View File

@@ -9,11 +9,11 @@ allowed-tools: SlashCommand(*), Task(*), TodoWrite(*), Read(*), Write(*), Bash(*
## Coordinator Role
**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.
**This command is a pure orchestrator**: Executes 3 phases in sequence (interactive framework → parallel role analysis → synthesis), coordinating specialized commands/agents through task attachment model.
**Task Attachment Model**:
- SlashCommand dispatch **expands workflow** by attaching sub-tasks to current TodoWrite
- Task agent dispatch **attaches analysis tasks** to orchestrator's TodoWrite
- SlashCommand execute **expands workflow** by attaching sub-tasks to current TodoWrite
- Task agent execute **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. **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
2. **Execute Phase 1** → artifacts command (tasks ATTACHED) → Auto-continues
3. **Execute Phase 2** → Parallel role agents (N tasks ATTACHED concurrently) → Auto-continues
4. **Execute 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 dispatch Phase 1 command
1. **Start Immediately**: First action is TodoWrite initialization, second action is execute 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 dispatch next pending phase automatically
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 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
6. **Task Attachment Model**: SlashCommand and Task executes **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
8. **Parallel Execution**: Phase 2 attaches multiple agent tasks simultaneously for concurrent execution
## Usage
@@ -67,7 +67,7 @@ This workflow runs **fully autonomously** once triggered. Phase 1 (artifacts) ha
### Phase 1: Interactive Framework Generation
**Step 1: Dispatch** - Interactive framework generation via artifacts command
**Step 1: Execute** - Interactive framework generation via artifacts command
```javascript
SlashCommand(command="/workflow:brainstorm:artifacts \"{topic}\" --count {N}")
@@ -91,7 +91,7 @@ SlashCommand(command="/workflow:brainstorm:artifacts \"{topic}\" --count {N}")
- workflow-session.json contains selected_roles[] (metadata only, no content duplication)
- Session directory `.workflow/active/WFS-{topic}/.brainstorming/` exists
**TodoWrite Update (Phase 1 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 1 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
@@ -106,7 +106,7 @@ SlashCommand(command="/workflow:brainstorm:artifacts \"{topic}\" --count {N}")
]
```
**Note**: SlashCommand dispatch **attaches** artifacts' 5 internal tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand execute **attaches** artifacts' 5 internal tasks. Orchestrator **executes** these tasks sequentially.
**Next Action**: Tasks attached → **Execute Phase 1.1-1.5** sequentially
@@ -167,7 +167,7 @@ TOPIC: {user-provided-topic}
"
```
**Parallel Dispatch**:
**Parallel Execute**:
- 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
@@ -185,7 +185,7 @@ TOPIC: {user-provided-topic}
- **FORBIDDEN**: `recommendations.md` or any non-`analysis` prefixed files
- All N role analyses completed
**TodoWrite Update (Phase 2 agents dispatched - tasks attached in parallel)**:
**TodoWrite Update (Phase 2 agents executed - tasks attached in parallel)**:
```json
[
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
@@ -198,7 +198,7 @@ TOPIC: {user-provided-topic}
]
```
**Note**: Multiple Task dispatches **attach** N role analysis tasks simultaneously. Orchestrator **executes** these tasks in parallel.
**Note**: Multiple Task executes **attach** N role analysis tasks simultaneously. Orchestrator **executes** these tasks in parallel.
**Next Action**: Tasks attached → **Execute Phase 2.1-2.N** concurrently
@@ -220,7 +220,7 @@ TOPIC: {user-provided-topic}
### Phase 3: Synthesis Generation
**Step 3: Dispatch** - Synthesis integration via synthesis command
**Step 3: Execute** - Synthesis integration via synthesis command
```javascript
SlashCommand(command="/workflow:brainstorm:synthesis --session {sessionId}")
@@ -238,7 +238,7 @@ SlashCommand(command="/workflow:brainstorm:synthesis --session {sessionId}")
- `.workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.md` exists
- Synthesis references all role analyses
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 3 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Phase 0: Parameter Parsing", "status": "completed", "activeForm": "Parsing count parameter"},
@@ -251,7 +251,7 @@ SlashCommand(command="/workflow:brainstorm:synthesis --session {sessionId}")
]
```
**Note**: SlashCommand dispatch **attaches** synthesis' internal tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand execute **attaches** synthesis' internal tasks. Orchestrator **executes** these tasks sequentially.
**Next Action**: Tasks attached → **Execute Phase 3.1-3.3** sequentially
@@ -284,7 +284,7 @@ Synthesis: .workflow/active/WFS-{topic}/.brainstorming/synthesis-specification.m
### Key Principles
1. **Task Attachment** (when SlashCommand/Task dispatched):
1. **Task Attachment** (when SlashCommand/Task executed):
- 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
@@ -305,7 +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 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.
**Lifecycle Summary**: Initial pending tasks → Phase 1 executed (artifacts tasks ATTACHED) → Artifacts sub-tasks executed → Phase 1 completed (tasks COLLAPSED) → Phase 2 executed (N role tasks ATTACHED in parallel) → Role analyses executed concurrently → Phase 2 completed (tasks COLLAPSED) → Phase 3 executed (synthesis tasks ATTACHED) → Synthesis sub-tasks executed → Phase 3 completed (tasks COLLAPSED) → Workflow complete.
### Brainstorming Workflow Specific Features
@@ -424,6 +424,17 @@ CONTEXT_VARS:
- **Agent execution failure**: Agent-specific retry with minimal dependencies
- **Template loading issues**: Agent handles graceful degradation
- **Synthesis conflicts**: Synthesis highlights disagreements without resolution
- **Context overflow protection**: See below for automatic context management
## Context Overflow Protection
**Per-role limits**: See `conceptual-planning-agent.md` (< 3000 words main, < 2000 words sub-docs, max 5 sub-docs)
**Synthesis protection**: If total analysis > 100KB, synthesis reads only `analysis.md` files (not sub-documents)
**Recovery**: Check logs → reduce scope (--count 2) → use --summary-only → manual synthesis
**Prevention**: Start with --count 3, use structured topic format, review output sizes before synthesis
## Reference Information

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-tech.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-tech.json if features referenced deleted sessions
const projectPath = '.workflow/project-tech.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 +1,327 @@
---
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
```
## Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
---
## 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 |

View File

@@ -23,7 +23,7 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
## 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.**
**User-choice completion: When all tasks finished, ask user to choose review or complete.**
**ONE AGENT = ONE TASK JSON: Each agent instance executes exactly one task JSON file - never batch multiple tasks into single agent execution.**
## Core Responsibilities
@@ -33,7 +33,7 @@ Orchestrates autonomous workflow execution through systematic task discovery, ag
- **Agent Orchestration**: Coordinate specialized agents with complete context
- **Status Synchronization**: Update task JSON files and workflow state
- **Autonomous Completion**: Continue execution until all tasks complete or reach blocking state
- **Session Auto-Complete**: Call `/workflow:session:complete` when all workflow tasks finished
- **Session User-Choice Completion**: Ask user to choose review or complete when all tasks finished
## Execution Philosophy
- **Progress tracking**: Continuous TodoWrite updates throughout entire workflow execution
@@ -56,6 +56,7 @@ Phase 2: Planning Document Validation
└─ 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
@@ -67,17 +68,22 @@ Phase 4: Execution Strategy & Task Execution
├─ Get next in_progress task from TodoWrite
├─ Lazy load task JSON
├─ Launch agent with task context
├─ Mark task completed
├─ 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":$ts}]' IMPL-X.json > tmp.json && mv tmp.json IMPL-X.json
└─ Advance to next task
Phase 5: Completion
├─ Update task statuses in JSON files
├─ Generate summaries
└─ Auto-call /workflow:session:complete
└─ AskUserQuestion: Choose next step
├─ "Enter Review" → /workflow:review
└─ "Complete Session" → /workflow:session:complete
Resume Mode (--resume-session):
├─ Skip Phase 1 & Phase 2
└─ Entry Point: Phase 3 (TodoWrite Generation)
├─ Update session status to "active" (if not already)
└─ Continue: Phase 4 → Phase 5
```
@@ -113,14 +119,7 @@ Auto-select and continue to Phase 2.
List sessions with metadata and prompt user selection:
```bash
bash(for dir in .workflow/active/WFS-*/; do
session=$(basename "$dir")
project=$(jq -r '.project // "Unknown"' "$dir/workflow-session.json" 2>/dev/null)
total=$(grep -c "^- \[" "$dir/TODO_LIST.md" 2>/dev/null || echo "0")
completed=$(grep -c "^- \[x\]" "$dir/TODO_LIST.md" 2>/dev/null || echo "0")
[ "$total" -gt 0 ] && progress=$((completed * 100 / total)) || progress=0
echo "${session} | ${project} | ${completed}/${total} tasks (${progress}%)"
done)
bash(for dir in .workflow/active/WFS-*/; do [ -d "$dir" ] || continue; session=$(basename "$dir"); project=$(jq -r '.project // "Unknown"' "${dir}workflow-session.json" 2>/dev/null || echo "Unknown"); total=$(grep -c '^\- \[' "${dir}TODO_LIST.md" 2>/dev/null || echo 0); completed=$(grep -c '^\- \[x\]' "${dir}TODO_LIST.md" 2>/dev/null || echo 0); if [ "$total" -gt 0 ]; then progress=$((completed * 100 / total)); else progress=0; fi; echo "$session | $project | $completed/$total tasks ($progress%)"; done)
```
Use AskUserQuestion to present formatted options (max 4 options shown):
@@ -177,6 +176,16 @@ bash(cat .workflow/active/${sessionId}/workflow-session.json)
### 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
@@ -240,7 +249,35 @@ while (TODO_LIST.md has pending tasks) {
3. **Update TodoWrite**: Mark current task complete, advance to next
4. **Synchronize State**: Update session state and workflow status
5. **Check Workflow Complete**: Verify all tasks are completed
6. **Auto-Complete Session**: Call `/workflow:session:complete` when all tasks finished
6. **User Choice**: When all tasks finished, ask user to choose next step:
```javascript
AskUserQuestion({
questions: [{
question: "All tasks completed. What would you like to do next?",
header: "Next Step",
multiSelect: false,
options: [
{
label: "Enter Review",
description: "Run specialized review (security/architecture/quality/action-items)"
},
{
label: "Complete Session",
description: "Archive session and update manifest"
}
]
}]
})
```
**Based on user selection**:
- **"Enter Review"**: Execute `/workflow:review`
- **"Complete Session"**: Execute `/workflow:session:complete`
### Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
## Execution Strategy (IMPL_PLAN-Driven)
@@ -316,7 +353,7 @@ blocked → skip until dependencies clear
- **Continuous Tracking**: Maintain TodoWrite throughout entire workflow execution until completion
**Rule 4: Workflow Completion Check**
- When all tasks marked `completed`, auto-call `/workflow:session:complete`
- When all tasks marked `completed`, prompt user to choose review or complete session
### TodoWrite Tool Usage
@@ -374,39 +411,40 @@ TodoWrite({
**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.
**Path-Based Invocation**: Pass paths and trigger markers, let agent parse task JSON autonomously.
```bash
Task(subagent_type="{meta.agent}",
prompt="Execute task: {task.title}
run_in_background=false,
prompt="Implement task {task.id}: {task.title}
{[FLOW_CONTROL]}
[FLOW_CONTROL]
**Task Objectives** (from task JSON):
{task.context.objective}
**Expected Deliverables** (from task JSON):
{task.context.deliverables}
**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}
Follow complete execution guidelines in @.claude/agents/{meta.agent}.md
**Session Paths**:
- Workflow Dir: {session.workflow_dir}
- TODO List: {session.todo_list_path}
- Summaries Dir: {session.summaries_dir}
**Input**:
- Task JSON: {session.task_json_path}
- Context Package: {session.context_package_path}
**Success Criteria**: Complete all objectives, meet all quality standards, deliver all outputs as specified above.",
description="Executing: {task.title}")
**Output Location**:
- Workflow: {session.workflow_dir}
- TODO List: {session.todo_list_path}
- Summaries: {session.summaries_dir}
**Execution**: Read task JSON → Parse flow_control → Execute implementation_approach → Update TODO_LIST.md → Generate summary",
description="Implement: {task.id}")
```
**Key Markers**:
- `Implement` keyword: Triggers tech stack detection and guidelines loading
- `[FLOW_CONTROL]`: Triggers flow_control.pre_analysis execution
**Why Path-Based**: Agent (code-developer.md) autonomously:
- Reads and parses task JSON (requirements, acceptance, flow_control)
- Loads tech stack guidelines based on detected language
- Executes pre_analysis steps and implementation_approach
- Generates structured summary with integration points
Embedding task content in prompt creates duplication and conflicts with agent's parsing logic.
### Agent Assignment Rules
```
meta.agent specified → Use specified agent

View File

@@ -10,7 +10,11 @@ examples:
# Workflow Init Command (/workflow:init)
## Overview
Initialize `.workflow/project.json` with comprehensive project understanding by delegating analysis to **cli-explore-agent**.
Initialize `.workflow/project-tech.json` and `.workflow/project-guidelines.json` with comprehensive project understanding by delegating analysis to **cli-explore-agent**.
**Dual File System**:
- `project-tech.json`: Auto-generated technical analysis (stack, architecture, components)
- `project-guidelines.json`: User-maintained rules and constraints (created as scaffold)
**Note**: This command may be called by other workflow commands. Upon completion, return immediately to continue the calling workflow without interrupting the task flow.
@@ -27,7 +31,7 @@ Input Parsing:
└─ Parse --regenerate flag → regenerate = true | false
Decision:
├─ EXISTS + no --regenerate → Exit: "Already initialized"
├─ BOTH_EXIST + no --regenerate → Exit: "Already initialized"
├─ EXISTS + --regenerate → Backup existing → Continue analysis
└─ NOT_FOUND → Continue analysis
@@ -37,11 +41,14 @@ Analysis Flow:
│ ├─ Structural scan (get_modules_by_depth.sh, find, wc)
│ ├─ Semantic analysis (Gemini CLI)
│ ├─ Synthesis and merge
│ └─ Write .workflow/project.json
│ └─ Write .workflow/project-tech.json
├─ Create guidelines scaffold (if not exists)
│ └─ Write .workflow/project-guidelines.json (empty structure)
└─ Display summary
Output:
─ .workflow/project.json (+ .backup if regenerate)
─ .workflow/project-tech.json (+ .backup if regenerate)
└─ .workflow/project-guidelines.json (scaffold if new)
```
## Implementation
@@ -56,13 +63,18 @@ const regenerate = $ARGUMENTS.includes('--regenerate')
**Check existing state**:
```bash
bash(test -f .workflow/project.json && echo "EXISTS" || echo "NOT_FOUND")
bash(test -f .workflow/project-tech.json && echo "TECH_EXISTS" || echo "TECH_NOT_FOUND")
bash(test -f .workflow/project-guidelines.json && echo "GUIDELINES_EXISTS" || echo "GUIDELINES_NOT_FOUND")
```
**If EXISTS and no --regenerate**: Exit early
**If BOTH_EXIST and no --regenerate**: Exit early
```
Project already initialized at .workflow/project.json
Use /workflow:init --regenerate to rebuild
Project already initialized:
- Tech analysis: .workflow/project-tech.json
- Guidelines: .workflow/project-guidelines.json
Use /workflow:init --regenerate to rebuild tech analysis
Use /workflow:session:solidify to add guidelines
Use /workflow:status --project to view state
```
@@ -78,7 +90,7 @@ bash(mkdir -p .workflow)
**For --regenerate**: Backup and preserve existing data
```bash
bash(cp .workflow/project.json .workflow/project.json.backup)
bash(cp .workflow/project-tech.json .workflow/project-tech.json.backup)
```
**Delegate analysis to agent**:
@@ -86,23 +98,34 @@ bash(cp .workflow/project.json .workflow/project.json.backup)
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description="Deep project analysis",
prompt=`
Analyze project for workflow initialization and generate .workflow/project.json.
Analyze project for workflow initialization and generate .workflow/project-tech.json.
## MANDATORY FIRST STEPS
1. Execute: cat ~/.claude/workflows/cli-templates/schemas/project-json-schema.json (get schema reference)
1. Execute: cat ~/.claude/workflows/cli-templates/schemas/project-tech-schema.json (get schema reference)
2. Execute: ccw tool exec get_modules_by_depth '{}' (get project structure)
## Task
Generate complete project.json with:
- project_name: ${projectName}
- initialized_at: current ISO timestamp
- overview: {description, technology_stack, architecture, key_components}
- features: ${regenerate ? 'preserve from backup' : '[] (empty)'}
Generate complete project-tech.json following the schema structure:
- project_name: "${projectName}"
- initialized_at: ISO 8601 timestamp
- overview: {
description: "Brief project description",
technology_stack: {
languages: [{name, file_count, primary}],
frameworks: ["string"],
build_tools: ["string"],
test_frameworks: ["string"]
},
architecture: {style, layers: [], patterns: []},
key_components: [{name, path, description, importance}]
}
- features: []
- 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}
- statistics: ${regenerate ? 'preserve from backup' : '{total_features: 0, total_sessions: 0, last_updated: ISO timestamp}'}
- _metadata: {initialized_by: "cli-explore-agent", analysis_timestamp: ISO timestamp, analysis_mode: "deep-scan"}
## Analysis Requirements
@@ -122,8 +145,8 @@ Generate complete project.json with:
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)
4. ${regenerate ? 'Merge with preserved development_index and statistics from .workflow/project-tech.json.backup' : ''}
5. Write JSON: Write('.workflow/project-tech.json', jsonContent)
6. Report: Return brief completion summary
Project root: ${projectRoot}
@@ -131,29 +154,66 @@ Project root: ${projectRoot}
)
```
### Step 3.5: Create Guidelines Scaffold (if not exists)
```javascript
// Only create if not exists (never overwrite user guidelines)
if (!file_exists('.workflow/project-guidelines.json')) {
const guidelinesScaffold = {
conventions: {
coding_style: [],
naming_patterns: [],
file_structure: [],
documentation: []
},
constraints: {
architecture: [],
tech_stack: [],
performance: [],
security: []
},
quality_rules: [],
learnings: [],
_metadata: {
created_at: new Date().toISOString(),
version: "1.0.0"
}
};
Write('.workflow/project-guidelines.json', JSON.stringify(guidelinesScaffold, null, 2));
}
```
### Step 4: Display Summary
```javascript
const projectJson = JSON.parse(Read('.workflow/project.json'));
const projectTech = JSON.parse(Read('.workflow/project-tech.json'));
const guidelinesExists = file_exists('.workflow/project-guidelines.json');
console.log(`
✓ Project initialized successfully
## Project Overview
Name: ${projectJson.project_name}
Description: ${projectJson.overview.description}
Name: ${projectTech.project_name}
Description: ${projectTech.overview.description}
### Technology Stack
Languages: ${projectJson.overview.technology_stack.languages.map(l => l.name).join(', ')}
Frameworks: ${projectJson.overview.technology_stack.frameworks.join(', ')}
Languages: ${projectTech.overview.technology_stack.languages.map(l => l.name).join(', ')}
Frameworks: ${projectTech.overview.technology_stack.frameworks.join(', ')}
### Architecture
Style: ${projectJson.overview.architecture.style}
Components: ${projectJson.overview.key_components.length} core modules
Style: ${projectTech.overview.architecture.style}
Components: ${projectTech.overview.key_components.length} core modules
---
Project state: .workflow/project.json
${regenerate ? 'Backup: .workflow/project.json.backup' : ''}
Files created:
- Tech analysis: .workflow/project-tech.json
- Guidelines: .workflow/project-guidelines.json ${guidelinesExists ? '(scaffold)' : ''}
${regenerate ? '- Backup: .workflow/project-tech.json.backup' : ''}
Next steps:
- Use /workflow:session:solidify to add project guidelines
- Use /workflow:plan to start planning
`);
```

View File

@@ -258,6 +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")
@@ -280,118 +307,74 @@ for (const call of sequential) {
}
```
**Option A: Agent Execution**
### Unified Task Prompt Builder
When to use:
- `executionMethod = "Agent"`
- `executionMethod = "Auto" AND complexity = "Low"`
**Task Formatting Principle**: Each task is a self-contained checklist. The executor only needs to know what THIS task requires. Same template for Agent and CLI.
**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
// Format single task as self-contained checklist
function formatTaskChecklist(task) {
return `
## ${task.title}
function buildExecutionPrompt(batch) {
// Task template (4 parts: Modification Points → How → Reference → Done)
const formatTask = (t) => `
## ${t.title}
**Target**: \`${task.file}\`
**Action**: ${task.action}
**Scope**: \`${t.scope}\` | **Action**: ${t.action}
### What to do
${task.description}
### Modification Points
${t.modification_points.map(p => `- **${p.file}** → \`${p.target}\`: ${p.change}`).join('\n')}
### How to do it
${task.implementation.map(step => `- ${step}`).join('\n')}
${t.description}
${t.implementation.map(step => `- ${step}`).join('\n')}
### Reference
- Pattern: ${task.reference.pattern}
- Examples: ${task.reference.files.join(', ')}
- Notes: ${task.reference.examples}
- Pattern: ${t.reference?.pattern || 'N/A'}
- Files: ${t.reference?.files?.join(', ') || 'N/A'}
${t.reference?.examples ? `- Notes: ${t.reference.examples}` : ''}
### Done when
${task.acceptance.map(c => `- [ ] ${c}`).join('\n')}
`
}
${t.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=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) {
// Build prompt
const sections = []
// 1. Previous work completion - what's already done (reference for continuity)
if (originalUserInput) sections.push(`## Goal\n${originalUserInput}`)
sections.push(`## Tasks\n${batch.tasks.map(formatTask).join('\n\n---\n')}`)
// Context (reference only)
const context = []
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: ${r.notes}` : ''}`
).join('\n\n')}`)
context.push(`### Previous Work\n${previousExecutionResults.map(r => `- ${r.tasksSummary}: ${r.status}`).join('\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}**: ${a}`).join('\n')}`)
context.push(`### Clarifications\n${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}`)
context.push(`### Artifacts\nPlan: ${executionContext.session.artifacts.plan}`)
}
if (context.length > 0) sections.push(`## Context\n${context.join('\n\n')}`)
sections.push(`Complete each task according to its "Done when" checklist.`)
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]
}
**Option A: Agent Execution**
When to use:
- `getTaskExecutor(task) === "agent"`
-`executionMethod = "Agent"` (全局 fallback)
-`executionMethod = "Auto" AND complexity = "Low"` (全局 fallback)
```javascript
Task(
subagent_type="code-developer",
run_in_background=false,
description=batch.taskSummary,
prompt=buildExecutionPrompt(batch)
)
```
**Result Collection**: After completion, collect result following `executionResult` structure (see Data Structures section)
@@ -399,84 +382,15 @@ function extractRelatedFiles(tasks) {
**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)
**Task Formatting Principle**: Same as Agent - each task is a self-contained checklist. No task numbering or position awareness.
Command format:
```bash
// Format single task as compact checklist for CLI
function formatTaskForCLI(task) {
return `
## ${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 => `- [ ] ${c}`).join('\n')}
`
}
// Build CLI prompt for batch
// Context provides REFERENCE information - not requirements to fulfill
function buildCLIPrompt(batch) {
const tasksSection = batch.tasks.map(t => formatTaskForCLI(t)).join('\n---\n')
let prompt = `${originalUserInput ? `## Goal\n${originalUserInput}\n\n` : ''}`
prompt += `## Tasks\n\n${tasksSection}\n`
// Context section - reference information only
const contextSections = []
// 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')}`)
}
// 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')}`)
}
// 3. User clarifications
if (clarificationContext) {
contextSections.push(`### Clarifications
${Object.entries(clarificationContext).map(([q, a]) => `- ${q}: ${a}`).join('\n')}`)
}
// 4. Plan artifact for deeper context
if (executionContext?.session?.artifacts?.plan) {
contextSections.push(`### Artifacts
Detailed plan: ${executionContext.session.artifacts.plan}`)
}
if (contextSections.length > 0) {
prompt += `\n## Context\n${contextSections.join('\n\n')}\n`
}
prompt += `\nComplete each task according to its "Done when" checklist.`
return prompt
}
codex --full-auto exec "${buildCLIPrompt(batch)}" --skip-git-repo-check -s danger-full-access
ccw cli -p "${buildExecutionPrompt(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
@@ -486,15 +400,57 @@ const timeoutByComplexity = {
"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 "${buildExecutionPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId} --resume ${previousCliId}`
: `ccw cli -p "${buildExecutionPrompt(batch)}" --tool codex --mode write --id ${fixedExecutionId}`
bash_result = Bash(
command=cli_command,
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 ${fixedExecutionId}-retry
`)
// Store for potential retry in same session
batch.resumeFromCliId = fixedExecutionId
}
```
**Result Collection**: After completion, analyze output and collect result following `executionResult` structure (include `cliExecutionId` for resume capability)
**Option C: CLI Execution (Gemini)**
When to use: `getTaskExecutor(task) === "gemini"` (分析类任务)
```bash
# 使用统一的 buildExecutionPrompt切换 tool 和 mode
ccw cli -p "${buildExecutionPrompt(batch)}" --tool gemini --mode analysis --id ${sessionId}-${batch.groupId}
```
### Step 4: Progress Tracking
@@ -541,15 +497,30 @@ RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-review-code-q
# - Report findings directly
# Method 2: Gemini Review (recommended)
gemini -p "[Shared Prompt Template with artifacts]"
ccw cli -p "[Shared Prompt Template with artifacts]" --tool gemini --mode analysis
# CONTEXT includes: @**/* @${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 plan acceptance criteria at ${plan.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:
@@ -560,11 +531,11 @@ codex --full-auto exec "[Verify plan acceptance criteria at ${plan.json}]" --ski
**Trigger**: After all executions complete (regardless of code review)
**Skip Condition**: Skip if `.workflow/project.json` does not exist
**Skip Condition**: Skip if `.workflow/project-tech.json` does not exist
**Operations**:
```javascript
const projectJsonPath = '.workflow/project.json'
const projectJsonPath = '.workflow/project-tech.json'
if (!fileExists(projectJsonPath)) return // Silent skip
const projectJson = JSON.parse(Read(projectJsonPath))
@@ -623,8 +594,10 @@ console.log(`✓ Development index: [${category}] ${entry.title}`)
| Empty file | File exists but no content | Error: "File is empty: {path}. Provide task description." |
| Invalid Enhanced Task JSON | JSON missing required fields | Warning: "Missing required fields. Treating as plain text." |
| Malformed JSON | JSON parsing fails | Treat as plain text (expected for non-JSON files) |
| Execution failure | Agent/Codex crashes | Display error, save partial progress, suggest retry |
| Execution failure | Agent/Codex crashes | Display error, use fixed ID `${sessionId}-${groupId}` for resume: `ccw cli -p "Continue" --resume <fixed-id> --id <fixed-id>-retry` |
| Execution timeout | CLI exceeded timeout | Use fixed ID for resume with extended timeout |
| Codex unavailable | Codex not installed | Show installation instructions, offer Agent execution |
| Fixed ID not found | Custom ID lookup failed | Check `ccw cli history`, verify date directories |
## Data Structures
@@ -646,10 +619,15 @@ Passed from lite-plan via global variable:
explorationAngles: string[], // List of exploration angles
explorationManifest: {...} | null, // Exploration manifest
clarificationContext: {...} | null,
executionMethod: "Agent" | "Codex" | "Auto",
executionMethod: "Agent" | "Codex" | "Auto", // 全局默认
codeReviewTool: "Skip" | "Gemini Review" | "Agent Review" | string,
originalUserInput: string,
// 任务级 executor 分配(优先于 executionMethod
executorAssignments: {
[taskId]: { executor: "gemini" | "codex" | "agent", reason: string }
},
// Session artifacts location (saved by lite-plan)
session: {
id: string, // Session identifier: {taskSlug}-{shortTimestamp}
@@ -679,8 +657,24 @@ Collected after each execution call completes:
tasksSummary: string, // Brief description of tasks handled
completionSummary: string, // What was completed
keyOutputs: string, // Files created/modified, key changes
notes: string // Important context for next execution
notes: string, // Important context for next execution
fixedCliId: string | null // Fixed CLI execution ID (e.g., "implement-auth-2025-12-13-P1")
}
```
Appended to `previousExecutionResults` array for context continuity in multi-execution scenarios.
## Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
**Fixed ID Pattern**: `${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
```

View File

@@ -17,7 +17,7 @@ Intelligent lightweight bug fixing command with dynamic workflow adaptation base
- Interactive clarification after diagnosis to gather missing information
- Adaptive fix planning strategy (direct Claude vs cli-lite-planning-agent) based on complexity
- Two-step confirmation: fix-plan display -> multi-dimensional input collection
- Execution dispatch with complete context handoff to lite-execute
- Execution execute with complete context handoff to lite-execute
## Usage
@@ -62,7 +62,7 @@ Phase 4: Confirmation & Selection
|- Execution: Agent / Codex / Auto
+- Review: Gemini / Agent / Skip
Phase 5: Dispatch
Phase 5: Execute
|- Build executionContext (fix-plan + diagnoses + clarifications + selections)
+- SlashCommand("/workflow:lite-execute --in-memory --mode bugfix")
```
@@ -164,6 +164,7 @@ Launching ${selectedAngles.length} parallel diagnoses...
const diagnosisTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Diagnose: ${angle}`,
prompt=`
## Task Objective
@@ -180,6 +181,8 @@ Execute **${angle}** diagnosis for bug root cause analysis. Analyze codebase fro
1. Run: ccw tool exec get_modules_by_depth '{}' (project structure)
2. Run: rg -l "{error_keyword_from_bug}" --type ts (locate relevant files)
3. Execute: cat ~/.claude/workflows/cli-templates/schemas/diagnosis-json-schema.json (get output schema reference)
4. Read: .workflow/project-tech.json (technology stack and architecture context)
5. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
## Diagnosis Strategy (${angle} focus)
@@ -400,6 +403,7 @@ Write(`${sessionFolder}/fix-plan.json`, JSON.stringify(fixPlan, null, 2))
```javascript
Task(
subagent_type="cli-lite-planning-agent",
run_in_background=false,
description="Generate detailed fix plan",
prompt=`
Generate fix plan and write fix-plan.json.
@@ -407,6 +411,12 @@ Generate fix plan and write fix-plan.json.
## Output Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/fix-plan-json-schema.json (get schema reference before generating plan)
## Project Context (MANDATORY - Read Both Files)
1. Read: .workflow/project-tech.json (technology stack, architecture, key components)
2. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
**CRITICAL**: All fix tasks MUST comply with constraints in project-guidelines.json
## Bug Description
${bug_description}
@@ -533,7 +543,7 @@ AskUserQuestion({
---
### Phase 5: Dispatch to Execution
### Phase 5: Execute to Execution
**CRITICAL**: lite-fix NEVER executes code directly. ALL execution MUST go through lite-execute.
@@ -578,7 +588,7 @@ executionContext = {
}
```
**Step 5.2: Dispatch**
**Step 5.2: Execute**
```javascript
SlashCommand(command="/workflow:lite-execute --in-memory --mode bugfix")

View File

@@ -0,0 +1,433 @@
---
name: workflow:lite-lite-lite
description: Ultra-lightweight multi-tool analysis and direct execution. No artifacts, auto tool selection based on task analysis, user-driven iteration via AskUser.
argument-hint: "<task description>"
allowed-tools: TodoWrite(*), Task(*), AskUserQuestion(*), Read(*), Bash(*), mcp__ace-tool__search_context(*)
---
# Ultra-Lite Multi-Tool Workflow
## Quick Start
```bash
/workflow:lite-lite-lite "Fix the login bug"
/workflow:lite-lite-lite "Refactor payment module for multi-gateway support"
```
**Core Philosophy**: Minimal friction, maximum velocity. No files, no artifacts - just analyze and execute.
## Overview
**Zero-artifact workflow**: Clarify → Select Tools → Multi-Mode Analysis → Decision → Direct Execution
**vs multi-cli-plan**: No IMPL_PLAN.md, plan.json, synthesis.json - all state in memory.
## Execution Flow
```
Phase 1: Clarify Requirements → AskUser for missing details
Phase 2: Select Tools (CLI → Mode → Agent) → 3-step selection
Phase 3: Multi-Mode Analysis → Execute with --resume chaining
Phase 4: User Decision → Execute / Refine / Change / Cancel
Phase 5: Direct Execution → No plan files, immediate implementation
```
## Phase 1: Clarify Requirements
```javascript
const taskDescription = $ARGUMENTS
if (taskDescription.length < 20 || isAmbiguous(taskDescription)) {
AskUserQuestion({
questions: [{
question: "Please provide more details: target files/modules, expected behavior, constraints?",
header: "Details",
options: [
{ label: "I'll provide more", description: "Add more context" },
{ label: "Continue analysis", description: "Let tools explore autonomously" }
],
multiSelect: false
}]
})
}
// Optional: Quick ACE Context for complex tasks
mcp__ace-tool__search_context({
project_root_path: process.cwd(),
query: `${taskDescription} implementation patterns`
})
```
## Phase 2: Select Tools
### Tool Definitions
**CLI Tools** (from cli-tools.json):
```javascript
const cliConfig = JSON.parse(Read("~/.claude/cli-tools.json"))
const cliTools = Object.entries(cliConfig.tools)
.filter(([_, config]) => config.enabled)
.map(([name, config]) => ({
name, type: 'cli',
tags: config.tags || [],
model: config.primaryModel,
toolType: config.type // builtin, cli-wrapper, api-endpoint
}))
```
**Sub Agents**:
| Agent | Strengths | canExecute |
|-------|-----------|------------|
| **code-developer** | Code implementation, test writing | ✅ |
| **Explore** | Fast code exploration, pattern discovery | ❌ |
| **cli-explore-agent** | Dual-source analysis (Bash+CLI) | ❌ |
| **cli-discuss-agent** | Multi-CLI collaboration, cross-verification | ❌ |
| **debug-explore-agent** | Hypothesis-driven debugging | ❌ |
| **context-search-agent** | Multi-layer file discovery, dependency analysis | ❌ |
| **test-fix-agent** | Test execution, failure diagnosis, code fixing | ✅ |
| **universal-executor** | General execution, multi-domain adaptation | ✅ |
**Analysis Modes**:
| Mode | Pattern | Use Case | minCLIs |
|------|---------|----------|---------|
| **Parallel** | `A \|\| B \|\| C → Aggregate` | Fast multi-perspective | 1+ |
| **Sequential** | `A → B(resume) → C(resume)` | Incremental deepening | 2+ |
| **Collaborative** | `A → B → A → B → Synthesize` | Multi-round refinement | 2+ |
| **Debate** | `A(propose) → B(challenge) → A(defend)` | Adversarial validation | 2 |
| **Challenge** | `A(analyze) → B(challenge)` | Find flaws and risks | 2 |
### Three-Step Selection Flow
```javascript
// Step 1: Select CLIs (multiSelect)
AskUserQuestion({
questions: [{
question: "Select CLI tools for analysis (1-3 for collaboration modes)",
header: "CLI Tools",
options: cliTools.map(cli => ({
label: cli.name,
description: cli.tags.length > 0 ? cli.tags.join(', ') : cli.model || 'general'
})),
multiSelect: true
}]
})
// Step 2: Select Mode (filtered by CLI count)
const availableModes = analysisModes.filter(m => selectedCLIs.length >= m.minCLIs)
AskUserQuestion({
questions: [{
question: "Select analysis mode",
header: "Mode",
options: availableModes.map(m => ({
label: m.label,
description: `${m.description} [${m.pattern}]`
})),
multiSelect: false
}]
})
// Step 3: Select Agent for execution
AskUserQuestion({
questions: [{
question: "Select Sub Agent for execution",
header: "Agent",
options: agents.map(a => ({ label: a.name, description: a.strength })),
multiSelect: false
}]
})
// Confirm selection
AskUserQuestion({
questions: [{
question: "Confirm selection?",
header: "Confirm",
options: [
{ label: "Confirm and continue", description: `${selectedMode.label} with ${selectedCLIs.length} CLIs` },
{ label: "Re-select CLIs", description: "Choose different CLI tools" },
{ label: "Re-select Mode", description: "Choose different analysis mode" },
{ label: "Re-select Agent", description: "Choose different Sub Agent" }
],
multiSelect: false
}]
})
```
## Phase 3: Multi-Mode Analysis
### Universal CLI Prompt Template
```javascript
// Unified prompt builder - used by all modes
function buildPrompt({ purpose, tasks, expected, rules, taskDescription }) {
return `
PURPOSE: ${purpose}: ${taskDescription}
TASK: ${tasks.map(t => `${t}`).join(' ')}
MODE: analysis
CONTEXT: @**/*
EXPECTED: ${expected}
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/analysis-protocol.md) | ${rules}
`
}
// Execute CLI with prompt
function execCLI(cli, prompt, options = {}) {
const { resume, background = false } = options
const resumeFlag = resume ? `--resume ${resume}` : ''
return Bash({
command: `ccw cli -p "${prompt}" --tool ${cli.name} --mode analysis ${resumeFlag}`,
run_in_background: background
})
}
```
### Prompt Presets by Role
| Role | PURPOSE | TASKS | EXPECTED | RULES |
|------|---------|-------|----------|-------|
| **initial** | Initial analysis | Identify files, Analyze approach, List changes | Root cause, files, changes, risks | Focus on actionable insights |
| **extend** | Build on previous | Review previous, Extend, Add insights | Extended analysis building on findings | Build incrementally, avoid repetition |
| **synthesize** | Refine and synthesize | Review, Identify gaps, Synthesize | Refined synthesis with new perspectives | Add value not repetition |
| **propose** | Propose comprehensive analysis | Analyze thoroughly, Propose solution, State assumptions | Well-reasoned proposal with trade-offs | Be clear about assumptions |
| **challenge** | Challenge and stress-test | Identify weaknesses, Question assumptions, Suggest alternatives | Critique with counter-arguments | Be adversarial but constructive |
| **defend** | Respond to challenges | Address challenges, Defend valid aspects, Propose refined solution | Refined proposal incorporating feedback | Be open to criticism, synthesize |
| **criticize** | Find flaws ruthlessly | Find logical flaws, Identify edge cases, Rate criticisms | Critique with severity: [CRITICAL]/[HIGH]/[MEDIUM]/[LOW] | Be ruthlessly critical |
```javascript
const PROMPTS = {
initial: { purpose: 'Initial analysis', tasks: ['Identify affected files', 'Analyze implementation approach', 'List specific changes'], expected: 'Root cause, files to modify, key changes, risks', rules: 'Focus on actionable insights' },
extend: { purpose: 'Build on previous analysis', tasks: ['Review previous findings', 'Extend analysis', 'Add new insights'], expected: 'Extended analysis building on previous', rules: 'Build incrementally, avoid repetition' },
synthesize: { purpose: 'Refine and synthesize', tasks: ['Review previous', 'Identify gaps', 'Add insights', 'Synthesize findings'], expected: 'Refined synthesis with new perspectives', rules: 'Build collaboratively, add value' },
propose: { purpose: 'Propose comprehensive analysis', tasks: ['Analyze thoroughly', 'Propose solution', 'State assumptions clearly'], expected: 'Well-reasoned proposal with trade-offs', rules: 'Be clear about assumptions' },
challenge: { purpose: 'Challenge and stress-test', tasks: ['Identify weaknesses', 'Question assumptions', 'Suggest alternatives', 'Highlight overlooked risks'], expected: 'Constructive critique with counter-arguments', rules: 'Be adversarial but constructive' },
defend: { purpose: 'Respond to challenges', tasks: ['Address each challenge', 'Defend valid aspects', 'Acknowledge valid criticisms', 'Propose refined solution'], expected: 'Refined proposal incorporating alternatives', rules: 'Be open to criticism, synthesize best ideas' },
criticize: { purpose: 'Stress-test and find weaknesses', tasks: ['Find logical flaws', 'Identify missed edge cases', 'Propose alternatives', 'Rate criticisms (High/Medium/Low)'], expected: 'Detailed critique with severity ratings', rules: 'Be ruthlessly critical, find every flaw' }
}
```
### Mode Implementations
```javascript
// Parallel: All CLIs run simultaneously
async function executeParallel(clis, task) {
return await Promise.all(clis.map(cli =>
execCLI(cli, buildPrompt({ ...PROMPTS.initial, taskDescription: task }), { background: true })
))
}
// Sequential: Each CLI builds on previous via --resume
async function executeSequential(clis, task) {
const results = []
let prevId = null
for (const cli of clis) {
const preset = prevId ? PROMPTS.extend : PROMPTS.initial
const result = await execCLI(cli, buildPrompt({ ...preset, taskDescription: task }), { resume: prevId })
results.push(result)
prevId = extractSessionId(result)
}
return results
}
// Collaborative: Multi-round synthesis
async function executeCollaborative(clis, task, rounds = 2) {
const results = []
let prevId = null
for (let r = 0; r < rounds; r++) {
for (const cli of clis) {
const preset = !prevId ? PROMPTS.initial : PROMPTS.synthesize
const result = await execCLI(cli, buildPrompt({ ...preset, taskDescription: task }), { resume: prevId })
results.push({ cli: cli.name, round: r, result })
prevId = extractSessionId(result)
}
}
return results
}
// Debate: Propose → Challenge → Defend
async function executeDebate(clis, task) {
const [cliA, cliB] = clis
const results = []
const propose = await execCLI(cliA, buildPrompt({ ...PROMPTS.propose, taskDescription: task }))
results.push({ phase: 'propose', cli: cliA.name, result: propose })
const challenge = await execCLI(cliB, buildPrompt({ ...PROMPTS.challenge, taskDescription: task }), { resume: extractSessionId(propose) })
results.push({ phase: 'challenge', cli: cliB.name, result: challenge })
const defend = await execCLI(cliA, buildPrompt({ ...PROMPTS.defend, taskDescription: task }), { resume: extractSessionId(challenge) })
results.push({ phase: 'defend', cli: cliA.name, result: defend })
return results
}
// Challenge: Analyze → Criticize
async function executeChallenge(clis, task) {
const [cliA, cliB] = clis
const results = []
const analyze = await execCLI(cliA, buildPrompt({ ...PROMPTS.initial, taskDescription: task }))
results.push({ phase: 'analyze', cli: cliA.name, result: analyze })
const criticize = await execCLI(cliB, buildPrompt({ ...PROMPTS.criticize, taskDescription: task }), { resume: extractSessionId(analyze) })
results.push({ phase: 'challenge', cli: cliB.name, result: criticize })
return results
}
```
### Mode Router & Result Aggregation
```javascript
async function executeAnalysis(mode, clis, taskDescription) {
switch (mode.name) {
case 'parallel': return await executeParallel(clis, taskDescription)
case 'sequential': return await executeSequential(clis, taskDescription)
case 'collaborative': return await executeCollaborative(clis, taskDescription)
case 'debate': return await executeDebate(clis, taskDescription)
case 'challenge': return await executeChallenge(clis, taskDescription)
}
}
function aggregateResults(mode, results) {
const base = { mode: mode.name, pattern: mode.pattern, tools_used: results.map(r => r.cli || 'unknown') }
switch (mode.name) {
case 'parallel':
return { ...base, findings: results.map(parseOutput), consensus: findCommonPoints(results), divergences: findDifferences(results) }
case 'sequential':
return { ...base, evolution: results.map((r, i) => ({ step: i + 1, analysis: parseOutput(r) })), finalAnalysis: parseOutput(results.at(-1)) }
case 'collaborative':
return { ...base, rounds: groupByRound(results), synthesis: extractSynthesis(results.at(-1)) }
case 'debate':
return { ...base, proposal: parseOutput(results.find(r => r.phase === 'propose')?.result),
challenges: parseOutput(results.find(r => r.phase === 'challenge')?.result),
resolution: parseOutput(results.find(r => r.phase === 'defend')?.result), confidence: calculateDebateConfidence(results) }
case 'challenge':
return { ...base, originalAnalysis: parseOutput(results.find(r => r.phase === 'analyze')?.result),
critiques: parseCritiques(results.find(r => r.phase === 'challenge')?.result), riskScore: calculateRiskScore(results) }
}
}
```
## Phase 4: User Decision
```javascript
function presentSummary(analysis) {
console.log(`## Analysis Result\n**Mode**: ${analysis.mode} (${analysis.pattern})\n**Tools**: ${analysis.tools_used.join(' → ')}`)
switch (analysis.mode) {
case 'parallel':
console.log(`### Consensus\n${analysis.consensus.map(c => `- ${c}`).join('\n')}\n### Divergences\n${analysis.divergences.map(d => `- ${d}`).join('\n')}`)
break
case 'sequential':
console.log(`### Evolution\n${analysis.evolution.map(e => `**Step ${e.step}**: ${e.analysis.summary}`).join('\n')}\n### Final\n${analysis.finalAnalysis.summary}`)
break
case 'collaborative':
console.log(`### Rounds\n${Object.entries(analysis.rounds).map(([r, a]) => `**Round ${r}**: ${a.map(x => x.cli).join(' + ')}`).join('\n')}\n### Synthesis\n${analysis.synthesis}`)
break
case 'debate':
console.log(`### Debate\n**Proposal**: ${analysis.proposal.summary}\n**Challenges**: ${analysis.challenges.points?.length || 0} points\n**Resolution**: ${analysis.resolution.summary}\n**Confidence**: ${analysis.confidence}%`)
break
case 'challenge':
console.log(`### Challenge\n**Original**: ${analysis.originalAnalysis.summary}\n**Critiques**: ${analysis.critiques.length} issues\n${analysis.critiques.map(c => `- [${c.severity}] ${c.description}`).join('\n')}\n**Risk Score**: ${analysis.riskScore}/100`)
break
}
}
AskUserQuestion({
questions: [{
question: "How to proceed?",
header: "Next Step",
options: [
{ label: "Execute directly", description: "Implement immediately" },
{ label: "Refine analysis", description: "Add constraints, re-analyze" },
{ label: "Change tools", description: "Different tool combination" },
{ label: "Cancel", description: "End workflow" }
],
multiSelect: false
}]
})
// Routing: Execute → Phase 5 | Refine → Phase 3 | Change → Phase 2 | Cancel → End
```
## Phase 5: Direct Execution
```javascript
// No IMPL_PLAN.md, no plan.json - direct implementation
const executionAgents = agents.filter(a => a.canExecute)
const executionTool = selectedAgent.canExecute ? selectedAgent : selectedCLIs[0]
if (executionTool.type === 'agent') {
Task({
subagent_type: executionTool.name,
run_in_background: false,
description: `Execute: ${taskDescription.slice(0, 30)}`,
prompt: `## Task\n${taskDescription}\n\n## Analysis Results\n${JSON.stringify(aggregatedAnalysis, null, 2)}\n\n## Instructions\n1. Apply changes to identified files\n2. Follow recommended approach\n3. Handle identified risks\n4. Verify changes work correctly`
})
} else {
Bash({
command: `ccw cli -p "
PURPOSE: Implement solution: ${taskDescription}
TASK: ${extractedTasks.join(' • ')}
MODE: write
CONTEXT: @${affectedFiles.join(' @')}
EXPECTED: Working implementation with all changes applied
RULES: $(cat ~/.claude/workflows/cli-templates/protocols/write-protocol.md)
" --tool ${executionTool.name} --mode write`,
run_in_background: false
})
}
```
## TodoWrite Structure
```javascript
TodoWrite({ todos: [
{ content: "Phase 1: Clarify requirements", status: "in_progress", activeForm: "Clarifying requirements" },
{ content: "Phase 2: Select tools", status: "pending", activeForm: "Selecting tools" },
{ content: "Phase 3: Multi-mode analysis", status: "pending", activeForm: "Running analysis" },
{ content: "Phase 4: User decision", status: "pending", activeForm: "Awaiting decision" },
{ content: "Phase 5: Direct execution", status: "pending", activeForm: "Executing" }
]})
```
## Iteration Patterns
| Pattern | Flow |
|---------|------|
| **Direct** | Phase 1 → 2 → 3 → 4(execute) → 5 |
| **Refinement** | Phase 3 → 4(refine) → 3 → 4 → 5 |
| **Tool Adjust** | Phase 2(adjust) → 3 → 4 → 5 |
## Error Handling
| Error | Resolution |
|-------|------------|
| CLI timeout | Retry with secondary model |
| No enabled tools | Ask user to enable tools in cli-tools.json |
| Task unclear | Default to first CLI + code-developer |
| Ambiguous task | Force clarification via AskUser |
| Execution fails | Present error, ask user for direction |
## Comparison with multi-cli-plan
| Aspect | lite-lite-lite | multi-cli-plan |
|--------|----------------|----------------|
| **Artifacts** | None | IMPL_PLAN.md, plan.json, synthesis.json |
| **Session** | Stateless (--resume chaining) | Persistent session folder |
| **Tool Selection** | 3-step (CLI → Mode → Agent) | Config-driven fixed tools |
| **Analysis Modes** | 5 modes with --resume | Fixed synthesis rounds |
| **Best For** | Quick analysis, adversarial validation | Complex multi-step implementations |
## Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
## Related Commands
```bash
/workflow:multi-cli-plan "complex task" # Full planning workflow
/workflow:lite-plan "task" # Single CLI planning
/workflow:lite-execute --in-memory # Direct execution
```

View File

@@ -1,6 +1,6 @@
---
name: lite-plan
description: Lightweight interactive planning workflow with in-memory planning, code exploration, and execution dispatch to lite-execute after user confirmation
description: Lightweight interactive planning workflow with in-memory planning, code exploration, and execution execute to lite-execute after user confirmation
argument-hint: "[-e|--explore] \"task description\"|file.md"
allowed-tools: TodoWrite(*), Task(*), SlashCommand(*), AskUserQuestion(*)
---
@@ -15,9 +15,9 @@ Intelligent lightweight planning command with dynamic workflow adaptation based
- Intelligent task analysis with automatic exploration detection
- Dynamic code exploration (cli-explore-agent) when codebase understanding needed
- Interactive clarification after exploration to gather missing information
- Adaptive planning strategy (direct Claude vs cli-lite-planning-agent) based on complexity
- Adaptive planning: Low complexity → Direct Claude; Medium/High → cli-lite-planning-agent
- Two-step confirmation: plan display → multi-dimensional input collection
- Execution dispatch with complete context handoff to lite-execute
- Execution execute with complete context handoff to lite-execute
## Usage
@@ -38,7 +38,7 @@ Phase 1: Task Analysis & Exploration
├─ Parse input (description or .md file)
├─ intelligent complexity assessment (Low/Medium/High)
├─ Exploration decision (auto-detect or --explore flag)
├─ ⚠️ Context protection: If file reading ≥50k chars → force cli-explore-agent
├─ Context protection: If file reading ≥50k chars → force cli-explore-agent
└─ Decision:
├─ needsExploration=true → Launch parallel cli-explore-agents (1-4 based on complexity)
└─ needsExploration=false → Skip to Phase 2/3
@@ -62,7 +62,7 @@ Phase 4: Confirmation & Selection
├─ Execution: Agent / Codex / Auto
└─ Review: Gemini / Agent / Skip
Phase 5: Dispatch
Phase 5: Execute
├─ Build executionContext (plan + explorations + clarifications + selections)
└─ SlashCommand("/workflow:lite-execute --in-memory")
```
@@ -140,11 +140,17 @@ function selectAngles(taskDescription, count) {
const selectedAngles = selectAngles(task_description, complexity === 'High' ? 4 : (complexity === 'Medium' ? 3 : 1))
// Planning strategy determination
const planningStrategy = complexity === 'Low'
? 'Direct Claude Planning'
: 'cli-lite-planning-agent'
console.log(`
## Exploration Plan
Task Complexity: ${complexity}
Selected Angles: ${selectedAngles.join(', ')}
Planning Strategy: ${planningStrategy}
Launching ${selectedAngles.length} parallel explorations...
`)
@@ -152,11 +158,16 @@ Launching ${selectedAngles.length} parallel explorations...
**Launch Parallel Explorations** - Orchestrator assigns angle to each agent:
**⚠️ CRITICAL - NO BACKGROUND EXECUTION**:
- **MUST NOT use `run_in_background: true`** - exploration results are REQUIRED before planning
```javascript
// Launch agents with pre-assigned angles
const explorationTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false, // ⚠️ MANDATORY: Must wait for results
description=`Explore: ${angle}`,
prompt=`
## Task Objective
@@ -173,6 +184,8 @@ Execute **${angle}** exploration for task planning context. Analyze codebase fro
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)
4. Read: .workflow/project-tech.json (technology stack and architecture context)
5. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
## Exploration Strategy (${angle} focus)
@@ -304,14 +317,11 @@ explorations.forEach(exp => {
}
})
// Deduplicate exact same questions only
const seen = new Set()
const dedupedClarifications = allClarifications.filter(c => {
const key = c.question.toLowerCase()
if (seen.has(key)) return false
seen.add(key)
return true
})
// Intelligent deduplication: analyze allClarifications by intent
// - Identify questions with similar intent across different angles
// - Merge similar questions: combine options, consolidate context
// - Produce dedupedClarifications with unique intents only
const dedupedClarifications = intelligentMerge(allClarifications)
// Multi-round clarification: batch questions (max 4 per round)
if (dedupedClarifications.length > 0) {
@@ -351,12 +361,34 @@ if (dedupedClarifications.length > 0) {
**IMPORTANT**: Phase 3 is **planning only** - NO code execution. All execution happens in Phase 5 via lite-execute.
**Executor Assignment** (Claude 智能分配plan 生成后执行):
```javascript
// 分配规则(优先级从高到低):
// 1. 用户明确指定:"用 gemini 分析..." → gemini, "codex 实现..." → codex
// 2. 默认 → agent
const executorAssignments = {} // { taskId: { executor: 'gemini'|'codex'|'agent', reason: string } }
plan.tasks.forEach(task => {
// Claude 根据上述规则语义分析,为每个 task 分配 executor
executorAssignments[task.id] = { executor: '...', reason: '...' }
})
```
**Low Complexity** - Direct planning by Claude:
```javascript
// Step 1: Read schema
const schema = Bash(`cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json`)
// Step 2: Generate plan following schema (Claude directly, no agent)
// Step 2: ⚠️ MANDATORY - Read and review ALL exploration files
const manifest = JSON.parse(Read(`${sessionFolder}/explorations-manifest.json`))
manifest.explorations.forEach(exp => {
const explorationData = Read(exp.path)
console.log(`\n### Exploration: ${exp.angle}\n${explorationData}`)
})
// Step 3: Generate plan following schema (Claude directly, no agent)
// ⚠️ Plan MUST incorporate insights from exploration files read in Step 2
const plan = {
summary: "...",
approach: "...",
@@ -367,10 +399,10 @@ const plan = {
_metadata: { timestamp: getUtc8ISOString(), source: "direct-planning", planning_mode: "direct" }
}
// Step 3: Write plan to session folder
// Step 4: Write plan to session folder
Write(`${sessionFolder}/plan.json`, JSON.stringify(plan, null, 2))
// Step 4: MUST continue to Phase 4 (Confirmation) - DO NOT execute code here
// Step 5: MUST continue to Phase 4 (Confirmation) - DO NOT execute code here
```
**Medium/High Complexity** - Invoke cli-lite-planning-agent:
@@ -378,6 +410,7 @@ Write(`${sessionFolder}/plan.json`, JSON.stringify(plan, null, 2))
```javascript
Task(
subagent_type="cli-lite-planning-agent",
run_in_background=false,
description="Generate detailed implementation plan",
prompt=`
Generate implementation plan and write plan.json.
@@ -385,6 +418,12 @@ Generate implementation plan and write plan.json.
## Output Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json (get schema reference before generating plan)
## Project Context (MANDATORY - Read Both Files)
1. Read: .workflow/project-tech.json (technology stack, architecture, key components)
2. Read: .workflow/project-guidelines.json (user-defined constraints and conventions)
**CRITICAL**: All generated tasks MUST comply with constraints in project-guidelines.json
## Task Description
${task_description}
@@ -407,23 +446,9 @@ ${JSON.stringify(clarificationContext) || "None"}
${complexity}
## Requirements
Generate plan.json with:
- summary: 2-3 sentence overview
- approach: High-level implementation strategy (incorporating insights from all exploration angles)
- tasks: 2-7 structured tasks (**IMPORTANT: group by feature/module, NOT by file**)
- **Task Granularity Principle**: Each task = one complete feature unit or module
- title: action verb + target module/feature (e.g., "Implement auth token refresh")
- scope: module path (src/auth/) or feature name, prefer module-level over single file
- action, description
- modification_points: ALL files to modify for this feature (group related changes)
- implementation (3-7 steps covering all modification_points)
- reference (pattern, files, examples)
- acceptance (2-4 criteria for the entire feature)
- depends_on: task IDs this task depends on (use sparingly, only for true dependencies)
- estimated_time, recommended_execution, complexity
- _metadata:
- timestamp, source, planning_mode
- exploration_angles: ${JSON.stringify(manifest.explorations.map(e => e.angle))}
Generate plan.json following the schema obtained above. Key constraints:
- tasks: 2-7 structured tasks (**group by feature/module, NOT by file**)
- _metadata.exploration_angles: ${JSON.stringify(manifest.explorations.map(e => e.angle))}
## Task Grouping Rules
1. **Group by feature**: All changes for one feature = one task (even if 3-5 files)
@@ -435,10 +460,10 @@ Generate plan.json with:
7. **Prefer parallel**: Most tasks should be independent (no depends_on)
## Execution
1. Read ALL exploration files for comprehensive context
1. Read schema file (cat command above)
2. Execute CLI planning using Gemini (Qwen fallback)
3. Synthesize findings from multiple exploration angles
4. Parse output and structure plan
3. Read ALL exploration files for comprehensive context
4. Synthesize findings and generate plan following schema
5. Write JSON: Write('${sessionFolder}/plan.json', jsonContent)
6. Return brief completion summary
`
@@ -510,7 +535,7 @@ AskUserQuestion({
---
### Phase 5: Dispatch to Execution
### Phase 5: Execute to Execution
**CRITICAL**: lite-plan NEVER executes code directly. ALL execution MUST go through lite-execute.
@@ -535,9 +560,13 @@ executionContext = {
explorationAngles: manifest.explorations.map(e => e.angle),
explorationManifest: manifest,
clarificationContext: clarificationContext || null,
executionMethod: userSelection.execution_method,
executionMethod: userSelection.execution_method, // 全局默认,可被 executorAssignments 覆盖
codeReviewTool: userSelection.code_review_tool,
originalUserInput: task_description,
// 任务级 executor 分配(优先于全局 executionMethod
executorAssignments: executorAssignments, // { taskId: { executor, reason } }
session: {
id: sessionId,
folder: sessionFolder,
@@ -553,7 +582,7 @@ executionContext = {
}
```
**Step 5.2: Dispatch**
**Step 5.2: Execute**
```javascript
SlashCommand(command="/workflow:lite-execute --in-memory")

View File

@@ -0,0 +1,510 @@
---
name: workflow:multi-cli-plan
description: Multi-CLI collaborative planning workflow with ACE context gathering and iterative cross-verification. Uses cli-discuss-agent for Gemini+Codex+Claude analysis to converge on optimal execution plan.
argument-hint: "<task description> [--max-rounds=3] [--tools=gemini,codex] [--mode=parallel|serial]"
allowed-tools: TodoWrite(*), Task(*), AskUserQuestion(*), Read(*), Bash(*), Write(*), mcp__ace-tool__search_context(*)
---
# Multi-CLI Collaborative Planning Command
## Quick Start
```bash
# Basic usage
/workflow:multi-cli-plan "Implement user authentication"
# With options
/workflow:multi-cli-plan "Add dark mode support" --max-rounds=3
/workflow:multi-cli-plan "Refactor payment module" --tools=gemini,codex,claude
/workflow:multi-cli-plan "Fix memory leak" --mode=serial
# Resume session
/workflow:lite-execute --session=MCP-xxx
```
**Context Source**: ACE semantic search + Multi-CLI analysis
**Output Directory**: `.workflow/.multi-cli-plan/{session-id}/`
**Default Max Rounds**: 3 (convergence may complete earlier)
**CLI Tools**: @cli-discuss-agent (analysis), @cli-lite-planning-agent (plan generation)
## What & Why
### Core Concept
Multi-CLI collaborative planning with **three-phase architecture**: ACE context gathering → Iterative multi-CLI discussion → Plan generation. Orchestrator delegates analysis to agents, only handles user decisions and session management.
**Process**:
- **Phase 1**: ACE semantic search gathers codebase context
- **Phase 2**: cli-discuss-agent orchestrates Gemini/Codex/Claude for cross-verified analysis
- **Phase 3-5**: User decision → Plan generation → Execution handoff
**vs Single-CLI Planning**:
- **Single**: One model perspective, potential blind spots
- **Multi-CLI**: Cross-verification catches inconsistencies, builds consensus on solutions
### Value Proposition
1. **Multi-Perspective Analysis**: Gemini + Codex + Claude analyze from different angles
2. **Cross-Verification**: Identify agreements/disagreements, build confidence
3. **User-Driven Decisions**: Every round ends with user decision point
4. **Iterative Convergence**: Progressive refinement until consensus reached
### Orchestrator Boundary (CRITICAL)
- **ONLY command** for multi-CLI collaborative planning
- Manages: Session state, user decisions, agent delegation, phase transitions
- Delegates: CLI execution to @cli-discuss-agent, plan generation to @cli-lite-planning-agent
### Execution Flow
```
Phase 1: Context Gathering
└─ ACE semantic search, extract keywords, build context package
Phase 2: Multi-CLI Discussion (Iterative, via @cli-discuss-agent)
├─ Round N: Agent executes Gemini + Codex + Claude
├─ Cross-verify findings, synthesize solutions
├─ Write synthesis.json to rounds/{N}/
└─ Loop until convergence or max rounds
Phase 3: Present Options
└─ Display solutions with trade-offs from agent output
Phase 4: User Decision
├─ Approve solution → Phase 5
├─ Need clarification → Return to Phase 2
└─ Change direction → Reset with feedback
Phase 5: Plan Generation (via @cli-lite-planning-agent)
├─ Generate IMPL_PLAN.md + plan.json
└─ Hand off to /workflow:lite-execute
```
### Agent Roles
| Agent | Responsibility |
|-------|---------------|
| **Orchestrator** | Session management, ACE context, user decisions, phase transitions |
| **@cli-discuss-agent** | Multi-CLI execution (Gemini/Codex/Claude), cross-verification, solution synthesis, synthesis.json output |
| **@cli-lite-planning-agent** | Task decomposition, IMPL_PLAN.md + plan.json generation |
## Core Responsibilities
### Phase 1: Context Gathering
**Session Initialization**:
```javascript
const sessionId = `MCP-${taskSlug}-${date}`
const sessionFolder = `.workflow/.multi-cli-plan/${sessionId}`
Bash(`mkdir -p ${sessionFolder}/rounds`)
```
**ACE Context Queries**:
```javascript
const aceQueries = [
`Project architecture related to ${keywords}`,
`Existing implementations of ${keywords[0]}`,
`Code patterns for ${keywords} features`,
`Integration points for ${keywords[0]}`
]
// Execute via mcp__ace-tool__search_context
```
**Context Package** (passed to agent):
- `relevant_files[]` - Files identified by ACE
- `detected_patterns[]` - Code patterns found
- `architecture_insights` - Structure understanding
### Phase 2: Agent Delegation
**Core Principle**: Orchestrator only delegates and reads output - NO direct CLI execution.
**Agent Invocation**:
```javascript
Task({
subagent_type: "cli-discuss-agent",
run_in_background: false,
description: `Discussion round ${currentRound}`,
prompt: `
## Input Context
- task_description: ${taskDescription}
- round_number: ${currentRound}
- session: { id: "${sessionId}", folder: "${sessionFolder}" }
- ace_context: ${JSON.stringify(contextPackageage)}
- previous_rounds: ${JSON.stringify(analysisResults)}
- user_feedback: ${userFeedback || 'None'}
- cli_config: { tools: ["gemini", "codex"], mode: "parallel", fallback_chain: ["gemini", "codex", "claude"] }
## Execution Process
1. Parse input context (handle JSON strings)
2. Check if ACE supplementary search needed
3. Build CLI prompts with context
4. Execute CLIs (parallel or serial per cli_config.mode)
5. Parse CLI outputs, handle failures with fallback
6. Perform cross-verification between CLI results
7. Synthesize solutions, calculate scores
8. Calculate convergence, generate clarification questions
9. Write synthesis.json
## Output
Write: ${sessionFolder}/rounds/${currentRound}/synthesis.json
## Completion Checklist
- [ ] All configured CLI tools executed (or fallback triggered)
- [ ] Cross-verification completed with agreements/disagreements
- [ ] 2-3 solutions generated with file:line references
- [ ] Convergence score calculated (0.0-1.0)
- [ ] synthesis.json written with all Primary Fields
`
})
```
**Read Agent Output**:
```javascript
const synthesis = JSON.parse(Read(`${sessionFolder}/rounds/${round}/synthesis.json`))
// Access top-level fields: solutions, convergence, cross_verification, clarification_questions
```
**Convergence Decision**:
```javascript
if (synthesis.convergence.recommendation === 'converged') {
// Proceed to Phase 3
} else if (synthesis.convergence.recommendation === 'user_input_needed') {
// Collect user feedback, return to Phase 2
} else {
// Continue to next round if new_insights && round < maxRounds
}
```
### Phase 3: Present Options
**Display from Agent Output** (no processing):
```javascript
console.log(`
## Solution Options
${synthesis.solutions.map((s, i) => `
**Option ${i+1}: ${s.name}**
Source: ${s.source_cli.join(' + ')}
Effort: ${s.effort} | Risk: ${s.risk}
Pros: ${s.pros.join(', ')}
Cons: ${s.cons.join(', ')}
Files: ${s.affected_files.slice(0,3).map(f => `${f.file}:${f.line}`).join(', ')}
`).join('\n')}
## Cross-Verification
Agreements: ${synthesis.cross_verification.agreements.length}
Disagreements: ${synthesis.cross_verification.disagreements.length}
`)
```
### Phase 4: User Decision
**Decision Options**:
```javascript
AskUserQuestion({
questions: [{
question: "Which solution approach?",
header: "Solution",
options: solutions.map((s, i) => ({
label: `Option ${i+1}: ${s.name}`,
description: `${s.effort} effort, ${s.risk} risk`
})).concat([
{ label: "Need More Analysis", description: "Return to Phase 2" }
])
}]
})
```
**Routing**:
- Approve → Phase 5
- Need More Analysis → Phase 2 with feedback
- Add constraints → Collect details, then Phase 5
### Phase 5: Plan Generation
**Step 1: Build Context-Package** (Orchestrator responsibility):
```javascript
// Extract key information from user decision and synthesis
const contextPackage = {
// Core solution details
solution: {
name: selectedSolution.name,
source_cli: selectedSolution.source_cli,
feasibility: selectedSolution.feasibility,
effort: selectedSolution.effort,
risk: selectedSolution.risk,
summary: selectedSolution.summary
},
// Implementation plan (tasks, flow, milestones)
implementation_plan: selectedSolution.implementation_plan,
// Dependencies
dependencies: selectedSolution.dependencies || { internal: [], external: [] },
// Technical concerns
technical_concerns: selectedSolution.technical_concerns || [],
// Consensus from cross-verification
consensus: {
agreements: synthesis.cross_verification.agreements,
resolved_conflicts: synthesis.cross_verification.resolution
},
// User constraints (from Phase 4 feedback)
constraints: userConstraints || [],
// Task context
task_description: taskDescription,
session_id: sessionId
}
// Write context-package for traceability
Write(`${sessionFolder}/context-package.json`, JSON.stringify(contextPackage, null, 2))
```
**Context-Package Schema**:
| Field | Type | Description |
|-------|------|-------------|
| `solution` | object | User-selected solution from synthesis |
| `solution.name` | string | Solution identifier |
| `solution.feasibility` | number | Viability score (0-1) |
| `solution.summary` | string | Brief analysis summary |
| `implementation_plan` | object | Task breakdown with flow and dependencies |
| `implementation_plan.approach` | string | High-level technical strategy |
| `implementation_plan.tasks[]` | array | Discrete tasks with id, name, depends_on, files |
| `implementation_plan.execution_flow` | string | Task sequence (e.g., "T1 → T2 → T3") |
| `implementation_plan.milestones` | string[] | Key checkpoints |
| `dependencies` | object | Module and package dependencies |
| `technical_concerns` | string[] | Risks and blockers |
| `consensus` | object | Cross-verified agreements from multi-CLI |
| `constraints` | string[] | User-specified constraints from Phase 4 |
```json
{
"solution": {
"name": "Strategy Pattern Refactoring",
"source_cli": ["gemini", "codex"],
"feasibility": 0.88,
"effort": "medium",
"risk": "low",
"summary": "Extract payment gateway interface, implement strategy pattern for multi-gateway support"
},
"implementation_plan": {
"approach": "Define interface → Create concrete strategies → Implement factory → Migrate existing code",
"tasks": [
{"id": "T1", "name": "Define PaymentGateway interface", "depends_on": [], "files": [{"file": "src/types/payment.ts", "line": 1, "action": "create"}], "key_point": "Include all existing Stripe methods"},
{"id": "T2", "name": "Implement StripeGateway", "depends_on": ["T1"], "files": [{"file": "src/payment/stripe.ts", "line": 1, "action": "create"}], "key_point": "Wrap existing logic"},
{"id": "T3", "name": "Create GatewayFactory", "depends_on": ["T1"], "files": [{"file": "src/payment/factory.ts", "line": 1, "action": "create"}], "key_point": null},
{"id": "T4", "name": "Migrate processor to use factory", "depends_on": ["T2", "T3"], "files": [{"file": "src/payment/processor.ts", "line": 45, "action": "modify"}], "key_point": "Backward compatible"}
],
"execution_flow": "T1 → (T2 | T3) → T4",
"milestones": ["Interface defined", "Gateway implementations complete", "Migration done"]
},
"dependencies": {
"internal": ["@/lib/payment-gateway", "@/types/payment"],
"external": ["stripe@^14.0.0"]
},
"technical_concerns": ["Existing tests must pass", "No breaking API changes"],
"consensus": {
"agreements": ["Use strategy pattern", "Keep existing API"],
"resolved_conflicts": "Factory over DI for simpler integration"
},
"constraints": ["backward compatible", "no breaking changes to PaymentResult type"],
"task_description": "Refactor payment processing for multi-gateway support",
"session_id": "MCP-payment-refactor-2026-01-14"
}
```
**Step 2: Invoke Planning Agent**:
```javascript
Task({
subagent_type: "cli-lite-planning-agent",
run_in_background: false,
description: "Generate implementation plan",
prompt: `
## Schema Reference
Execute: cat ~/.claude/workflows/cli-templates/schemas/plan-json-schema.json
## Context-Package (from orchestrator)
${JSON.stringify(contextPackage, null, 2)}
## Execution Process
1. Read plan-json-schema.json for output structure
2. Read project-tech.json and project-guidelines.json
3. Parse context-package fields:
- solution: name, feasibility, summary
- implementation_plan: tasks[], execution_flow, milestones
- dependencies: internal[], external[]
- technical_concerns: risks/blockers
- consensus: agreements, resolved_conflicts
- constraints: user requirements
4. Use implementation_plan.tasks[] as task foundation
5. Preserve task dependencies (depends_on) and execution_flow
6. Expand tasks with detailed acceptance criteria
7. Generate IMPL_PLAN.md documenting milestones and key_points
8. Generate plan.json following schema exactly
## Output
- ${sessionFolder}/IMPL_PLAN.md
- ${sessionFolder}/plan.json
## Completion Checklist
- [ ] IMPL_PLAN.md documents approach, milestones, technical_concerns
- [ ] plan.json preserves task dependencies from implementation_plan
- [ ] Task execution order follows execution_flow
- [ ] Key_points reflected in task descriptions
- [ ] User constraints applied to implementation
- [ ] Acceptance criteria are testable
`
})
```
**Hand off to Execution**:
```javascript
if (userConfirms) {
SlashCommand("/workflow:lite-execute --in-memory")
}
```
## Output File Structure
```
.workflow/.multi-cli-plan/{MCP-task-slug-YYYY-MM-DD}/
├── session-state.json # Session tracking (orchestrator)
├── rounds/
│ ├── 1/synthesis.json # Round 1 analysis (cli-discuss-agent)
│ ├── 2/synthesis.json # Round 2 analysis (cli-discuss-agent)
│ └── .../
├── context-package.json # Extracted context for planning (orchestrator)
├── IMPL_PLAN.md # Documentation (cli-lite-planning-agent)
└── plan.json # Structured plan (cli-lite-planning-agent)
```
**File Producers**:
| File | Producer | Content |
|------|----------|---------|
| `session-state.json` | Orchestrator | Session metadata, rounds, decisions |
| `rounds/*/synthesis.json` | cli-discuss-agent | Solutions, convergence, cross-verification |
| `context-package.json` | Orchestrator | Extracted solution, dependencies, consensus for planning |
| `IMPL_PLAN.md` | cli-lite-planning-agent | Human-readable plan |
| `plan.json` | cli-lite-planning-agent | Structured tasks for execution |
## synthesis.json Schema
```json
{
"round": 1,
"solutions": [{
"name": "Solution Name",
"source_cli": ["gemini", "codex"],
"feasibility": 0.85,
"effort": "low|medium|high",
"risk": "low|medium|high",
"summary": "Brief analysis summary",
"implementation_plan": {
"approach": "High-level technical approach",
"tasks": [
{"id": "T1", "name": "Task", "depends_on": [], "files": [], "key_point": "..."}
],
"execution_flow": "T1 → T2 → T3",
"milestones": ["Checkpoint 1", "Checkpoint 2"]
},
"dependencies": {"internal": [], "external": []},
"technical_concerns": ["Risk 1", "Blocker 2"]
}],
"convergence": {
"score": 0.85,
"new_insights": false,
"recommendation": "converged|continue|user_input_needed"
},
"cross_verification": {
"agreements": [],
"disagreements": [],
"resolution": "..."
},
"clarification_questions": []
}
```
**Key Planning Fields**:
| Field | Purpose |
|-------|---------|
| `feasibility` | Viability score (0-1) |
| `implementation_plan.tasks[]` | Discrete tasks with dependencies |
| `implementation_plan.execution_flow` | Task sequence visualization |
| `implementation_plan.milestones` | Key checkpoints |
| `technical_concerns` | Risks and blockers |
**Note**: Solutions ranked by internal scoring (array order = priority)
## TodoWrite Structure
**Initialization**:
```javascript
TodoWrite({ todos: [
{ content: "Phase 1: Context Gathering", status: "in_progress", activeForm: "Gathering context" },
{ content: "Phase 2: Multi-CLI Discussion", status: "pending", activeForm: "Running discussion" },
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
{ content: "Phase 4: User Decision", status: "pending", activeForm: "Awaiting decision" },
{ content: "Phase 5: Plan Generation", status: "pending", activeForm: "Generating plan" }
]})
```
**During Discussion Rounds**:
```javascript
TodoWrite({ todos: [
{ content: "Phase 1: Context Gathering", status: "completed", activeForm: "Gathering context" },
{ content: "Phase 2: Multi-CLI Discussion", status: "in_progress", activeForm: "Running discussion" },
{ content: " → Round 1: Initial analysis", status: "completed", activeForm: "Analyzing" },
{ content: " → Round 2: Deep verification", status: "in_progress", activeForm: "Verifying" },
{ content: "Phase 3: Present Options", status: "pending", activeForm: "Presenting options" },
// ...
]})
```
## Error Handling
| Error | Resolution |
|-------|------------|
| ACE search fails | Fall back to Glob/Grep for file discovery |
| Agent fails | Retry once, then present partial results |
| CLI timeout (in agent) | Agent uses fallback: gemini → codex → claude |
| No convergence | Present best options, flag uncertainty |
| synthesis.json parse error | Request agent retry |
| User cancels | Save session for later resumption |
## Configuration
| Flag | Default | Description |
|------|---------|-------------|
| `--max-rounds` | 3 | Maximum discussion rounds |
| `--tools` | gemini,codex | CLI tools for analysis |
| `--mode` | parallel | Execution mode: parallel or serial |
| `--auto-execute` | false | Auto-execute after approval |
## Best Practices
1. **Be Specific**: Detailed task descriptions improve ACE context quality
2. **Provide Feedback**: Use clarification rounds to refine requirements
3. **Trust Cross-Verification**: Multi-CLI consensus indicates high confidence
4. **Review Trade-offs**: Consider pros/cons before selecting solution
5. **Check synthesis.json**: Review agent output for detailed analysis
6. **Iterate When Needed**: Don't hesitate to request more analysis
## Related Commands
```bash
# Resume saved session
/workflow:lite-execute --session=MCP-xxx
# Simpler single-round planning
/workflow:lite-plan "task description"
# Issue-driven discovery
/issue:discover-by-prompt "find issues"
# View session files
cat .workflow/.multi-cli-plan/{session-id}/IMPL_PLAN.md
cat .workflow/.multi-cli-plan/{session-id}/rounds/1/synthesis.json
```

View File

@@ -9,7 +9,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
## Coordinator Role
**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**.
**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**.
**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 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
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
**Task Attachment Model**:
- 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
- SlashCommand execute **expands workflow** by attaching sub-tasks to current TodoWrite
- When a sub-command is executed (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
@@ -43,7 +43,7 @@ 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 dispatch **attaches** sub-tasks to current workflow. Orchestrator **executes** these attached tasks itself, then **collapses** them after completion
6. **Task Attachment Model**: SlashCommand execute **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
@@ -61,7 +61,7 @@ Phase 2: Context Gathering
├─ Tasks attached: Analyze structure → Identify integration → Generate package
└─ Output: contextPath + conflict_risk
Phase 3: Conflict Resolution (conditional)
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
@@ -80,7 +80,7 @@ Return:
### Phase 1: Session Discovery
**Step 1.1: Dispatch** - Create or discover workflow session
**Step 1.1: Execute** - Create or discover workflow session
```javascript
SlashCommand(command="/workflow:session:start --auto \"[structured-task-description]\"")
@@ -117,7 +117,7 @@ CONTEXT: Existing user database schema, REST API endpoints
### Phase 2: Context Gathering
**Step 2.1: Dispatch** - Gather project context and analyze codebase
**Step 2.1: Execute** - Gather project context and analyze codebase
```javascript
SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[structured-task-description]\"")
@@ -135,9 +135,9 @@ SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[st
- Context package path extracted
- File exists and is valid JSON
<!-- TodoWrite: When context-gather dispatched, INSERT 3 context-gather tasks, mark first as in_progress -->
<!-- TodoWrite: When context-gather executed, INSERT 3 context-gather tasks, mark first as in_progress -->
**TodoWrite Update (Phase 2 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 2 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -149,7 +149,7 @@ SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[st
]
```
**Note**: SlashCommand dispatch **attaches** context-gather's 3 tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand execute **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 -->
@@ -168,11 +168,11 @@ SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"[st
---
### 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"
**Step 3.1: Dispatch** - Detect and resolve conflicts with CLI analysis
**Step 3.1: Execute** - Detect and resolve conflicts with CLI analysis
```javascript
SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")
@@ -185,10 +185,10 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
**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
@@ -196,7 +196,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
<!-- TodoWrite: If conflict_risk ≥ medium, INSERT 3 conflict-resolution tasks -->
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached, if conflict_risk ≥ medium)**:
**TodoWrite Update (Phase 3 SlashCommand executed - tasks attached, if conflict_risk ≥ medium)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -209,7 +209,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
]
```
**Note**: SlashCommand dispatch **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks sequentially.
**Note**: SlashCommand execute **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 -->
@@ -231,7 +231,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
- Evaluate current context window usage and memory state
- If memory usage is high (>120K tokens or approaching context limits):
**Step 3.2: Dispatch** - Optimize memory before proceeding
**Step 3.2: Execute** - Optimize memory before proceeding
```javascript
SlashCommand(command="/compact")
@@ -270,7 +270,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
- Task generation translates high-level role analyses into concrete, actionable work items
- **Intent priority**: Current user prompt > role analysis.md files > guidance-specification.md
**Step 4.1: Dispatch** - Generate implementation plan and task JSONs
**Step 4.1: Execute** - Generate implementation plan and task JSONs
```javascript
SlashCommand(command="/workflow:tools:task-generate-agent --session [sessionId]")
@@ -285,9 +285,9 @@ 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 dispatched, ATTACH 1 agent task -->
<!-- TodoWrite: When task-generate-agent executed, ATTACH 1 agent task -->
**TodoWrite Update (Phase 4 SlashCommand dispatched - agent task attached)**:
**TodoWrite Update (Phase 4 SlashCommand executed - agent task attached)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -331,7 +331,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to catch issues earl
### Key Principles
1. **Task Attachment** (when SlashCommand dispatched):
1. **Task Attachment** (when SlashCommand executed):
- 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")
@@ -350,7 +350,7 @@ 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 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.
**Lifecycle Summary**: Initial pending tasks → Phase executed (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.
@@ -442,7 +442,7 @@ User triggers: /workflow:plan "Build authentication system"
Phase 1: Session Discovery
→ sessionId extracted
Phase 2: Context Gathering (SlashCommand dispatched)
Phase 2: Context Gathering (SlashCommand executed)
→ ATTACH 3 sub-tasks: ← ATTACHED
- → Analyze codebase structure
- → Identify integration points
@@ -453,7 +453,7 @@ Phase 2: Context Gathering (SlashCommand dispatched)
Conditional Branch: Check conflict_risk
├─ IF conflict_risk ≥ medium:
│ Phase 3: Conflict Resolution (SlashCommand dispatched)
│ Phase 3: Conflict Resolution (SlashCommand executed)
│ → ATTACH 3 sub-tasks: ← ATTACHED
│ - → Detect conflicts with CLI analysis
│ - → Present conflicts to user
@@ -463,7 +463,7 @@ Conditional Branch: Check conflict_risk
└─ ELSE: Skip Phase 3, proceed to Phase 4
Phase 4: Task Generation (SlashCommand dispatched)
Phase 4: Task Generation (SlashCommand executed)
→ Single agent task (no sub-tasks)
→ Agent autonomously completes internally:
(discovery → planning → output)
@@ -473,12 +473,12 @@ Return summary to user
```
**Key Points**:
- **← ATTACHED**: Tasks attached to TodoWrite when SlashCommand dispatched
- **← ATTACHED**: Tasks attached to TodoWrite when SlashCommand executed
- 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 dispatches if conflict_risk ≥ medium
- **Conditional Branch**: Phase 3 only executes if conflict_risk ≥ medium
- **Continuous Flow**: No user intervention between phases
## Error Handling
@@ -497,7 +497,7 @@ 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**: `/workflow:tools:task-generate-agent --session [sessionId]`
- Pass session ID to Phase 4 command

View File

@@ -585,6 +585,10 @@ TodoWrite({
- Mark completed immediately after each group finishes
- Update parent phase status when all child items complete
## Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
## Best Practices
1. **Trust AI Planning**: Planning agent's grouping and execution strategy are based on dependency analysis

View File

@@ -391,6 +391,7 @@ done
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Execute ${dimension} review analysis via Deep Scan`,
prompt=`
## Task Objective
@@ -408,6 +409,8 @@ Task(
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)
5. Read: .workflow/project-tech.json (technology stack and architecture context)
6. Read: .workflow/project-guidelines.json (user-defined constraints and conventions to validate against)
## Review Context
- Review Type: module (independent)
@@ -476,6 +479,7 @@ Task(
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Deep-dive analysis for critical finding: ${findingTitle} via Dependency Map + Deep Scan`,
prompt=`
## Task Objective
@@ -509,6 +513,8 @@ Task(
3. Identify related code: bash(grep -r "import.*${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)
6. Read: .workflow/project-tech.json (technology stack and architecture context)
7. Read: .workflow/project-guidelines.json (user-defined constraints for remediation compliance)
## CLI Configuration
- Tool Priority: gemini → qwen → codex

View File

@@ -401,6 +401,7 @@ git log --since="${sessionCreatedAt}" --name-only --pretty=format: | sort -u
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Execute ${dimension} review analysis via Deep Scan`,
prompt=`
## Task Objective
@@ -419,6 +420,8 @@ Task(
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)
6. Read: .workflow/project-tech.json (technology stack and architecture context)
7. Read: .workflow/project-guidelines.json (user-defined constraints and conventions to validate against)
## Session Context
- Session ID: ${sessionId}
@@ -487,6 +490,7 @@ Task(
```javascript
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Deep-dive analysis for critical finding: ${findingTitle} via Dependency Map + Deep Scan`,
prompt=`
## Task Objective
@@ -520,6 +524,8 @@ Task(
3. Identify related code: bash(grep -r "import.*${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)
6. Read: .workflow/project-tech.json (technology stack and architecture context)
7. Read: .workflow/project-guidelines.json (user-defined constraints for remediation compliance)
## CLI Configuration
- Tool Priority: gemini → qwen → codex

View File

@@ -1,7 +1,7 @@
---
name: review
description: Post-implementation review with specialized types (security/architecture/action-items/quality) using analysis agents and Gemini
argument-hint: "[--type=security|architecture|action-items|quality] [optional: session-id]"
argument-hint: "[--type=security|architecture|action-items|quality] [--archived] [optional: session-id]"
---
## Command Overview: /workflow:review
@@ -34,15 +34,17 @@ argument-hint: "[--type=security|architecture|action-items|quality] [optional: s
```
Input Parsing:
├─ Parse --type flag (default: quality)
├─ Parse --archived flag (search in archives)
└─ Parse session-id argument (optional)
Step 1: Session Resolution
└─ Decision:
├─ session-id provided → Use provided session
├─ session-id provided + --archived → Search .workflow/archives/
├─ session-id provided → Search .workflow/active/ first, then archives
└─ Not provided → Auto-detect from .workflow/active/
Step 2: Validation
├─ Check session directory exists
├─ Check session directory exists (active or archived)
└─ Check for completed implementation (.summaries/IMPL-*.md exists)
Step 3: Type Check
@@ -68,21 +70,29 @@ Step 5: Generate Report
#!/bin/bash
# Optional specialized review for completed implementation
# Step 1: Session ID resolution
# Step 1: Session ID resolution and location detection
if [ -n "$SESSION_ARG" ]; then
sessionId="$SESSION_ARG"
else
sessionId=$(find .workflow/active/ -name "WFS-*" -type d | head -1 | xargs basename)
fi
# Step 2: Validation
if [ ! -d ".workflow/active/${sessionId}" ]; then
echo "Session ${sessionId} not found"
# Step 2: Resolve session path (active or archived)
# Priority: --archived flag → active → archives
if [ -n "$ARCHIVED_FLAG" ]; then
sessionPath=".workflow/archives/${sessionId}"
elif [ -d ".workflow/active/${sessionId}" ]; then
sessionPath=".workflow/active/${sessionId}"
elif [ -d ".workflow/archives/${sessionId}" ]; then
sessionPath=".workflow/archives/${sessionId}"
echo "Note: Session found in archives, running review on archived session"
else
echo "Session ${sessionId} not found in active or archives"
exit 1
fi
# Check for completed tasks
if [ ! -d ".workflow/active/${sessionId}/.summaries" ] || [ -z "$(find .workflow/active/${sessionId}/.summaries/ -name "IMPL-*.md" -type f 2>/dev/null)" ]; then
if [ ! -d "${sessionPath}/.summaries" ] || [ -z "$(find ${sessionPath}/.summaries/ -name "IMPL-*.md" -type f 2>/dev/null)" ]; then
echo "No completed implementation found. Complete implementation first"
exit 1
fi
@@ -112,14 +122,18 @@ After bash validation, the model takes control to:
1. **Load Context**: Read completed task summaries and changed files
```bash
# Load implementation summaries
cat .workflow/active/${sessionId}/.summaries/IMPL-*.md
# Load implementation summaries (iterate through .summaries/ directory)
for summary in ${sessionPath}/.summaries/*.md; do
cat "$summary"
done
# Load test results (if available)
cat .workflow/active/${sessionId}/.summaries/TEST-FIX-*.md 2>/dev/null
for test_summary in ${sessionPath}/.summaries/TEST-FIX-*.md 2>/dev/null; do
cat "$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
git log --since="$(cat ${sessionPath}/workflow-session.json | jq -r .created_at)" --name-only --pretty=format: | sort -u
```
2. **Perform Specialized Review**: Based on `review_type`
@@ -132,54 +146,56 @@ After bash validation, the model takes control to:
```
- Use Gemini for security analysis:
```bash
cd .workflow/active/${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
CONTEXT: @.summaries/IMPL-*.md,../.. @../../project-tech.json @../../project-guidelines.json
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 ${sessionPath}
```
**Architecture Review** (`--type=architecture`):
- Use Qwen for architecture analysis:
```bash
cd .workflow/active/${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
CONTEXT: @.summaries/IMPL-*.md,../.. @../../project-tech.json @../../project-guidelines.json
EXPECTED: Architecture assessment with recommendations
RULES: Check for patterns, separation of concerns, modularity, scalability
" --approval-mode yolo
" --tool qwen --mode write --cd ${sessionPath}
```
**Quality Review** (`--type=quality`):
- Use Gemini for code quality:
```bash
cd .workflow/active/${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
CONTEXT: @.summaries/IMPL-*.md,../.. @../../project-tech.json @../../project-guidelines.json
EXPECTED: Quality assessment with improvement suggestions
RULES: Check for code smells, duplication, complexity, naming conventions
" --approval-mode yolo
" --tool gemini --mode write --cd ${sessionPath}
```
**Action Items Review** (`--type=action-items`):
- Verify all requirements and acceptance criteria met:
```bash
# Load task requirements and acceptance criteria
find .workflow/active/${sessionId}/.task -name "IMPL-*.json" -exec jq -r '
"Task: " + .id + "\n" +
"Requirements: " + (.context.requirements | join(", ")) + "\n" +
"Acceptance: " + (.context.acceptance | join(", "))
' {} \;
for task_file in ${sessionPath}/.task/*.json; do
cat "$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
CONTEXT: @.task/IMPL-*.json,.summaries/IMPL-*.md,../.. @../../project-tech.json @../../project-guidelines.json
EXPECTED:
- Requirements coverage matrix
- Acceptance criteria verification
@@ -190,7 +206,7 @@ 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 ${sessionPath}
```
@@ -228,7 +244,7 @@ After bash validation, the model takes control to:
4. **Output Files**:
```bash
# Save review report
Write(.workflow/active/${sessionId}/REVIEW-${review_type}.md)
Write(${sessionPath}/REVIEW-${review_type}.md)
# Update session metadata
# (optional) Update workflow-session.json with review status
@@ -255,6 +271,12 @@ After bash validation, the model takes control to:
# Architecture review for specific session
/workflow:review --type=architecture WFS-payment-integration
# Review an archived session (auto-detects if not in active)
/workflow:review --type=security WFS-old-feature
# Explicitly review archived session
/workflow:review --archived --type=quality WFS-completed-feature
# Documentation review
/workflow:review --type=docs
```
@@ -264,6 +286,7 @@ After bash validation, the model takes control to:
- **Simple Validation**: Check session exists and has completed tasks
- **No Complex Orchestration**: Direct analysis, no multi-phase pipeline
- **Specialized Reviews**: Different prompts and tools for different review types
- **Archived Session Support**: Review archived sessions with `--archived` flag or auto-detection
- **MCP Integration**: Fast code search for security and architecture patterns
- **CLI Tool Integration**: Gemini for analysis, Qwen for architecture
- **Structured Output**: Markdown reports with severity levels and action items
@@ -289,3 +312,11 @@ Optional Review (when needed):
- Regular development (tests are sufficient)
- Simple bug fixes (test-fix-agent handles it)
- Minor changes (update-memory-related is enough)
## Post-Review Action
After review completion, prompt user:
```
Review complete. Would you like to complete and archive this session?
→ Run /workflow:session:complete to archive with lessons learned
```

View File

@@ -8,493 +8,173 @@ 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. **Extract review data** (if .review/ exists):
- Count dimension results: .review/dimensions/*.json
- Count deep-dive results: .review/iterations/*.json
- Extract findings summary from dimension JSONs (total, critical, high, medium, low)
- Check fix results if .review/fixes/ exists (fixed_count, failed_count)
- Build review_metrics: {dimensions_analyzed, total_findings, severity_distribution, fix_success_rate}
4. **Generate lessons**: Use gemini with ~/.claude/workflows/cli-templates/prompts/archive/analysis-simple.txt
- Return: {successes, challenges, watch_patterns}
- If review data exists, include review-specific lessons (common issue patterns, effective fixes)
5. **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)
- If review data exists, include review_metrics in metrics object
6. **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)
7. **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": {
"duration_hours": 2.5,
"tasks_completed": 5,
"summaries_generated": 3,
"review_metrics": { // Optional, only if .review/ exists
"dimensions_analyzed": 4,
"total_findings": 15,
"severity_distribution": {"critical": 1, "high": 3, "medium": 8, "low": 3},
"fix_success_rate": 0.87 // Optional, only if .review/fixes/ exists
}
},
"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
${reviewMetrics ? `Review: ${reviewMetrics.total_findings} findings across ${reviewMetrics.dimensions_analyzed} dimensions, ${Math.round(reviewMetrics.fix_success_rate * 100)}% fixed` : ''}
```
### Phase 4: Update Project Feature Registry
**Purpose**: Record completed session as a project feature in `.workflow/project.json`.
**Execution**: Uses feature metadata from Phase 2 agent result to update project registry.
#### Step 4.1: Check Project State Exists
```bash
bash(test -f .workflow/project.json && echo "EXISTS" || echo "SKIP")
```
**If SKIP**: Output warning and skip Phase 4
```
WARNING: No project.json found. Run /workflow:session:start to initialize.
```
#### Step 4.2: Extract Feature Information from Agent Result
**Data Processing** (Uses Phase 2 agent output):
```javascript
// Extract feature metadata from agent result
const agentResult = JSON.parse(agentOutput);
const featureMeta = agentResult.feature_metadata;
// Data already prepared by agent:
const title = featureMeta.title;
const description = featureMeta.description;
const tags = featureMeta.tags;
// Create feature ID (lowercase slug)
const featureId = title.toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 50);
```
#### Step 4.3: Update project.json
## Pre-defined Commands
```bash
# Read current project state
bash(cat .workflow/project.json)
# Phase 1: Find active session
SESSION_PATH=$(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-tech.json (Optional)
**Skip if**: `.workflow/project-tech.json` doesn't exist
```bash
# Check
test -f .workflow/project-tech.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
```
### Phase 5: Ask About Solidify (Always)
After successful archival, prompt user to capture learnings:
```javascript
AskUserQuestion({
questions: [{
question: "Would you like to solidify learnings from this session into project guidelines?",
header: "Solidify",
options: [
{ label: "Yes, solidify now", description: "Extract learnings and update project-guidelines.json" },
{ label: "Skip", description: "Archive complete, no learnings to capture" }
],
multiSelect: false
}]
})
```
**If "Yes, solidify now"**: Execute `/workflow:session:solidify` with the archived session ID.
**Output**:
```
Session archived successfully.
→ Run /workflow:session:solidify to capture learnings (recommended)
```
## 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-tech.json features array (optional)
Phase 5: ask user → solidify learnings (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
- Extract review data if .review/ exists (dimension results, findings, fix results)
- Generate lessons learned analysis (including review-specific lessons if applicable)
- Extract feature metadata from IMPL_PLAN.md
- Build complete archive + feature metadata package (with review_metrics if applicable)
- **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)

View File

@@ -0,0 +1,299 @@
---
name: solidify
description: Crystallize session learnings and user-defined constraints into permanent project guidelines
argument-hint: "[--type <convention|constraint|learning>] [--category <category>] \"rule or insight\""
examples:
- /workflow:session:solidify "Use functional components for all React code" --type convention
- /workflow:session:solidify "No direct DB access from controllers" --type constraint --category architecture
- /workflow:session:solidify "Cache invalidation requires event sourcing" --type learning --category architecture
- /workflow:session:solidify --interactive
---
# Session Solidify Command (/workflow:session:solidify)
## Overview
Crystallizes ephemeral session context (insights, decisions, constraints) into permanent project guidelines stored in `.workflow/project-guidelines.json`. This ensures valuable learnings persist across sessions and inform future planning.
## Use Cases
1. **During Session**: Capture important decisions as they're made
2. **After Session**: Reflect on lessons learned before archiving
3. **Proactive**: Add team conventions or architectural rules
## Parameters
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `rule` | string | ✅ (unless --interactive) | The rule, convention, or insight to solidify |
| `--type` | enum | ❌ | Type: `convention`, `constraint`, `learning` (default: auto-detect) |
| `--category` | string | ❌ | Category for organization (see categories below) |
| `--interactive` | flag | ❌ | Launch guided wizard for adding rules |
### Type Categories
**convention** → Coding style preferences (goes to `conventions` section)
- Subcategories: `coding_style`, `naming_patterns`, `file_structure`, `documentation`
**constraint** → Hard rules that must not be violated (goes to `constraints` section)
- Subcategories: `architecture`, `tech_stack`, `performance`, `security`
**learning** → Session-specific insights (goes to `learnings` array)
- Subcategories: `architecture`, `performance`, `security`, `testing`, `process`, `other`
## Execution Process
```
Input Parsing:
├─ Parse: rule text (required unless --interactive)
├─ Parse: --type (convention|constraint|learning)
├─ Parse: --category (subcategory)
└─ Parse: --interactive (flag)
Step 1: Ensure Guidelines File Exists
└─ If not exists → Create with empty structure
Step 2: Auto-detect Type (if not specified)
└─ Analyze rule text for keywords
Step 3: Validate and Format Entry
└─ Build entry object based on type
Step 4: Update Guidelines File
└─ Add entry to appropriate section
Step 5: Display Confirmation
└─ Show what was added and where
```
## Implementation
### Step 1: Ensure Guidelines File Exists
```bash
bash(test -f .workflow/project-guidelines.json && echo "EXISTS" || echo "NOT_FOUND")
```
**If NOT_FOUND**, create scaffold:
```javascript
const scaffold = {
conventions: {
coding_style: [],
naming_patterns: [],
file_structure: [],
documentation: []
},
constraints: {
architecture: [],
tech_stack: [],
performance: [],
security: []
},
quality_rules: [],
learnings: [],
_metadata: {
created_at: new Date().toISOString(),
version: "1.0.0"
}
};
Write('.workflow/project-guidelines.json', JSON.stringify(scaffold, null, 2));
```
### Step 2: Auto-detect Type (if not specified)
```javascript
function detectType(ruleText) {
const text = ruleText.toLowerCase();
// Constraint indicators
if (/\b(no|never|must not|forbidden|prohibited|always must)\b/.test(text)) {
return 'constraint';
}
// Learning indicators
if (/\b(learned|discovered|realized|found that|turns out)\b/.test(text)) {
return 'learning';
}
// Default to convention
return 'convention';
}
function detectCategory(ruleText, type) {
const text = ruleText.toLowerCase();
if (type === 'constraint' || type === 'learning') {
if (/\b(architecture|layer|module|dependency|circular)\b/.test(text)) return 'architecture';
if (/\b(security|auth|permission|sanitize|xss|sql)\b/.test(text)) return 'security';
if (/\b(performance|cache|lazy|async|sync|slow)\b/.test(text)) return 'performance';
if (/\b(test|coverage|mock|stub)\b/.test(text)) return 'testing';
}
if (type === 'convention') {
if (/\b(name|naming|prefix|suffix|camel|pascal)\b/.test(text)) return 'naming_patterns';
if (/\b(file|folder|directory|structure|organize)\b/.test(text)) return 'file_structure';
if (/\b(doc|comment|jsdoc|readme)\b/.test(text)) return 'documentation';
return 'coding_style';
}
return type === 'constraint' ? 'tech_stack' : 'other';
}
```
### Step 3: Build Entry
```javascript
function buildEntry(rule, type, category, sessionId) {
if (type === 'learning') {
return {
date: new Date().toISOString().split('T')[0],
session_id: sessionId || null,
insight: rule,
category: category,
context: null
};
}
// For conventions and constraints, just return the rule string
return rule;
}
```
### Step 4: Update Guidelines File
```javascript
const guidelines = JSON.parse(Read('.workflow/project-guidelines.json'));
if (type === 'convention') {
if (!guidelines.conventions[category]) {
guidelines.conventions[category] = [];
}
if (!guidelines.conventions[category].includes(rule)) {
guidelines.conventions[category].push(rule);
}
} else if (type === 'constraint') {
if (!guidelines.constraints[category]) {
guidelines.constraints[category] = [];
}
if (!guidelines.constraints[category].includes(rule)) {
guidelines.constraints[category].push(rule);
}
} else if (type === 'learning') {
guidelines.learnings.push(buildEntry(rule, type, category, sessionId));
}
guidelines._metadata.updated_at = new Date().toISOString();
guidelines._metadata.last_solidified_by = sessionId;
Write('.workflow/project-guidelines.json', JSON.stringify(guidelines, null, 2));
```
### Step 5: Display Confirmation
```
✓ Guideline solidified
Type: ${type}
Category: ${category}
Rule: "${rule}"
Location: .workflow/project-guidelines.json → ${type}s.${category}
Total ${type}s in ${category}: ${count}
```
## Interactive Mode
When `--interactive` flag is provided:
```javascript
AskUserQuestion({
questions: [
{
question: "What type of guideline are you adding?",
header: "Type",
multiSelect: false,
options: [
{ label: "Convention", description: "Coding style preference (e.g., use functional components)" },
{ label: "Constraint", description: "Hard rule that must not be violated (e.g., no direct DB access)" },
{ label: "Learning", description: "Insight from this session (e.g., cache invalidation needs events)" }
]
}
]
});
// Follow-up based on type selection...
```
## Examples
### Add a Convention
```bash
/workflow:session:solidify "Use async/await instead of callbacks" --type convention --category coding_style
```
Result in `project-guidelines.json`:
```json
{
"conventions": {
"coding_style": ["Use async/await instead of callbacks"]
}
}
```
### Add an Architectural Constraint
```bash
/workflow:session:solidify "No direct DB access from controllers" --type constraint --category architecture
```
Result:
```json
{
"constraints": {
"architecture": ["No direct DB access from controllers"]
}
}
```
### Capture a Session Learning
```bash
/workflow:session:solidify "Cache invalidation requires event sourcing for consistency" --type learning
```
Result:
```json
{
"learnings": [
{
"date": "2024-12-28",
"session_id": "WFS-auth-feature",
"insight": "Cache invalidation requires event sourcing for consistency",
"category": "architecture"
}
]
}
```
## Integration with Planning
The `project-guidelines.json` is consumed by:
1. **`/workflow:tools:context-gather`**: Loads guidelines into context-package.json
2. **`/workflow:plan`**: Passes guidelines to task generation agent
3. **`task-generate-agent`**: Includes guidelines as "CRITICAL CONSTRAINTS" in system prompt
This ensures all future planning respects solidified rules without users needing to re-state them.
## Error Handling
- **Duplicate Rule**: Warn and skip if exact rule already exists
- **Invalid Category**: Suggest valid categories for the type
- **File Corruption**: Backup existing file before modification
## Related Commands
- `/workflow:session:start` - Start a session (may prompt for solidify at end)
- `/workflow:session:complete` - Complete session (prompts for learnings to solidify)
- `/workflow:init` - Creates project-guidelines.json scaffold if missing

View File

@@ -16,7 +16,7 @@ examples:
Manages workflow sessions with three operation modes: discovery (manual), auto (intelligent), and force-new.
**Dual Responsibility**:
1. **Project-level initialization** (first-time only): Creates `.workflow/project.json` for feature registry
1. **Project-level initialization** (first-time only): Creates `.workflow/project-tech.json` for feature registry
2. **Session-level initialization** (always): Creates session directory structure
## Session Types
@@ -38,26 +38,29 @@ 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`.
**Executed before all modes** - Ensures project-level state files exist by calling `/workflow:init`.
### Check and Initialize
```bash
# Check if project state exists
bash(test -f .workflow/project.json && echo "EXISTS" || echo "NOT_FOUND")
# Check if project state exists (both files required)
bash(test -f .workflow/project-tech.json && echo "TECH_EXISTS" || echo "TECH_NOT_FOUND")
bash(test -f .workflow/project-guidelines.json && echo "GUIDELINES_EXISTS" || echo "GUIDELINES_NOT_FOUND")
```
**If NOT_FOUND**, delegate to `/workflow:init`:
**If either NOT_FOUND**, delegate to `/workflow:init`:
```javascript
// Call workflow:init for intelligent project analysis
SlashCommand({command: "/workflow:init"});
// Wait for init completion
// project.json will be created with comprehensive project overview
// project-tech.json and project-guidelines.json will be created
```
**Output**:
- If EXISTS: `PROJECT_STATE: initialized`
- If NOT_FOUND: Calls `/workflow:init` → creates `.workflow/project.json` with full project analysis
- If BOTH_EXIST: `PROJECT_STATE: initialized`
- If NOT_FOUND: Calls `/workflow:init` → creates:
- `.workflow/project-tech.json` with full technical analysis
- `.workflow/project-guidelines.json` with empty scaffold
**Note**: `/workflow:init` uses cli-explore-agent to build comprehensive project understanding (technology stack, architecture, key components). This step runs once per project. Subsequent executions skip initialization.

View File

@@ -9,39 +9,39 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
## Coordinator Role
**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.
**This command is a pure orchestrator**: Executes 6 slash commands in sequence, parse outputs, pass context, and ensure complete TDD workflow creation with Red-Green-Refactor task generation.
**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 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
- SlashCommand execute **expands workflow** by attaching sub-tasks to current TodoWrite
- When executing 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 dispatch next pending phase
- When each phase finishes executing, automatically execute 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 dispatch Phase 1
1. **Start Immediately**: First action is TodoWrite initialization, second action is execute 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 dispatch next pending phase automatically
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. **TDD Context**: All descriptions include "TDD:" prefix
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
7. **Task Attachment Model**: SlashCommand execute **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
## 6-Phase Execution (with Conflict Resolution)
### Phase 1: Session Discovery
**Step 1.1: Dispatch** - Session discovery and initialization
**Step 1.1: Execute** - Session discovery and initialization
```javascript
SlashCommand(command="/workflow:session:start --type tdd --auto \"TDD: [structured-description]\"")
@@ -66,7 +66,7 @@ TEST_FOCUS: [Test scenarios]
### Phase 2: Context Gathering
**Step 2.1: Dispatch** - Context gathering and analysis
**Step 2.1: Execute** - Context gathering and analysis
```javascript
SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"TDD: [structured-description]\"")
@@ -92,7 +92,7 @@ SlashCommand(command="/workflow:tools:context-gather --session [sessionId] \"TDD
### Phase 3: Test Coverage Analysis
**Step 3.1: Dispatch** - Test coverage analysis and framework detection
**Step 3.1: Execute** - Test coverage analysis and framework detection
```javascript
SlashCommand(command="/workflow:tools:test-context-gather --session [sessionId]")
@@ -108,9 +108,9 @@ SlashCommand(command="/workflow:tools:test-context-gather --session [sessionId]"
<!-- TodoWrite: When test-context-gather dispatched, INSERT 3 test-context-gather tasks -->
<!-- TodoWrite: When test-context-gather executed, INSERT 3 test-context-gather tasks -->
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 3 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -124,7 +124,7 @@ SlashCommand(command="/workflow:tools:test-context-gather --session [sessionId]"
]
```
**Note**: SlashCommand dispatch **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand execute **attaches** test-context-gather's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 3.1-3.3** sequentially
@@ -151,7 +151,7 @@ SlashCommand(command="/workflow:tools:test-context-gather --session [sessionId]"
**Trigger**: Only execute when context-package.json indicates conflict_risk is "medium" or "high"
**Step 4.1: Dispatch** - Conflict detection and resolution
**Step 4.1: Execute** - Conflict detection and resolution
```javascript
SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId] --context [contextPath]")
@@ -164,18 +164,18 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
**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 when dispatched -->
<!-- TodoWrite: If conflict_risk ≥ medium, INSERT 3 conflict-resolution tasks when executed -->
**TodoWrite Update (Phase 4 SlashCommand dispatched - tasks attached, if conflict_risk ≥ medium)**:
**TodoWrite Update (Phase 4 SlashCommand executed - tasks attached, if conflict_risk ≥ medium)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -190,7 +190,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
]
```
**Note**: SlashCommand dispatch **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks.
**Note**: SlashCommand execute **attaches** conflict-resolution's 3 tasks. Orchestrator **executes** these tasks.
**Next Action**: Tasks attached → **Execute Phase 4.1-4.3** sequentially
@@ -216,7 +216,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
- Evaluate current context window usage and memory state
- If memory usage is high (>110K tokens or approaching context limits):
**Step 4.5: Dispatch** - Memory compaction
**Step 4.5: Execute** - Memory compaction
```javascript
SlashCommand(command="/compact")
@@ -230,7 +230,7 @@ SlashCommand(command="/workflow:tools:conflict-resolution --session [sessionId]
### Phase 5: TDD Task Generation
**Step 5.1: Dispatch** - TDD task generation via action-planning-agent
**Step 5.1: Execute** - TDD task generation via action-planning-agent
```javascript
SlashCommand(command="/workflow:tools:task-generate-tdd --session [sessionId]")
@@ -251,9 +251,9 @@ SlashCommand(command="/workflow:tools:task-generate-tdd --session [sessionId]")
- IMPL_PLAN.md contains workflow_type: "tdd" in frontmatter
- Task count ≤10 (compliance with task limit)
<!-- TodoWrite: When task-generate-tdd dispatched, INSERT 3 task-generate-tdd tasks -->
<!-- TodoWrite: When task-generate-tdd executed, INSERT 3 task-generate-tdd tasks -->
**TodoWrite Update (Phase 5 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 5 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Phase 1: Session Discovery", "status": "completed", "activeForm": "Executing session discovery"},
@@ -267,7 +267,7 @@ SlashCommand(command="/workflow:tools:task-generate-tdd --session [sessionId]")
]
```
**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.
**Note**: SlashCommand execute **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
@@ -347,7 +347,7 @@ Quality Gate: Consider running /workflow:action-plan-verify to validate TDD task
### Key Principles
1. **Task Attachment** (when SlashCommand dispatched):
1. **Task Attachment** (when SlashCommand executed):
- 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`
@@ -364,7 +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 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.
**Lifecycle Summary**: Initial pending tasks → Phase executed (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
@@ -402,7 +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

View File

@@ -77,18 +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**:
@@ -127,7 +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}
@@ -139,7 +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

View File

@@ -221,6 +221,7 @@ return "conservative";
```javascript
Task(
subagent_type="cli-planning-agent",
run_in_background=false,
description=`Analyze test failures (iteration ${N}) - ${strategy} strategy`,
prompt=`
## Task Objective
@@ -271,6 +272,7 @@ Task(
```javascript
Task(
subagent_type="test-fix-agent",
run_in_background=false,
description=`Execute ${task.meta.type}: ${task.title}`,
prompt=`
## Task Objective
@@ -489,6 +491,10 @@ The orchestrator automatically creates git commits at key checkpoints to enable
**Note**: Final session completion creates additional commit with full summary.
## Post-Completion Expansion
完成后询问用户是否扩展为issue(test/enhance/refactor/doc),选中项调用 `/issue:new "{summary} - {dimension}"`
## Best Practices
1. **Default Settings Work**: 10 iterations sufficient for most cases

View File

@@ -59,8 +59,8 @@ This command is a **pure planning coordinator**:
- **All execution delegated to `/workflow:test-cycle-execute`**
**Task Attachment Model**:
- 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
- SlashCommand execute **expands workflow** by attaching sub-tasks to current TodoWrite
- When executing 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
@@ -128,7 +128,7 @@ This command is a **pure planning coordinator**:
### Core Execution Rules
1. **Start Immediately**: First action is TodoWrite, second is dispatch Phase 1 session creation
1. **Start Immediately**: First action is TodoWrite, second is execute 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
@@ -136,7 +136,7 @@ This command is a **pure planning coordinator**:
6. **Track Progress**: Update TodoWrite dynamically with task attachment/collapse pattern
7. **Automatic Detection**: Mode auto-detected from input pattern
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
9. **Task Attachment Model**: SlashCommand execute **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
@@ -155,7 +155,7 @@ Read(".workflow/active/[sourceSessionId]/.process/context-package.json")
// This preserves user's CLI tool preferences (e.g., "use Codex for fixes")
```
**Step 1.1: Dispatch** - Create test workflow session with preserved intent
**Step 1.1: Execute** - Create test workflow session with preserved intent
```javascript
// Session Mode - Include original task description to enable semantic CLI selection
@@ -187,7 +187,7 @@ SlashCommand(command="/workflow:session:start --type test --new \"Test generatio
#### Phase 2: Gather Test Context
**Step 2.1: Dispatch** - Gather test context via appropriate method
**Step 2.1: Execute** - Gather test context via appropriate method
```javascript
// Session Mode
@@ -224,7 +224,7 @@ SlashCommand(command="/workflow:tools:context-gather --session [testSessionId] \
#### Phase 3: Test Generation Analysis
**Step 3.1: Dispatch** - Generate test requirements using Gemini
**Step 3.1: Execute** - Generate test requirements using Gemini
```javascript
SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessionId] --context [contextPath]")
@@ -284,7 +284,7 @@ For each targeted file/function, Gemini MUST generate:
#### Phase 4: Generate Test Tasks
**Step 4.1: Dispatch** - Generate test task JSONs
**Step 4.1: Execute** - Generate test task JSONs
```javascript
SlashCommand(command="/workflow:tools:test-task-generate --session [testSessionId]")
@@ -381,7 +381,7 @@ CRITICAL - Next Steps:
#### Key Principles
1. **Task Attachment** (when SlashCommand dispatched):
1. **Task Attachment** (when SlashCommand executed):
- Sub-command's internal tasks are **attached** to orchestrator's TodoWrite
- Example - Phase 2 with sub-tasks:
```json
@@ -416,7 +416,7 @@ CRITICAL - Next Steps:
- No user intervention required between phases
- TodoWrite dynamically reflects current execution state
**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.
**Lifecycle Summary**: Initial pending tasks → Phase executed (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

View File

@@ -20,7 +20,7 @@ allowed-tools: SlashCommand(*), TodoWrite(*), Read(*), Bash(*)
**Task Attachment Model**:
- 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
- When a sub-command is executed (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
@@ -69,7 +69,7 @@ Read(".workflow/active/[sourceSessionId]/.process/context-package.json")
// 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
**Step 1.1: Execute** - Create new test workflow session with preserved intent
```javascript
// Include original task description to enable semantic CLI selection
@@ -104,7 +104,7 @@ SlashCommand(command="/workflow:session:start --new \"Test validation for [sourc
### Phase 2: Gather Test Context
**Step 2.1: Dispatch** - Gather test coverage context from source session
**Step 2.1: Execute** - Gather test coverage context from source session
```javascript
SlashCommand(command="/workflow:tools:test-context-gather --session [testSessionId]")
@@ -130,9 +130,9 @@ SlashCommand(command="/workflow:tools:test-context-gather --session [testSession
- Test framework detected
- Test conventions documented
<!-- TodoWrite: When test-context-gather dispatched, INSERT 3 test-context-gather tasks -->
<!-- TodoWrite: When test-context-gather executed, INSERT 3 test-context-gather tasks -->
**TodoWrite Update (Phase 2 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 2 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -168,7 +168,7 @@ SlashCommand(command="/workflow:tools:test-context-gather --session [testSession
### Phase 3: Test Generation Analysis
**Step 3.1: Dispatch** - Analyze test requirements with Gemini
**Step 3.1: Execute** - Analyze test requirements with Gemini
```javascript
SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessionId] --context [testContextPath]")
@@ -199,9 +199,9 @@ SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessi
- Implementation Targets (test files to create)
- Success Criteria
<!-- TodoWrite: When test-concept-enhanced dispatched, INSERT 3 concept-enhanced tasks -->
<!-- TodoWrite: When test-concept-enhanced executed, INSERT 3 concept-enhanced tasks -->
**TodoWrite Update (Phase 3 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 3 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -237,7 +237,7 @@ SlashCommand(command="/workflow:tools:test-concept-enhanced --session [testSessi
### Phase 4: Generate Test Tasks
**Step 4.1: Dispatch** - Generate test task JSON files and planning documents
**Step 4.1: Execute** - Generate test task JSON files and planning documents
```javascript
SlashCommand(command="/workflow:tools:test-task-generate --session [testSessionId]")
@@ -287,9 +287,9 @@ SlashCommand(command="/workflow:tools:test-task-generate --session [testSessionI
- 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 dispatched, INSERT 3 test-task-generate tasks -->
<!-- TodoWrite: When test-task-generate executed, INSERT 3 test-task-generate tasks -->
**TodoWrite Update (Phase 4 SlashCommand dispatched - tasks attached)**:
**TodoWrite Update (Phase 4 SlashCommand executed - tasks attached)**:
```json
[
{"content": "Create independent test session", "status": "completed", "activeForm": "Creating test session"},
@@ -364,7 +364,7 @@ Ready for execution. Use appropriate workflow commands to proceed.
### Key Principles
1. **Task Attachment** (when SlashCommand dispatched):
1. **Task Attachment** (when SlashCommand executed):
- 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`
@@ -381,7 +381,7 @@ 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 dispatched (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 executed (tasks ATTACHED) → Sub-tasks executed sequentially → Phase completed (tasks COLLAPSED to summary) → Next phase begins → Repeat until all phases complete.
### Test-Gen Specific Features
@@ -517,7 +517,7 @@ See `/workflow:tools:test-task-generate` for complete JSON schemas.
**Prerequisite Commands**:
- `/workflow:plan` or `/workflow:execute` - Complete implementation session that needs test validation
**Dispatched by This Command** (4 phases):
**Executed 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

View File

@@ -108,7 +108,7 @@ Phase 4: Apply Modifications
**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}
@@ -124,6 +124,9 @@ Task(subagent_type="cli-execution-agent", prompt=`
## 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
@@ -133,7 +136,7 @@ Task(subagent_type="cli-execution-agent", prompt=`
### 2. Execute CLI Analysis (Enhanced with Exploration + Scenario Uniqueness)
Primary (Gemini):
cd {project_root} && gemini -p "
ccw cli -p "
PURPOSE: Detect conflicts between plan and codebase, using exploration insights
TASK:
• **Review pre-identified conflict_indicators from exploration results**
@@ -152,7 +155,7 @@ Task(subagent_type="cli-execution-agent", prompt=`
- 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 | Prioritize exploration-identified conflicts | analysis=READ-ONLY
"
" --tool gemini --mode analysis --cd {project_root}
Fallback: Qwen (same prompt) → Claude (manual analysis)
@@ -169,125 +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
`)
```
@@ -312,143 +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
@@ -467,14 +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 ${mod.file}...`);
// Check if target file exists (brainstorm files may not exist in lite workflow)
if (!file_exists(mod.file)) {
console.log(` ⚠️ 文件不存在,写入 context-package.json 作为约束`);
fallbackConstraints.push({
source: "conflict-resolution",
conflict_id: mod.conflict_id,
target_file: mod.file,
section: mod.section,
change_type: mod.change_type,
content: mod.new_content,
rationale: mod.rationale
});
return; // Skip to next modification
}
if (mod.change_type === "update") {
Edit({
file_path: mod.file,
@@ -502,14 +354,45 @@ modifications.forEach((mod, idx) => {
}
});
// 3. Update context-package.json with resolution details
// 2b. Generate conflict-resolution.json output file
const resolutionOutput = {
session_id: sessionId,
resolved_at: new Date().toISOString(),
summary: {
total_conflicts: conflicts.length,
resolved_with_strategy: selectedStrategies.length,
custom_handling: customConflicts.length,
fallback_constraints: fallbackConstraints.length
},
resolved_conflicts: selectedStrategies.map(s => ({
conflict_id: s.conflict_id,
strategy_name: s.strategy.name,
strategy_approach: s.strategy.approach,
clarifications: s.clarifications || [],
modifications_applied: s.strategy.modifications?.filter(m =>
appliedModifications.some(am => am.conflict_id === s.conflict_id)
) || []
})),
custom_conflicts: customConflicts.map(c => ({
id: c.id,
brief: c.brief,
category: c.category,
suggestions: c.suggestions,
overlap_analysis: c.overlap_analysis || null
})),
planning_constraints: fallbackConstraints, // Constraints for files that don't exist
failed_modifications: failedModifications
};
const resolutionPath = `.workflow/active/${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));
@@ -582,12 +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
@@ -635,11 +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
@@ -667,7 +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
@@ -121,6 +120,7 @@ const sessionFolder = `.workflow/active/${session_id}/.process`;
const explorationTasks = selectedAngles.map((angle, index) =>
Task(
subagent_type="cli-explore-agent",
run_in_background=false,
description=`Explore: ${angle}`,
prompt=`
## Task Objective
@@ -215,6 +215,7 @@ Write(`${sessionFolder}/explorations-manifest.json`, JSON.stringify(explorationM
```javascript
Task(
subagent_type="context-search-agent",
run_in_background=false,
description="Gather comprehensive context for plan",
prompt=`
## Execution Mode
@@ -235,9 +236,12 @@ Task(
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.
1. **Project State Loading**:
- Read and parse `.workflow/project-tech.json`. Use its `overview` section as the foundational `project_context`. This is your primary source for architecture, tech stack, and key components.
- Read and parse `.workflow/project-guidelines.json`. Load `conventions`, `constraints`, and `learnings` into a `project_guidelines` section.
- If files don'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
@@ -250,17 +254,19 @@ Execute all 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 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
7. Generate and validate context-package.json
2. **Synthesize 4-source data**: Merge findings from all sources (archive > docs > code > web). **Prioritize the context from `project-tech.json`** for architecture and tech stack unless code analysis reveals it's outdated.
3. **Populate `project_context`**: Directly use the `overview` from `project-tech.json` to fill the `project_context` section. Include description, technology_stack, architecture, and key_components.
4. **Populate `project_guidelines`**: Load conventions, constraints, and learnings from `project-guidelines.json` into a dedicated section.
5. Integrate brainstorm artifacts (if .brainstorming/ exists, read content)
6. Perform conflict detection with risk assessment
7. **Inject historical conflicts** from archive analysis into conflict_detection
8. Generate and validate context-package.json
## Output Requirements
Complete context-package.json with:
- **metadata**: task_description, keywords, complexity, tech_stack, session_id
- **project_context**: description, technology_stack, architecture, key_components (sourced from `project.json` overview)
- **project_context**: description, technology_stack, architecture, key_components (sourced from `project-tech.json`)
- **project_guidelines**: {conventions, constraints, quality_rules, learnings} (sourced from `project-guidelines.json`)
- **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
@@ -313,7 +319,8 @@ Refer to `context-search-agent.md` Phase 3.7 for complete `context-package.json`
**Key Sections**:
- **metadata**: Session info, keywords, complexity, tech stack
- **project_context**: Architecture patterns, conventions, tech stack (populated from `project.json` overview)
- **project_context**: Architecture patterns, conventions, tech stack (populated from `project-tech.json`)
- **project_guidelines**: Conventions, constraints, quality rules, learnings (populated from `project-guidelines.json`)
- **assets**: Categorized files with relevance scores (documentation, source_code, config, tests)
- **dependencies**: Internal and external dependency graphs
- **brainstorm_artifacts**: Brainstorm documents with full content (if exists)
@@ -428,7 +435,7 @@ if (historicalConflicts.length > 0 && currentRisk === "low") {
## Notes
- **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`
- **Dual project file integration**: Agent reads both `.workflow/project-tech.json` (tech analysis) and `.workflow/project-guidelines.json` (user constraints) as primary sources
- **Guidelines injection**: Project guidelines are included in context-package to ensure task generation respects user-defined constraints
- **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

@@ -28,6 +28,12 @@ Input Parsing:
├─ Parse flags: --session
└─ Validation: session_id REQUIRED
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)
@@ -57,6 +63,82 @@ Phase 3: Integration (+1 Coordinator, Multi-Module Only)
## 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
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)
}
```
**Build userConfig**:
```javascript
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.**
@@ -89,6 +171,14 @@ Phase 3: Integration (+1 Coordinator, Multi-Module Only)
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 [
@@ -112,8 +202,9 @@ Phase 3: Integration (+1 Coordinator, Multi-Module Only)
```
**Decision Logic**:
- `complexity !== 'High'` → Force Phase 2A (Single Agent, maximize context reuse)
- `modules.length == 1` → Phase 2A (Single Agent, original flow)
- `modules.length >= 2` → Phase 2B + Phase 3 (N+1 Parallel)
- `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.
@@ -127,6 +218,7 @@ Phase 3: Integration (+1 Coordinator, Multi-Module Only)
```javascript
Task(
subagent_type="action-planning-agent",
run_in_background=false,
description="Generate planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md)",
prompt=`
## TASK OBJECTIVE
@@ -150,10 +242,21 @@ Output:
Session ID: {session-id}
MCP Capabilities: {exa_code, exa_web, code_index}
## 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
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
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
@@ -163,6 +266,13 @@ Determine CLI tool usage per-step based on user's task description:
- Use aggregated_insights.all_integration_points for precise modification locations
- 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 as task constraints (for brainstorm-less workflows)
- Reference resolved_conflicts for implementation approach alignment
- Handle custom_conflicts with explicit task notes
## EXPECTED DELIVERABLES
1. Task JSON Files (.task/IMPL-*.json)
- 6-field schema (id, title, status, context_package_path, meta, context, flow_control)
@@ -170,6 +280,7 @@ Determine CLI tool usage per-step based on user's task description:
- 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)**
2. Implementation Plan (IMPL_PLAN.md)
- Context analysis and artifact references
@@ -181,6 +292,27 @@ Determine CLI tool usage per-step based on user's task description:
- Links to task JSONs and summaries
- Matches task JSON hierarchy
## 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", ...] }`
**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
**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`
## QUALITY STANDARDS
Hard Constraints:
- Task count <= 18 (hard limit - request re-scope if exceeded)
@@ -203,7 +335,9 @@ Hard Constraints:
**Condition**: `modules.length >= 2` (multi-module detected)
**Purpose**: Launch N action-planning-agents simultaneously, one per module, for parallel task generation.
**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
@@ -211,27 +345,123 @@ Hard Constraints:
const planningTasks = modules.map(module =>
Task(
subagent_type="action-planning-agent",
description=`Plan ${module.name} module`,
run_in_background=false,
description=`Generate ${module.name} module task JSONs`,
prompt=`
## SCOPE
## TASK OBJECTIVE
Generate task JSON files for ${module.name} module within workflow session
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.
CRITICAL: Follow the progressive loading strategy defined in agent specification (load analysis.md files incrementally due to file size)
## MODULE SCOPE
- Module: ${module.name} (${module.type})
- Focus Paths: ${module.paths.join(', ')}
- Task ID Prefix: IMPL-${module.prefix}
- Task Limit: ≤9 tasks
- Other Modules: ${otherModules.join(', ')}
- Cross-module deps format: "CROSS::{module}::{pattern}"
- Task Limit: ≤9 tasks (hard limit for this module)
- Other Modules: ${otherModules.join(', ')} (reference only, do NOT generate tasks for them)
## SESSION PATHS
Input:
- Session Metadata: .workflow/active/{session-id}/workflow-session.json
- Context Package: .workflow/active/{session-id}/.process/context-package.json
Output:
- Task Dir: .workflow/active/{session-id}/.task/
## INSTRUCTIONS
- Generate tasks ONLY for ${module.name} module
- Use task ID format: IMPL-${module.prefix}1, IMPL-${module.prefix}2, ...
- For cross-module dependencies, use: depends_on: ["CROSS::B::api-endpoint"]
- Maximum 9 tasks per module
## CONTEXT METADATA
Session ID: {session-id}
MCP Capabilities: {exa_code, exa_web, code_index}
## 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)
`
)
);
@@ -255,37 +485,79 @@ await Promise.all(planningTasks);
- Prefix: A, B, C... (assigned by detection order)
- Sequence: 1, 2, 3... (per-module increment)
### Phase 3: Integration (+1 Coordinator, Multi-Module Only)
### 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 documents.
**Purpose**: Collect all module tasks, resolve cross-module dependencies, generate unified IMPL_PLAN.md and TODO_LIST.md documents.
**Integration Logic**:
**Coordinator Agent Invocation**:
```javascript
// 1. Collect all module task JSONs
const allTasks = glob('.task/IMPL-*.json').map(loadJson);
// Wait for all Phase 2B agents to complete
const moduleResults = await Promise.all(planningTasks);
// 2. Resolve cross-module dependencies
for (const task of allTasks) {
if (task.depends_on) {
task.depends_on = task.depends_on.map(dep => {
if (dep.startsWith('CROSS::')) {
// CROSS::B::api-endpoint → find matching IMPL-B* task
const [, targetModule, pattern] = dep.match(/CROSS::(\w+)::(.+)/);
return findTaskByModuleAndPattern(allTasks, targetModule, pattern);
}
return dep;
});
}
}
// 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
// 3. Generate unified IMPL_PLAN.md (grouped by module)
generateIMPL_PLAN(allTasks, modules);
IMPORTANT: This is INTEGRATION ONLY - consolidate existing task JSONs, NOT creating new tasks.
// 4. Generate TODO_LIST.md (hierarchical structure)
generateTODO_LIST(allTasks, modules);
## 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: ${modules.length}
## INTEGRATION STEPS
1. Collect all .task/IMPL-*.json, group by module prefix
2. Resolve CROSS:: dependencies → actual task IDs, update task JSONs
3. Generate IMPL_PLAN.md (multi-module format per agent specification)
4. Generate TODO_LIST.md (hierarchical format per agent specification)
## CROSS-MODULE DEPENDENCY RESOLUTION
- Pattern: CROSS::{module}::{pattern} → IMPL-{module}* matching title/context
- Example: CROSS::B::api-endpoint → IMPL-B1 (if B1 title contains "api-endpoint")
- Log unresolved as warnings
## EXPECTED DELIVERABLES
1. Updated Task JSONs with resolved dependency IDs
2. IMPL_PLAN.md - multi-module format with cross-dependency section
3. TODO_LIST.md - hierarchical by module with cross-dependency section
## SUCCESS CRITERIA
- No CROSS:: placeholders remaining in task JSONs
- IMPL_PLAN.md and TODO_LIST.md generated with multi-module structure
- Return: task count, per-module breakdown, resolved dependency count
`
)
```
**Note**: IMPL_PLAN.md and TODO_LIST.md structure definitions are in `action-planning-agent.md`.
**Dependency Resolution Algorithm**:
```javascript
function resolveCrossModuleDependency(placeholder, allTasks) {
const [, targetModule, pattern] = placeholder.match(/CROSS::(\w+)::(.+)/);
const candidates = allTasks.filter(t =>
t.id.startsWith(`IMPL-${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

@@ -113,7 +113,7 @@ Phase 2: Agent Execution (Document Generation)
// Existing test patterns and coverage analysis
},
"mcp_capabilities": {
"code_index": true,
"codex_lens": true,
"exa_code": true,
"exa_web": true
}
@@ -152,9 +152,14 @@ Phase 2: Agent Execution (Document Generation)
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)
}
```
@@ -189,6 +194,7 @@ 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
@@ -223,7 +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}
@@ -233,15 +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
@@ -333,7 +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
`
)
@@ -373,10 +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()
@@ -408,7 +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

View File

@@ -76,6 +76,7 @@ Phase 3: Output Validation (Command)
```javascript
Task(
subagent_type="cli-execution-agent",
run_in_background=false,
description="Analyze test coverage gaps and generate test strategy",
prompt=`
## TASK OBJECTIVE
@@ -89,7 +90,7 @@ Template: ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.t
## EXECUTION STEPS
1. Execute Gemini analysis:
cd .workflow/active/{test_session_id}/.process && gemini -p "$(cat ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.txt)" --approval-mode yolo
ccw cli -p "$(cat ~/.claude/workflows/cli-templates/prompts/test/test-concept-analysis.txt)" --tool gemini --mode write --cd .workflow/active/{test_session_id}/.process
2. Generate TEST_ANALYSIS_RESULTS.md:
Synthesize gemini-test-analysis.md into standardized format for task generation

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
@@ -86,9 +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
@@ -228,7 +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

@@ -94,6 +94,7 @@ Phase 2: Test Document Generation (Agent)
```javascript
Task(
subagent_type="action-planning-agent",
run_in_background=false,
description="Generate test planning documents (IMPL_PLAN.md, task JSONs, TODO_LIST.md)",
prompt=`
## TASK OBJECTIVE
@@ -106,8 +107,6 @@ CRITICAL:
- Follow the progressive loading strategy defined in your agent specification (load context incrementally from memory-first approach)
## AGENT CONFIGURATION REFERENCE
All test task generation rules, schemas, and quality standards are defined in your agent specification:
@.claude/agents/action-planning-agent.md
Refer to your specification for:
- Test Task JSON Schema (6-field structure with test-specific metadata)

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 dispatches Phase 7
- **Phase 7-10 (Autonomous)**: SlashCommand dispatch **ATTACHES** tasks to current workflow
- **Phase 5 (User Interaction)**: User confirms targets → IMMEDIATELY executes Phase 7
- **Phase 7-10 (Autonomous)**: SlashCommand execute **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
@@ -36,7 +36,7 @@ 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 dispatch is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
**Task Attachment Model**: SlashCommand execute 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`.
@@ -63,26 +63,26 @@ Phase 5: Unified Target Inference
Phase 6: Code Import (Conditional)
└─ Decision (design_source):
├─ code_only | hybrid → Dispatch /workflow:ui-design:import-from-code
├─ code_only | hybrid → Execute /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
├─ visual_only OR supplement needed → Execute /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
├─ visual_only OR incomplete OR regenerate → Execute /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
├─ True → Execute /workflow:ui-design:layout-extract
└─ False → Use code import
Phase 10: UI Assembly
└─ Dispatch /workflow:ui-design:generate → Workflow complete
└─ Execute /workflow:ui-design:generate → Workflow complete
```
## Core Rules
@@ -92,7 +92,7 @@ Phase 10: UI Assembly
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 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: Task Attachment Model** - SlashCommand execute **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
@@ -356,7 +356,7 @@ detect_target_type(target_list):
### Phase 6: Code Import & Completeness Assessment (Conditional)
**Step 6.1: Dispatch** - Import design system from code files
**Step 6.1: Execute** - Import design system from code files
```javascript
IF design_source IN ["code_only", "hybrid"]:
@@ -364,7 +364,7 @@ IF design_source IN ["code_only", "hybrid"]:
command = "/workflow:ui-design:import-from-code --design-id \"{design_id}\" --source \"{code_base_path}\""
TRY:
# SlashCommand dispatch ATTACHES import-from-code's tasks to current workflow
# SlashCommand execute 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
@@ -469,7 +469,7 @@ IF design_source IN ["code_only", "hybrid"]:
### Phase 7: Style Extraction
**Step 7.1: Dispatch** - Extract style design systems
**Step 7.1: Execute** - Extract style design systems
```javascript
IF design_source == "visual_only" OR needs_visual_supplement:
@@ -479,7 +479,7 @@ IF design_source == "visual_only" OR needs_visual_supplement:
(prompt_text ? "--prompt \"{prompt_text}\" " : "") +
"--variants {style_variants} --interactive"
# SlashCommand dispatch ATTACHES style-extract's tasks to current workflow
# SlashCommand execute ATTACHES style-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -490,7 +490,7 @@ ELSE:
### Phase 8: Animation Extraction
**Step 8.1: Dispatch** - Extract animation patterns
**Step 8.1: Execute** - Extract animation patterns
```javascript
# Determine if animation extraction is needed
@@ -522,7 +522,7 @@ IF should_extract_animation:
command = " ".join(command_parts)
# SlashCommand dispatch ATTACHES animation-extract's tasks to current workflow
# SlashCommand execute ATTACHES animation-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -536,7 +536,7 @@ ELSE:
### Phase 9: Layout Extraction
**Step 9.1: Dispatch** - Extract layout templates
**Step 9.1: Execute** - Extract layout templates
```javascript
targets_string = ",".join(inferred_target_list)
@@ -548,7 +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 dispatch ATTACHES layout-extract's tasks to current workflow
# SlashCommand execute ATTACHES layout-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -559,7 +559,7 @@ ELSE:
### Phase 10: UI Assembly
**Step 10.1: Dispatch** - Assemble UI prototypes from design tokens and layout templates
**Step 10.1: Execute** - Assemble UI prototypes from design tokens and layout templates
```javascript
command = "/workflow:ui-design:generate --design-id \"{design_id}\"" + (--session ? " --session {session_id}" : "")
@@ -571,7 +571,7 @@ REPORT: " → Pure assembly: Combining layout templates + design tokens"
REPORT: " → Device: {device_type} (from layout templates)"
REPORT: " → Assembly tasks: {total} combinations"
# SlashCommand dispatch ATTACHES generate's tasks to current workflow
# SlashCommand execute ATTACHES generate's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(command)
@@ -596,10 +596,10 @@ TodoWrite({todos: [
// ⚠️ CRITICAL: Dynamic TodoWrite task attachment strategy:
//
// **Key Concept**: SlashCommand dispatch ATTACHES tasks to current workflow.
// **Key Concept**: SlashCommand execute ATTACHES tasks to current workflow.
// Orchestrator EXECUTES these attached tasks itself, not waiting for external completion.
//
// Phase 7-10 SlashCommand Dispatch Pattern (when tasks are attached):
// Phase 7-10 SlashCommand Execute Pattern (when tasks are attached):
// Example - Phase 7 with sub-tasks:
// [
// {"content": "Phase 7: Style Extraction", "status": "in_progress", "activeForm": "Executing style extraction"},

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 dispatch **ATTACHES** tasks to current workflow
- **Task Attachment**: SlashCommand execute **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 +34,7 @@ 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 dispatch is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
**Task Attachment Model**: SlashCommand execute is NOT delegation - it's task expansion. The orchestrator executes these attached tasks itself, not waiting for external completion.
## Execution Process
@@ -53,30 +53,30 @@ Phase 0: Parameter Parsing & Input Detection
Phase 0.5: Code Import (Conditional)
└─ Decision (design_source):
├─ hybrid → Dispatch /workflow:ui-design:import-from-code
├─ hybrid → Execute /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
└─ Otherwise → Execute /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
└─ Otherwise → Execute /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
└─ Otherwise → Execute /workflow:ui-design:layout-extract
Phase 3: UI Assembly
└─ Dispatch /workflow:ui-design:generate
└─ Execute /workflow:ui-design:generate
Phase 4: Design System Integration
└─ Decision (session_id):
├─ Provided → Dispatch /workflow:ui-design:update
├─ Provided → Execute /workflow:ui-design:update
└─ Not provided → Standalone completion
```
@@ -86,7 +86,7 @@ Phase 4: Design System Integration
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 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.
5. **⚠️ CRITICAL: Task Attachment Model** - SlashCommand execute **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
@@ -276,7 +276,7 @@ TodoWrite({todos: [
### Phase 0.5: Code Import & Completeness Assessment (Conditional)
**Step 0.5.1: Dispatch** - Import design system from code files
**Step 0.5.1: Execute** - Import design system from code files
```javascript
# Only execute if code files detected
@@ -291,7 +291,7 @@ IF design_source == "hybrid":
"--source \"{code_base_path}\""
TRY:
# SlashCommand dispatch ATTACHES import-from-code's tasks to current workflow
# SlashCommand execute 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
@@ -382,7 +382,7 @@ TodoWrite(mark_completed: "Initialize and detect design source",
### Phase 2: Style Extraction
**Step 2.1: Dispatch** - Extract style design system
**Step 2.1: Execute** - Extract style design system
```javascript
# Determine if style extraction needed
@@ -409,7 +409,7 @@ ELSE:
extract_command = " ".join(command_parts)
# SlashCommand dispatch ATTACHES style-extract's tasks to current workflow
# SlashCommand execute ATTACHES style-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(extract_command)
@@ -419,7 +419,7 @@ ELSE:
### Phase 2.3: Animation Extraction
**Step 2.3.1: Dispatch** - Extract animation patterns
**Step 2.3.1: Execute** - Extract animation patterns
```javascript
skip_animation = (design_source == "code_only" AND animation_complete)
@@ -442,7 +442,7 @@ ELSE:
animation_extract_command = " ".join(command_parts)
# SlashCommand dispatch ATTACHES animation-extract's tasks to current workflow
# SlashCommand execute ATTACHES animation-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(animation_extract_command)
@@ -452,7 +452,7 @@ ELSE:
### Phase 2.5: Layout Extraction
**Step 2.5.1: Dispatch** - Extract layout templates
**Step 2.5.1: Execute** - Extract layout templates
```javascript
skip_layout = (design_source == "code_only" AND layout_complete)
@@ -477,7 +477,7 @@ ELSE:
layout_extract_command = " ".join(command_parts)
# SlashCommand dispatch ATTACHES layout-extract's tasks to current workflow
# SlashCommand execute ATTACHES layout-extract's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(layout_extract_command)
@@ -487,13 +487,13 @@ ELSE:
### Phase 3: UI Assembly
**Step 3.1: Dispatch** - Assemble UI prototypes from design tokens and layout templates
**Step 3.1: Execute** - 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 dispatch ATTACHES generate's tasks to current workflow
# SlashCommand execute ATTACHES generate's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(generate_command)
@@ -503,14 +503,14 @@ TodoWrite(mark_completed: "Assemble UI", mark_in_progress: session_id ? "Integra
### Phase 4: Design System Integration
**Step 4.1: Dispatch** - Integrate design system into workflow session
**Step 4.1: Execute** - 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 dispatch ATTACHES update's tasks to current workflow
# SlashCommand execute ATTACHES update's tasks to current workflow
# Orchestrator will EXECUTE these attached tasks itself
SlashCommand(update_command)
@@ -636,10 +636,10 @@ TodoWrite({todos: [
// ⚠️ CRITICAL: Dynamic TodoWrite task attachment strategy:
//
// **Key Concept**: SlashCommand dispatch ATTACHES tasks to current workflow.
// **Key Concept**: SlashCommand execute ATTACHES tasks to current workflow.
// Orchestrator EXECUTES these attached tasks itself, not waiting for external completion.
//
// Phase 2-4 SlashCommand Dispatch Pattern (when tasks are attached):
// Phase 2-4 SlashCommand Execute Pattern (when tasks are attached):
// Example - Phase 2 with sub-tasks:
// [
// {"content": "Phase 0: Initialize and Detect Design Source", "status": "completed", "activeForm": "Initializing"},
@@ -702,7 +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 Dispatched**:
- **Sub-commands Executeed**:
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

@@ -161,6 +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.
@@ -180,14 +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**
@@ -276,6 +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.
@@ -295,14 +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**
@@ -355,6 +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.
@@ -374,14 +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

@@ -1,39 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec classify_folders '{"path":".","outputFormat":"json"}'
# This file will be removed in a future version.
# 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

@@ -1,229 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec convert_tokens_to_css '{"inputPath":"design-tokens.json","outputPath":"tokens.css"}'
# This file will be removed in a future version.
# 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 "}"

View File

@@ -1,161 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec detect_changed_modules '{"baseBranch":"main","format":"list"}'
# This file will be removed in a future version.
# 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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@@ -1,87 +0,0 @@
#!/usr/bin/env bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec discover_design_files '{"sourceDir":".","outputPath":"output.json"}'
# This file will be removed in a future version.
# 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

View File

@@ -1,243 +0,0 @@
/**
* 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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@@ -1,118 +0,0 @@
/**
* 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();
})();

View File

@@ -1,411 +0,0 @@
/**
* 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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@@ -1,717 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec generate_module_docs '{"path":".","strategy":"single-layer","tool":"gemini"}'
# This file will be removed in a future version.
# Generate documentation for modules and projects with multiple strategies
# Usage: generate_module_docs.sh <strategy> <source_path> <project_name> [tool] [model]
# strategy: full|single|project-readme|project-architecture|http-api
# source_path: Path to the source module directory (or project root for project-level docs)
# project_name: Project name for output path (e.g., "myproject")
# tool: gemini|qwen|codex (default: gemini)
# model: Model name (optional, uses tool defaults)
#
# Default Models:
# gemini: gemini-2.5-flash
# qwen: coder-model
# codex: gpt5-codex
#
# Module-Level Strategies:
# full: Full documentation generation
# - Read: All files in current and subdirectories (@**/*)
# - Generate: API.md + README.md for each directory containing code files
# - Use: Deep directories (Layer 3), comprehensive documentation
#
# single: Single-layer documentation
# - Read: Current directory code + child API.md/README.md files
# - Generate: API.md + README.md only in current directory
# - Use: Upper layers (Layer 1-2), incremental updates
#
# Project-Level Strategies:
# project-readme: Project overview documentation
# - Read: All module API.md and README.md files
# - Generate: README.md (project root)
# - Use: After all module docs are generated
#
# project-architecture: System design documentation
# - Read: All module docs + project README
# - Generate: ARCHITECTURE.md + EXAMPLES.md
# - Use: After project README is generated
#
# http-api: HTTP API documentation
# - Read: API route files + existing docs
# - Generate: api/README.md
# - Use: For projects with HTTP APIs
#
# Output Structure:
# Module docs: .workflow/docs/{project_name}/{source_path}/API.md
# Module docs: .workflow/docs/{project_name}/{source_path}/README.md
# Project docs: .workflow/docs/{project_name}/README.md
# Project docs: .workflow/docs/{project_name}/ARCHITECTURE.md
# Project docs: .workflow/docs/{project_name}/EXAMPLES.md
# API docs: .workflow/docs/{project_name}/api/README.md
#
# Features:
# - Path mirroring: source structure → docs structure
# - Template-driven generation
# - Respects .gitignore patterns
# - Detects code vs navigation folders
# - Tool fallback support
# 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" ".workflow"
)
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 folder type (code vs navigation)
detect_folder_type() {
local target_path="$1"
local exclusion_filters="$2"
# Count code files (primary indicators)
local code_count=$(eval "find \"$target_path\" -maxdepth 1 -type f \\( -name '*.ts' -o -name '*.tsx' -o -name '*.js' -o -name '*.jsx' -o -name '*.py' -o -name '*.sh' -o -name '*.go' -o -name '*.rs' \\) $exclusion_filters 2>/dev/null" | wc -l)
if [ $code_count -gt 0 ]; then
echo "code"
else
echo "navigation"
fi
}
# Scan directory structure and generate structured information
scan_directory_structure() {
local target_path="$1"
local strategy="$2"
if [ ! -d "$target_path" ]; then
echo "Directory not found: $target_path"
return 1
fi
local exclusion_filters=$(build_exclusion_filters)
local structure_info=""
# Get basic directory info
local dir_name=$(basename "$target_path")
local total_files=$(eval "find \"$target_path\" -type f $exclusion_filters 2>/dev/null" | wc -l)
local total_dirs=$(eval "find \"$target_path\" -type d $exclusion_filters 2>/dev/null" | wc -l)
local folder_type=$(detect_folder_type "$target_path" "$exclusion_filters")
structure_info+="Directory: $dir_name\n"
structure_info+="Total files: $total_files\n"
structure_info+="Total directories: $total_dirs\n"
structure_info+="Folder type: $folder_type\n\n"
if [ "$strategy" = "full" ]; then
# For full: show all subdirectories with file counts
structure_info+="Subdirectories with files:\n"
while IFS= read -r dir; do
if [ -n "$dir" ] && [ "$dir" != "$target_path" ]; then
local rel_path=${dir#$target_path/}
local file_count=$(eval "find \"$dir\" -maxdepth 1 -type f $exclusion_filters 2>/dev/null" | wc -l)
if [ $file_count -gt 0 ]; then
local subdir_type=$(detect_folder_type "$dir" "$exclusion_filters")
structure_info+=" - $rel_path/ ($file_count files, type: $subdir_type)\n"
fi
fi
done < <(eval "find \"$target_path\" -type d $exclusion_filters 2>/dev/null")
else
# For single: show direct children only
structure_info+="Direct subdirectories:\n"
while IFS= read -r dir; do
if [ -n "$dir" ]; then
local dir_name=$(basename "$dir")
local file_count=$(eval "find \"$dir\" -maxdepth 1 -type f $exclusion_filters 2>/dev/null" | wc -l)
local has_api=$([ -f "$dir/API.md" ] && echo " [has API.md]" || echo "")
local has_readme=$([ -f "$dir/README.md" ] && echo " [has README.md]" || echo "")
structure_info+=" - $dir_name/ ($file_count files)$has_api$has_readme\n"
fi
done < <(eval "find \"$target_path\" -maxdepth 1 -type d $exclusion_filters 2>/dev/null" | grep -v "^$target_path$")
fi
# Show main file types in current directory
structure_info+="\nCurrent directory files:\n"
local code_files=$(eval "find \"$target_path\" -maxdepth 1 -type f \\( -name '*.ts' -o -name '*.tsx' -o -name '*.js' -o -name '*.jsx' -o -name '*.py' -o -name '*.sh' -o -name '*.go' -o -name '*.rs' \\) $exclusion_filters 2>/dev/null" | wc -l)
local config_files=$(eval "find \"$target_path\" -maxdepth 1 -type f \\( -name '*.json' -o -name '*.yaml' -o -name '*.yml' -o -name '*.toml' \\) $exclusion_filters 2>/dev/null" | wc -l)
local doc_files=$(eval "find \"$target_path\" -maxdepth 1 -type f -name '*.md' $exclusion_filters 2>/dev/null" | wc -l)
structure_info+=" - Code files: $code_files\n"
structure_info+=" - Config files: $config_files\n"
structure_info+=" - Documentation: $doc_files\n"
printf "%b" "$structure_info"
}
# Calculate output path based on source path and project name
calculate_output_path() {
local source_path="$1"
local project_name="$2"
local project_root="$3"
# Get absolute path of source (normalize to Unix-style path)
local abs_source=$(cd "$source_path" && pwd)
# Normalize project root to same format
local norm_project_root=$(cd "$project_root" && pwd)
# Calculate relative path from project root
local rel_path="${abs_source#$norm_project_root}"
# Remove leading slash if present
rel_path="${rel_path#/}"
# If source is project root, use project name directly
if [ "$abs_source" = "$norm_project_root" ] || [ -z "$rel_path" ]; then
echo "$norm_project_root/.workflow/docs/$project_name"
else
echo "$norm_project_root/.workflow/docs/$project_name/$rel_path"
fi
}
generate_module_docs() {
local strategy="$1"
local source_path="$2"
local project_name="$3"
local tool="${4:-gemini}"
local model="$5"
# Validate parameters
if [ -z "$strategy" ] || [ -z "$source_path" ] || [ -z "$project_name" ]; then
echo "❌ Error: Strategy, source path, and project name are required"
echo "Usage: generate_module_docs.sh <strategy> <source_path> <project_name> [tool] [model]"
echo "Module strategies: full, single"
echo "Project strategies: project-readme, project-architecture, http-api"
return 1
fi
# Validate strategy
local valid_strategies=("full" "single" "project-readme" "project-architecture" "http-api")
local strategy_valid=false
for valid_strategy in "${valid_strategies[@]}"; do
if [ "$strategy" = "$valid_strategy" ]; then
strategy_valid=true
break
fi
done
if [ "$strategy_valid" = false ]; then
echo "❌ Error: Invalid strategy '$strategy'"
echo "Valid module strategies: full, single"
echo "Valid project strategies: project-readme, project-architecture, http-api"
return 1
fi
if [ ! -d "$source_path" ]; then
echo "❌ Error: Source directory '$source_path' does not exist"
return 1
fi
# Set default models if not specified
if [ -z "$model" ]; then
case "$tool" in
gemini)
model="gemini-2.5-flash"
;;
qwen)
model="coder-model"
;;
codex)
model="gpt5-codex"
;;
*)
model=""
;;
esac
fi
# Build exclusion filters
local exclusion_filters=$(build_exclusion_filters)
# Get project root
local project_root=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
# Determine if this is a project-level strategy
local is_project_level=false
if [[ "$strategy" =~ ^project- ]] || [ "$strategy" = "http-api" ]; then
is_project_level=true
fi
# Calculate output path
local output_path
if [ "$is_project_level" = true ]; then
# Project-level docs go to project root
if [ "$strategy" = "http-api" ]; then
output_path="$project_root/.workflow/docs/$project_name/api"
else
output_path="$project_root/.workflow/docs/$project_name"
fi
else
output_path=$(calculate_output_path "$source_path" "$project_name" "$project_root")
fi
# Create output directory
mkdir -p "$output_path"
# Detect folder type (only for module-level strategies)
local folder_type=""
if [ "$is_project_level" = false ]; then
folder_type=$(detect_folder_type "$source_path" "$exclusion_filters")
fi
# Load templates based on strategy
local api_template=""
local readme_template=""
local template_content=""
if [ "$is_project_level" = true ]; then
# Project-level templates
case "$strategy" in
project-readme)
local proj_readme_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/project-readme.txt"
if [ -f "$proj_readme_path" ]; then
template_content=$(cat "$proj_readme_path")
echo " 📋 Loaded Project README template: $(wc -l < "$proj_readme_path") lines"
fi
;;
project-architecture)
local arch_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/project-architecture.txt"
local examples_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/project-examples.txt"
if [ -f "$arch_path" ]; then
template_content=$(cat "$arch_path")
echo " 📋 Loaded Architecture template: $(wc -l < "$arch_path") lines"
fi
if [ -f "$examples_path" ]; then
template_content="$template_content
EXAMPLES TEMPLATE:
$(cat "$examples_path")"
echo " 📋 Loaded Examples template: $(wc -l < "$examples_path") lines"
fi
;;
http-api)
local api_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/api.txt"
if [ -f "$api_path" ]; then
template_content=$(cat "$api_path")
echo " 📋 Loaded HTTP API template: $(wc -l < "$api_path") lines"
fi
;;
esac
else
# Module-level templates
local api_template_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/api.txt"
local readme_template_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/module-readme.txt"
local nav_template_path="$HOME/.claude/workflows/cli-templates/prompts/documentation/folder-navigation.txt"
if [ "$folder_type" = "code" ]; then
if [ -f "$api_template_path" ]; then
api_template=$(cat "$api_template_path")
echo " 📋 Loaded API template: $(wc -l < "$api_template_path") lines"
fi
if [ -f "$readme_template_path" ]; then
readme_template=$(cat "$readme_template_path")
echo " 📋 Loaded README template: $(wc -l < "$readme_template_path") lines"
fi
else
# Navigation folder uses navigation template
if [ -f "$nav_template_path" ]; then
readme_template=$(cat "$nav_template_path")
echo " 📋 Loaded Navigation template: $(wc -l < "$nav_template_path") lines"
fi
fi
fi
# Scan directory structure (only for module-level strategies)
local structure_info=""
if [ "$is_project_level" = false ]; then
echo " 🔍 Scanning directory structure..."
structure_info=$(scan_directory_structure "$source_path" "$strategy")
fi
# Prepare logging info
local module_name=$(basename "$source_path")
echo "⚡ Generating docs: $source_path$output_path"
echo " Strategy: $strategy | Tool: $tool | Model: $model | Type: $folder_type"
echo " Output: $output_path"
# Build strategy-specific prompt
local final_prompt=""
# Project-level strategies
if [ "$strategy" = "project-readme" ]; then
final_prompt="PURPOSE: Generate comprehensive project overview documentation
PROJECT: $project_name
OUTPUT: Current directory (file will be moved to final location)
Read: @.workflow/docs/$project_name/**/*.md
Context: All module documentation files from the project
Generate ONE documentation file in current directory:
- README.md - Project root documentation
Template:
$template_content
Instructions:
- Create README.md in CURRENT DIRECTORY
- Synthesize information from all module docs
- Include project overview, getting started, and navigation
- Create clear module navigation with links
- Follow template structure exactly"
elif [ "$strategy" = "project-architecture" ]; then
final_prompt="PURPOSE: Generate system design and usage examples documentation
PROJECT: $project_name
OUTPUT: Current directory (files will be moved to final location)
Read: @.workflow/docs/$project_name/**/*.md
Context: All project documentation including module docs and project README
Generate TWO documentation files in current directory:
1. ARCHITECTURE.md - System architecture and design patterns
2. EXAMPLES.md - End-to-end usage examples
Template:
$template_content
Instructions:
- Create both ARCHITECTURE.md and EXAMPLES.md in CURRENT DIRECTORY
- Synthesize architectural patterns from module documentation
- Document system structure, module relationships, and design decisions
- Provide practical code examples and usage scenarios
- Follow template structure for both files"
elif [ "$strategy" = "http-api" ]; then
final_prompt="PURPOSE: Generate HTTP API reference documentation
PROJECT: $project_name
OUTPUT: Current directory (file will be moved to final location)
Read: @**/*.{ts,js,py,go,rs} @.workflow/docs/$project_name/**/*.md
Context: API route files and existing documentation
Generate ONE documentation file in current directory:
- README.md - HTTP API documentation (in api/ subdirectory)
Template:
$template_content
Instructions:
- Create README.md in CURRENT DIRECTORY
- Document all HTTP endpoints (routes, methods, parameters, responses)
- Include authentication requirements and error codes
- Provide request/response examples
- Follow template structure (Part B: HTTP API documentation)"
# Module-level strategies
elif [ "$strategy" = "full" ]; then
# Full strategy: read all files, generate for each directory
if [ "$folder_type" = "code" ]; then
final_prompt="PURPOSE: Generate comprehensive API and module documentation
Directory Structure Analysis:
$structure_info
SOURCE: $source_path
OUTPUT: Current directory (files will be moved to final location)
Read: @**/*
Generate TWO documentation files in current directory:
1. API.md - Code API documentation (functions, classes, interfaces)
Template:
$api_template
2. README.md - Module overview documentation
Template:
$readme_template
Instructions:
- Generate both API.md and README.md in CURRENT DIRECTORY
- If subdirectories contain code files, generate their docs too (recursive)
- Work bottom-up: deepest directories first
- Follow template structure exactly
- Use structure analysis for context"
else
# Navigation folder - README only
final_prompt="PURPOSE: Generate navigation documentation for folder structure
Directory Structure Analysis:
$structure_info
SOURCE: $source_path
OUTPUT: Current directory (file will be moved to final location)
Read: @**/*
Generate ONE documentation file in current directory:
- README.md - Navigation and folder overview
Template:
$readme_template
Instructions:
- Create README.md in CURRENT DIRECTORY
- Focus on folder structure and navigation
- Link to subdirectory documentation
- Use structure analysis for context"
fi
else
# Single strategy: read current + child docs only
if [ "$folder_type" = "code" ]; then
final_prompt="PURPOSE: Generate API and module documentation for current directory
Directory Structure Analysis:
$structure_info
SOURCE: $source_path
OUTPUT: Current directory (files will be moved to final location)
Read: @*/API.md @*/README.md @*.ts @*.tsx @*.js @*.jsx @*.py @*.sh @*.go @*.rs @*.md @*.json @*.yaml @*.yml
Generate TWO documentation files in current directory:
1. API.md - Code API documentation
Template:
$api_template
2. README.md - Module overview
Template:
$readme_template
Instructions:
- Generate both API.md and README.md in CURRENT DIRECTORY
- Reference child documentation, do not duplicate
- Follow template structure
- Use structure analysis for current directory context"
else
# Navigation folder - README only
final_prompt="PURPOSE: Generate navigation documentation
Directory Structure Analysis:
$structure_info
SOURCE: $source_path
OUTPUT: Current directory (file will be moved to final location)
Read: @*/API.md @*/README.md @*.md
Generate ONE documentation file in current directory:
- README.md - Navigation and overview
Template:
$readme_template
Instructions:
- Create README.md in CURRENT DIRECTORY
- Link to child documentation
- Use structure analysis for navigation context"
fi
fi
# Execute documentation generation
local start_time=$(date +%s)
echo " 🔄 Starting documentation generation..."
if cd "$source_path" 2>/dev/null; then
local tool_result=0
# Store current output path for CLI context
export DOC_OUTPUT_PATH="$output_path"
# Record git HEAD before CLI execution (to detect unwanted auto-commits)
local git_head_before=""
if git rev-parse --git-dir >/dev/null 2>&1; then
git_head_before=$(git rev-parse HEAD 2>/dev/null)
fi
# Execute with selected tool
case "$tool" in
qwen)
if [ "$model" = "coder-model" ]; then
qwen -p "$final_prompt" --yolo 2>&1
else
qwen -p "$final_prompt" -m "$model" --yolo 2>&1
fi
tool_result=$?
;;
codex)
codex --full-auto exec "$final_prompt" -m "$model" --skip-git-repo-check -s danger-full-access 2>&1
tool_result=$?
;;
gemini)
gemini -p "$final_prompt" -m "$model" --yolo 2>&1
tool_result=$?
;;
*)
echo " ⚠️ Unknown tool: $tool, defaulting to gemini"
gemini -p "$final_prompt" -m "$model" --yolo 2>&1
tool_result=$?
;;
esac
# Move generated files to output directory
local docs_created=0
local moved_files=""
if [ $tool_result -eq 0 ]; then
if [ "$is_project_level" = true ]; then
# Project-level documentation files
case "$strategy" in
project-readme)
if [ -f "README.md" ]; then
mv "README.md" "$output_path/README.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="README.md "
}
fi
;;
project-architecture)
if [ -f "ARCHITECTURE.md" ]; then
mv "ARCHITECTURE.md" "$output_path/ARCHITECTURE.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="ARCHITECTURE.md "
}
fi
if [ -f "EXAMPLES.md" ]; then
mv "EXAMPLES.md" "$output_path/EXAMPLES.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="EXAMPLES.md "
}
fi
;;
http-api)
if [ -f "README.md" ]; then
mv "README.md" "$output_path/README.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="api/README.md "
}
fi
;;
esac
else
# Module-level documentation files
# Check and move API.md if it exists
if [ "$folder_type" = "code" ] && [ -f "API.md" ]; then
mv "API.md" "$output_path/API.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="API.md "
}
fi
# Check and move README.md if it exists
if [ -f "README.md" ]; then
mv "README.md" "$output_path/README.md" 2>/dev/null && {
docs_created=$((docs_created + 1))
moved_files+="README.md "
}
fi
fi
fi
# Check if CLI tool auto-committed (and revert if needed)
if [ -n "$git_head_before" ]; then
local git_head_after=$(git rev-parse HEAD 2>/dev/null)
if [ "$git_head_before" != "$git_head_after" ]; then
echo " ⚠️ Detected unwanted auto-commit by CLI tool, reverting..."
git reset --soft "$git_head_before" 2>/dev/null
echo " ✅ Auto-commit reverted (files remain staged)"
fi
fi
if [ $docs_created -gt 0 ]; then
local end_time=$(date +%s)
local duration=$((end_time - start_time))
echo " ✅ Generated $docs_created doc(s) in ${duration}s: $moved_files"
cd - > /dev/null
return 0
else
echo " ❌ Documentation generation failed for $source_path"
cd - > /dev/null
return 1
fi
else
echo " ❌ Cannot access directory: $source_path"
return 1
fi
}
# Execute function if script is run directly
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
# Show help if no arguments or help requested
if [ $# -eq 0 ] || [ "$1" = "-h" ] || [ "$1" = "--help" ]; then
echo "Usage: generate_module_docs.sh <strategy> <source_path> <project_name> [tool] [model]"
echo ""
echo "Module-Level Strategies:"
echo " full - Generate docs for all subdirectories with code"
echo " single - Generate docs only for current directory"
echo ""
echo "Project-Level Strategies:"
echo " project-readme - Generate project root README.md"
echo " project-architecture - Generate ARCHITECTURE.md + EXAMPLES.md"
echo " http-api - Generate HTTP API documentation (api/README.md)"
echo ""
echo "Tools: gemini (default), qwen, codex"
echo "Models: Use tool defaults if not specified"
echo ""
echo "Module Examples:"
echo " ./generate_module_docs.sh full ./src/auth myproject"
echo " ./generate_module_docs.sh single ./components myproject gemini"
echo ""
echo "Project Examples:"
echo " ./generate_module_docs.sh project-readme . myproject"
echo " ./generate_module_docs.sh project-architecture . myproject qwen"
echo " ./generate_module_docs.sh http-api . myproject"
exit 0
fi
generate_module_docs "$@"
fi

View File

@@ -1,170 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec get_modules_by_depth '{"format":"list","path":"."}' OR ccw tool exec get_modules_by_depth '{}'
# This file will be removed in a future version.
# Get modules organized by directory depth (deepest first)
# Usage: get_modules_by_depth.sh [format]
# format: list|grouped|json (default: list)
# Parse .gitignore patterns and build exclusion filters
build_exclusion_filters() {
local filters=""
# Always exclude these system/cache directories and common web dev packages
local system_excludes=(
# Version control and IDE
".git" ".gitignore" ".gitmodules" ".gitattributes"
".svn" ".hg" ".bzr"
".history" ".vscode" ".idea" ".vs" ".vscode-test"
".sublime-text" ".atom"
# Python
"__pycache__" ".pytest_cache" ".mypy_cache" ".tox"
".coverage" "htmlcov" ".nox" ".venv" "venv" "env"
".egg-info" "*.egg-info" ".eggs" ".wheel"
"site-packages" ".python-version" ".pyc"
# Node.js/JavaScript
"node_modules" ".npm" ".yarn" ".pnpm" "yarn-error.log"
".nyc_output" "coverage" ".next" ".nuxt"
".cache" ".parcel-cache" ".vite" "dist" "build"
".turbo" ".vercel" ".netlify"
# Package managers
".pnpm-store" "pnpm-lock.yaml" "yarn.lock" "package-lock.json"
".bundle" "vendor/bundle" "Gemfile.lock"
".gradle" "gradle" "gradlew" "gradlew.bat"
".mvn" "target" ".m2"
# Build/compile outputs
"dist" "build" "out" "output" "_site" "public"
".output" ".generated" "generated" "gen"
"bin" "obj" "Debug" "Release"
# Testing
".pytest_cache" ".coverage" "htmlcov" "test-results"
".nyc_output" "junit.xml" "test_results"
"cypress/screenshots" "cypress/videos"
"playwright-report" ".playwright"
# Logs and temp files
"logs" "*.log" "log" "tmp" "temp" ".tmp" ".temp"
".env" ".env.local" ".env.*.local"
".DS_Store" "Thumbs.db" "*.tmp" "*.swp" "*.swo"
# Documentation build outputs
"_book" "_site" "docs/_build" "site" "gh-pages"
".docusaurus" ".vuepress" ".gitbook"
# Database files
"*.sqlite" "*.sqlite3" "*.db" "data.db"
# OS and editor files
".DS_Store" "Thumbs.db" "desktop.ini"
"*.stackdump" "*.core"
# Cloud and deployment
".serverless" ".terraform" "terraform.tfstate"
".aws" ".azure" ".gcp"
# Mobile development
".gradle" "build" ".expo" ".metro"
"android/app/build" "ios/build" "DerivedData"
# Game development
"Library" "Temp" "ProjectSettings"
"Logs" "MemoryCaptures" "UserSettings"
)
for exclude in "${system_excludes[@]}"; do
filters+=" -not -path '*/$exclude' -not -path '*/$exclude/*'"
done
# Parse .gitignore if it exists
if [ -f ".gitignore" ]; then
while IFS= read -r line; do
# Skip empty lines and comments
[[ -z "$line" || "$line" =~ ^[[:space:]]*# ]] && continue
# Remove trailing slash and whitespace
line=$(echo "$line" | sed 's|/$||' | xargs)
# Add to filters
filters+=" -not -path '*/$line' -not -path '*/$line/*'"
done < .gitignore
fi
echo "$filters"
}
get_modules_by_depth() {
local format="${1:-list}"
local exclusion_filters=$(build_exclusion_filters)
local max_depth=$(eval "find . -type d $exclusion_filters 2>/dev/null" | awk -F/ '{print NF-1}' | sort -n | tail -1)
case "$format" in
"grouped")
echo "📊 Modules by depth (deepest first):"
for depth in $(seq $max_depth -1 0); do
local dirs=$(eval "find . -mindepth $depth -maxdepth $depth -type d $exclusion_filters 2>/dev/null" | \
while read dir; do
if [ $(find "$dir" -maxdepth 1 -type f 2>/dev/null | wc -l) -gt 0 ]; then
local claude_indicator=""
[ -f "$dir/CLAUDE.md" ] && claude_indicator=" [✓]"
echo "$dir$claude_indicator"
fi
done)
if [ -n "$dirs" ]; then
echo " 📁 Depth $depth:"
echo "$dirs" | sed 's/^/ - /'
fi
done
;;
"json")
echo "{"
echo " \"max_depth\": $max_depth,"
echo " \"modules\": {"
for depth in $(seq $max_depth -1 0); do
local dirs=$(eval "find . -mindepth $depth -maxdepth $depth -type d $exclusion_filters 2>/dev/null" | \
while read dir; do
if [ $(find "$dir" -maxdepth 1 -type f 2>/dev/null | wc -l) -gt 0 ]; then
local has_claude="false"
[ -f "$dir/CLAUDE.md" ] && has_claude="true"
echo "{\"path\":\"$dir\",\"has_claude\":$has_claude}"
fi
done | tr '\n' ',')
if [ -n "$dirs" ]; then
dirs=${dirs%,} # Remove trailing comma
echo " \"$depth\": [$dirs]"
[ $depth -gt 0 ] && echo ","
fi
done
echo " }"
echo "}"
;;
"list"|*)
# Simple list format (deepest first)
for depth in $(seq $max_depth -1 0); do
eval "find . -mindepth $depth -maxdepth $depth -type d $exclusion_filters 2>/dev/null" | \
while read dir; do
if [ $(find "$dir" -maxdepth 1 -type f 2>/dev/null | wc -l) -gt 0 ]; then
local file_count=$(find "$dir" -maxdepth 1 -type f 2>/dev/null | wc -l)
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"
fi
done
done
;;
esac
}
# Execute function if script is run directly
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
get_modules_by_depth "$@"
fi

View File

@@ -1,395 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec ui_generate_preview '{"designPath":"design-run-1","outputDir":"preview"}'
# This file will be removed in a future version.
#
# UI Generate Preview v2.0 - Template-Based Preview Generation
# Purpose: Generate compare.html and index.html using template substitution
# Template: ~/.claude/workflows/_template-compare-matrix.html
#
# Usage: ui-generate-preview.sh <prototypes_dir> [--template <path>]
#
set -e
# Color output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Default template path
TEMPLATE_PATH="$HOME/.claude/workflows/_template-compare-matrix.html"
# Parse arguments
prototypes_dir="${1:-.}"
shift || true
while [[ $# -gt 0 ]]; do
case $1 in
--template)
TEMPLATE_PATH="$2"
shift 2
;;
*)
echo -e "${RED}Unknown option: $1${NC}"
exit 1
;;
esac
done
if [[ ! -d "$prototypes_dir" ]]; then
echo -e "${RED}Error: Directory not found: $prototypes_dir${NC}"
exit 1
fi
cd "$prototypes_dir" || exit 1
echo -e "${GREEN}📊 Auto-detecting matrix dimensions...${NC}"
# Auto-detect styles, layouts, targets from file patterns
# Pattern: {target}-style-{s}-layout-{l}.html
styles=$(find . -maxdepth 1 -name "*-style-*-layout-*.html" | \
sed 's/.*-style-\([0-9]\+\)-.*/\1/' | sort -un)
layouts=$(find . -maxdepth 1 -name "*-style-*-layout-*.html" | \
sed 's/.*-layout-\([0-9]\+\)\.html/\1/' | sort -un)
targets=$(find . -maxdepth 1 -name "*-style-*-layout-*.html" | \
sed 's/\.\///; s/-style-.*//' | sort -u)
S=$(echo "$styles" | wc -l)
L=$(echo "$layouts" | wc -l)
T=$(echo "$targets" | wc -l)
echo -e " Detected: ${GREEN}${S}${NC} styles × ${GREEN}${L}${NC} layouts × ${GREEN}${T}${NC} targets"
if [[ $S -eq 0 ]] || [[ $L -eq 0 ]] || [[ $T -eq 0 ]]; then
echo -e "${RED}Error: No prototype files found matching pattern {target}-style-{s}-layout-{l}.html${NC}"
exit 1
fi
# ============================================================================
# Generate compare.html from template
# ============================================================================
echo -e "${YELLOW}🎨 Generating compare.html from template...${NC}"
if [[ ! -f "$TEMPLATE_PATH" ]]; then
echo -e "${RED}Error: Template not found: $TEMPLATE_PATH${NC}"
exit 1
fi
# Build pages/targets JSON array
PAGES_JSON="["
first=true
for target in $targets; do
if [[ "$first" == true ]]; then
first=false
else
PAGES_JSON+=", "
fi
PAGES_JSON+="\"$target\""
done
PAGES_JSON+="]"
# Generate metadata
RUN_ID="run-$(date +%Y%m%d-%H%M%S)"
SESSION_ID="standalone"
TIMESTAMP=$(date -u +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u +"%Y-%m-%d")
# Replace placeholders in template
cat "$TEMPLATE_PATH" | \
sed "s|{{run_id}}|${RUN_ID}|g" | \
sed "s|{{session_id}}|${SESSION_ID}|g" | \
sed "s|{{timestamp}}|${TIMESTAMP}|g" | \
sed "s|{{style_variants}}|${S}|g" | \
sed "s|{{layout_variants}}|${L}|g" | \
sed "s|{{pages_json}}|${PAGES_JSON}|g" \
> compare.html
echo -e "${GREEN} ✓ Generated compare.html from template${NC}"
# ============================================================================
# Generate index.html
# ============================================================================
echo -e "${YELLOW}📋 Generating index.html...${NC}"
cat > index.html << 'EOF'
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>UI Prototypes Index</title>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
max-width: 1200px;
margin: 0 auto;
padding: 40px 20px;
background: #f5f5f5;
}
h1 { margin-bottom: 10px; color: #333; }
.subtitle { color: #666; margin-bottom: 30px; }
.cta {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
padding: 20px;
border-radius: 8px;
margin-bottom: 30px;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
}
.cta h2 { margin-bottom: 10px; }
.cta a {
display: inline-block;
background: white;
color: #667eea;
padding: 10px 20px;
border-radius: 6px;
text-decoration: none;
font-weight: 600;
margin-top: 10px;
}
.cta a:hover { background: #f8f9fa; }
.style-section {
background: white;
padding: 20px;
border-radius: 8px;
margin-bottom: 20px;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.style-section h2 {
color: #495057;
margin-bottom: 15px;
padding-bottom: 10px;
border-bottom: 2px solid #e9ecef;
}
.target-group {
margin-bottom: 20px;
}
.target-group h3 {
color: #6c757d;
font-size: 16px;
margin-bottom: 10px;
}
.link-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 10px;
}
.prototype-link {
padding: 12px 16px;
background: #f8f9fa;
border: 1px solid #dee2e6;
border-radius: 6px;
text-decoration: none;
color: #495057;
display: flex;
justify-content: space-between;
align-items: center;
transition: all 0.2s;
}
.prototype-link:hover {
background: #e9ecef;
border-color: #667eea;
transform: translateX(2px);
}
.prototype-link .label { font-weight: 500; }
.prototype-link .icon { color: #667eea; }
</style>
</head>
<body>
<h1>🎨 UI Prototypes Index</h1>
<p class="subtitle">Generated __S__×__L__×__T__ = __TOTAL__ prototypes</p>
<div class="cta">
<h2>📊 Interactive Comparison</h2>
<p>View all styles and layouts side-by-side in an interactive matrix</p>
<a href="compare.html">Open Matrix View →</a>
</div>
<h2>📂 All Prototypes</h2>
__CONTENT__
</body>
</html>
EOF
# Build content HTML
CONTENT=""
for style in $styles; do
CONTENT+="<div class='style-section'>"$'\n'
CONTENT+="<h2>Style ${style}</h2>"$'\n'
for target in $targets; do
target_capitalized="$(echo ${target:0:1} | tr '[:lower:]' '[:upper:]')${target:1}"
CONTENT+="<div class='target-group'>"$'\n'
CONTENT+="<h3>${target_capitalized}</h3>"$'\n'
CONTENT+="<div class='link-grid'>"$'\n'
for layout in $layouts; do
html_file="${target}-style-${style}-layout-${layout}.html"
if [[ -f "$html_file" ]]; then
CONTENT+="<a href='${html_file}' class='prototype-link' target='_blank'>"$'\n'
CONTENT+="<span class='label'>Layout ${layout}</span>"$'\n'
CONTENT+="<span class='icon'>↗</span>"$'\n'
CONTENT+="</a>"$'\n'
fi
done
CONTENT+="</div></div>"$'\n'
done
CONTENT+="</div>"$'\n'
done
# Calculate total
TOTAL_PROTOTYPES=$((S * L * T))
# Replace placeholders (using a temp file for complex replacement)
{
echo "$CONTENT" > /tmp/content_tmp.txt
sed "s|__S__|${S}|g" index.html | \
sed "s|__L__|${L}|g" | \
sed "s|__T__|${T}|g" | \
sed "s|__TOTAL__|${TOTAL_PROTOTYPES}|g" | \
sed -e "/__CONTENT__/r /tmp/content_tmp.txt" -e "/__CONTENT__/d" > /tmp/index_tmp.html
mv /tmp/index_tmp.html index.html
rm -f /tmp/content_tmp.txt
}
echo -e "${GREEN} ✓ Generated index.html${NC}"
# ============================================================================
# Generate PREVIEW.md
# ============================================================================
echo -e "${YELLOW}📝 Generating PREVIEW.md...${NC}"
cat > PREVIEW.md << EOF
# UI Prototypes Preview Guide
Generated: $(date +"%Y-%m-%d %H:%M:%S")
## 📊 Matrix Dimensions
- **Styles**: ${S}
- **Layouts**: ${L}
- **Targets**: ${T}
- **Total Prototypes**: $((S*L*T))
## 🌐 How to View
### Option 1: Interactive Matrix (Recommended)
Open \`compare.html\` in your browser to see all prototypes in an interactive matrix view.
**Features**:
- Side-by-side comparison of all styles and layouts
- Switch between targets using the dropdown
- Adjust grid columns for better viewing
- Direct links to full-page views
- Selection system with export to JSON
- Fullscreen mode for detailed inspection
### Option 2: Simple Index
Open \`index.html\` for a simple list of all prototypes with direct links.
### Option 3: Direct File Access
Each prototype can be opened directly:
- Pattern: \`{target}-style-{s}-layout-{l}.html\`
- Example: \`dashboard-style-1-layout-1.html\`
## 📁 File Structure
\`\`\`
prototypes/
├── compare.html # Interactive matrix view
├── index.html # Simple navigation index
├── PREVIEW.md # This file
EOF
for style in $styles; do
for target in $targets; do
for layout in $layouts; do
echo "├── ${target}-style-${style}-layout-${layout}.html" >> PREVIEW.md
echo "├── ${target}-style-${style}-layout-${layout}.css" >> PREVIEW.md
done
done
done
cat >> PREVIEW.md << 'EOF2'
```
## 🎨 Style Variants
EOF2
for style in $styles; do
cat >> PREVIEW.md << EOF3
### Style ${style}
EOF3
style_guide="../style-extraction/style-${style}/style-guide.md"
if [[ -f "$style_guide" ]]; then
head -n 10 "$style_guide" | tail -n +2 >> PREVIEW.md 2>/dev/null || echo "Design philosophy and tokens" >> PREVIEW.md
else
echo "Design system ${style}" >> PREVIEW.md
fi
echo "" >> PREVIEW.md
done
cat >> PREVIEW.md << 'EOF4'
## 🎯 Targets
EOF4
for target in $targets; do
target_capitalized="$(echo ${target:0:1} | tr '[:lower:]' '[:upper:]')${target:1}"
echo "- **${target_capitalized}**: ${L} layouts × ${S} styles = $((L*S)) variations" >> PREVIEW.md
done
cat >> PREVIEW.md << 'EOF5'
## 💡 Tips
1. **Comparison**: Use compare.html to see how different styles affect the same layout
2. **Navigation**: Use index.html for quick access to specific prototypes
3. **Selection**: Mark favorites in compare.html using star icons
4. **Export**: Download selection JSON for implementation planning
5. **Inspection**: Open browser DevTools to inspect HTML structure and CSS
6. **Sharing**: All files are standalone - can be shared or deployed directly
## 📝 Next Steps
1. Review prototypes in compare.html
2. Select preferred style × layout combinations
3. Export selections as JSON
4. Provide feedback for refinement
5. Use selected designs for implementation
---
Generated by /workflow:ui-design:generate-v2 (Style-Centric Architecture)
EOF5
echo -e "${GREEN} ✓ Generated PREVIEW.md${NC}"
# ============================================================================
# Completion Summary
# ============================================================================
echo ""
echo -e "${GREEN}✅ Preview generation complete!${NC}"
echo -e " Files created: compare.html, index.html, PREVIEW.md"
echo -e " Matrix: ${S} styles × ${L} layouts × ${T} targets = $((S*L*T)) prototypes"
echo ""
echo -e "${YELLOW}🌐 Next Steps:${NC}"
echo -e " 1. Open compare.html for interactive matrix view"
echo -e " 2. Open index.html for simple navigation"
echo -e " 3. Read PREVIEW.md for detailed usage guide"
echo ""

View File

@@ -1,815 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec ui_instantiate_prototypes '{"designPath":"design-run-1","outputDir":"output"}'
# This file will be removed in a future version.
# UI Prototype Instantiation Script with Preview Generation (v3.0 - Auto-detect)
# Purpose: Generate S × L × P final prototypes from templates + interactive preview files
# Usage:
# Simple: ui-instantiate-prototypes.sh <prototypes_dir>
# Full: ui-instantiate-prototypes.sh <base_path> <pages> <style_variants> <layout_variants> [options]
# Use safer error handling
set -o pipefail
# ============================================================================
# Helper Functions
# ============================================================================
log_info() {
echo "$1"
}
log_success() {
echo "$1"
}
log_error() {
echo "$1"
}
log_warning() {
echo "⚠️ $1"
}
# Auto-detect pages from templates directory
auto_detect_pages() {
local templates_dir="$1/_templates"
if [ ! -d "$templates_dir" ]; then
log_error "Templates directory not found: $templates_dir"
return 1
fi
# Find unique page names from template files (e.g., login-layout-1.html -> login)
local pages=$(find "$templates_dir" -name "*-layout-*.html" -type f | \
sed 's|.*/||' | \
sed 's|-layout-[0-9]*\.html||' | \
sort -u | \
tr '\n' ',' | \
sed 's/,$//')
echo "$pages"
}
# Auto-detect style variants count
auto_detect_style_variants() {
local base_path="$1"
local style_dir="$base_path/../style-extraction"
if [ ! -d "$style_dir" ]; then
log_warning "Style consolidation directory not found: $style_dir"
echo "3" # Default
return
fi
# Count style-* directories
local count=$(find "$style_dir" -maxdepth 1 -type d -name "style-*" | wc -l)
if [ "$count" -eq 0 ]; then
echo "3" # Default
else
echo "$count"
fi
}
# Auto-detect layout variants count
auto_detect_layout_variants() {
local templates_dir="$1/_templates"
if [ ! -d "$templates_dir" ]; then
echo "3" # Default
return
fi
# Find the first page and count its layouts
local first_page=$(find "$templates_dir" -name "*-layout-1.html" -type f | head -1 | sed 's|.*/||' | sed 's|-layout-1\.html||')
if [ -z "$first_page" ]; then
echo "3" # Default
return
fi
# Count layout files for this page
local count=$(find "$templates_dir" -name "${first_page}-layout-*.html" -type f | wc -l)
if [ "$count" -eq 0 ]; then
echo "3" # Default
else
echo "$count"
fi
}
# ============================================================================
# Parse Arguments
# ============================================================================
show_usage() {
cat <<'EOF'
Usage:
Simple (auto-detect): ui-instantiate-prototypes.sh <prototypes_dir> [options]
Full: ui-instantiate-prototypes.sh <base_path> <pages> <style_variants> <layout_variants> [options]
Simple Mode (Recommended):
prototypes_dir Path to prototypes directory (auto-detects everything)
Full Mode:
base_path Base path to prototypes directory
pages Comma-separated list of pages/components
style_variants Number of style variants (1-5)
layout_variants Number of layout variants (1-5)
Options:
--run-id <id> Run ID (default: auto-generated)
--session-id <id> Session ID (default: standalone)
--mode <page|component> Exploration mode (default: page)
--template <path> Path to compare.html template (default: ~/.claude/workflows/_template-compare-matrix.html)
--no-preview Skip preview file generation
--help Show this help message
Examples:
# Simple usage (auto-detect everything)
ui-instantiate-prototypes.sh .workflow/design-run-*/prototypes
# With options
ui-instantiate-prototypes.sh .workflow/design-run-*/prototypes --session-id WFS-auth
# Full manual mode
ui-instantiate-prototypes.sh .workflow/design-run-*/prototypes "login,dashboard" 3 3 --session-id WFS-auth
EOF
}
# Default values
BASE_PATH=""
PAGES=""
STYLE_VARIANTS=""
LAYOUT_VARIANTS=""
RUN_ID="run-$(date +%Y%m%d-%H%M%S)"
SESSION_ID="standalone"
MODE="page"
TEMPLATE_PATH="$HOME/.claude/workflows/_template-compare-matrix.html"
GENERATE_PREVIEW=true
AUTO_DETECT=false
# Parse arguments
if [ $# -lt 1 ]; then
log_error "Missing required arguments"
show_usage
exit 1
fi
# Check if using simple mode (only 1 positional arg before options)
if [ $# -eq 1 ] || [[ "$2" == --* ]]; then
# Simple mode - auto-detect
AUTO_DETECT=true
BASE_PATH="$1"
shift 1
else
# Full mode - manual parameters
if [ $# -lt 4 ]; then
log_error "Full mode requires 4 positional arguments"
show_usage
exit 1
fi
BASE_PATH="$1"
PAGES="$2"
STYLE_VARIANTS="$3"
LAYOUT_VARIANTS="$4"
shift 4
fi
# Parse optional arguments
while [[ $# -gt 0 ]]; do
case $1 in
--run-id)
RUN_ID="$2"
shift 2
;;
--session-id)
SESSION_ID="$2"
shift 2
;;
--mode)
MODE="$2"
shift 2
;;
--template)
TEMPLATE_PATH="$2"
shift 2
;;
--no-preview)
GENERATE_PREVIEW=false
shift
;;
--help)
show_usage
exit 0
;;
*)
log_error "Unknown option: $1"
show_usage
exit 1
;;
esac
done
# ============================================================================
# Auto-detection (if enabled)
# ============================================================================
if [ "$AUTO_DETECT" = true ]; then
log_info "🔍 Auto-detecting configuration from directory..."
# Detect pages
PAGES=$(auto_detect_pages "$BASE_PATH")
if [ -z "$PAGES" ]; then
log_error "Could not auto-detect pages from templates"
exit 1
fi
log_info " Pages: $PAGES"
# Detect style variants
STYLE_VARIANTS=$(auto_detect_style_variants "$BASE_PATH")
log_info " Style variants: $STYLE_VARIANTS"
# Detect layout variants
LAYOUT_VARIANTS=$(auto_detect_layout_variants "$BASE_PATH")
log_info " Layout variants: $LAYOUT_VARIANTS"
echo ""
fi
# ============================================================================
# Validation
# ============================================================================
# Validate base path
if [ ! -d "$BASE_PATH" ]; then
log_error "Base path not found: $BASE_PATH"
exit 1
fi
# Validate style and layout variants
if [ "$STYLE_VARIANTS" -lt 1 ] || [ "$STYLE_VARIANTS" -gt 5 ]; then
log_error "Style variants must be between 1 and 5 (got: $STYLE_VARIANTS)"
exit 1
fi
if [ "$LAYOUT_VARIANTS" -lt 1 ] || [ "$LAYOUT_VARIANTS" -gt 5 ]; then
log_error "Layout variants must be between 1 and 5 (got: $LAYOUT_VARIANTS)"
exit 1
fi
# Validate STYLE_VARIANTS against actual style directories
if [ "$STYLE_VARIANTS" -gt 0 ]; then
style_dir="$BASE_PATH/../style-extraction"
if [ ! -d "$style_dir" ]; then
log_error "Style consolidation directory not found: $style_dir"
log_info "Run /workflow:ui-design:consolidate first"
exit 1
fi
actual_styles=$(find "$style_dir" -maxdepth 1 -type d -name "style-*" 2>/dev/null | wc -l)
if [ "$actual_styles" -eq 0 ]; then
log_error "No style directories found in: $style_dir"
log_info "Run /workflow:ui-design:consolidate first to generate style design systems"
exit 1
fi
if [ "$STYLE_VARIANTS" -gt "$actual_styles" ]; then
log_warning "Requested $STYLE_VARIANTS style variants, but only found $actual_styles directories"
log_info "Available style directories:"
find "$style_dir" -maxdepth 1 -type d -name "style-*" 2>/dev/null | sed 's|.*/||' | sort
log_info "Auto-correcting to $actual_styles style variants"
STYLE_VARIANTS=$actual_styles
fi
fi
# Parse pages into array
IFS=',' read -ra PAGE_ARRAY <<< "$PAGES"
if [ ${#PAGE_ARRAY[@]} -eq 0 ]; then
log_error "No pages found"
exit 1
fi
# ============================================================================
# Header Output
# ============================================================================
echo "========================================="
echo "UI Prototype Instantiation & Preview"
if [ "$AUTO_DETECT" = true ]; then
echo "(Auto-detected configuration)"
fi
echo "========================================="
echo "Base Path: $BASE_PATH"
echo "Mode: $MODE"
echo "Pages/Components: $PAGES"
echo "Style Variants: $STYLE_VARIANTS"
echo "Layout Variants: $LAYOUT_VARIANTS"
echo "Run ID: $RUN_ID"
echo "Session ID: $SESSION_ID"
echo "========================================="
echo ""
# Change to base path
cd "$BASE_PATH" || exit 1
# ============================================================================
# Phase 1: Instantiate Prototypes
# ============================================================================
log_info "🚀 Phase 1: Instantiating prototypes from templates..."
echo ""
total_generated=0
total_failed=0
for page in "${PAGE_ARRAY[@]}"; do
# Trim whitespace
page=$(echo "$page" | xargs)
log_info "Processing page/component: $page"
for s in $(seq 1 "$STYLE_VARIANTS"); do
for l in $(seq 1 "$LAYOUT_VARIANTS"); do
# Define file paths
TEMPLATE_HTML="_templates/${page}-layout-${l}.html"
STRUCTURAL_CSS="_templates/${page}-layout-${l}.css"
TOKEN_CSS="../style-extraction/style-${s}/tokens.css"
OUTPUT_HTML="${page}-style-${s}-layout-${l}.html"
# Copy template and replace placeholders
if [ -f "$TEMPLATE_HTML" ]; then
cp "$TEMPLATE_HTML" "$OUTPUT_HTML" || {
log_error "Failed to copy template: $TEMPLATE_HTML"
((total_failed++))
continue
}
# Replace CSS placeholders (Windows-compatible sed syntax)
sed -i "s|{{STRUCTURAL_CSS}}|${STRUCTURAL_CSS}|g" "$OUTPUT_HTML" || true
sed -i "s|{{TOKEN_CSS}}|${TOKEN_CSS}|g" "$OUTPUT_HTML" || true
log_success "Created: $OUTPUT_HTML"
((total_generated++))
# Create implementation notes (simplified)
NOTES_FILE="${page}-style-${s}-layout-${l}-notes.md"
# Generate notes with simple heredoc
cat > "$NOTES_FILE" <<NOTESEOF
# Implementation Notes: ${page}-style-${s}-layout-${l}
## Generation Details
- **Template**: ${TEMPLATE_HTML}
- **Structural CSS**: ${STRUCTURAL_CSS}
- **Style Tokens**: ${TOKEN_CSS}
- **Layout Strategy**: Layout ${l}
- **Style Variant**: Style ${s}
- **Mode**: ${MODE}
## Template Reuse
This prototype was generated from a shared layout template to ensure consistency
across all style variants. The HTML structure is identical for all ${page}-layout-${l}
prototypes, with only the design tokens (colors, fonts, spacing) varying.
## Design System Reference
Refer to \`../style-extraction/style-${s}/style-guide.md\` for:
- Design philosophy
- Token usage guidelines
- Component patterns
- Accessibility requirements
## Customization
To modify this prototype:
1. Edit the layout template: \`${TEMPLATE_HTML}\` (affects all styles)
2. Edit the structural CSS: \`${STRUCTURAL_CSS}\` (affects all styles)
3. Edit design tokens: \`${TOKEN_CSS}\` (affects only this style variant)
## Run Information
- **Run ID**: ${RUN_ID}
- **Session ID**: ${SESSION_ID}
- **Generated**: $(date -u +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u +%Y-%m-%d)
NOTESEOF
else
log_error "Template not found: $TEMPLATE_HTML"
((total_failed++))
fi
done
done
done
echo ""
log_success "Phase 1 complete: Generated ${total_generated} prototypes"
if [ $total_failed -gt 0 ]; then
log_warning "Failed: ${total_failed} prototypes"
fi
echo ""
# ============================================================================
# Phase 2: Generate Preview Files (if enabled)
# ============================================================================
if [ "$GENERATE_PREVIEW" = false ]; then
log_info "⏭️ Skipping preview generation (--no-preview flag)"
exit 0
fi
log_info "🎨 Phase 2: Generating preview files..."
echo ""
# ============================================================================
# 2a. Generate compare.html from template
# ============================================================================
if [ ! -f "$TEMPLATE_PATH" ]; then
log_warning "Template not found: $TEMPLATE_PATH"
log_info " Skipping compare.html generation"
else
log_info "📄 Generating compare.html from template..."
# Convert page array to JSON format
PAGES_JSON="["
for i in "${!PAGE_ARRAY[@]}"; do
page=$(echo "${PAGE_ARRAY[$i]}" | xargs)
PAGES_JSON+="\"$page\""
if [ $i -lt $((${#PAGE_ARRAY[@]} - 1)) ]; then
PAGES_JSON+=", "
fi
done
PAGES_JSON+="]"
TIMESTAMP=$(date -u +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u +%Y-%m-%d)
# Read template and replace placeholders
cat "$TEMPLATE_PATH" | \
sed "s|{{run_id}}|${RUN_ID}|g" | \
sed "s|{{session_id}}|${SESSION_ID}|g" | \
sed "s|{{timestamp}}|${TIMESTAMP}|g" | \
sed "s|{{style_variants}}|${STYLE_VARIANTS}|g" | \
sed "s|{{layout_variants}}|${LAYOUT_VARIANTS}|g" | \
sed "s|{{pages_json}}|${PAGES_JSON}|g" \
> compare.html
log_success "Generated: compare.html"
fi
# ============================================================================
# 2b. Generate index.html
# ============================================================================
log_info "📄 Generating index.html..."
# Calculate total prototypes
TOTAL_PROTOTYPES=$((STYLE_VARIANTS * LAYOUT_VARIANTS * ${#PAGE_ARRAY[@]}))
# Generate index.html with simple heredoc
cat > index.html <<'INDEXEOF'
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>UI Prototypes - __MODE__ Mode - __RUN_ID__</title>
<style>
body {
font-family: system-ui, -apple-system, sans-serif;
max-width: 900px;
margin: 2rem auto;
padding: 0 2rem;
background: #f9fafb;
}
.header {
background: white;
padding: 2rem;
border-radius: 0.75rem;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
margin-bottom: 2rem;
}
h1 {
color: #2563eb;
margin-bottom: 0.5rem;
font-size: 2rem;
}
.meta {
color: #6b7280;
font-size: 0.875rem;
margin-top: 0.5rem;
}
.info {
background: #f3f4f6;
padding: 1.5rem;
border-radius: 0.5rem;
margin: 1.5rem 0;
border-left: 4px solid #2563eb;
}
.cta {
display: inline-block;
background: #2563eb;
color: white;
padding: 1rem 2rem;
border-radius: 0.5rem;
text-decoration: none;
font-weight: 600;
margin: 1rem 0;
transition: background 0.2s;
}
.cta:hover {
background: #1d4ed8;
}
.stats {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 1rem;
margin: 1.5rem 0;
}
.stat {
background: white;
border: 1px solid #e5e7eb;
padding: 1.5rem;
border-radius: 0.5rem;
text-align: center;
box-shadow: 0 1px 2px rgba(0,0,0,0.05);
}
.stat-value {
font-size: 2.5rem;
font-weight: bold;
color: #2563eb;
margin-bottom: 0.25rem;
}
.stat-label {
color: #6b7280;
font-size: 0.875rem;
}
.section {
background: white;
padding: 2rem;
border-radius: 0.75rem;
margin-bottom: 2rem;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
}
h2 {
color: #1f2937;
margin-bottom: 1rem;
font-size: 1.5rem;
}
ul {
line-height: 1.8;
color: #374151;
}
.pages-list {
list-style: none;
padding: 0;
}
.pages-list li {
background: #f9fafb;
padding: 0.75rem 1rem;
margin: 0.5rem 0;
border-radius: 0.375rem;
border-left: 3px solid #2563eb;
}
.badge {
display: inline-block;
background: #dbeafe;
color: #1e40af;
padding: 0.25rem 0.75rem;
border-radius: 0.25rem;
font-size: 0.75rem;
font-weight: 600;
margin-left: 0.5rem;
}
</style>
</head>
<body>
<div class="header">
<h1>🎨 UI Prototype __MODE__ Mode</h1>
<div class="meta">
<strong>Run ID:</strong> __RUN_ID__ |
<strong>Session:</strong> __SESSION_ID__ |
<strong>Generated:</strong> __TIMESTAMP__
</div>
</div>
<div class="info">
<p><strong>Matrix Configuration:</strong> __STYLE_VARIANTS__ styles × __LAYOUT_VARIANTS__ layouts × __PAGE_COUNT__ __MODE__s</p>
<p><strong>Total Prototypes:</strong> __TOTAL_PROTOTYPES__ interactive HTML files</p>
</div>
<a href="compare.html" class="cta">🔍 Open Interactive Matrix Comparison →</a>
<div class="stats">
<div class="stat">
<div class="stat-value">__STYLE_VARIANTS__</div>
<div class="stat-label">Style Variants</div>
</div>
<div class="stat">
<div class="stat-value">__LAYOUT_VARIANTS__</div>
<div class="stat-label">Layout Options</div>
</div>
<div class="stat">
<div class="stat-value">__PAGE_COUNT__</div>
<div class="stat-label">__MODE__s</div>
</div>
<div class="stat">
<div class="stat-value">__TOTAL_PROTOTYPES__</div>
<div class="stat-label">Total Prototypes</div>
</div>
</div>
<div class="section">
<h2>🌟 Features</h2>
<ul>
<li><strong>Interactive Matrix View:</strong> __STYLE_VARIANTS__×__LAYOUT_VARIANTS__ grid with synchronized scrolling</li>
<li><strong>Flexible Zoom:</strong> 25%, 50%, 75%, 100% viewport scaling</li>
<li><strong>Fullscreen Mode:</strong> Detailed view for individual prototypes</li>
<li><strong>Selection System:</strong> Mark favorites with export to JSON</li>
<li><strong>__MODE__ Switcher:</strong> Compare different __MODE__s side-by-side</li>
<li><strong>Persistent State:</strong> Selections saved in localStorage</li>
</ul>
</div>
<div class="section">
<h2>📄 Generated __MODE__s</h2>
<ul class="pages-list">
__PAGES_LIST__
</ul>
</div>
<div class="section">
<h2>📚 Next Steps</h2>
<ol>
<li>Open <code>compare.html</code> to explore all variants in matrix view</li>
<li>Use zoom and sync scroll controls to compare details</li>
<li>Select your preferred style×layout combinations</li>
<li>Export selections as JSON for implementation planning</li>
<li>Review implementation notes in <code>*-notes.md</code> files</li>
</ol>
</div>
</body>
</html>
INDEXEOF
# Build pages list HTML
PAGES_LIST_HTML=""
for page in "${PAGE_ARRAY[@]}"; do
page=$(echo "$page" | xargs)
VARIANT_COUNT=$((STYLE_VARIANTS * LAYOUT_VARIANTS))
PAGES_LIST_HTML+=" <li>\n"
PAGES_LIST_HTML+=" <strong>${page}</strong>\n"
PAGES_LIST_HTML+=" <span class=\"badge\">${STYLE_VARIANTS}×${LAYOUT_VARIANTS} = ${VARIANT_COUNT} variants</span>\n"
PAGES_LIST_HTML+=" </li>\n"
done
# Replace all placeholders in index.html
MODE_UPPER=$(echo "$MODE" | awk '{print toupper(substr($0,1,1)) tolower(substr($0,2))}')
sed -i "s|__RUN_ID__|${RUN_ID}|g" index.html
sed -i "s|__SESSION_ID__|${SESSION_ID}|g" index.html
sed -i "s|__TIMESTAMP__|${TIMESTAMP}|g" index.html
sed -i "s|__MODE__|${MODE_UPPER}|g" index.html
sed -i "s|__STYLE_VARIANTS__|${STYLE_VARIANTS}|g" index.html
sed -i "s|__LAYOUT_VARIANTS__|${LAYOUT_VARIANTS}|g" index.html
sed -i "s|__PAGE_COUNT__|${#PAGE_ARRAY[@]}|g" index.html
sed -i "s|__TOTAL_PROTOTYPES__|${TOTAL_PROTOTYPES}|g" index.html
sed -i "s|__PAGES_LIST__|${PAGES_LIST_HTML}|g" index.html
log_success "Generated: index.html"
# ============================================================================
# 2c. Generate PREVIEW.md
# ============================================================================
log_info "📄 Generating PREVIEW.md..."
cat > PREVIEW.md <<PREVIEWEOF
# UI Prototype Preview Guide
## Quick Start
1. Open \`index.html\` for overview and navigation
2. Open \`compare.html\` for interactive matrix comparison
3. Use browser developer tools to inspect responsive behavior
## Configuration
- **Exploration Mode:** ${MODE_UPPER}
- **Run ID:** ${RUN_ID}
- **Session ID:** ${SESSION_ID}
- **Style Variants:** ${STYLE_VARIANTS}
- **Layout Options:** ${LAYOUT_VARIANTS}
- **${MODE_UPPER}s:** ${PAGES}
- **Total Prototypes:** ${TOTAL_PROTOTYPES}
- **Generated:** ${TIMESTAMP}
## File Naming Convention
\`\`\`
{${MODE}}-style-{s}-layout-{l}.html
\`\`\`
**Example:** \`dashboard-style-1-layout-2.html\`
- ${MODE_UPPER}: dashboard
- Style: Design system 1
- Layout: Layout variant 2
## Interactive Features (compare.html)
### Matrix View
- **Grid Layout:** ${STYLE_VARIANTS}×${LAYOUT_VARIANTS} table with all prototypes visible
- **Synchronized Scroll:** All iframes scroll together (toggle with button)
- **Zoom Controls:** Adjust viewport scale (25%, 50%, 75%, 100%)
- **${MODE_UPPER} Selector:** Switch between different ${MODE}s instantly
### Prototype Actions
- **⭐ Selection:** Click star icon to mark favorites
- **⛶ Fullscreen:** View prototype in fullscreen overlay
- **↗ New Tab:** Open prototype in dedicated browser tab
### Selection Export
1. Select preferred prototypes using star icons
2. Click "Export Selection" button
3. Downloads JSON file: \`selection-${RUN_ID}.json\`
4. Use exported file for implementation planning
## Design System References
Each prototype references a specific style design system:
PREVIEWEOF
# Add style references
for s in $(seq 1 "$STYLE_VARIANTS"); do
cat >> PREVIEW.md <<STYLEEOF
### Style ${s}
- **Tokens:** \`../style-extraction/style-${s}/design-tokens.json\`
- **CSS Variables:** \`../style-extraction/style-${s}/tokens.css\`
- **Style Guide:** \`../style-extraction/style-${s}/style-guide.md\`
STYLEEOF
done
cat >> PREVIEW.md <<'FOOTEREOF'
## Responsive Testing
All prototypes are mobile-first responsive. Test at these breakpoints:
- **Mobile:** 375px - 767px
- **Tablet:** 768px - 1023px
- **Desktop:** 1024px+
Use browser DevTools responsive mode for testing.
## Accessibility Features
- Semantic HTML5 structure
- ARIA attributes for screen readers
- Keyboard navigation support
- Proper heading hierarchy
- Focus indicators
## Next Steps
1. **Review:** Open `compare.html` and explore all variants
2. **Select:** Mark preferred prototypes using star icons
3. **Export:** Download selection JSON for implementation
4. **Implement:** Use `/workflow:ui-design:update` to integrate selected designs
5. **Plan:** Run `/workflow:plan` to generate implementation tasks
---
**Generated by:** `ui-instantiate-prototypes.sh`
**Version:** 3.0 (auto-detect mode)
FOOTEREOF
log_success "Generated: PREVIEW.md"
# ============================================================================
# Completion Summary
# ============================================================================
echo ""
echo "========================================="
echo "✅ Generation Complete!"
echo "========================================="
echo ""
echo "📊 Summary:"
echo " Prototypes: ${total_generated} generated"
if [ $total_failed -gt 0 ]; then
echo " Failed: ${total_failed}"
fi
echo " Preview Files: compare.html, index.html, PREVIEW.md"
echo " Matrix: ${STYLE_VARIANTS}×${LAYOUT_VARIANTS} (${#PAGE_ARRAY[@]} ${MODE}s)"
echo " Total Files: ${TOTAL_PROTOTYPES} prototypes + preview files"
echo ""
echo "🌐 Next Steps:"
echo " 1. Open: ${BASE_PATH}/index.html"
echo " 2. Explore: ${BASE_PATH}/compare.html"
echo " 3. Review: ${BASE_PATH}/PREVIEW.md"
echo ""
echo "Performance: Template-based approach with ${STYLE_VARIANTS}× speedup"
echo "========================================="

View File

@@ -1,337 +0,0 @@
#!/bin/bash
# ⚠️ DEPRECATED: This script is deprecated.
# Please use: ccw tool exec update_module_claude '{"strategy":"single-layer","path":".","tool":"gemini"}'
# This file will be removed in a future version.
# Update CLAUDE.md for modules with two strategies
# Usage: update_module_claude.sh <strategy> <module_path> [tool] [model]
# strategy: single-layer|multi-layer
# module_path: Path to the module directory
# tool: gemini|qwen|codex (default: gemini)
# model: Model name (optional, uses tool defaults)
#
# Default Models:
# gemini: gemini-2.5-flash
# qwen: coder-model
# codex: gpt5-codex
#
# Strategies:
# single-layer: Upward aggregation
# - Read: Current directory code + child CLAUDE.md files
# - Generate: Single ./CLAUDE.md in current directory
# - Use: Large projects, incremental bottom-up updates
#
# multi-layer: Downward distribution
# - Read: All files in current and subdirectories
# - Generate: CLAUDE.md for each directory containing files
# - Use: Small projects, full documentation generation
#
# Features:
# - Minimal prompts based on unified template
# - Respects .gitignore patterns
# - Path-focused processing (script only cares about paths)
# - Template-driven generation
# 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"
}
# Scan directory structure and generate structured information
scan_directory_structure() {
local target_path="$1"
local strategy="$2"
if [ ! -d "$target_path" ]; then
echo "Directory not found: $target_path"
return 1
fi
local exclusion_filters=$(build_exclusion_filters)
local structure_info=""
# Get basic directory info
local dir_name=$(basename "$target_path")
local total_files=$(eval "find \"$target_path\" -type f $exclusion_filters 2>/dev/null" | wc -l)
local total_dirs=$(eval "find \"$target_path\" -type d $exclusion_filters 2>/dev/null" | wc -l)
structure_info+="Directory: $dir_name\n"
structure_info+="Total files: $total_files\n"
structure_info+="Total directories: $total_dirs\n\n"
if [ "$strategy" = "multi-layer" ]; then
# For multi-layer: show all subdirectories with file counts
structure_info+="Subdirectories with files:\n"
while IFS= read -r dir; do
if [ -n "$dir" ] && [ "$dir" != "$target_path" ]; then
local rel_path=${dir#$target_path/}
local file_count=$(eval "find \"$dir\" -maxdepth 1 -type f $exclusion_filters 2>/dev/null" | wc -l)
if [ $file_count -gt 0 ]; then
structure_info+=" - $rel_path/ ($file_count files)\n"
fi
fi
done < <(eval "find \"$target_path\" -type d $exclusion_filters 2>/dev/null")
else
# For single-layer: show direct children only
structure_info+="Direct subdirectories:\n"
while IFS= read -r dir; do
if [ -n "$dir" ]; then
local dir_name=$(basename "$dir")
local file_count=$(eval "find \"$dir\" -maxdepth 1 -type f $exclusion_filters 2>/dev/null" | wc -l)
local has_claude=$([ -f "$dir/CLAUDE.md" ] && echo " [has CLAUDE.md]" || echo "")
structure_info+=" - $dir_name/ ($file_count files)$has_claude\n"
fi
done < <(eval "find \"$target_path\" -maxdepth 1 -type d $exclusion_filters 2>/dev/null" | grep -v "^$target_path$")
fi
# Show main file types in current directory
structure_info+="\nCurrent directory files:\n"
local code_files=$(eval "find \"$target_path\" -maxdepth 1 -type f \\( -name '*.ts' -o -name '*.tsx' -o -name '*.js' -o -name '*.jsx' -o -name '*.py' -o -name '*.sh' \\) $exclusion_filters 2>/dev/null" | wc -l)
local config_files=$(eval "find \"$target_path\" -maxdepth 1 -type f \\( -name '*.json' -o -name '*.yaml' -o -name '*.yml' -o -name '*.toml' \\) $exclusion_filters 2>/dev/null" | wc -l)
local doc_files=$(eval "find \"$target_path\" -maxdepth 1 -type f -name '*.md' $exclusion_filters 2>/dev/null" | wc -l)
structure_info+=" - Code files: $code_files\n"
structure_info+=" - Config files: $config_files\n"
structure_info+=" - Documentation: $doc_files\n"
printf "%b" "$structure_info"
}
update_module_claude() {
local strategy="$1"
local module_path="$2"
local tool="${3:-gemini}"
local model="$4"
# Validate parameters
if [ -z "$strategy" ] || [ -z "$module_path" ]; then
echo "❌ Error: Strategy and module path are required"
echo "Usage: update_module_claude.sh <strategy> <module_path> [tool] [model]"
echo "Strategies: single-layer|multi-layer"
return 1
fi
# Validate strategy
if [ "$strategy" != "single-layer" ] && [ "$strategy" != "multi-layer" ]; then
echo "❌ Error: Invalid strategy '$strategy'"
echo "Valid strategies: single-layer, multi-layer"
return 1
fi
if [ ! -d "$module_path" ]; then
echo "❌ Error: Directory '$module_path' does not exist"
return 1
fi
# Set default models if not specified
if [ -z "$model" ]; then
case "$tool" in
gemini)
model="gemini-2.5-flash"
;;
qwen)
model="coder-model"
;;
codex)
model="gpt5-codex"
;;
*)
model=""
;;
esac
fi
# Build exclusion filters from .gitignore
local exclusion_filters=$(build_exclusion_filters)
# Check if directory has files (excluding gitignored paths)
local file_count=$(eval "find \"$module_path\" -maxdepth 1 -type f $exclusion_filters 2>/dev/null" | wc -l)
if [ $file_count -eq 0 ]; then
echo "⚠️ Skipping '$module_path' - no files found (after .gitignore filtering)"
return 0
fi
# Use unified template for all modules
local template_path="$HOME/.claude/workflows/cli-templates/prompts/memory/02-document-module-structure.txt"
# Read template content directly
local template_content=""
if [ -f "$template_path" ]; then
template_content=$(cat "$template_path")
echo " 📋 Loaded template: $(wc -l < "$template_path") lines"
else
echo " ⚠️ Template not found: $template_path"
echo " Using fallback template..."
template_content="Create comprehensive CLAUDE.md documentation following standard structure with Purpose, Structure, Components, Dependencies, Integration, and Implementation sections."
fi
# Scan directory structure first
echo " 🔍 Scanning directory structure..."
local structure_info=$(scan_directory_structure "$module_path" "$strategy")
# Prepare logging info
local module_name=$(basename "$module_path")
echo "⚡ Updating: $module_path"
echo " Strategy: $strategy | Tool: $tool | Model: $model | Files: $file_count"
echo " Template: $(basename "$template_path") ($(echo "$template_content" | wc -l) lines)"
echo " Structure: Scanned $(echo "$structure_info" | wc -l) lines of structure info"
# Build minimal strategy-specific prompt with explicit paths and structure info
local final_prompt=""
if [ "$strategy" = "multi-layer" ]; then
# multi-layer strategy: read all, generate for each directory
final_prompt="Directory Structure Analysis:
$structure_info
Read: @**/*
Generate CLAUDE.md files:
- Primary: ./CLAUDE.md (current directory)
- Additional: CLAUDE.md in each subdirectory containing files
Template Guidelines:
$template_content
Instructions:
- Work bottom-up: deepest directories first
- Parent directories reference children
- Each CLAUDE.md file must be in its respective directory
- Follow the template guidelines above for consistent structure
- Use the structure analysis to understand directory hierarchy"
else
# single-layer strategy: read current + child CLAUDE.md, generate current only
final_prompt="Directory Structure Analysis:
$structure_info
Read: @*/CLAUDE.md @*.ts @*.tsx @*.js @*.jsx @*.py @*.sh @*.md @*.json @*.yaml @*.yml
Generate single file: ./CLAUDE.md
Template Guidelines:
$template_content
Instructions:
- Create exactly one CLAUDE.md file in the current directory
- Reference child CLAUDE.md files, do not duplicate their content
- Follow the template guidelines above for consistent structure
- Use the structure analysis to understand the current directory context"
fi
# Execute update
local start_time=$(date +%s)
echo " 🔄 Starting update..."
if cd "$module_path" 2>/dev/null; then
local tool_result=0
# Execute with selected tool
# NOTE: Model parameter (-m) is placed AFTER the prompt
case "$tool" in
qwen)
if [ "$model" = "coder-model" ]; then
# coder-model is default, -m is optional
qwen -p "$final_prompt" --yolo 2>&1
else
qwen -p "$final_prompt" -m "$model" --yolo 2>&1
fi
tool_result=$?
;;
codex)
codex --full-auto exec "$final_prompt" -m "$model" --skip-git-repo-check -s danger-full-access 2>&1
tool_result=$?
;;
gemini)
gemini -p "$final_prompt" -m "$model" --yolo 2>&1
tool_result=$?
;;
*)
echo " ⚠️ Unknown tool: $tool, defaulting to gemini"
gemini -p "$final_prompt" -m "$model" --yolo 2>&1
tool_result=$?
;;
esac
if [ $tool_result -eq 0 ]; then
local end_time=$(date +%s)
local duration=$((end_time - start_time))
echo " ✅ Completed in ${duration}s"
cd - > /dev/null
return 0
else
echo " ❌ Update failed for $module_path"
cd - > /dev/null
return 1
fi
else
echo " ❌ Cannot access directory: $module_path"
return 1
fi
}
# Execute function if script is run directly
if [[ "${BASH_SOURCE[0]}" == "${0}" ]]; then
# Show help if no arguments or help requested
if [ $# -eq 0 ] || [ "$1" = "-h" ] || [ "$1" = "--help" ]; then
echo "Usage: update_module_claude.sh <strategy> <module_path> [tool] [model]"
echo ""
echo "Strategies:"
echo " single-layer - Read current dir code + child CLAUDE.md, generate ./CLAUDE.md"
echo " multi-layer - Read all files, generate CLAUDE.md for each directory"
echo ""
echo "Tools: gemini (default), qwen, codex"
echo "Models: Use tool defaults if not specified"
echo ""
echo "Examples:"
echo " ./update_module_claude.sh single-layer ./src/auth"
echo " ./update_module_claude.sh multi-layer ./components gemini gemini-2.5-flash"
exit 0
fi
update_module_claude "$@"
fi

View File

@@ -0,0 +1,693 @@
# Skill 设计规范 v1.0
> 基于 `software-manual` 和 `copyright-docs` 两个成熟 Skill 的设计模式提炼
---
## 目录
1. [设计理念](#1-设计理念)
2. [目录结构规范](#2-目录结构规范)
3. [核心组件定义](#3-核心组件定义)
4. [SKILL.md 入口规范](#4-skillmd-入口规范)
5. [Phase 阶段设计规范](#5-phase-阶段设计规范)
6. [Specs 规范文件设计](#6-specs-规范文件设计)
7. [Templates 模板设计](#7-templates-模板设计)
8. [Scripts 脚本规范](#8-scripts-脚本规范)
9. [Prompt 工程规范](#9-prompt-工程规范)
10. [质量控制规范](#10-质量控制规范)
11. [最佳实践清单](#11-最佳实践清单)
12. [示例模板](#12-示例模板)
---
## 1. 设计理念
### 1.1 核心原则
| 原则 | 说明 | 实践 |
|------|------|------|
| **阶段化执行** | 复杂任务分解为有序阶段 | 使用 `phases/` 目录,数字前缀控制顺序 |
| **关注点分离** | 逻辑、配置、视图分离 | `phases/`(逻辑) + `specs/`(配置) + `templates/`(视图) |
| **简要返回** | Agent 返回路径+摘要,避免上下文溢出 | 返回 JSON 简要信息,文件存储完整内容 |
| **配置驱动** | 规范作为"配置文件",易于调整行为 | 修改 `specs/` 无需触及 `phases/` |
| **模板复用** | 提取通用片段,确保一致性 | `templates/` 存放可复用内容 |
### 1.2 架构模式
```
┌─────────────────────────────────────────────────────────────────┐
│ Context-Optimized Architecture │
├─────────────────────────────────────────────────────────────────┤
│ │
│ SKILL.md (入口) → 描述目标、定义阶段、链接资源 │
│ ↓ │
│ Phase 1: 收集 → 用户输入 + 自动检测 → config.json │
│ ↓ │
│ Phase 2: 分析 → 并行 Agent → sections/*.md │
│ ↓ │
│ Phase N: 汇总 → 交叉检查 → summary.md │
│ ↓ │
│ Phase N+1: 组装 → 合并文件 → 最终产物 │
│ ↓ │
│ Phase N+2: 迭代 → 用户反馈 → 优化 │
│ │
└─────────────────────────────────────────────────────────────────┘
```
---
## 2. 目录结构规范
### 2.1 标准目录结构
```
[skill-name]/
├── SKILL.md # 【必需】技能入口:元数据 + 架构 + 执行流程
├── phases/ # 【必需】执行阶段 Prompt
│ ├── 01-{first-step}.md # 数字前缀定义顺序
│ ├── 02-{second-step}.md
│ ├── 02.5-{sub-step}.md # 小数点用于插入子步骤
│ └── ...
├── specs/ # 【必需】规范与约束
│ ├── {domain}-requirements.md # 领域特定要求
│ ├── quality-standards.md # 质量标准
│ └── writing-style.md # 写作风格(如适用)
├── templates/ # 【推荐】可复用模板
│ ├── agent-base.md # Agent 基础 Prompt 模板
│ ├── output-shell.{ext} # 输出外壳模板html/md
│ └── css/ # 样式文件(如适用)
├── scripts/ # 【可选】辅助脚本
│ ├── {tool}.py # Python 脚本
│ └── {tool}-runner.md # 脚本使用说明
└── outputs/ # 【运行时】执行产物(不纳入版本控制)
```
### 2.2 命名约定
| 类型 | 规则 | 示例 |
|------|------|------|
| Skill 目录 | 小写-连字符 | `software-manual`, `copyright-docs` |
| Phase 文件 | `NN-{动作}.md` | `01-metadata-collection.md` |
| Spec 文件 | `{领域}-{类型}.md` | `cpcc-requirements.md` |
| Template 文件 | `{用途}-{类型}.{ext}` | `agent-base.md`, `tiddlywiki-shell.html` |
| 输出文件 | `section-{N}-{名称}.md` | `section-2-architecture.md` |
---
## 3. 核心组件定义
### 3.1 组件职责矩阵
| 组件 | 职责 | 内容类型 | 修改频率 |
|------|------|----------|----------|
| `SKILL.md` | 入口 + 编排 | 元数据、架构图、执行流程 | 低(结构稳定) |
| `phases/*.md` | 执行逻辑 | 步骤说明、Prompt、代码示例 | 中(优化迭代) |
| `specs/*.md` | 约束配置 | 规则、标准、检查清单 | 中(需求变更) |
| `templates/*` | 可复用片段 | Prompt 模板、输出格式 | 低(通用稳定) |
| `scripts/*` | 自动化 | Python/JS 脚本 | 高(功能增强) |
### 3.2 组件依赖关系
```mermaid
graph TD
SKILL[SKILL.md] --> P1[phases/01-*]
P1 --> P2[phases/02-*]
P2 --> PN[phases/N-*]
P1 -.->|引用| SPEC[specs/*]
P2 -.->|引用| SPEC
PN -.->|引用| SPEC
P1 -.->|使用| TPL[templates/*]
PN -.->|使用| TPL
P2 -->|调用| SCR[scripts/*]
style SKILL fill:#e1f5fe
style SPEC fill:#fff3e0
style TPL fill:#e8f5e9
style SCR fill:#fce4ec
```
---
## 4. SKILL.md 入口规范
### 4.1 必需结构
```markdown
---
name: {skill-name}
description: {一句话描述}. {触发关键词}. Triggers on "{关键词1}", "{关键词2}".
allowed-tools: Task, AskUserQuestion, Read, Bash, Glob, Grep, Write, {其他MCP工具}
---
# {Skill 标题}
{一段话描述 Skill 的用途和产出}
## Architecture Overview
{ASCII 或 Mermaid 架构图}
## Key Design Principles
1. **原则1**: 说明
2. **原则2**: 说明
...
## Execution Flow
{阶段执行流程图}
## Agent Configuration (如适用)
| Agent | Role | Output File | Focus Areas |
|-------|------|-------------|-------------|
| ... | ... | ... | ... |
## Directory Setup
{工作目录创建代码}
## Output Structure
{输出目录结构}
## Reference Documents
| Document | Purpose |
|----------|---------|
| [phases/01-xxx.md](phases/01-xxx.md) | ... |
| ... | ... |
```
### 4.2 Front Matter 规范
```yaml
---
name: skill-name # 必需Skill 唯一标识
description: | # 必需:描述 + 触发词
Generate XXX documents.
Triggers on "keyword1", "keyword2".
allowed-tools: | # 必需:允许使用的工具
Task, AskUserQuestion, Read, Bash,
Glob, Grep, Write, mcp__chrome__*
---
```
---
## 5. Phase 阶段设计规范
### 5.1 Phase 文件结构
```markdown
# Phase N: {阶段名称}
{一句话描述此阶段目标}
## Objective
{详细目标说明}
- 目标1
- 目标2
## Execution Steps
### Step 1: {步骤名称}
{代码或说明}
### Step 2: {步骤名称}
{代码或说明}
## Output
- **File**: `{输出文件名}`
- **Location**: `{输出路径}`
- **Format**: {JSON/Markdown/HTML}
## Next Phase
Proceed to [Phase N+1: xxx](0N+1-xxx.md) with the generated {产出}.
```
### 5.2 Phase 类型
| 类型 | 特点 | 示例 |
|------|------|------|
| **收集型** | 用户交互 + 自动检测 | `01-requirements-discovery.md` |
| **探索型** | 代码分析 + 结构识别 | `02-project-exploration.md` |
| **并行型** | 多 Agent 并行执行 | `03-parallel-analysis.md` |
| **汇总型** | 交叉检查 + 质量验证 | `03.5-consolidation.md` |
| **组装型** | 合并产出 + 格式化 | `04-document-assembly.md` |
| **迭代型** | 用户反馈 + 优化 | `05-iterative-refinement.md` |
### 5.3 Phase 编号规则
```
01-xxx.md # 主阶段
02-xxx.md # 主阶段
02.5-xxx.md # 子阶段(插入 02 和 03 之间)
03-xxx.md # 主阶段
```
---
## 6. Specs 规范文件设计
### 6.1 Specs 类型
| 类型 | 用途 | 示例 |
|------|------|------|
| **领域要求** | 领域特定合规性 | `cpcc-requirements.md` |
| **质量标准** | 输出质量评估 | `quality-standards.md` |
| **写作风格** | 内容风格指南 | `writing-style.md` |
| **模板规范** | 输出格式定义 | `html-template.md` |
### 6.2 Specs 结构模板
```markdown
# {规范名称}
{规范用途说明}
## When to Use
| Phase | Usage | Section |
|-------|-------|---------|
| Phase N | {使用场景} | {引用章节} |
| ... | ... | ... |
---
## Requirements
### Category 1
- [ ] 检查项1
- [ ] 检查项2
### Category 2
| 项目 | 要求 | 检查方式 |
|------|------|----------|
| ... | ... | ... |
## Validation Function
{验证函数代码}
## Error Handling
| Error | Recovery |
|-------|----------|
| ... | ... |
```
### 6.3 质量标准示例结构
```markdown
# Quality Standards
## Quality Dimensions
### 1. Completeness (25%)
{评分标准}
### 2. Consistency (25%)
{评分标准}
### 3. Depth (25%)
{评分标准}
### 4. Readability (25%)
{评分标准}
## Quality Gates
| Gate | Threshold | Action |
|------|-----------|--------|
| Pass | ≥ 80% | 继续执行 |
| Review | 60-79% | 处理警告后继续 |
| Fail | < 60% | 必须修复 |
## Issue Classification
### Errors (Must Fix)
- ...
### Warnings (Should Fix)
- ...
### Info (Nice to Have)
- ...
```
---
## 7. Templates 模板设计
### 7.1 Agent 基础模板
```markdown
# Agent Base Template
## 通用提示词结构
[ROLE] 你是{角色},专注于{职责}。
[TASK]
{任务描述}
- 输出: {output_path}
- 格式: {format}
- 范围: {scope}
[CONSTRAINTS]
- 约束1
- 约束2
[OUTPUT_FORMAT]
1. 直接写入文件
2. 返回 JSON 简要信息
[QUALITY_CHECKLIST]
- [ ] 检查项1
- [ ] 检查项2
## 变量说明
| 变量 | 来源 | 示例 |
|------|------|------|
| {output_dir} | Phase 1 | .workflow/.scratchpad/xxx |
| ... | ... | ... |
## Agent 配置映射
{AGENT_ROLES, AGENT_SECTIONS, AGENT_FILES, AGENT_FOCUS}
```
### 7.2 输出模板规范
```html
<!-- output-shell.html 示例 -->
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>{{title}}</title>
<style>
/* 内嵌 CSS */
{{styles}}
</style>
</head>
<body>
<div id="app">
{{content}}
</div>
<script>
/* 内嵌 JS */
{{scripts}}
</script>
</body>
</html>
```
### 7.3 占位符规范
| 占位符格式 | 用途 | 示例 |
|------------|------|------|
| `{{variable}}` | 简单变量替换 | `{{title}}` |
| `${variable}` | JavaScript 模板字符串 | `${workDir}` |
| `{placeholder}` | Prompt 占位 | `{intro}`, `{diagram}` |
---
## 8. Scripts 脚本规范
### 8.1 脚本类型
| 类型 | 用途 | 命名 |
|------|------|------|
| **提取器** | 从代码提取信息 | `extract_*.py` |
| **组装器** | 合并/转换文件 | `assemble_*.py` |
| **验证器** | 检查合规性 | `validate_*.py` |
| **辅助器** | 工具函数 | `*_helper.py` |
### 8.2 脚本使用说明文件
每个脚本应有对应的 `.md` 说明文件:
```markdown
# {Script Name} Runner
## Purpose
{脚本用途}
## Usage
{命令行使用方式}
## Parameters
| 参数 | 说明 | 默认值 |
|------|------|--------|
| ... | ... | ... |
## Output
{输出说明}
## Example
{使用示例}
```
---
## 9. Prompt 工程规范
### 9.1 Prompt 结构标准
```
[ROLE] {角色定义}
[PROJECT CONTEXT]
项目类型: {type}
语言: {language}
名称: {name}
[TASK]
{任务描述}
输出: {output_path}
[INPUT]
- 配置: {config_path}
- 扫描路径: {scan_paths}
[CONTENT REQUIREMENTS]
- 标题层级: # ## ### (最多3级)
- 代码块: ```language ... ``` (必须标注语言)
- 表格: | col1 | col2 | 格式
- 列表: 有序 1. 2. 3. / 无序 - - -
[FOCUS]
{重点关注项}
[OUTPUT FORMAT]
{输出格式说明}
[RETURN JSON]
{返回结构}
```
### 9.2 效率优化原则
| 原则 | Before (冗余) | After (精简) |
|------|---------------|--------------|
| **角色简化** | "你是一个专业的系统架构师,具有丰富的软件设计经验..." | `[ROLE] 系统架构师,专注于分层设计和模块依赖` |
| **模板驱动** | "请按照以下格式输出: 首先写一个二级标题..." | `[TEMPLATE] ## 2. 标题 {content}` |
| **焦点明确** | "分析项目的各个方面,包括架构、模块、依赖等" | `[FOCUS] 1. 分层 2. 模块 3. 依赖 4. 数据流` |
| **返回简洁** | "请返回详细的分析结果,包括所有发现的问题..." | `[RETURN] {"status":"completed","output_file":"xxx.md","summary":"<50字"}` |
### 9.3 Agent 返回格式标准
```typescript
interface AgentReturn {
status: "completed" | "partial" | "failed";
output_file: string; // 输出文件路径
summary: string; // 最多 50 字摘要
cross_module_notes?: string[]; // 跨模块备注
stats?: { // 统计信息
diagrams?: number;
words?: number;
};
screenshots_needed?: Array<{ // 截图需求(如适用)
id: string;
url: string;
description: string;
}>;
}
```
---
## 10. 质量控制规范
### 10.1 质量维度
| 维度 | 权重 | 检查项 |
|------|------|--------|
| **完整性** | 25% | 所有必需章节存在且有实质内容 |
| **一致性** | 25% | 术语、格式、风格统一 |
| **深度** | 25% | 内容详尽、示例充分 |
| **可读性** | 25% | 结构清晰、语言简洁 |
### 10.2 质量门控
```javascript
const QUALITY_GATES = {
pass: { threshold: 80, action: "继续执行" },
review: { threshold: 60, action: "处理警告后继续" },
fail: { threshold: 0, action: "必须修复后重试" }
};
```
### 10.3 问题分类
| 级别 | 前缀 | 含义 | 处理方式 |
|------|------|------|----------|
| **Error** | E | 阻塞性问题 | 必须修复 |
| **Warning** | W | 影响质量 | 建议修复 |
| **Info** | I | 可改进项 | 可选修复 |
### 10.4 自动化检查函数模板
```javascript
function runQualityChecks(workDir) {
const results = {
completeness: checkCompleteness(workDir),
consistency: checkConsistency(workDir),
depth: checkDepth(workDir),
readability: checkReadability(workDir)
};
results.overall = Object.values(results).reduce((a, b) => a + b) / 4;
return {
score: results.overall,
gate: results.overall >= 80 ? 'pass' :
results.overall >= 60 ? 'review' : 'fail',
details: results
};
}
```
---
## 11. 最佳实践清单
### 11.1 Skill 设计
- [ ] **单一职责**: 每个 Skill 专注一个领域
- [ ] **清晰入口**: SKILL.md 完整描述目标和流程
- [ ] **阶段分解**: 复杂任务拆分为 3-7 个阶段
- [ ] **顺序命名**: 使用数字前缀控制执行顺序
### 11.2 Phase 设计
- [ ] **明确目标**: 每个 Phase 有清晰的输入输出
- [ ] **独立可测**: 每个 Phase 可单独调试
- [ ] **链接下一步**: 明确说明后续阶段
### 11.3 Prompt 设计
- [ ] **角色明确**: 使用 `[ROLE]` 定义 Agent 身份
- [ ] **任务具体**: 使用 `[TASK]` 明确执行目标
- [ ] **约束清晰**: 使用 `[CONSTRAINTS]` 定义边界
- [ ] **返回简洁**: Agent 返回路径+摘要,非完整内容
### 11.4 质量控制
- [ ] **规范驱动**: 使用 `specs/` 定义可验证的标准
- [ ] **汇总检查**: 设置 Consolidation 阶段交叉验证
- [ ] **问题分级**: 区分 Error/Warning/Info
- [ ] **迭代优化**: 支持用户反馈循环
---
## 12. 示例模板
### 12.1 新 Skill 快速启动模板
```bash
# 创建 Skill 目录结构
mkdir -p my-skill/{phases,specs,templates,scripts}
# 创建核心文件
touch my-skill/SKILL.md
touch my-skill/phases/{01-collection,02-analysis,03-assembly}.md
touch my-skill/specs/{requirements,quality-standards}.md
touch my-skill/templates/agent-base.md
```
### 12.2 SKILL.md 最小模板
```markdown
---
name: my-skill
description: Generate XXX. Triggers on "keyword1", "keyword2".
allowed-tools: Task, AskUserQuestion, Read, Bash, Glob, Grep, Write
---
# My Skill
Generate XXX through multi-phase analysis.
## Execution Flow
1. Phase 1: Collection → config.json
2. Phase 2: Analysis → sections/*.md
3. Phase 3: Assembly → output.md
## Reference Documents
| Document | Purpose |
|----------|---------|
| [phases/01-collection.md](phases/01-collection.md) | 信息收集 |
| [phases/02-analysis.md](phases/02-analysis.md) | 代码分析 |
| [phases/03-assembly.md](phases/03-assembly.md) | 文档组装 |
```
---
## 附录 A: 设计对比
| 设计点 | software-manual | copyright-docs |
|--------|-----------------|----------------|
| 阶段数 | 6 | 5 |
| 并行 Agent | 6 | 6 |
| 输出格式 | HTML | Markdown |
| 质量检查 | 4 维度评分 | CPCC 合规检查 |
| 截图支持 | Chrome MCP | 无 |
| 迭代优化 | 用户反馈循环 | 合规验证循环 |
## 附录 B: 工具依赖
| 工具 | 用途 | 适用 Skill |
|------|------|------------|
| `Task` | 启动子 Agent | 所有 |
| `AskUserQuestion` | 用户交互 | 所有 |
| `Read/Write/Glob/Grep` | 文件操作 | 所有 |
| `Bash` | 脚本执行 | 需要自动化 |
| `mcp__chrome__*` | 浏览器截图 | UI 相关 |
---
*规范版本: 1.0*
*基于: software-manual, copyright-docs*
*最后更新: 2026-01-03*

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# Mermaid Utilities Library
Shared utilities for generating and validating Mermaid diagrams across all analysis skills.
## Sanitization Functions
### sanitizeId
Convert any text to a valid Mermaid node ID.
```javascript
/**
* Sanitize text to valid Mermaid node ID
* - Only alphanumeric and underscore allowed
* - Cannot start with number
* - Truncates to 50 chars max
*
* @param {string} text - Input text
* @returns {string} - Valid Mermaid ID
*/
function sanitizeId(text) {
if (!text) return '_empty';
return text
.replace(/[^a-zA-Z0-9_\u4e00-\u9fa5]/g, '_') // Allow Chinese chars
.replace(/^[0-9]/, '_$&') // Prefix number with _
.replace(/_+/g, '_') // Collapse multiple _
.substring(0, 50); // Limit length
}
// Examples:
// sanitizeId("User-Service") → "User_Service"
// sanitizeId("3rdParty") → "_3rdParty"
// sanitizeId("用户服务") → "用户服务"
```
### escapeLabel
Escape special characters for Mermaid labels.
```javascript
/**
* Escape special characters in Mermaid labels
* Uses HTML entity encoding for problematic chars
*
* @param {string} text - Label text
* @returns {string} - Escaped label
*/
function escapeLabel(text) {
if (!text) return '';
return text
.replace(/"/g, "'") // Avoid quote issues
.replace(/\(/g, '#40;') // (
.replace(/\)/g, '#41;') // )
.replace(/\{/g, '#123;') // {
.replace(/\}/g, '#125;') // }
.replace(/\[/g, '#91;') // [
.replace(/\]/g, '#93;') // ]
.replace(/</g, '#60;') // <
.replace(/>/g, '#62;') // >
.replace(/\|/g, '#124;') // |
.substring(0, 80); // Limit length
}
// Examples:
// escapeLabel("Process(data)") → "Process#40;data#41;"
// escapeLabel("Check {valid?}") → "Check #123;valid?#125;"
```
### sanitizeType
Sanitize type names for class diagrams.
```javascript
/**
* Sanitize type names for Mermaid classDiagram
* Removes generics syntax that causes issues
*
* @param {string} type - Type name
* @returns {string} - Sanitized type
*/
function sanitizeType(type) {
if (!type) return 'any';
return type
.replace(/<[^>]*>/g, '') // Remove generics <T>
.replace(/\|/g, ' or ') // Union types
.replace(/&/g, ' and ') // Intersection types
.replace(/\[\]/g, 'Array') // Array notation
.substring(0, 30);
}
// Examples:
// sanitizeType("Array<string>") → "Array"
// sanitizeType("string | number") → "string or number"
```
## Diagram Generation Functions
### generateFlowchartNode
Generate a flowchart node with proper shape.
```javascript
/**
* Generate flowchart node with shape
*
* @param {string} id - Node ID
* @param {string} label - Display label
* @param {string} type - Node type: start|end|process|decision|io|subroutine
* @returns {string} - Mermaid node definition
*/
function generateFlowchartNode(id, label, type = 'process') {
const safeId = sanitizeId(id);
const safeLabel = escapeLabel(label);
const shapes = {
start: `${safeId}(["${safeLabel}"])`, // Stadium shape
end: `${safeId}(["${safeLabel}"])`, // Stadium shape
process: `${safeId}["${safeLabel}"]`, // Rectangle
decision: `${safeId}{"${safeLabel}"}`, // Diamond
io: `${safeId}[/"${safeLabel}"/]`, // Parallelogram
subroutine: `${safeId}[["${safeLabel}"]]`, // Subroutine
database: `${safeId}[("${safeLabel}")]`, // Cylinder
manual: `${safeId}[/"${safeLabel}"\\]` // Trapezoid
};
return shapes[type] || shapes.process;
}
```
### generateFlowchartEdge
Generate a flowchart edge with optional label.
```javascript
/**
* Generate flowchart edge
*
* @param {string} from - Source node ID
* @param {string} to - Target node ID
* @param {string} label - Edge label (optional)
* @param {string} style - Edge style: solid|dashed|thick
* @returns {string} - Mermaid edge definition
*/
function generateFlowchartEdge(from, to, label = '', style = 'solid') {
const safeFrom = sanitizeId(from);
const safeTo = sanitizeId(to);
const safeLabel = label ? `|"${escapeLabel(label)}"|` : '';
const arrows = {
solid: '-->',
dashed: '-.->',
thick: '==>'
};
const arrow = arrows[style] || arrows.solid;
return ` ${safeFrom} ${arrow}${safeLabel} ${safeTo}`;
}
```
### generateAlgorithmFlowchart (Enhanced)
Generate algorithm flowchart with branch/loop support.
```javascript
/**
* Generate algorithm flowchart with decision support
*
* @param {Object} algorithm - Algorithm definition
* - name: Algorithm name
* - inputs: [{name, type}]
* - outputs: [{name, type}]
* - steps: [{id, description, type, next: [id], conditions: [text]}]
* @returns {string} - Complete Mermaid flowchart
*/
function generateAlgorithmFlowchart(algorithm) {
let mermaid = 'flowchart TD\n';
// Start node
mermaid += ` START(["开始: ${escapeLabel(algorithm.name)}"])\n`;
// Input node (if has inputs)
if (algorithm.inputs?.length > 0) {
const inputList = algorithm.inputs.map(i => `${i.name}: ${i.type}`).join(', ');
mermaid += ` INPUT[/"输入: ${escapeLabel(inputList)}"/]\n`;
mermaid += ` START --> INPUT\n`;
}
// Process nodes
const steps = algorithm.steps || [];
for (const step of steps) {
const nodeId = sanitizeId(step.id || `STEP_${step.step_num}`);
if (step.type === 'decision') {
mermaid += ` ${nodeId}{"${escapeLabel(step.description)}"}\n`;
} else if (step.type === 'io') {
mermaid += ` ${nodeId}[/"${escapeLabel(step.description)}"/]\n`;
} else if (step.type === 'loop_start') {
mermaid += ` ${nodeId}[["循环: ${escapeLabel(step.description)}"]]\n`;
} else {
mermaid += ` ${nodeId}["${escapeLabel(step.description)}"]\n`;
}
}
// Output node
const outputDesc = algorithm.outputs?.map(o => o.name).join(', ') || '结果';
mermaid += ` OUTPUT[/"输出: ${escapeLabel(outputDesc)}"/]\n`;
mermaid += ` END_(["结束"])\n`;
// Connect first step to input/start
if (steps.length > 0) {
const firstStep = sanitizeId(steps[0].id || 'STEP_1');
if (algorithm.inputs?.length > 0) {
mermaid += ` INPUT --> ${firstStep}\n`;
} else {
mermaid += ` START --> ${firstStep}\n`;
}
}
// Connect steps based on next array
for (const step of steps) {
const nodeId = sanitizeId(step.id || `STEP_${step.step_num}`);
if (step.next && step.next.length > 0) {
step.next.forEach((nextId, index) => {
const safeNextId = sanitizeId(nextId);
const condition = step.conditions?.[index];
if (condition) {
mermaid += ` ${nodeId} -->|"${escapeLabel(condition)}"| ${safeNextId}\n`;
} else {
mermaid += ` ${nodeId} --> ${safeNextId}\n`;
}
});
} else if (!step.type?.includes('end')) {
// Default: connect to next step or output
const stepIndex = steps.indexOf(step);
if (stepIndex < steps.length - 1) {
const nextStep = sanitizeId(steps[stepIndex + 1].id || `STEP_${stepIndex + 2}`);
mermaid += ` ${nodeId} --> ${nextStep}\n`;
} else {
mermaid += ` ${nodeId} --> OUTPUT\n`;
}
}
}
// Connect output to end
mermaid += ` OUTPUT --> END_\n`;
return mermaid;
}
```
## Diagram Validation
### validateMermaidSyntax
Comprehensive Mermaid syntax validation.
```javascript
/**
* Validate Mermaid diagram syntax
*
* @param {string} content - Mermaid diagram content
* @returns {Object} - {valid: boolean, issues: string[]}
*/
function validateMermaidSyntax(content) {
const issues = [];
// Check 1: Diagram type declaration
if (!content.match(/^(graph|flowchart|classDiagram|sequenceDiagram|stateDiagram|erDiagram|gantt|pie|mindmap)/m)) {
issues.push('Missing diagram type declaration');
}
// Check 2: Undefined values
if (content.includes('undefined') || content.includes('null')) {
issues.push('Contains undefined/null values');
}
// Check 3: Invalid arrow syntax
if (content.match(/-->\s*-->/)) {
issues.push('Double arrow syntax error');
}
// Check 4: Unescaped special characters in labels
const labelMatches = content.match(/\["[^"]*[(){}[\]<>][^"]*"\]/g);
if (labelMatches?.some(m => !m.includes('#'))) {
issues.push('Unescaped special characters in labels');
}
// Check 5: Node ID starts with number
if (content.match(/\n\s*[0-9][a-zA-Z0-9_]*[\[\({]/)) {
issues.push('Node ID cannot start with number');
}
// Check 6: Nested subgraph syntax error
if (content.match(/subgraph\s+\S+\s*\n[^e]*subgraph/)) {
// This is actually valid, only flag if brackets don't match
const subgraphCount = (content.match(/subgraph/g) || []).length;
const endCount = (content.match(/\bend\b/g) || []).length;
if (subgraphCount > endCount) {
issues.push('Unbalanced subgraph/end blocks');
}
}
// Check 7: Invalid arrow type for diagram type
const diagramType = content.match(/^(graph|flowchart|classDiagram|sequenceDiagram)/m)?.[1];
if (diagramType === 'classDiagram' && content.includes('-->|')) {
issues.push('Invalid edge label syntax for classDiagram');
}
// Check 8: Empty node labels
if (content.match(/\[""\]|\{\}|\(\)/)) {
issues.push('Empty node labels detected');
}
// Check 9: Reserved keywords as IDs
const reserved = ['end', 'graph', 'subgraph', 'direction', 'class', 'click'];
for (const keyword of reserved) {
const pattern = new RegExp(`\\n\\s*${keyword}\\s*[\\[\\(\\{]`, 'i');
if (content.match(pattern)) {
issues.push(`Reserved keyword "${keyword}" used as node ID`);
}
}
// Check 10: Line length (Mermaid has issues with very long lines)
const lines = content.split('\n');
for (let i = 0; i < lines.length; i++) {
if (lines[i].length > 500) {
issues.push(`Line ${i + 1} exceeds 500 characters`);
}
}
return {
valid: issues.length === 0,
issues
};
}
```
### validateDiagramDirectory
Validate all diagrams in a directory.
```javascript
/**
* Validate all Mermaid diagrams in directory
*
* @param {string} diagramDir - Path to diagrams directory
* @returns {Object[]} - Array of {file, valid, issues}
*/
function validateDiagramDirectory(diagramDir) {
const files = Glob(`${diagramDir}/*.mmd`);
const results = [];
for (const file of files) {
const content = Read(file);
const validation = validateMermaidSyntax(content);
results.push({
file: file.split('/').pop(),
path: file,
valid: validation.valid,
issues: validation.issues,
lines: content.split('\n').length
});
}
return results;
}
```
## Class Diagram Utilities
### generateClassDiagram
Generate class diagram with relationships.
```javascript
/**
* Generate class diagram from analysis data
*
* @param {Object} analysis - Data structure analysis
* - entities: [{name, type, properties, methods}]
* - relationships: [{from, to, type, label}]
* @param {Object} options - Generation options
* - maxClasses: Max classes to include (default: 15)
* - maxProperties: Max properties per class (default: 8)
* - maxMethods: Max methods per class (default: 6)
* @returns {string} - Mermaid classDiagram
*/
function generateClassDiagram(analysis, options = {}) {
const maxClasses = options.maxClasses || 15;
const maxProperties = options.maxProperties || 8;
const maxMethods = options.maxMethods || 6;
let mermaid = 'classDiagram\n';
const entities = (analysis.entities || []).slice(0, maxClasses);
// Generate classes
for (const entity of entities) {
const className = sanitizeId(entity.name);
mermaid += ` class ${className} {\n`;
// Properties
for (const prop of (entity.properties || []).slice(0, maxProperties)) {
const vis = {public: '+', private: '-', protected: '#'}[prop.visibility] || '+';
const type = sanitizeType(prop.type);
mermaid += ` ${vis}${type} ${prop.name}\n`;
}
// Methods
for (const method of (entity.methods || []).slice(0, maxMethods)) {
const vis = {public: '+', private: '-', protected: '#'}[method.visibility] || '+';
const params = (method.params || []).map(p => p.name).join(', ');
const returnType = sanitizeType(method.returnType || 'void');
mermaid += ` ${vis}${method.name}(${params}) ${returnType}\n`;
}
mermaid += ' }\n';
// Add stereotype if applicable
if (entity.type === 'interface') {
mermaid += ` <<interface>> ${className}\n`;
} else if (entity.type === 'abstract') {
mermaid += ` <<abstract>> ${className}\n`;
}
}
// Generate relationships
const arrows = {
inheritance: '--|>',
implementation: '..|>',
composition: '*--',
aggregation: 'o--',
association: '-->',
dependency: '..>'
};
for (const rel of (analysis.relationships || [])) {
const from = sanitizeId(rel.from);
const to = sanitizeId(rel.to);
const arrow = arrows[rel.type] || '-->';
const label = rel.label ? ` : ${escapeLabel(rel.label)}` : '';
// Only include if both entities exist
if (entities.some(e => sanitizeId(e.name) === from) &&
entities.some(e => sanitizeId(e.name) === to)) {
mermaid += ` ${from} ${arrow} ${to}${label}\n`;
}
}
return mermaid;
}
```
## Sequence Diagram Utilities
### generateSequenceDiagram
Generate sequence diagram from scenario.
```javascript
/**
* Generate sequence diagram from scenario
*
* @param {Object} scenario - Sequence scenario
* - name: Scenario name
* - actors: [{id, name, type}]
* - messages: [{from, to, description, type}]
* - blocks: [{type, condition, messages}]
* @returns {string} - Mermaid sequenceDiagram
*/
function generateSequenceDiagram(scenario) {
let mermaid = 'sequenceDiagram\n';
// Title
if (scenario.name) {
mermaid += ` title ${escapeLabel(scenario.name)}\n`;
}
// Participants
for (const actor of scenario.actors || []) {
const actorType = actor.type === 'external' ? 'actor' : 'participant';
mermaid += ` ${actorType} ${sanitizeId(actor.id)} as ${escapeLabel(actor.name)}\n`;
}
mermaid += '\n';
// Messages
for (const msg of scenario.messages || []) {
const from = sanitizeId(msg.from);
const to = sanitizeId(msg.to);
const desc = escapeLabel(msg.description);
let arrow;
switch (msg.type) {
case 'async': arrow = '->>'; break;
case 'response': arrow = '-->>'; break;
case 'create': arrow = '->>+'; break;
case 'destroy': arrow = '->>-'; break;
case 'self': arrow = '->>'; break;
default: arrow = '->>';
}
mermaid += ` ${from}${arrow}${to}: ${desc}\n`;
// Activation
if (msg.activate) {
mermaid += ` activate ${to}\n`;
}
if (msg.deactivate) {
mermaid += ` deactivate ${from}\n`;
}
// Notes
if (msg.note) {
mermaid += ` Note over ${to}: ${escapeLabel(msg.note)}\n`;
}
}
// Blocks (loops, alt, opt)
for (const block of scenario.blocks || []) {
switch (block.type) {
case 'loop':
mermaid += ` loop ${escapeLabel(block.condition)}\n`;
break;
case 'alt':
mermaid += ` alt ${escapeLabel(block.condition)}\n`;
break;
case 'opt':
mermaid += ` opt ${escapeLabel(block.condition)}\n`;
break;
}
for (const m of block.messages || []) {
mermaid += ` ${sanitizeId(m.from)}->>${sanitizeId(m.to)}: ${escapeLabel(m.description)}\n`;
}
mermaid += ' end\n';
}
return mermaid;
}
```
## Usage Examples
### Example 1: Algorithm with Branches
```javascript
const algorithm = {
name: "用户认证流程",
inputs: [{name: "credentials", type: "Object"}],
outputs: [{name: "token", type: "JWT"}],
steps: [
{id: "validate", description: "验证输入格式", type: "process"},
{id: "check_user", description: "用户是否存在?", type: "decision",
next: ["verify_pwd", "error_user"], conditions: ["是", "否"]},
{id: "verify_pwd", description: "验证密码", type: "process"},
{id: "pwd_ok", description: "密码正确?", type: "decision",
next: ["gen_token", "error_pwd"], conditions: ["是", "否"]},
{id: "gen_token", description: "生成 JWT Token", type: "process"},
{id: "error_user", description: "返回用户不存在", type: "io"},
{id: "error_pwd", description: "返回密码错误", type: "io"}
]
};
const flowchart = generateAlgorithmFlowchart(algorithm);
```
### Example 2: Validate Before Output
```javascript
const diagram = generateClassDiagram(analysis);
const validation = validateMermaidSyntax(diagram);
if (!validation.valid) {
console.log("Diagram has issues:", validation.issues);
// Fix issues or regenerate
} else {
Write(`${outputDir}/class-diagram.mmd`, diagram);
}
```

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---
name: ccw-help
description: CCW command help system. Search, browse, recommend commands. Triggers "ccw-help", "ccw-issue".
allowed-tools: Read, Grep, Glob, AskUserQuestion
version: 7.0.0
---
# CCW-Help Skill
CCW 命令帮助系统,提供命令搜索、推荐、文档查看功能。
## Trigger Conditions
- 关键词: "ccw-help", "ccw-issue", "帮助", "命令", "怎么用"
- 场景: 询问命令用法、搜索命令、请求下一步建议
## Operation Modes
### Mode 1: Command Search
**Triggers**: "搜索命令", "find command", "search"
**Process**:
1. Query `command.json` commands array
2. Filter by name, description, category
3. Present top 3-5 relevant commands
### Mode 2: Smart Recommendations
**Triggers**: "下一步", "what's next", "推荐"
**Process**:
1. Query command's `flow.next_steps` in `command.json`
2. Explain WHY each recommendation fits
### Mode 3: Documentation
**Triggers**: "怎么用", "how to use", "详情"
**Process**:
1. Locate command in `command.json`
2. Read source file via `source` path
3. Provide context-specific examples
### Mode 4: Beginner Onboarding
**Triggers**: "新手", "getting started", "常用命令"
**Process**:
1. Query `essential_commands` array
2. Guide appropriate workflow entry point
### Mode 5: Issue Reporting
**Triggers**: "ccw-issue", "报告 bug"
**Process**:
1. Use AskUserQuestion to gather context
2. Generate structured issue template
## Data Source
Single source of truth: **[command.json](command.json)**
| Field | Purpose |
|-------|---------|
| `commands[]` | Flat command list with metadata |
| `commands[].flow` | Relationships (next_steps, prerequisites) |
| `commands[].essential` | Essential flag for onboarding |
| `agents[]` | Agent directory |
| `essential_commands[]` | Core commands list |
### Source Path Format
`source` 字段是相对路径(从 `skills/ccw-help/` 目录):
```json
{
"name": "lite-plan",
"source": "../../../commands/workflow/lite-plan.md"
}
```
## Slash Commands
```bash
/ccw-help # 通用帮助入口
/ccw-help search <keyword> # 搜索命令
/ccw-help next <command> # 获取下一步建议
/ccw-issue # 问题报告
```
## Maintenance
### Update Index
```bash
cd D:/Claude_dms3/.claude/skills/ccw-help
python scripts/analyze_commands.py
```
脚本功能:扫描 commands/ 和 agents/ 目录,生成统一的 command.json
## Statistics
- **Commands**: 88+
- **Agents**: 16
- **Essential**: 10 核心命令
## Core Principle
**智能整合,非模板复制**
- 理解用户具体情况
- 整合多个来源信息
- 定制示例和说明

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{
"_metadata": {
"version": "2.0.0",
"total_commands": 45,
"total_agents": 16,
"description": "Unified CCW-Help command index"
},
"essential_commands": [
"/workflow:lite-plan",
"/workflow:lite-fix",
"/workflow:plan",
"/workflow:execute",
"/workflow:session:start",
"/workflow:review-session-cycle",
"/memory:docs",
"/workflow:brainstorm:artifacts",
"/workflow:action-plan-verify",
"/version"
],
"commands": [
{
"name": "lite-plan",
"command": "/workflow:lite-plan",
"description": "Lightweight interactive planning with in-memory plan, dispatches to lite-execute",
"arguments": "[-e|--explore] \"task\"|file.md",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"next_steps": ["/workflow:lite-execute"],
"alternatives": ["/workflow:plan"]
},
"source": "../../../commands/workflow/lite-plan.md"
},
{
"name": "lite-execute",
"command": "/workflow:lite-execute",
"description": "Execute based on in-memory plan or prompt",
"arguments": "[--in-memory] \"task\"|file-path",
"category": "workflow",
"difficulty": "Intermediate",
"flow": {
"prerequisites": ["/workflow:lite-plan", "/workflow:lite-fix"]
},
"source": "../../../commands/workflow/lite-execute.md"
},
{
"name": "lite-fix",
"command": "/workflow:lite-fix",
"description": "Lightweight bug diagnosis and fix with optional hotfix mode",
"arguments": "[--hotfix] \"bug description\"",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"next_steps": ["/workflow:lite-execute"],
"alternatives": ["/workflow:lite-plan"]
},
"source": "../../../commands/workflow/lite-fix.md"
},
{
"name": "plan",
"command": "/workflow:plan",
"description": "5-phase planning with task JSON generation",
"arguments": "\"description\"|file.md",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"next_steps": ["/workflow:action-plan-verify", "/workflow:execute"],
"alternatives": ["/workflow:tdd-plan"]
},
"source": "../../../commands/workflow/plan.md"
},
{
"name": "execute",
"command": "/workflow:execute",
"description": "Coordinate agent execution with DAG parallel processing",
"arguments": "[--resume-session=\"session-id\"]",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"prerequisites": ["/workflow:plan", "/workflow:tdd-plan"],
"next_steps": ["/workflow:review"]
},
"source": "../../../commands/workflow/execute.md"
},
{
"name": "action-plan-verify",
"command": "/workflow:action-plan-verify",
"description": "Cross-artifact consistency analysis",
"arguments": "[--session session-id]",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"prerequisites": ["/workflow:plan"],
"next_steps": ["/workflow:execute"]
},
"source": "../../../commands/workflow/action-plan-verify.md"
},
{
"name": "init",
"command": "/workflow:init",
"description": "Initialize project-level state",
"arguments": "[--regenerate]",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/init.md"
},
{
"name": "clean",
"command": "/workflow:clean",
"description": "Intelligent code cleanup with stale artifact discovery",
"arguments": "[--dry-run] [\"focus\"]",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/clean.md"
},
{
"name": "debug",
"command": "/workflow:debug",
"description": "Hypothesis-driven debugging with NDJSON logging",
"arguments": "\"bug description\"",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/debug.md"
},
{
"name": "replan",
"command": "/workflow:replan",
"description": "Interactive workflow replanning",
"arguments": "[--session id] [task-id] \"requirements\"",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/replan.md"
},
{
"name": "session:start",
"command": "/workflow:session:start",
"description": "Start or discover workflow sessions",
"arguments": "[--type <workflow|review|tdd>] [--auto|--new]",
"category": "workflow",
"subcategory": "session",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"next_steps": ["/workflow:plan", "/workflow:execute"]
},
"source": "../../../commands/workflow/session/start.md"
},
{
"name": "session:list",
"command": "/workflow:session:list",
"description": "List all workflow sessions",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"difficulty": "Beginner",
"source": "../../../commands/workflow/session/list.md"
},
{
"name": "session:resume",
"command": "/workflow:session:resume",
"description": "Resume paused workflow session",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/session/resume.md"
},
{
"name": "session:complete",
"command": "/workflow:session:complete",
"description": "Mark session complete and archive",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/session/complete.md"
},
{
"name": "brainstorm:auto-parallel",
"command": "/workflow:brainstorm:auto-parallel",
"description": "Parallel brainstorming with multi-role analysis",
"arguments": "\"topic\" [--count N]",
"category": "workflow",
"subcategory": "brainstorm",
"difficulty": "Advanced",
"source": "../../../commands/workflow/brainstorm/auto-parallel.md"
},
{
"name": "brainstorm:artifacts",
"command": "/workflow:brainstorm:artifacts",
"description": "Interactive clarification with guidance specification",
"arguments": "\"topic\" [--count N]",
"category": "workflow",
"subcategory": "brainstorm",
"difficulty": "Intermediate",
"essential": true,
"source": "../../../commands/workflow/brainstorm/artifacts.md"
},
{
"name": "brainstorm:synthesis",
"command": "/workflow:brainstorm:synthesis",
"description": "Refine role analyses through Q&A",
"arguments": "[--session session-id]",
"category": "workflow",
"subcategory": "brainstorm",
"difficulty": "Advanced",
"source": "../../../commands/workflow/brainstorm/synthesis.md"
},
{
"name": "tdd-plan",
"command": "/workflow:tdd-plan",
"description": "TDD planning with Red-Green-Refactor cycles",
"arguments": "\"feature\"|file.md",
"category": "workflow",
"difficulty": "Advanced",
"flow": {
"next_steps": ["/workflow:execute", "/workflow:tdd-verify"],
"alternatives": ["/workflow:plan"]
},
"source": "../../../commands/workflow/tdd-plan.md"
},
{
"name": "tdd-verify",
"command": "/workflow:tdd-verify",
"description": "Verify TDD compliance with coverage analysis",
"arguments": "[session-id]",
"category": "workflow",
"difficulty": "Advanced",
"flow": {
"prerequisites": ["/workflow:execute"]
},
"source": "../../../commands/workflow/tdd-verify.md"
},
{
"name": "review",
"command": "/workflow:review",
"description": "Post-implementation review (security/architecture/quality)",
"arguments": "[--type=<type>] [session-id]",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/review.md"
},
{
"name": "review-session-cycle",
"command": "/workflow:review-session-cycle",
"description": "Multi-dimensional code review across 7 dimensions",
"arguments": "[session-id] [--dimensions=...]",
"category": "workflow",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"prerequisites": ["/workflow:execute"],
"next_steps": ["/workflow:review-fix"]
},
"source": "../../../commands/workflow/review-session-cycle.md"
},
{
"name": "review-module-cycle",
"command": "/workflow:review-module-cycle",
"description": "Module-based multi-dimensional review",
"arguments": "<path-pattern> [--dimensions=...]",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/review-module-cycle.md"
},
{
"name": "review-fix",
"command": "/workflow:review-fix",
"description": "Automated fixing of review findings",
"arguments": "<export-file|review-dir>",
"category": "workflow",
"difficulty": "Intermediate",
"flow": {
"prerequisites": ["/workflow:review-session-cycle", "/workflow:review-module-cycle"]
},
"source": "../../../commands/workflow/review-fix.md"
},
{
"name": "test-gen",
"command": "/workflow:test-gen",
"description": "Generate test session from implementation",
"arguments": "source-session-id",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/test-gen.md"
},
{
"name": "test-fix-gen",
"command": "/workflow:test-fix-gen",
"description": "Create test-fix session with strategy",
"arguments": "session-id|\"description\"|file",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/test-fix-gen.md"
},
{
"name": "test-cycle-execute",
"command": "/workflow:test-cycle-execute",
"description": "Execute test-fix with iterative cycles",
"arguments": "[--resume-session=id] [--max-iterations=N]",
"category": "workflow",
"difficulty": "Intermediate",
"source": "../../../commands/workflow/test-cycle-execute.md"
},
{
"name": "issue:new",
"command": "/issue:new",
"description": "Create issue from GitHub URL or text",
"arguments": "<url|text> [--priority 1-5]",
"category": "issue",
"difficulty": "Intermediate",
"source": "../../../commands/issue/new.md"
},
{
"name": "issue:discover",
"command": "/issue:discover",
"description": "Discover issues from multiple perspectives",
"arguments": "<path> [--perspectives=...]",
"category": "issue",
"difficulty": "Intermediate",
"source": "../../../commands/issue/discover.md"
},
{
"name": "issue:plan",
"command": "/issue:plan",
"description": "Batch plan issue resolution",
"arguments": "--all-pending|<ids>",
"category": "issue",
"difficulty": "Intermediate",
"flow": {
"next_steps": ["/issue:queue"]
},
"source": "../../../commands/issue/plan.md"
},
{
"name": "issue:queue",
"command": "/issue:queue",
"description": "Form execution queue from solutions",
"arguments": "[--rebuild]",
"category": "issue",
"difficulty": "Intermediate",
"flow": {
"prerequisites": ["/issue:plan"],
"next_steps": ["/issue:execute"]
},
"source": "../../../commands/issue/queue.md"
},
{
"name": "issue:execute",
"command": "/issue:execute",
"description": "Execute queue with DAG parallel",
"arguments": "[--worktree]",
"category": "issue",
"difficulty": "Intermediate",
"flow": {
"prerequisites": ["/issue:queue"]
},
"source": "../../../commands/issue/execute.md"
},
{
"name": "docs",
"command": "/memory:docs",
"description": "Plan documentation workflow",
"arguments": "[path] [--tool <tool>]",
"category": "memory",
"difficulty": "Intermediate",
"essential": true,
"flow": {
"next_steps": ["/workflow:execute"]
},
"source": "../../../commands/memory/docs.md"
},
{
"name": "update-related",
"command": "/memory:update-related",
"description": "Update docs for git-changed modules",
"arguments": "[--tool <tool>]",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/update-related.md"
},
{
"name": "update-full",
"command": "/memory:update-full",
"description": "Update all CLAUDE.md files",
"arguments": "[--tool <tool>]",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/update-full.md"
},
{
"name": "skill-memory",
"command": "/memory:skill-memory",
"description": "Generate SKILL.md with loading index",
"arguments": "[path] [--regenerate]",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/skill-memory.md"
},
{
"name": "load-skill-memory",
"command": "/memory:load-skill-memory",
"description": "Activate SKILL package for task",
"arguments": "[skill_name] \"task intent\"",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/load-skill-memory.md"
},
{
"name": "load",
"command": "/memory:load",
"description": "Load project context via CLI",
"arguments": "[--tool <tool>] \"context\"",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/load.md"
},
{
"name": "compact",
"command": "/memory:compact",
"description": "Compact session memory for recovery",
"arguments": "[description]",
"category": "memory",
"difficulty": "Intermediate",
"source": "../../../commands/memory/compact.md"
},
{
"name": "task:create",
"command": "/task:create",
"description": "Generate task JSON from description",
"arguments": "\"task title\"",
"category": "task",
"difficulty": "Intermediate",
"source": "../../../commands/task/create.md"
},
{
"name": "task:execute",
"command": "/task:execute",
"description": "Execute task JSON with agent",
"arguments": "task-id",
"category": "task",
"difficulty": "Intermediate",
"source": "../../../commands/task/execute.md"
},
{
"name": "task:breakdown",
"command": "/task:breakdown",
"description": "Decompose task into subtasks",
"arguments": "task-id",
"category": "task",
"difficulty": "Intermediate",
"source": "../../../commands/task/breakdown.md"
},
{
"name": "task:replan",
"command": "/task:replan",
"description": "Update task with new requirements",
"arguments": "task-id [\"text\"|file]",
"category": "task",
"difficulty": "Intermediate",
"source": "../../../commands/task/replan.md"
},
{
"name": "version",
"command": "/version",
"description": "Display version and check updates",
"arguments": "",
"category": "general",
"difficulty": "Beginner",
"essential": true,
"source": "../../../commands/version.md"
},
{
"name": "enhance-prompt",
"command": "/enhance-prompt",
"description": "Transform prompts with session memory",
"arguments": "user input",
"category": "general",
"difficulty": "Intermediate",
"source": "../../../commands/enhance-prompt.md"
},
{
"name": "cli-init",
"command": "/cli:cli-init",
"description": "Initialize CLI tool configurations (.gemini/, .qwen/) with technology-aware ignore rules",
"arguments": "[--tool gemini|qwen|all] [--preview] [--output path]",
"category": "cli",
"difficulty": "Intermediate",
"source": "../../../commands/cli/cli-init.md"
}
],
"agents": [
{ "name": "action-planning-agent", "description": "Task planning and generation", "source": "../../../agents/action-planning-agent.md" },
{ "name": "cli-execution-agent", "description": "CLI tool execution", "source": "../../../agents/cli-execution-agent.md" },
{ "name": "cli-explore-agent", "description": "Codebase exploration", "source": "../../../agents/cli-explore-agent.md" },
{ "name": "cli-lite-planning-agent", "description": "Lightweight planning", "source": "../../../agents/cli-lite-planning-agent.md" },
{ "name": "cli-planning-agent", "description": "CLI-based planning", "source": "../../../agents/cli-planning-agent.md" },
{ "name": "code-developer", "description": "Code implementation", "source": "../../../agents/code-developer.md" },
{ "name": "conceptual-planning-agent", "description": "Conceptual analysis", "source": "../../../agents/conceptual-planning-agent.md" },
{ "name": "context-search-agent", "description": "Context discovery", "source": "../../../agents/context-search-agent.md" },
{ "name": "doc-generator", "description": "Documentation generation", "source": "../../../agents/doc-generator.md" },
{ "name": "issue-plan-agent", "description": "Issue planning", "source": "../../../agents/issue-plan-agent.md" },
{ "name": "issue-queue-agent", "description": "Issue queue formation", "source": "../../../agents/issue-queue-agent.md" },
{ "name": "memory-bridge", "description": "Documentation coordination", "source": "../../../agents/memory-bridge.md" },
{ "name": "test-context-search-agent", "description": "Test context collection", "source": "../../../agents/test-context-search-agent.md" },
{ "name": "test-fix-agent", "description": "Test execution and fixing", "source": "../../../agents/test-fix-agent.md" },
{ "name": "ui-design-agent", "description": "UI design and prototyping", "source": "../../../agents/ui-design-agent.md" },
{ "name": "universal-executor", "description": "Universal task execution", "source": "../../../agents/universal-executor.md" }
],
"categories": ["workflow", "issue", "memory", "task", "general", "cli"]
}

View File

@@ -1,12 +1,12 @@
#!/usr/bin/env python3
"""
Analyze all command files and generate index files for command-guide skill.
Analyze all command/agent files and generate index files for ccw-help skill.
Outputs relative paths pointing to source files (no reference folder duplication).
"""
import os
import re
import json
import shutil
from pathlib import Path
from collections import defaultdict
from typing import Dict, List, Any
@@ -15,8 +15,7 @@ from typing import Dict, List, Any
BASE_DIR = Path("D:/Claude_dms3/.claude")
COMMANDS_DIR = BASE_DIR / "commands"
AGENTS_DIR = BASE_DIR / "agents"
SKILL_DIR = BASE_DIR / "skills" / "command-guide"
REFERENCE_DIR = SKILL_DIR / "reference"
SKILL_DIR = BASE_DIR / "skills" / "ccw-help"
INDEX_DIR = SKILL_DIR / "index"
def parse_frontmatter(content: str) -> Dict[str, Any]:
@@ -24,7 +23,6 @@ def parse_frontmatter(content: str) -> Dict[str, Any]:
frontmatter = {}
if content.startswith('---'):
lines = content.split('\n')
in_frontmatter = False
for i, line in enumerate(lines[1:], 1):
if line.strip() == '---':
break
@@ -48,49 +46,33 @@ def categorize_command(file_path: Path) -> tuple:
def determine_usage_scenario(name: str, description: str, category: str) -> str:
"""Determine primary usage scenario for command."""
name_lower = name.lower()
desc_lower = description.lower()
# Planning indicators
if any(word in name_lower for word in ['plan', 'design', 'breakdown', 'brainstorm']):
return "planning"
# Implementation indicators
if any(word in name_lower for word in ['implement', 'execute', 'generate', 'create', 'write']):
return "implementation"
# Testing indicators
if any(word in name_lower for word in ['test', 'tdd', 'verify', 'coverage']):
return "testing"
# Documentation indicators
if any(word in name_lower for word in ['docs', 'documentation', 'memory']):
return "documentation"
# Session management indicators
if any(word in name_lower for word in ['session', 'resume', 'status', 'complete']):
return "session-management"
# Analysis indicators
if any(word in name_lower for word in ['analyze', 'review', 'diagnosis']):
return "analysis"
return "general"
def determine_difficulty(name: str, description: str, category: str) -> str:
"""Determine difficulty level."""
name_lower = name.lower()
# Beginner commands
beginner_keywords = ['status', 'list', 'chat', 'analyze', 'version']
if any(word in name_lower for word in beginner_keywords):
return "Beginner"
# Advanced commands
advanced_keywords = ['tdd', 'conflict', 'agent', 'auto-parallel', 'coverage', 'synthesis']
if any(word in name_lower for word in advanced_keywords):
return "Advanced"
# Intermediate by default
return "Intermediate"
def analyze_command_file(file_path: Path) -> Dict[str, Any]:
@@ -98,30 +80,27 @@ def analyze_command_file(file_path: Path) -> Dict[str, Any]:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Parse frontmatter
frontmatter = parse_frontmatter(content)
# Extract data
name = frontmatter.get('name', file_path.stem)
description = frontmatter.get('description', '')
argument_hint = frontmatter.get('argument-hint', '')
# Determine categorization
category, subcategory = categorize_command(file_path)
usage_scenario = determine_usage_scenario(name, description, category)
difficulty = determine_difficulty(name, description, category)
# Build relative path
rel_path = str(file_path.relative_to(COMMANDS_DIR)).replace('\\', '/')
# Build relative path from INDEX_DIR (need to go up 3 levels: index -> ccw-help -> skills -> .claude)
# e.g., "../../../commands/workflow/lite-plan.md"
rel_from_base = file_path.relative_to(BASE_DIR)
rel_path = "../../../" + str(rel_from_base).replace('\\', '/')
# Build full command name from frontmatter name or construct it
# If name already contains colons (e.g., "workflow:status"), use it directly
# Build full command name
if ':' in name:
command_name = f"/{name}"
elif category == "general":
command_name = f"/{name}"
else:
# For subcategorized commands, build the full path
if subcategory:
command_name = f"/{category}:{subcategory}:{name}"
else:
@@ -136,43 +115,50 @@ def analyze_command_file(file_path: Path) -> Dict[str, Any]:
"subcategory": subcategory,
"usage_scenario": usage_scenario,
"difficulty": difficulty,
"file_path": rel_path
"source": rel_path # Relative from index/ dir (e.g., "../../../commands/workflow/...")
}
def analyze_agent_file(file_path: Path) -> Dict[str, Any]:
"""Analyze a single agent file and extract metadata."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
frontmatter = parse_frontmatter(content)
name = frontmatter.get('name', file_path.stem)
description = frontmatter.get('description', '')
# Build relative path from INDEX_DIR (need to go up 3 levels)
# e.g., "../../../agents/code-developer.md"
rel_from_base = file_path.relative_to(BASE_DIR)
rel_path = "../../../" + str(rel_from_base).replace('\\', '/')
return {
"name": name,
"description": description,
"source": rel_path # Relative from index/ dir (e.g., "../../../agents/...")
}
def build_command_relationships() -> Dict[str, Any]:
"""Build command relationship mappings."""
relationships = {
# Workflow planning commands
return {
"workflow:plan": {
"calls_internally": [
"workflow:session:start",
"workflow:tools:context-gather",
"workflow:tools:conflict-resolution",
"workflow:tools:task-generate-agent"
],
"calls_internally": ["workflow:session:start", "workflow:tools:context-gather", "workflow:tools:conflict-resolution", "workflow:tools:task-generate-agent"],
"next_steps": ["workflow:action-plan-verify", "workflow:status", "workflow:execute"],
"alternatives": ["workflow:tdd-plan"],
"prerequisites": []
},
"workflow:tdd-plan": {
"calls_internally": [
"workflow:session:start",
"workflow:tools:context-gather",
"workflow:tools:task-generate-tdd"
],
"calls_internally": ["workflow:session:start", "workflow:tools:context-gather", "workflow:tools:task-generate-tdd"],
"next_steps": ["workflow:tdd-verify", "workflow:status", "workflow:execute"],
"alternatives": ["workflow:plan"],
"prerequisites": []
},
# Execution commands
"workflow:execute": {
"prerequisites": ["workflow:plan", "workflow:tdd-plan"],
"related": ["workflow:status", "workflow:resume"],
"next_steps": ["workflow:review", "workflow:tdd-verify"]
},
# Verification commands
"workflow:action-plan-verify": {
"prerequisites": ["workflow:plan"],
"next_steps": ["workflow:execute"],
@@ -182,8 +168,6 @@ def build_command_relationships() -> Dict[str, Any]:
"prerequisites": ["workflow:execute"],
"related": ["workflow:tools:tdd-coverage-analysis"]
},
# Session management
"workflow:session:start": {
"next_steps": ["workflow:plan", "workflow:execute"],
"related": ["workflow:session:list", "workflow:session:resume"]
@@ -192,95 +176,6 @@ def build_command_relationships() -> Dict[str, Any]:
"alternatives": ["workflow:resume"],
"related": ["workflow:session:list", "workflow:status"]
},
"workflow:resume": {
"alternatives": ["workflow:session:resume"],
"related": ["workflow:status"]
},
# Task management
"task:create": {
"next_steps": ["task:execute"],
"related": ["task:breakdown"]
},
"task:breakdown": {
"next_steps": ["task:execute"],
"related": ["task:create"]
},
"task:replan": {
"prerequisites": ["workflow:plan"],
"related": ["workflow:action-plan-verify"]
},
"task:execute": {
"prerequisites": ["task:create", "task:breakdown", "workflow:plan"],
"related": ["workflow:status"]
},
# Memory/Documentation
"memory:docs": {
"calls_internally": [
"workflow:session:start",
"workflow:tools:context-gather"
],
"next_steps": ["workflow:execute"]
},
"memory:skill-memory": {
"next_steps": ["workflow:plan", "cli:analyze"],
"related": ["memory:load-skill-memory"]
},
"memory:workflow-skill-memory": {
"related": ["memory:skill-memory"],
"next_steps": ["workflow:plan"]
},
# CLI modes
"cli:execute": {
"alternatives": ["cli:codex-execute"],
"related": ["cli:analyze", "cli:chat"]
},
"cli:analyze": {
"related": ["cli:chat", "cli:mode:code-analysis"],
"next_steps": ["cli:execute"]
},
# Brainstorming
"workflow:brainstorm:artifacts": {
"next_steps": ["workflow:brainstorm:synthesis", "workflow:plan"],
"related": ["workflow:brainstorm:auto-parallel"]
},
"workflow:brainstorm:synthesis": {
"prerequisites": ["workflow:brainstorm:artifacts"],
"next_steps": ["workflow:plan"]
},
"workflow:brainstorm:auto-parallel": {
"next_steps": ["workflow:brainstorm:synthesis", "workflow:plan"],
"related": ["workflow:brainstorm:artifacts"]
},
# Test workflows
"workflow:test-gen": {
"prerequisites": ["workflow:execute"],
"next_steps": ["workflow:test-cycle-execute"]
},
"workflow:test-fix-gen": {
"alternatives": ["workflow:test-gen"],
"next_steps": ["workflow:test-cycle-execute"]
},
"workflow:test-cycle-execute": {
"prerequisites": ["workflow:test-gen", "workflow:test-fix-gen"],
"related": ["workflow:tdd-verify"]
},
# UI Design workflows
"workflow:ui-design:explore-auto": {
"calls_internally": ["workflow:ui-design:capture", "workflow:ui-design:style-extract", "workflow:ui-design:layout-extract"],
"next_steps": ["workflow:ui-design:generate"]
},
"workflow:ui-design:imitate-auto": {
"calls_internally": ["workflow:ui-design:capture"],
"next_steps": ["workflow:ui-design:generate"]
},
# Lite workflows
"workflow:lite-plan": {
"calls_internally": ["workflow:lite-execute"],
"next_steps": ["workflow:lite-execute", "workflow:status"],
@@ -296,114 +191,59 @@ def build_command_relationships() -> Dict[str, Any]:
"prerequisites": ["workflow:lite-plan", "workflow:lite-fix"],
"related": ["workflow:execute", "workflow:status"]
},
# Review cycle workflows
"workflow:review-module-cycle": {
"next_steps": ["workflow:review-fix"],
"related": ["workflow:review-session-cycle", "workflow:review"]
},
"workflow:review-session-cycle": {
"prerequisites": ["workflow:execute"],
"next_steps": ["workflow:review-fix"],
"related": ["workflow:review-module-cycle", "workflow:review"]
"related": ["workflow:review-module-cycle"]
},
"workflow:review-fix": {
"prerequisites": ["workflow:review-module-cycle", "workflow:review-session-cycle"],
"related": ["workflow:test-cycle-execute"]
},
"memory:docs": {
"calls_internally": ["workflow:session:start", "workflow:tools:context-gather"],
"next_steps": ["workflow:execute"]
},
"memory:skill-memory": {
"next_steps": ["workflow:plan", "cli:analyze"],
"related": ["memory:load-skill-memory"]
}
}
return relationships
def sync_reference_directory():
"""Sync reference directory with source directories."""
print("\n=== Syncing Reference Directory ===")
# Step 1: Delete all files in reference directory
if REFERENCE_DIR.exists():
print(f"Deleting existing reference directory: {REFERENCE_DIR}")
shutil.rmtree(REFERENCE_DIR)
# Step 2: Create reference directory structure
REFERENCE_DIR.mkdir(parents=True, exist_ok=True)
print(f"Created reference directory: {REFERENCE_DIR}")
# Step 3: Copy agents directory
agents_target = REFERENCE_DIR / "agents"
if AGENTS_DIR.exists():
print(f"Copying {AGENTS_DIR} -> {agents_target}")
shutil.copytree(AGENTS_DIR, agents_target)
agent_files = list(agents_target.rglob("*.md"))
print(f" Copied {len(agent_files)} agent files")
else:
print(f" WARNING: Source directory not found: {AGENTS_DIR}")
# Step 4: Copy commands directory
commands_target = REFERENCE_DIR / "commands"
if COMMANDS_DIR.exists():
print(f"Copying {COMMANDS_DIR} -> {commands_target}")
shutil.copytree(COMMANDS_DIR, commands_target)
command_files = list(commands_target.rglob("*.md"))
print(f" Copied {len(command_files)} command files")
else:
print(f" WARNING: Source directory not found: {COMMANDS_DIR}")
print("Reference directory sync completed\n")
def identify_essential_commands(all_commands: List[Dict]) -> List[Dict]:
"""Identify the most essential commands for beginners."""
# Essential command names (14 most important) - use full command paths
essential_names = [
"workflow:lite-plan",
"workflow:lite-fix",
"workflow:plan",
"workflow:execute",
"workflow:status",
"workflow:session:start",
"workflow:review-session-cycle",
"cli:analyze",
"cli:chat",
"memory:docs",
"workflow:brainstorm:artifacts",
"workflow:action-plan-verify",
"workflow:resume",
"version"
"workflow:lite-plan", "workflow:lite-fix", "workflow:plan",
"workflow:execute", "workflow:status", "workflow:session:start",
"workflow:review-session-cycle", "cli:analyze", "cli:chat",
"memory:docs", "workflow:brainstorm:artifacts",
"workflow:action-plan-verify", "workflow:resume", "version"
]
essential = []
for cmd in all_commands:
# Check command name without leading slash
cmd_name = cmd['command'].lstrip('/')
if cmd_name in essential_names:
essential.append(cmd)
# Sort by order in essential_names
essential.sort(key=lambda x: essential_names.index(x['command'].lstrip('/')))
return essential[:14] # Limit to 14
essential.sort(key=lambda x: essential_names.index(x['command'].lstrip('/')) if x['command'].lstrip('/') in essential_names else 999)
return essential[:14]
def main():
"""Main analysis function."""
import sys
import io
# Fix Windows console encoding
if sys.platform == 'win32':
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
print("=== Command Guide Index Rebuild ===\n")
print("=== CCW-Help Index Rebuild ===\n")
# Step 1: Sync reference directory
sync_reference_directory()
# Step 2: Analyze command files
# Analyze command files
print("=== Analyzing Command Files ===")
# Find all command files
command_files = list(COMMANDS_DIR.rglob("*.md"))
print(f"Found {len(command_files)} command files")
# Analyze each command
all_commands = []
for cmd_file in sorted(command_files):
try:
@@ -413,7 +253,21 @@ def main():
except Exception as e:
print(f" ERROR analyzing {cmd_file}: {e}")
print(f"\nAnalyzed {len(all_commands)} commands")
# Analyze agent files
print("\n=== Analyzing Agent Files ===")
agent_files = list(AGENTS_DIR.rglob("*.md"))
print(f"Found {len(agent_files)} agent files")
all_agents = []
for agent_file in sorted(agent_files):
try:
metadata = analyze_agent_file(agent_file)
all_agents.append(metadata)
print(f" OK {metadata['name']}")
except Exception as e:
print(f" ERROR analyzing {agent_file}: {e}")
print(f"\nAnalyzed {len(all_commands)} commands, {len(all_agents)} agents")
# Generate index files
INDEX_DIR.mkdir(parents=True, exist_ok=True)
@@ -422,9 +276,15 @@ def main():
all_commands_path = INDEX_DIR / "all-commands.json"
with open(all_commands_path, 'w', encoding='utf-8') as f:
json.dump(all_commands, f, indent=2, ensure_ascii=False)
print(f"\nOK Generated {all_commands_path} ({os.path.getsize(all_commands_path)} bytes)")
print(f"\nOK Generated {all_commands_path.name} ({os.path.getsize(all_commands_path)} bytes)")
# 2. by-category.json
# 2. all-agents.json
all_agents_path = INDEX_DIR / "all-agents.json"
with open(all_agents_path, 'w', encoding='utf-8') as f:
json.dump(all_agents, f, indent=2, ensure_ascii=False)
print(f"OK Generated {all_agents_path.name} ({os.path.getsize(all_agents_path)} bytes)")
# 3. by-category.json
by_category = defaultdict(lambda: defaultdict(list))
for cmd in all_commands:
cat = cmd['category']
@@ -434,9 +294,9 @@ def main():
by_category_path = INDEX_DIR / "by-category.json"
with open(by_category_path, 'w', encoding='utf-8') as f:
json.dump(dict(by_category), f, indent=2, ensure_ascii=False)
print(f"OK Generated {by_category_path} ({os.path.getsize(by_category_path)} bytes)")
print(f"OK Generated {by_category_path.name} ({os.path.getsize(by_category_path)} bytes)")
# 3. by-use-case.json
# 4. by-use-case.json
by_use_case = defaultdict(list)
for cmd in all_commands:
by_use_case[cmd['usage_scenario']].append(cmd)
@@ -444,59 +304,34 @@ def main():
by_use_case_path = INDEX_DIR / "by-use-case.json"
with open(by_use_case_path, 'w', encoding='utf-8') as f:
json.dump(dict(by_use_case), f, indent=2, ensure_ascii=False)
print(f"OK Generated {by_use_case_path} ({os.path.getsize(by_use_case_path)} bytes)")
print(f"OK Generated {by_use_case_path.name} ({os.path.getsize(by_use_case_path)} bytes)")
# 4. essential-commands.json
# 5. essential-commands.json
essential = identify_essential_commands(all_commands)
essential_path = INDEX_DIR / "essential-commands.json"
with open(essential_path, 'w', encoding='utf-8') as f:
json.dump(essential, f, indent=2, ensure_ascii=False)
print(f"OK Generated {essential_path} ({os.path.getsize(essential_path)} bytes)")
print(f"OK Generated {essential_path.name} ({os.path.getsize(essential_path)} bytes)")
# 5. command-relationships.json
# 6. command-relationships.json
relationships = build_command_relationships()
relationships_path = INDEX_DIR / "command-relationships.json"
with open(relationships_path, 'w', encoding='utf-8') as f:
json.dump(relationships, f, indent=2, ensure_ascii=False)
print(f"OK Generated {relationships_path} ({os.path.getsize(relationships_path)} bytes)")
print(f"OK Generated {relationships_path.name} ({os.path.getsize(relationships_path)} bytes)")
# Print summary statistics
print("\n=== Summary Statistics ===")
# Reference directory statistics
if REFERENCE_DIR.exists():
ref_agents = list((REFERENCE_DIR / "agents").rglob("*.md")) if (REFERENCE_DIR / "agents").exists() else []
ref_commands = list((REFERENCE_DIR / "commands").rglob("*.md")) if (REFERENCE_DIR / "commands").exists() else []
print(f"\nReference directory:")
print(f" Agents: {len(ref_agents)} files")
print(f" Commands: {len(ref_commands)} files")
print(f" Total: {len(ref_agents) + len(ref_commands)} files")
print(f"\nTotal commands indexed: {len(all_commands)}")
# Print summary
print("\n=== Summary ===")
print(f"Commands: {len(all_commands)}")
print(f"Agents: {len(all_agents)}")
print(f"Essential: {len(essential)}")
print(f"\nBy category:")
for cat in sorted(by_category.keys()):
total = sum(len(cmds) for cmds in by_category[cat].values())
print(f" {cat}: {total}")
for subcat in sorted(by_category[cat].keys()):
if subcat != '_root':
print(f" - {subcat}: {len(by_category[cat][subcat])}")
print(f"\nBy usage scenario:")
for scenario in sorted(by_use_case.keys()):
print(f" {scenario}: {len(by_use_case[scenario])}")
print(f"\nBy difficulty:")
difficulty_counts = defaultdict(int)
for cmd in all_commands:
difficulty_counts[cmd['difficulty']] += 1
for difficulty in ['Beginner', 'Intermediate', 'Advanced']:
print(f" {difficulty}: {difficulty_counts[difficulty]}")
print(f"\nEssential commands: {len(essential)}")
print("\n=== Index Rebuild Complete ===")
print(f"Reference: {REFERENCE_DIR}")
print(f"Index: {INDEX_DIR}")
print(f"\nIndex: {INDEX_DIR}")
print("=== Complete ===")
if __name__ == '__main__':
main()

352
.claude/skills/ccw/SKILL.md Normal file
View File

@@ -0,0 +1,352 @@
---
name: ccw
description: Stateless workflow orchestrator. Auto-selects optimal workflow based on task intent. Triggers "ccw", "workflow".
allowed-tools: Task(*), SlashCommand(*), AskUserQuestion(*), Read(*), Bash(*), Grep(*), TodoWrite(*)
---
# CCW - Claude Code Workflow Orchestrator
无状态工作流协调器,根据任务意图自动选择最优工作流。
## Architecture
```
┌─────────────────────────────────────────────────────────────────┐
│ CCW Orchestrator (CLI-Enhanced + Requirement Analysis) │
├─────────────────────────────────────────────────────────────────┤
│ Phase 1 │ Input Analysis (rule-based, fast path) │
│ Phase 1.5 │ CLI Classification (semantic, smart path) │
│ Phase 1.75 │ Requirement Clarification (clarity < 2) │
│ Phase 2 │ Chain Selection (intent → workflow) │
│ Phase 2.5 │ CLI Action Planning (high complexity) │
│ Phase 3 │ User Confirmation (optional) │
│ Phase 4 │ TODO Tracking Setup │
│ Phase 5 │ Execution Loop │
└─────────────────────────────────────────────────────────────────┘
```
## Intent Classification
### Priority Order
| Priority | Intent | Patterns | Flow |
|----------|--------|----------|------|
| 1 | bugfix/hotfix | `urgent,production,critical` + bug | `bugfix.hotfix` |
| 1 | bugfix | `fix,bug,error,crash,fail` | `bugfix.standard` |
| 2 | issue batch | `issues,batch` + `fix,resolve` | `issue` |
| 3 | exploration | `不确定,explore,研究,what if` | `full` |
| 3 | multi-perspective | `多视角,权衡,比较方案,cross-verify` | `multi-cli-plan` |
| 4 | quick-task | `快速,简单,small,quick` + feature | `lite-lite-lite` |
| 5 | ui design | `ui,design,component,style` | `ui` |
| 6 | tdd | `tdd,test-driven,先写测试` | `tdd` |
| 7 | review | `review,审查,code review` | `review-fix` |
| 8 | documentation | `文档,docs,readme` | `docs` |
| 99 | feature | complexity-based | `rapid`/`coupled` |
### Complexity Assessment
```javascript
function assessComplexity(text) {
let score = 0
if (/refactor|重构|migrate|迁移|architect|架构|system|系统/.test(text)) score += 2
if (/multiple|多个|across|跨|all|所有|entire|整个/.test(text)) score += 2
if (/integrate|集成|api|database|数据库/.test(text)) score += 1
if (/security|安全|performance|性能|scale|扩展/.test(text)) score += 1
return score >= 4 ? 'high' : score >= 2 ? 'medium' : 'low'
}
```
| Complexity | Flow |
|------------|------|
| high | `coupled` (plan → verify → execute) |
| medium/low | `rapid` (lite-plan → lite-execute) |
### Dimension Extraction (WHAT/WHERE/WHY/HOW)
从用户输入提取四个维度,用于需求澄清和工作流选择:
| 维度 | 提取内容 | 示例模式 |
|------|----------|----------|
| **WHAT** | action + target | `创建/修复/重构/优化/分析` + 目标对象 |
| **WHERE** | scope + paths | `file/module/system` + 文件路径 |
| **WHY** | goal + motivation | `为了.../因为.../目的是...` |
| **HOW** | constraints + preferences | `必须.../不要.../应该...` |
**Clarity Score** (0-3):
- +0.5: 有明确 action
- +0.5: 有具体 target
- +0.5: 有文件路径
- +0.5: scope 不是 unknown
- +0.5: 有明确 goal
- +0.5: 有约束条件
- -0.5: 包含不确定词 (`不知道/maybe/怎么`)
### Requirement Clarification
`clarity_score < 2` 时触发需求澄清:
```javascript
if (dimensions.clarity_score < 2) {
const questions = generateClarificationQuestions(dimensions)
// 生成问题:目标是什么? 范围是什么? 有什么约束?
AskUserQuestion({ questions })
}
```
**澄清问题类型**:
- 目标不明确 → "你想要对什么进行操作?"
- 范围不明确 → "操作的范围是什么?"
- 目的不明确 → "这个操作的主要目标是什么?"
- 复杂操作 → "有什么特殊要求或限制?"
## TODO Tracking Protocol
### CRITICAL: Append-Only Rule
CCW 创建的 Todo **必须附加到现有列表**,不能覆盖用户的其他 Todo。
### Implementation
```javascript
// 1. 使用 CCW 前缀隔离工作流 todo
const prefix = `CCW:${flowName}`
// 2. 创建新 todo 时使用前缀格式
TodoWrite({
todos: [
...existingNonCCWTodos, // 保留用户的 todo
{ content: `${prefix}: [1/N] /command:step1`, status: "in_progress", activeForm: "..." },
{ content: `${prefix}: [2/N] /command:step2`, status: "pending", activeForm: "..." }
]
})
// 3. 更新状态时只修改匹配前缀的 todo
```
### Todo Format
```
CCW:{flow}: [{N}/{Total}] /command:name
```
### Visual Example
```
✓ CCW:rapid: [1/2] /workflow:lite-plan
→ CCW:rapid: [2/2] /workflow:lite-execute
用户自己的 todo保留不动
```
### Status Management
- 开始工作流:创建所有步骤 todo第一步 `in_progress`
- 完成步骤:当前步骤 `completed`,下一步 `in_progress`
- 工作流结束:所有 CCW todo 标记 `completed`
## Execution Flow
```javascript
// 1. Check explicit command
if (input.startsWith('/workflow:') || input.startsWith('/issue:')) {
SlashCommand(input)
return
}
// 2. Classify intent
const intent = classifyIntent(input) // See command.json intent_rules
// 3. Select flow
const flow = selectFlow(intent) // See command.json flows
// 4. Create todos with CCW prefix
createWorkflowTodos(flow)
// 5. Dispatch first command
SlashCommand(flow.steps[0].command, args: input)
```
## CLI Tool Integration
CCW 在特定条件下自动注入 CLI 调用:
| Condition | CLI Inject |
|-----------|------------|
| 大量代码上下文 (≥50k chars) | `gemini --mode analysis` |
| 高复杂度任务 | `gemini --mode analysis` |
| Bug 诊断 | `gemini --mode analysis` |
| 多任务执行 (≥3 tasks) | `codex --mode write` |
### CLI Enhancement Phases
**Phase 1.5: CLI-Assisted Classification**
当规则匹配不明确时,使用 CLI 辅助分类:
| 触发条件 | 说明 |
|----------|------|
| matchCount < 2 | 多个意图模式匹配 |
| complexity = high | 高复杂度任务 |
| input > 100 chars | 长输入需要语义理解 |
**Phase 2.5: CLI-Assisted Action Planning**
高复杂度任务的工作流优化:
| 触发条件 | 说明 |
|----------|------|
| complexity = high | 高复杂度任务 |
| steps >= 3 | 多步骤工作流 |
| input > 200 chars | 复杂需求描述 |
CLI 可返回建议:`use_default` | `modify` (调整步骤) | `upgrade` (升级工作流)
## Continuation Commands
工作流执行中的用户控制命令:
| 命令 | 作用 |
|------|------|
| `continue` | 继续执行下一步 |
| `skip` | 跳过当前步骤 |
| `abort` | 终止工作流 |
| `/workflow:*` | 切换到指定命令 |
| 自然语言 | 重新分析意图 |
## Workflow Flow Details
### Issue Workflow (两阶段生命周期)
Issue 工作流设计为两阶段生命周期,支持在项目迭代过程中积累问题并集中解决。
**Phase 1: Accumulation (积累阶段)**
- 触发:任务完成后的 review、代码审查发现、测试失败
- 活动需求扩展、bug 分析、测试覆盖、安全审查
- 命令:`/issue:discover`, `/issue:discover-by-prompt`, `/issue:new`
**Phase 2: Batch Resolution (批量解决阶段)**
- 触发:积累足够 issue 后的集中处理
- 流程plan → queue → execute
- 命令:`/issue:plan --all-pending``/issue:queue``/issue:execute`
```
任务完成 → discover → 积累 issue → ... → plan all → queue → parallel execute
↑ ↓
└────── 迭代循环 ───────┘
```
### lite-lite-lite vs multi-cli-plan
| 维度 | lite-lite-lite | multi-cli-plan |
|------|---------------|----------------|
| **产物** | 无文件 | IMPL_PLAN.md + plan.json + synthesis.json |
| **状态** | 无状态 | 持久化 session |
| **CLI选择** | 自动分析任务类型选择 | 配置驱动 |
| **迭代** | 通过 AskUser | 多轮收敛 |
| **执行** | 直接执行 | 通过 lite-execute |
| **适用** | 快速修复、简单功能 | 复杂多步骤实现 |
**选择指南**
- 任务清晰、改动范围小 → `lite-lite-lite`
- 需要多视角分析、复杂架构 → `multi-cli-plan`
### multi-cli-plan vs lite-plan
| 维度 | multi-cli-plan | lite-plan |
|------|---------------|-----------|
| **上下文** | ACE 语义搜索 | 手动文件模式 |
| **分析** | 多 CLI 交叉验证 | 单次规划 |
| **迭代** | 多轮直到收敛 | 单轮 |
| **置信度** | 高 (共识驱动) | 中 (单一视角) |
| **适用** | 需要多视角的复杂任务 | 直接明确的实现 |
**选择指南**
- 需求明确、路径清晰 → `lite-plan`
- 需要权衡、多方案比较 → `multi-cli-plan`
## Artifact Flow Protocol
工作流产出的自动流转机制,支持不同格式产出间的意图提取和完成度判断。
### 产出格式
| 命令 | 产出位置 | 格式 | 关键字段 |
|------|----------|------|----------|
| `/workflow:lite-plan` | memory://plan | structured_plan | tasks, files, dependencies |
| `/workflow:plan` | .workflow/{session}/IMPL_PLAN.md | markdown_plan | phases, tasks, risks |
| `/workflow:execute` | execution_log.json | execution_report | completed_tasks, errors |
| `/workflow:test-cycle-execute` | test_results.json | test_report | pass_rate, failures, coverage |
| `/workflow:review-session-cycle` | review_report.md | review_report | findings, severity_counts |
### 意图提取 (Intent Extraction)
流转到下一步时,自动提取关键信息:
```
plan → execute:
提取: tasks (未完成), priority_order, files_to_modify, context_summary
execute → test:
提取: modified_files, test_scope (推断), pending_verification
test → fix:
条件: pass_rate < 0.95
提取: failures, error_messages, affected_files, suggested_fixes
review → fix:
条件: critical > 0 OR high > 3
提取: findings (critical/high), fix_priority, affected_files
```
### 完成度判断
**Test 完成度路由**:
```
pass_rate >= 0.95 AND coverage >= 0.80 → complete
pass_rate >= 0.95 AND coverage < 0.80 → add_more_tests
pass_rate >= 0.80 → fix_failures_then_continue
pass_rate < 0.80 → major_fix_required
```
**Review 完成度路由**:
```
critical == 0 AND high <= 3 → complete_or_optional_fix
critical > 0 → mandatory_fix
high > 3 → recommended_fix
```
### 流转决策模式
**plan_execute_test**:
```
plan → execute → test
↓ (if test fail)
extract_failures → fix → test (max 3 iterations)
↓ (if still fail)
manual_intervention
```
**iterative_improvement**:
```
execute → test → fix → test → ...
loop until: pass_rate >= 0.95 OR iterations >= 3
```
### 使用示例
```javascript
// 执行完成后,根据产出决定下一步
const result = await execute(plan)
// 提取意图流转到测试
const testContext = extractIntent('execute_to_test', result)
// testContext = { modified_files, test_scope, pending_verification }
// 测试完成后,根据完成度决定路由
const testResult = await test(testContext)
const nextStep = evaluateCompletion('test', testResult)
// nextStep = 'fix_failures_then_continue' if pass_rate = 0.85
```
## Reference
- [command.json](command.json) - 命令元数据、Flow 定义、意图规则、Artifact Flow

View File

@@ -0,0 +1,547 @@
{
"_metadata": {
"version": "2.0.0",
"description": "Unified CCW command index with capabilities, flows, and intent rules"
},
"capabilities": {
"explore": {
"description": "Codebase exploration and context gathering",
"commands": ["/workflow:init", "/workflow:tools:gather", "/memory:load"],
"agents": ["cli-explore-agent", "context-search-agent"]
},
"brainstorm": {
"description": "Multi-perspective analysis and ideation",
"commands": ["/workflow:brainstorm:auto-parallel", "/workflow:brainstorm:artifacts", "/workflow:brainstorm:synthesis"],
"roles": ["product-manager", "system-architect", "ux-expert", "data-architect", "api-designer"]
},
"plan": {
"description": "Task planning and decomposition",
"commands": ["/workflow:lite-plan", "/workflow:plan", "/workflow:tdd-plan", "/task:create", "/task:breakdown"],
"agents": ["cli-lite-planning-agent", "action-planning-agent"]
},
"verify": {
"description": "Plan and quality verification",
"commands": ["/workflow:action-plan-verify", "/workflow:tdd-verify"]
},
"execute": {
"description": "Task execution and implementation",
"commands": ["/workflow:lite-execute", "/workflow:execute", "/task:execute"],
"agents": ["code-developer", "cli-execution-agent", "universal-executor"]
},
"bugfix": {
"description": "Bug diagnosis and fixing",
"commands": ["/workflow:lite-fix"],
"agents": ["code-developer"]
},
"test": {
"description": "Test generation and execution",
"commands": ["/workflow:test-gen", "/workflow:test-fix-gen", "/workflow:test-cycle-execute"],
"agents": ["test-fix-agent"]
},
"review": {
"description": "Code review and quality analysis",
"commands": ["/workflow:review-session-cycle", "/workflow:review-module-cycle", "/workflow:review", "/workflow:review-fix"]
},
"issue": {
"description": "Issue lifecycle management - discover, accumulate, batch resolve",
"commands": ["/issue:new", "/issue:discover", "/issue:discover-by-prompt", "/issue:plan", "/issue:queue", "/issue:execute", "/issue:manage"],
"agents": ["issue-plan-agent", "issue-queue-agent", "cli-explore-agent"],
"lifecycle": {
"accumulation": {
"description": "任务完成后进行需求扩展、bug分析、测试发现",
"triggers": ["post-task review", "code review findings", "test failures"],
"commands": ["/issue:discover", "/issue:discover-by-prompt", "/issue:new"]
},
"batch_resolution": {
"description": "积累的issue集中规划和并行执行",
"flow": ["plan", "queue", "execute"],
"commands": ["/issue:plan --all-pending", "/issue:queue", "/issue:execute"]
}
}
},
"ui-design": {
"description": "UI design and prototyping",
"commands": ["/workflow:ui-design:explore-auto", "/workflow:ui-design:imitate-auto", "/workflow:ui-design:design-sync"],
"agents": ["ui-design-agent"]
},
"memory": {
"description": "Documentation and knowledge management",
"commands": ["/memory:docs", "/memory:update-related", "/memory:update-full", "/memory:skill-memory"],
"agents": ["doc-generator", "memory-bridge"]
}
},
"flows": {
"rapid": {
"name": "Rapid Iteration",
"description": "多模型协作分析 + 直接执行",
"complexity": ["low", "medium"],
"steps": [
{ "command": "/workflow:lite-plan", "optional": false, "auto_continue": true },
{ "command": "/workflow:lite-execute", "optional": false }
],
"cli_hints": {
"explore_phase": { "tool": "gemini", "mode": "analysis", "trigger": "needs_exploration" },
"execution": { "tool": "codex", "mode": "write", "trigger": "complexity >= medium" }
},
"estimated_time": "15-45 min"
},
"full": {
"name": "Full Exploration",
"description": "头脑风暴 + 规划 + 执行",
"complexity": ["medium", "high"],
"steps": [
{ "command": "/workflow:brainstorm:auto-parallel", "optional": false, "confirm_before": true },
{ "command": "/workflow:plan", "optional": false },
{ "command": "/workflow:action-plan-verify", "optional": true, "auto_continue": true },
{ "command": "/workflow:execute", "optional": false }
],
"cli_hints": {
"role_analysis": { "tool": "gemini", "mode": "analysis", "trigger": "always", "parallel": true },
"execution": { "tool": "codex", "mode": "write", "trigger": "task_count >= 3" }
},
"estimated_time": "1-3 hours"
},
"coupled": {
"name": "Coupled Planning",
"description": "完整规划 + 验证 + 执行",
"complexity": ["high"],
"steps": [
{ "command": "/workflow:plan", "optional": false },
{ "command": "/workflow:action-plan-verify", "optional": false, "auto_continue": true },
{ "command": "/workflow:execute", "optional": false },
{ "command": "/workflow:review", "optional": true }
],
"cli_hints": {
"pre_analysis": { "tool": "gemini", "mode": "analysis", "trigger": "always" },
"execution": { "tool": "codex", "mode": "write", "trigger": "always" }
},
"estimated_time": "2-4 hours"
},
"bugfix": {
"name": "Bug Fix",
"description": "智能诊断 + 修复",
"complexity": ["low", "medium"],
"variants": {
"standard": [{ "command": "/workflow:lite-fix", "optional": false }],
"hotfix": [{ "command": "/workflow:lite-fix --hotfix", "optional": false }]
},
"cli_hints": {
"diagnosis": { "tool": "gemini", "mode": "analysis", "trigger": "always" },
"fix": { "tool": "codex", "mode": "write", "trigger": "severity >= medium" }
},
"estimated_time": "10-30 min"
},
"issue": {
"name": "Issue Lifecycle",
"description": "发现积累 → 批量规划 → 队列优化 → 并行执行",
"complexity": ["medium", "high"],
"phases": {
"accumulation": {
"description": "项目迭代中持续发现和积累issue",
"commands": ["/issue:discover", "/issue:new"],
"trigger": "post-task, code-review, test-failure"
},
"resolution": {
"description": "集中规划和执行积累的issue",
"steps": [
{ "command": "/issue:plan --all-pending", "optional": false },
{ "command": "/issue:queue", "optional": false },
{ "command": "/issue:execute", "optional": false }
]
}
},
"cli_hints": {
"discovery": { "tool": "gemini", "mode": "analysis", "trigger": "perspective_analysis", "parallel": true },
"solution_generation": { "tool": "gemini", "mode": "analysis", "trigger": "always", "parallel": true },
"batch_execution": { "tool": "codex", "mode": "write", "trigger": "always" }
},
"estimated_time": "1-4 hours"
},
"lite-lite-lite": {
"name": "Ultra-Lite Multi-CLI",
"description": "零文件 + 自动CLI选择 + 语义描述 + 直接执行",
"complexity": ["low", "medium"],
"steps": [
{ "phase": "clarify", "description": "需求澄清 (AskUser if needed)" },
{ "phase": "auto-select", "description": "任务分析 → 自动选择CLI组合" },
{ "phase": "multi-cli", "description": "并行多CLI分析" },
{ "phase": "decision", "description": "展示结果 → AskUser决策" },
{ "phase": "execute", "description": "直接执行 (无中间文件)" }
],
"vs_multi_cli_plan": {
"artifacts": "None vs IMPL_PLAN.md + plan.json + synthesis.json",
"session": "Stateless vs Persistent",
"cli_selection": "Auto-select based on task analysis vs Config-driven",
"iteration": "Via AskUser vs Via rounds/synthesis",
"execution": "Direct vs Via lite-execute",
"best_for": "Quick fixes, simple features vs Complex multi-step implementations"
},
"cli_hints": {
"analysis": { "tool": "auto", "mode": "analysis", "parallel": true },
"execution": { "tool": "auto", "mode": "write" }
},
"estimated_time": "10-30 min"
},
"multi-cli-plan": {
"name": "Multi-CLI Collaborative Planning",
"description": "ACE上下文 + 多CLI协作分析 + 迭代收敛 + 计划生成",
"complexity": ["medium", "high"],
"steps": [
{ "command": "/workflow:multi-cli-plan", "optional": false, "phases": [
"context_gathering: ACE语义搜索",
"multi_cli_discussion: cli-discuss-agent多轮分析",
"present_options: 展示解决方案",
"user_decision: 用户选择",
"plan_generation: cli-lite-planning-agent生成计划"
]},
{ "command": "/workflow:lite-execute", "optional": false }
],
"vs_lite_plan": {
"context": "ACE semantic search vs Manual file patterns",
"analysis": "Multi-CLI cross-verification vs Single-pass planning",
"iteration": "Multiple rounds until convergence vs Single round",
"confidence": "High (consensus-based) vs Medium (single perspective)",
"best_for": "Complex tasks needing multiple perspectives vs Straightforward implementations"
},
"agents": ["cli-discuss-agent", "cli-lite-planning-agent"],
"cli_hints": {
"discussion": { "tools": ["gemini", "codex", "claude"], "mode": "analysis", "parallel": true },
"planning": { "tool": "gemini", "mode": "analysis" }
},
"output": ".workflow/.multi-cli-plan/{session-id}/",
"estimated_time": "30-90 min"
},
"tdd": {
"name": "Test-Driven Development",
"description": "TDD规划 + 执行 + 验证",
"complexity": ["medium", "high"],
"steps": [
{ "command": "/workflow:tdd-plan", "optional": false },
{ "command": "/workflow:execute", "optional": false },
{ "command": "/workflow:tdd-verify", "optional": false }
],
"cli_hints": {
"test_strategy": { "tool": "gemini", "mode": "analysis", "trigger": "always" },
"red_green_refactor": { "tool": "codex", "mode": "write", "trigger": "always" }
},
"estimated_time": "1-3 hours"
},
"ui": {
"name": "UI-First Development",
"description": "UI设计 + 规划 + 执行",
"complexity": ["medium", "high"],
"variants": {
"explore": [
{ "command": "/workflow:ui-design:explore-auto", "optional": false },
{ "command": "/workflow:ui-design:design-sync", "optional": false, "auto_continue": true },
{ "command": "/workflow:plan", "optional": false },
{ "command": "/workflow:execute", "optional": false }
],
"imitate": [
{ "command": "/workflow:ui-design:imitate-auto", "optional": false },
{ "command": "/workflow:ui-design:design-sync", "optional": false, "auto_continue": true },
{ "command": "/workflow:plan", "optional": false },
{ "command": "/workflow:execute", "optional": false }
]
},
"estimated_time": "2-4 hours"
},
"review-fix": {
"name": "Review and Fix",
"description": "多维审查 + 自动修复",
"complexity": ["medium"],
"steps": [
{ "command": "/workflow:review-session-cycle", "optional": false },
{ "command": "/workflow:review-fix", "optional": true }
],
"cli_hints": {
"multi_dimension_review": { "tool": "gemini", "mode": "analysis", "trigger": "always", "parallel": true },
"auto_fix": { "tool": "codex", "mode": "write", "trigger": "findings_count >= 3" }
},
"estimated_time": "30-90 min"
},
"docs": {
"name": "Documentation",
"description": "批量文档生成",
"complexity": ["low", "medium"],
"variants": {
"incremental": [{ "command": "/memory:update-related", "optional": false }],
"full": [
{ "command": "/memory:docs", "optional": false },
{ "command": "/workflow:execute", "optional": false }
]
},
"estimated_time": "15-60 min"
}
},
"intent_rules": {
"bugfix": {
"priority": 1,
"variants": {
"hotfix": {
"patterns": ["hotfix", "urgent", "production", "critical", "emergency", "紧急", "生产环境", "线上"],
"flow": "bugfix.hotfix"
},
"standard": {
"patterns": ["fix", "bug", "error", "issue", "crash", "broken", "fail", "wrong", "修复", "错误", "崩溃"],
"flow": "bugfix.standard"
}
}
},
"issue_batch": {
"priority": 2,
"patterns": {
"batch": ["issues", "batch", "queue", "多个", "批量"],
"action": ["fix", "resolve", "处理", "解决"]
},
"require_both": true,
"flow": "issue"
},
"exploration": {
"priority": 3,
"patterns": ["不确定", "不知道", "explore", "研究", "分析一下", "怎么做", "what if", "探索"],
"flow": "full"
},
"ui_design": {
"priority": 4,
"patterns": ["ui", "界面", "design", "设计", "component", "组件", "style", "样式", "layout", "布局"],
"variants": {
"imitate": { "triggers": ["参考", "模仿", "像", "类似"], "flow": "ui.imitate" },
"explore": { "triggers": [], "flow": "ui.explore" }
}
},
"tdd": {
"priority": 5,
"patterns": ["tdd", "test-driven", "测试驱动", "先写测试", "test first"],
"flow": "tdd"
},
"review": {
"priority": 6,
"patterns": ["review", "审查", "检查代码", "code review", "质量检查"],
"flow": "review-fix"
},
"documentation": {
"priority": 7,
"patterns": ["文档", "documentation", "docs", "readme"],
"variants": {
"incremental": { "triggers": ["更新", "增量"], "flow": "docs.incremental" },
"full": { "triggers": ["全部", "完整"], "flow": "docs.full" }
}
},
"feature": {
"priority": 99,
"complexity_map": {
"high": "coupled",
"medium": "rapid",
"low": "rapid"
}
}
},
"complexity_indicators": {
"high": {
"threshold": 4,
"patterns": {
"architecture": { "keywords": ["refactor", "重构", "migrate", "迁移", "architect", "架构", "system", "系统"], "weight": 2 },
"multi_module": { "keywords": ["multiple", "多个", "across", "跨", "all", "所有", "entire", "整个"], "weight": 2 },
"integration": { "keywords": ["integrate", "集成", "api", "database", "数据库"], "weight": 1 },
"quality": { "keywords": ["security", "安全", "performance", "性能", "scale", "扩展"], "weight": 1 }
}
},
"medium": { "threshold": 2 },
"low": { "threshold": 0 }
},
"cli_tools": {
"gemini": {
"strengths": ["超长上下文", "深度分析", "架构理解", "执行流追踪"],
"triggers": ["分析", "理解", "设计", "架构", "诊断"],
"mode": "analysis"
},
"qwen": {
"strengths": ["代码模式识别", "多维度分析"],
"triggers": ["评估", "对比", "验证"],
"mode": "analysis"
},
"codex": {
"strengths": ["精确代码生成", "自主执行"],
"triggers": ["实现", "重构", "修复", "生成"],
"mode": "write"
}
},
"cli_injection_rules": {
"context_gathering": { "trigger": "file_read >= 50k OR module_count >= 5", "inject": "gemini --mode analysis" },
"pre_planning_analysis": { "trigger": "complexity === high", "inject": "gemini --mode analysis" },
"debug_diagnosis": { "trigger": "intent === bugfix AND root_cause_unclear", "inject": "gemini --mode analysis" },
"code_review": { "trigger": "step === review", "inject": "gemini --mode analysis" },
"implementation": { "trigger": "step === execute AND task_count >= 3", "inject": "codex --mode write" }
},
"artifact_flow": {
"_description": "定义工作流产出的格式、意图提取和流转规则",
"outputs": {
"/workflow:lite-plan": {
"artifact": "memory://plan",
"format": "structured_plan",
"fields": ["tasks", "files", "dependencies", "approach"]
},
"/workflow:plan": {
"artifact": ".workflow/{session}/IMPL_PLAN.md",
"format": "markdown_plan",
"fields": ["phases", "tasks", "dependencies", "risks", "test_strategy"]
},
"/workflow:multi-cli-plan": {
"artifact": ".workflow/.multi-cli-plan/{session}/",
"format": "multi_file",
"files": ["IMPL_PLAN.md", "plan.json", "synthesis.json"],
"fields": ["consensus", "divergences", "recommended_approach", "tasks"]
},
"/workflow:lite-execute": {
"artifact": "git_changes",
"format": "code_diff",
"fields": ["modified_files", "added_files", "deleted_files", "build_status"]
},
"/workflow:execute": {
"artifact": ".workflow/{session}/execution_log.json",
"format": "execution_report",
"fields": ["completed_tasks", "pending_tasks", "errors", "warnings"]
},
"/workflow:test-cycle-execute": {
"artifact": ".workflow/{session}/test_results.json",
"format": "test_report",
"fields": ["pass_rate", "failures", "coverage", "duration"]
},
"/workflow:review-session-cycle": {
"artifact": ".workflow/{session}/review_report.md",
"format": "review_report",
"fields": ["findings", "severity_counts", "recommendations"]
},
"/workflow:lite-fix": {
"artifact": "git_changes",
"format": "fix_report",
"fields": ["root_cause", "fix_applied", "files_modified", "verification_status"]
}
},
"intent_extraction": {
"plan_to_execute": {
"from": ["lite-plan", "plan", "multi-cli-plan"],
"to": ["lite-execute", "execute"],
"extract": {
"tasks": "$.tasks[] | filter(status != 'completed')",
"priority_order": "$.tasks | sort_by(priority)",
"files_to_modify": "$.tasks[].files | flatten | unique",
"dependencies": "$.dependencies",
"context_summary": "$.approach OR $.recommended_approach"
}
},
"execute_to_test": {
"from": ["lite-execute", "execute"],
"to": ["test-cycle-execute", "test-fix-gen"],
"extract": {
"modified_files": "$.modified_files",
"test_scope": "infer_from($.modified_files)",
"build_status": "$.build_status",
"pending_verification": "$.completed_tasks | needs_test"
}
},
"test_to_fix": {
"from": ["test-cycle-execute"],
"to": ["lite-fix", "review-fix"],
"condition": "$.pass_rate < 0.95",
"extract": {
"failures": "$.failures",
"error_messages": "$.failures[].message",
"affected_files": "$.failures[].file",
"suggested_fixes": "$.failures[].suggested_fix"
}
},
"review_to_fix": {
"from": ["review-session-cycle", "review-module-cycle"],
"to": ["review-fix"],
"condition": "$.severity_counts.critical > 0 OR $.severity_counts.high > 3",
"extract": {
"findings": "$.findings | filter(severity in ['critical', 'high'])",
"fix_priority": "$.findings | group_by(category) | sort_by(severity)",
"affected_files": "$.findings[].file | unique"
}
}
},
"completion_criteria": {
"plan": {
"required": ["has_tasks", "has_files"],
"optional": ["has_tests", "no_blocking_risks"],
"threshold": 0.8,
"routing": {
"complete": "proceed_to_execute",
"incomplete": "clarify_requirements"
}
},
"execute": {
"required": ["all_tasks_attempted", "no_critical_errors"],
"optional": ["build_passes", "lint_passes"],
"threshold": 1.0,
"routing": {
"complete": "proceed_to_test_or_review",
"partial": "continue_execution",
"failed": "diagnose_and_retry"
}
},
"test": {
"metrics": {
"pass_rate": { "target": 0.95, "minimum": 0.80 },
"coverage": { "target": 0.80, "minimum": 0.60 }
},
"routing": {
"pass_rate >= 0.95 AND coverage >= 0.80": "complete",
"pass_rate >= 0.95 AND coverage < 0.80": "add_more_tests",
"pass_rate >= 0.80": "fix_failures_then_continue",
"pass_rate < 0.80": "major_fix_required"
}
},
"review": {
"metrics": {
"critical_findings": { "target": 0, "maximum": 0 },
"high_findings": { "target": 0, "maximum": 3 }
},
"routing": {
"critical == 0 AND high <= 3": "complete_or_optional_fix",
"critical > 0": "mandatory_fix",
"high > 3": "recommended_fix"
}
}
},
"flow_decisions": {
"_description": "根据产出完成度决定下一步",
"patterns": {
"plan_execute_test": {
"sequence": ["plan", "execute", "test"],
"on_test_fail": {
"action": "extract_failures_and_fix",
"max_iterations": 3,
"fallback": "manual_intervention"
}
},
"plan_execute_review": {
"sequence": ["plan", "execute", "review"],
"on_review_issues": {
"action": "prioritize_and_fix",
"auto_fix_threshold": "severity < high"
}
},
"iterative_improvement": {
"sequence": ["execute", "test", "fix"],
"loop_until": "pass_rate >= 0.95 OR iterations >= 3",
"on_loop_exit": "report_status"
}
}
}
}
}

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@@ -1,388 +0,0 @@
---
name: command-guide
description: Workflow command guide for Claude Code Workflow (78 commands). Search/browse commands, get next-step recommendations, view documentation, report issues. Triggers "CCW-help", "CCW-issue", "ccw-help", "ccw-issue", "ccw"
allowed-tools: Read, Grep, Glob, AskUserQuestion
version: 5.8.0
---
# Command Guide Skill
Comprehensive command guide for Claude Code Workflow (CCW) system covering 78 commands across 5 categories (workflow, cli, memory, task, general).
## 🆕 What's New in v5.8.0
### Major Features
**🎨 UI Design Style Memory Workflow** (Primary Focus)
- **`/memory:style-skill-memory`** - Generate reusable SKILL packages from design systems
- **`/workflow:ui-design:codify-style`** - Extract design tokens from code with automatic file discovery
- **`/workflow:ui-design:reference-page-generator`** - Generate multi-component reference pages
- **Workflow**: Design extraction → Token documentation → SKILL package → Easy loading
**`/workflow:lite-plan`** - Intelligent Planning & Execution (Testing Phase)
- Dynamic workflow adaptation (smart exploration, adaptive planning, progressive clarification)
- Two-dimensional confirmation (task approval + execution method selection)
- Direct execution with live TodoWrite progress tracking
- Faster than `/workflow:plan` (1-3 min vs 5-10 min) for simple to medium tasks
**🗺️ `/memory:code-map-memory`** - Code Flow Mapping Generator (Testing Phase)
- Uses cli-explore-agent for deep code flow analysis with dual-source strategy
- Generates Mermaid diagrams for architecture, functions, data flow, conditional paths
- Creates feature-specific SKILL packages for code understanding
- Progressive loading (2K → 30K tokens) for efficient context management
### Agent
- **cli-explore-agent** - Specialized code exploration with Deep Scan mode (Bash + Gemini)
- **cli-planning-agent** - Enhanced task generation with improved context handling
- **ui-design-agent** - Major refactoring for better design system extraction
### Additional Improvements
- Enhanced brainstorming workflows with parallel execution
- Improved test workflow documentation and task attachment models
- Updated CLI tool default models (Gemini 2.5-pro)
## 🧠 Core Principle: Intelligent Integration
**⚠️ IMPORTANT**: This SKILL provides **reference materials** for intelligent integration, NOT templates for direct copying.
**Response Strategy**:
1. **Analyze user's specific context** - Understand their exact need, workflow stage, and technical level
2. **Extract relevant information** - Select only the pertinent parts from reference guides
3. **Synthesize and customize** - Combine multiple sources, add context-specific examples
4. **Deliver targeted response** - Provide concise, actionable guidance tailored to the user's situation
**Never**:
- ❌ Copy-paste entire template sections verbatim
- ❌ Return raw reference documentation without processing
- ❌ Provide generic responses that ignore user context
**Always**:
- ✅ Understand the user's specific situation first
- ✅ Integrate information from multiple sources (indexes, guides, reference docs)
- ✅ Customize examples and explanations to match user's use case
- ✅ Provide progressive depth - brief answers with "more detail available" prompts
---
## 🎯 Operation Modes
### Mode 1: Command Search 🔍
**When**: User searches by keyword, category, or use-case
**Triggers**: "搜索命令", "find command", "planning 相关", "search"
**Process**:
1. Identify search type (keyword/category/use-case)
2. Query appropriate index (all-commands/by-category/by-use-case)
3. **Intelligently filter and rank** results based on user's implied context
4. **Synthesize concise response** with command names, brief descriptions, and use-case fit
5. **Suggest next steps** - related commands or workflow patterns
**Example**: "搜索 planning 命令" → Analyze user's likely goal → Present top 3-5 most relevant planning commands with context-specific usage hints, NOT raw JSON dump
---
### Mode 2: Smart Recommendations 🤖
**When**: User asks for next steps after a command
**Triggers**: "下一步", "what's next", "after /workflow:plan", "推荐"
**Process**:
1. **Analyze workflow context** - Understand where user is in their development cycle
2. Query `index/command-relationships.json` for possible next commands
3. **Evaluate and prioritize** recommendations based on:
- User's stated goals
- Common workflow patterns
- Project complexity indicators
4. **Craft contextual guidance** - Explain WHY each recommendation fits, not just WHAT to run
5. **Provide workflow examples** - Show complete flow, not isolated commands
**Example**: "执行完 /workflow:plan 后做什么?" → Analyze plan output quality → Recommend `/workflow:action-plan-verify` (if complex) OR `/workflow:execute` (if straightforward) with reasoning for each choice
---
### Mode 3: Full Documentation 📖
**When**: User requests command details
**Triggers**: "参数说明", "怎么用", "how to use", "详情"
**Process**:
1. Locate command in `index/all-commands.json`
2. Read original command file for full details
3. **Extract user-relevant sections** - Focus on what they asked about (parameters OR examples OR workflow)
4. **Enhance with context** - Add use-case specific examples if user's scenario is clear
5. **Progressive disclosure** - Provide core info first, offer "need more details?" prompts
**Example**: "/workflow:plan 的参数是什么?" → Identify user's experience level → Present parameters with context-appropriate explanations (beginner: verbose + examples; advanced: concise + edge cases), NOT raw documentation dump
---
### Mode 4: Beginner Onboarding 🎓
**When**: New user needs guidance
**Triggers**: "新手", "getting started", "如何开始", "常用命令", **"从0到1"**, **"全新项目"**
**Process**:
1. **Assess user background** - Ask clarifying questions if needed (coding experience? project type?)
2. **⚠️ Identify project stage** - FROM-ZERO-TO-ONE vs FEATURE-ADDITION:
- **从0到1场景** (全新项目/产品/架构决策) → **MUST START with brainstorming workflow**
- **功能新增场景** (已有项目中添加功能) → Start with planning workflow
3. **Design personalized learning path** based on their goals and stage
4. **Curate essential commands** from `index/essential-commands.json` - Select 3-5 most relevant for their use case
5. **Provide guided first example** - Walk through ONE complete workflow with explanation, **emphasizing brainstorming for 0-to-1 scenarios**
6. **Set clear next steps** - What to try next, where to get help
**Example 1 (从0到1)**: "我是新手,如何开始全新项目?" → Identify as FROM-ZERO-TO-ONE → Emphasize brainstorming workflow (`/workflow:brainstorm:artifacts`) as mandatory first step → Explain brainstorm → plan → execute flow
**Example 2 (功能新增)**: "我是新手,如何在已有项目中添加功能?" → Identify as FEATURE-ADDITION → Guide to planning workflow (`/workflow:plan`) → Explain plan → execute → test flow
**Example 3 (探索)**: "我是新手,如何开始?" → Ask clarifying question: "是全新项目启动从0到1还是在已有项目中添加功能" → Based on answer, route to appropriate workflow
---
### Mode 5: Issue Reporting 📝
**When**: User wants to report issue or request feature
**Triggers**: **"CCW-issue"**, **"CCW-help"**, **"ccw-issue"**, **"ccw-help"**, **"ccw"**, "报告 bug", "功能建议", "问题咨询", "交互式诊断"
**Process**:
1. **Understand issue context** - Use AskUserQuestion to confirm type AND gather initial context
2. **Intelligently guide information collection**:
- Adapt questions based on previous answers
- Skip irrelevant sections
- Probe for missing critical details
3. **Select and customize template**:
- `issue-diagnosis.md`, `issue-bug.md`, `issue-feature.md`, or `issue-question.md`
- **Adapt template sections** to match user's specific scenario
4. **Synthesize coherent issue report**:
- Integrate collected information with appropriate template sections
- **Highlight key details** - Don't bury critical info in boilerplate
- Add privacy-protected command history
5. **Provide actionable next steps** - Immediate troubleshooting OR submission guidance
**Example**: "CCW-issue" → Detect user frustration level → For urgent: fast-track to critical info collection; For exploratory: comprehensive diagnostic flow, NOT one-size-fits-all questionnaire
**🆕 Enhanced Features**:
- Complete command history with privacy protection
- Interactive diagnostic checklists
- Decision tree navigation (diagnosis template)
- Execution environment capture
---
### Mode 6: Deep Command Analysis 🔬
**When**: User asks detailed questions about specific commands or agents
**Triggers**: "详细说明", "命令原理", "agent 如何工作", "实现细节", specific command/agent name mentioned
**Data Sources**:
- `reference/agents/*.md` - All agent documentation (11 agents)
- `reference/commands/**/*.md` - All command documentation (69 commands)
**Process**:
**Simple Query** (direct documentation lookup):
1. Identify target command/agent from user query
2. Locate corresponding markdown file in `reference/`
3. **Extract contextually relevant sections** - Not entire document
4. **Synthesize focused explanation**:
- Address user's specific question
- Add context-appropriate examples
- Link related concepts
5. **Offer progressive depth** - "Want to know more about X?"
**Complex Query** (CLI-assisted analysis):
1. **Detect complexity indicators** (多个命令对比、工作流程分析、最佳实践)
2. **Design targeted analysis prompt** for gemini/qwen:
- Frame user's question precisely
- Specify required analysis depth
- Request structured comparison/synthesis
```bash
gemini -p "
PURPOSE: Analyze command documentation to answer user query
TASK: [extracted user question with context]
MODE: analysis
CONTEXT: @**/*
EXPECTED: Comprehensive answer with examples and recommendations
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/02-analyze-code-patterns.txt) | Focus on practical usage | analysis=READ-ONLY
" -m gemini-3-pro-preview-11-2025 --include-directories ~/.claude/skills/command-guide/reference
```
Note: Use absolute path `~/.claude/skills/command-guide/reference` for reference documentation access
3. **Process and integrate CLI analysis**:
- Extract key insights from CLI output
- Add context-specific examples
- Synthesize actionable recommendations
4. **Deliver tailored response** - Not raw CLI output
**Query Classification**:
- **Simple**: Single command explanation, parameter list, basic usage
- **Complex**: Cross-command workflows, performance comparison, architectural analysis, best practices across multiple commands
**Examples**:
*Simple Query*:
```
User: "action-planning-agent 如何工作?"
→ Read reference/agents/action-planning-agent.md
→ **Identify user's knowledge gap** (mechanism? inputs/outputs? when to use?)
→ **Extract relevant sections** addressing their need
→ **Synthesize focused explanation** with examples
→ NOT: Dump entire agent documentation
```
*Complex Query*:
```
User: "对比 workflow:plan 和 workflow:tdd-plan 的使用场景和最佳实践"
→ Detect: 多命令对比 + 最佳实践
→ **Design comparison framework** (when to use, trade-offs, workflow integration)
→ Use gemini to analyze both commands with structured comparison prompt
→ **Synthesize insights** into decision matrix and usage guidelines
→ NOT: Raw command documentation side-by-side
```
---
## 📚 Index Files
All command metadata is stored in JSON indexes for fast querying:
- **all-commands.json** - Complete catalog (69 commands) with full metadata
- **by-category.json** - Hierarchical organization (workflow/cli/memory/task)
- **by-use-case.json** - Grouped by scenario (planning/implementation/testing/docs/session)
- **essential-commands.json** - Top 14 most-used commands
- **command-relationships.json** - Next-step recommendations and dependencies
📖 Detailed structure: [Index Structure Reference](guides/index-structure.md)
---
## 🗂️ Supporting Guides
- **[Getting Started](guides/getting-started.md)** - 5-minute quickstart for beginners
- **[Workflow Patterns](guides/workflow-patterns.md)** - Common workflow examples (Plan→Execute, TDD, UI design)
- **[CLI Tools Guide](guides/cli-tools-guide.md)** - Gemini/Qwen/Codex usage
- **[Troubleshooting](guides/troubleshooting.md)** - Common issues and solutions
- **[Implementation Details](guides/implementation-details.md)** - Detailed logic for each mode
- **[Usage Examples](guides/examples.md)** - Example dialogues and edge cases
## 📦 Reference Documentation
Complete backup of all command and agent documentation for deep analysis:
- **[reference/agents/](reference/agents/)** - 14 agent markdown files with implementation details
- **New in v5.8**: cli-explore-agent (code exploration), cli-planning-agent (enhanced)
- **[reference/commands/](reference/commands/)** - 78 command markdown files organized by category
- `cli/` - CLI tool commands (10 files) - **New**: document-analysis mode
- `memory/` - Memory management commands (12 files) - **New**: docs-full-cli, docs-related-cli, code-map-memory, style-skill-memory
- `task/` - Task management commands (4 files)
- `workflow/` - Workflow commands (50 files) - **New**: lite-plan, lite-fix, ui-design enhancements
**Installation Path**: `~/.claude/skills/command-guide/` (skill designed for global installation)
**Absolute Reference Path**: `~/.claude/skills/command-guide/reference/`
**Usage**: Mode 6 queries these files directly for detailed command/agent analysis, or uses CLI tools (gemini/qwen) with absolute paths for complex cross-command analysis.
---
## 🛠️ Issue Templates
Generate standardized GitHub issue templates with **execution flow emphasis**:
- **[Interactive Diagnosis](templates/issue-diagnosis.md)** - 🆕 Comprehensive diagnostic workflow with decision tree, checklists, and full command history
- **[Bug Report](templates/issue-bug.md)** - Report command errors with complete execution flow and environment details
- **[Feature Request](templates/issue-feature.md)** - Suggest improvements with current workflow analysis and pain points
- **[Question](templates/issue-question.md)** - Ask usage questions with detailed attempt history and context
**All templates now include**:
- ✅ Complete command history sections (with privacy protection)
- ✅ Execution environment details
- ✅ Interactive problem-locating checklists
- ✅ Structured troubleshooting guidance
Templates are auto-populated during Mode 5 (Issue Reporting) interaction.
---
## 📊 System Statistics
- **Total Commands**: 78
- **Total Agents**: 14
- **Categories**: 5 (workflow: 50, cli: 10, memory: 12, task: 4, general: 2)
- **Use Cases**: 7 (planning, implementation, testing, documentation, session-management, analysis, general)
- **Difficulty Levels**: 3 (Beginner, Intermediate, Advanced)
- **Essential Commands**: 13
- **Reference Docs**: 92 markdown files (14 agents + 78 commands)
---
## 🔧 Maintenance
### Updating Indexes
When commands are added/modified/removed:
```bash
cd /d/Claude_dms3/.claude/skills/command-guide
python scripts/analyze_commands.py
```
This script:
1. Scans all command files in `../../commands/`
2. Extracts metadata from YAML frontmatter
3. Analyzes command relationships
4. Regenerates all 5 index files
### Committing Updates
```bash
git add .claude/skills/command-guide/
git commit -m "docs: update command indexes"
git push
```
Team members get latest indexes via `git pull`.
---
## 📖 Related Documentation
- [Workflow Architecture](../../workflows/workflow-architecture.md) - System design overview
- [Intelligent Tools Strategy](../../workflows/intelligent-tools-strategy.md) - CLI tool selection
- [Context Search Strategy](../../workflows/context-search-strategy.md) - Search patterns
- [Task Core](../../workflows/task-core.md) - Task system fundamentals
---
## 🔄 Maintenance
### Documentation Updates
This SKILL documentation is kept in sync with command implementations through a standardized update process.
**Update Guideline**: See [UPDATE-GUIDELINE.md](UPDATE-GUIDELINE.md) for the complete documentation maintenance process.
**Update Process**:
1. **Analyze**: Identify changed commands/agents from git commits
2. **Extract**: Gather change information and impact assessment
3. **Update**: Sync reference docs, guides, and examples
4. **Regenerate**: Run `scripts/analyze_commands.py` to rebuild indexes
5. **Validate**: Test examples and verify consistency
6. **Commit**: Follow standardized commit message format
**Key Capabilities**:
- 6 operation modes (Search, Recommendations, Full Docs, Onboarding, Issue Reporting, Deep Analysis)
- 80 reference documentation files (11 agents + 69 commands)
- 5 JSON indexes for fast command lookup
- 8 comprehensive guides covering all workflow patterns
- 4 issue templates for standardized problem reporting
- CLI-assisted complex query analysis with gemini/qwen integration
**Maintainer**: CCW Team

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@@ -1,592 +0,0 @@
# Command Guide Update Guideline
## 📋 Purpose
This document defines a **standardized, repeatable process** for updating command-guide documentation when command changes are detected. Use this guideline every time you need to update command-guide SKILL documentation to ensure consistency and completeness.
---
## 🎯 Update Trigger Conditions
Execute this update process when ANY of the following conditions are met:
1. **New commands added** to `.claude/commands/`
2. **Command parameters changed** (new flags, modified behavior)
3. **Command architecture refactored** (workflow reorganization)
4. **Agent implementations updated** in `.claude/agents/`
5. **User explicitly requests** command-guide update
---
## 📊 Phase 1: Analysis & Discovery
### Step 1.1: Identify Changed Files
**Objective**: Discover what has changed since last update
**Actions**:
```bash
# Find recent commits affecting commands/agents
git log --oneline --since="<last-update-date>" --grep="command\|agent\|workflow" -20
# Show detailed changes
git diff <last-commit>..<current-commit> --stat .claude/commands/ .claude/agents/
# Identify modified command files
git diff <last-commit>..<current-commit> --name-only .claude/commands/
```
**Output**: List of changed files and commit messages
**Document**:
- Changed command files
- Changed agent files
- Key commit messages
- Change patterns (new features, refactoring, fixes)
---
### Step 1.2: Analyze Change Scope
**Objective**: Understand the nature and impact of changes
**Questions to Answer**:
1. **What changed?** (parameters, workflow, architecture, behavior)
2. **Why changed?** (new feature, optimization, bug fix, refactoring)
3. **Impact scope?** (single command, workflow pattern, system-wide)
4. **User-facing?** (affects user commands, internal only)
**Analysis Matrix**:
| Change Type | Detection Method | Impact Level |
|-------------|--------------------|--------------|
| **New Parameter** | Diff `argument-hint` field | Medium |
| **Workflow Reorganization** | Multiple command changes | High |
| **Architecture Change** | Agent file changes + command changes | High |
| **Bug Fix** | Single file, small change | Low |
| **New Command** | New file in `.claude/commands/` | Medium-High |
**Output**: Change classification and impact assessment
---
### Step 1.3: Map Affected Documentation
**Objective**: Identify which documentation files need updates
**Mapping Rules**:
**Command Changes** → Affects:
- `reference/commands/<category>/<command-name>.md` (copy from source)
- `index/all-commands.json` (regenerate)
- `index/by-category.json` (if new category)
- `guides/ui-design-workflow-guide.md` (if UI workflow affected)
- `guides/workflow-patterns.md` (if workflow pattern changed)
**Agent Changes** → Affects:
- `reference/agents/<agent-name>.md` (copy from source)
- `guides/implementation-details.md` (if agent behavior changed)
**Workflow Reorganization** → Affects:
- All related command references
- Workflow guides
- Examples in guides
**Output**: Checklist of files to update
---
## 🔧 Phase 2: Content Preparation
### Step 2.1: Extract Key Information
**Objective**: Gather information needed for documentation updates
**Extract from Git Commits**:
```bash
# Get commit details
git show <commit-hash> --stat
# Extract commit message
git log --format=%B -n 1 <commit-hash>
```
**Information to Extract**:
1. **Feature Name** (from commit message)
2. **Change Description** (what was added/modified/removed)
3. **Rationale** (why the change was made)
4. **New Parameters** (from diff)
5. **Breaking Changes** (backward compatibility impact)
6. **Usage Examples** (from commit or command file)
**Output**: Structured data for documentation
---
### Step 2.2: Categorize Changes
**Objective**: Organize changes into logical categories
**Categories**:
1. **Major Features**
- New commands
- New workflows
- Architecture changes
- User-facing feature additions
2. **Enhancements**
- New parameters
- Improved behavior
- Performance optimizations
- Better error handling
3. **Refactoring**
- Code reorganization (no user impact)
- Internal structure changes
- Consistency improvements
4. **Bug Fixes**
- Corrected behavior
- Fixed edge cases
- Parameter validation fixes
5. **Documentation**
- Updated descriptions
- New examples
- Clarified usage
**Output**: Changes grouped by category with priority
---
### Step 2.3: Analyze User Impact
**Objective**: Determine what users need to know
**User Impact Questions**:
1. **Do existing workflows break?** → Migration guide needed
2. **Are new features optional?** → Enhancement documentation
3. **Is behavior significantly different?** → Usage pattern updates
4. **Do examples need updates?** → Example refresh required
**Impact Levels**:
- **Critical** (Breaking changes, migration required)
- **Important** (New features users should adopt)
- **Nice-to-have** (Enhancements, optional)
- **Internal** (No user action needed)
**Output**: User-facing change summary with impact levels
---
## 📝 Phase 3: Documentation Updates
### Step 3.1: Update Reference Documentation
**Objective**: Sync reference docs with source command files
**Actions**:
1. **Run Python Script to Sync & Rebuild**:
```bash
cd /d/Claude_dms3/.claude/skills/command-guide
python scripts/analyze_commands.py
```
This script automatically:
- Deletes existing `reference/` directory
- Copies all agent files from `.claude/agents/` to `reference/agents/`
- Copies all command files from `.claude/commands/` to `reference/commands/`
- Regenerates all 5 index files with updated metadata
2. **Verify Completeness**:
- Check sync output for file counts (11 agents + 70 commands)
- Verify all 5 index files regenerated successfully
- Ensure YAML frontmatter integrity in copied files
**Output**: Updated reference documentation matching source + regenerated indexes
---
### Step 3.2: Update Workflow Guides
**Objective**: Reflect changes in user-facing workflow guides
**Workflow Guide Update Pattern**:
**IF** (UI workflow commands changed):
1. Open `guides/ui-design-workflow-guide.md`
2. Locate affected workflow pattern sections
3. Update examples to use new parameters/behavior
4. Add "New!" badges for new features
5. Update performance metrics if applicable
6. Add troubleshooting entries for new issues
**IF** (General workflow patterns changed):
1. Open `guides/workflow-patterns.md`
2. Update affected workflow examples
3. Add new pattern sections if applicable
**Update Template for New Features**:
```markdown
### [Feature Name] (New!)
**Purpose**: [What this feature enables]
**Usage**:
```bash
[Example command with new feature]
```
**Benefits**:
- [Benefit 1]
- [Benefit 2]
**When to Use**:
- [Use case 1]
- [Use case 2]
```
**Output**: Updated workflow guides with new features documented
---
### Step 3.3: Update Examples and Best Practices
**Objective**: Ensure examples reflect current best practices
**Example Update Checklist**:
- [ ] Remove deprecated parameter usage
- [ ] Add examples for new parameters
- [ ] Update command syntax if changed
- [ ] Verify all examples are runnable
- [ ] Add "Note" sections for common pitfalls
**Best Practices Update**:
- [ ] Add recommendations for new features
- [ ] Update "When to Use" guidelines
- [ ] Revise performance optimization tips
- [ ] Update troubleshooting entries
**Output**: Current, runnable examples
---
### Step 3.4: Update SKILL.md Metadata
**Objective**: Keep SKILL.md current without version-specific details
**Update Sections**:
1. **Supporting Guides** (if new guide added):
```markdown
- **[New Guide Name](guides/new-guide.md)** - Description
```
2. **System Statistics** (if counts changed):
```markdown
- **Total Commands**: <new-count>
- **Total Agents**: <new-count>
```
3. **Remove Old Changelog Entries**:
- Keep only last 3 changelog entries
- Archive older entries to separate file if needed
**DO NOT**:
- Add version numbers
- Add specific dates
- Create time-based changelog entries
**Output**: Updated SKILL.md metadata
---
## 🧪 Phase 4: Validation
### Step 4.1: Consistency Check
**Objective**: Ensure documentation is internally consistent
**Checklist**:
- [ ] All command references use correct names
- [ ] Parameter descriptions match command files
- [ ] Examples use valid parameter combinations
- [ ] Links between documents are not broken
- [ ] Index files reflect current command count
**Validation Commands**:
```bash
# Check for broken internal links
grep -r "\[.*\](.*\.md)" guides/ reference/ | grep -v "http"
# Verify command count consistency
actual=$(find ../../commands -name "*.md" | wc -l)
indexed=$(jq '.commands | length' index/all-commands.json)
echo "Actual: $actual, Indexed: $indexed"
```
**Output**: Validation report
---
### Step 4.2: Example Testing
**Objective**: Verify all examples are runnable
**Test Cases**:
- [ ] Copy example commands from guides
- [ ] Run in test environment
- [ ] Verify expected output
- [ ] Document any prerequisites
**Note**: Some examples may be illustrative only; mark these clearly
**Output**: Tested examples
---
### Step 4.3: Peer Review Checklist
**Objective**: Prepare documentation for review
**Review Points**:
- [ ] Is the change clearly explained?
- [ ] Are examples helpful and clear?
- [ ] Is migration guidance complete (if breaking)?
- [ ] Are troubleshooting tips adequate?
- [ ] Is the documentation easy to scan?
**Output**: Review-ready documentation
---
## 📤 Phase 5: Commit & Distribution
### Step 5.1: Git Commit Structure
**Objective**: Create clear, traceable commits
**Commit Pattern**:
```bash
git add .claude/skills/command-guide/
# Commit message format
git commit -m "docs(command-guide): update for <feature-name> changes
- Update reference docs for <changed-commands>
- Enhance <guide-name> with <feature> documentation
- Regenerate indexes (new count: <count>)
- Add troubleshooting for <new-issues>
Refs: <commit-hashes-of-source-changes>
"
```
**Commit Message Rules**:
- **Type**: `docs(command-guide)`
- **Scope**: Always `command-guide`
- **Summary**: Concise, imperative mood
- **Body**: Bullet points for each change type
- **Refs**: Link to source change commits
**Output**: Clean commit history
---
### Step 5.2: Update Distribution
**Objective**: Make updates available to users
**Actions**:
```bash
# Push to remote
git push origin main
# Verify GitHub reflects changes
# Check: https://github.com/<org>/<repo>/tree/main/.claude/skills/command-guide
```
**User Notification** (if breaking changes):
- Update project README
- Add note to main documentation
- Consider announcement in team channels
**Output**: Published updates
---
## 🔄 Phase 6: Iteration & Improvement
### Step 6.1: Gather Feedback
**Objective**: Improve documentation based on usage
**Feedback Sources**:
- User questions about changed commands
- Confusion points in examples
- Missing information requests
- Error reports
**Track**:
- Common questions → Add to troubleshooting
- Confusing examples → Simplify or expand
- Missing use cases → Add to guides
**Output**: Improvement backlog
---
### Step 6.2: Continuous Refinement
**Objective**: Keep documentation evolving
**Regular Tasks**:
- [ ] Review index statistics monthly
- [ ] Update examples with real-world usage
- [ ] Consolidate redundant sections
- [ ] Expand troubleshooting based on issues
- [ ] Refresh screenshots/outputs if UI changed
**Output**: Living documentation
---
## 📐 Update Decision Matrix
Use this matrix to determine update depth:
| Change Scope | Reference Docs | Workflow Guides | Examples | Indexes | Migration Guide |
|--------------|----------------|-----------------|----------|---------|-----------------|
| **New Parameter** | Update command file | Add parameter note | Add usage example | Regenerate | No |
| **Workflow Refactor** | Update all affected | Major revision | Update all examples | Regenerate | If breaking |
| **New Command** | Copy new file | Add workflow pattern | Add examples | Regenerate | No |
| **Architecture Change** | Update all affected | Major revision | Comprehensive update | Regenerate | Yes |
| **Bug Fix** | Update description | Add note if user-visible | Fix incorrect examples | No change | No |
| **New Feature** | Update affected files | Add feature section | Add feature examples | Regenerate | No |
---
## 🎯 Quality Gates
Before considering documentation update complete, verify:
### Gate 1: Completeness
- [ ] All changed commands have updated reference docs
- [ ] All new features are documented in guides
- [ ] All examples are current and correct
- [ ] Indexes reflect current state
### Gate 2: Clarity
- [ ] Non-expert can understand changes
- [ ] Examples demonstrate key use cases
- [ ] Migration path is clear (if breaking)
- [ ] Troubleshooting covers common issues
### Gate 3: Consistency
- [ ] Terminology is consistent across docs
- [ ] Parameter descriptions match everywhere
- [ ] Cross-references are accurate
- [ ] Formatting follows established patterns
### Gate 4: Accessibility
- [ ] Table of contents is current
- [ ] Search/navigation works
- [ ] Related docs are linked
- [ ] Issue templates reference new content
---
## 🚀 Quick Start Template
When updates are needed, follow this abbreviated workflow:
```bash
# 1. ANALYZE (5 min)
git log --oneline --since="<last-update>" --grep="command\|agent" -20
# → Identify what changed
# 2. EXTRACT (10 min)
git show <commit-hash> --stat
git diff <commit>..HEAD --stat .claude/commands/
# → Understand changes
# 3. UPDATE (30 min)
# - Update affected guide sections (ui-design-workflow-guide.md, etc.)
# - Add examples for new features
# - Document parameter changes
# 4. SYNC & REGENERATE (2 min)
cd /d/Claude_dms3/.claude/skills/command-guide
python scripts/analyze_commands.py
# → Syncs reference docs + regenerates all 5 indexes
# 5. VALIDATE (10 min)
# - Test examples
# - Check consistency
# - Verify links
# 6. COMMIT (5 min)
git add .claude/skills/command-guide/
git commit -m "docs(command-guide): update for <feature> changes"
git push origin main
```
**Total Time**: ~1 hour for typical update
---
## 🔗 Related Resources
- **Python Index Script**: `.claude/skills/command-guide/scripts/analyze_commands.py`
- **Issue Templates**: `.claude/skills/command-guide/templates/`
- **SKILL Entry Point**: `.claude/skills/command-guide/SKILL.md`
- **Reference Source**: `.claude/commands/` and `.claude/agents/`
---
## 📌 Appendix: Common Patterns
### Pattern 1: New Parameter Addition
**Example**: `--interactive` flag added to `explore-auto`
**Update Sequence**:
1. Update `guides/ui-design-workflow-guide.md` with interactive examples
2. Add "When to Use" guidance
3. Run Python script to sync reference docs and regenerate indexes
4. Update argument-hint in examples
---
### Pattern 2: Workflow Reorganization
**Example**: Layout extraction split into concept generation + selection
**Update Sequence**:
1. Major revision of workflow guide section
2. Update all workflow examples
3. Add migration notes for existing users
4. Update troubleshooting
5. Run Python script to sync and regenerate indexes
---
### Pattern 3: Architecture Change
**Example**: Agent execution model changed
**Update Sequence**:
1. Update `guides/implementation-details.md`
2. Revise all workflow patterns using affected agents
3. Create migration guide
4. Update examples comprehensively
5. Run Python script to sync and regenerate indexes
6. Add extensive troubleshooting
---
**End of Update Guideline**
This guideline is a living document. Improve it based on update experience.

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@@ -1,410 +0,0 @@
# CLI 工具使用指南
> **SKILL 参考文档**:用于回答用户关于 CLI 工具Gemini、Qwen、Codex的使用问题
>
> **用途**:当用户询问 CLI 工具的能力、使用方法、调用方式时,从本文档中提取相关信息,根据用户具体需求加工后返回
## 🎯 快速理解CLI 工具是什么?
CLI 工具是集成在 Claude DMS3 中的**智能分析和执行助手**。
**工作流程**
1. **用户** → 用自然语言向 Claude Code 描述需求(如"分析认证模块的安全性"
2. **Claude Code** → 识别用户意图,决定使用哪种方式:
- **CLI 工具语义调用**:生成并执行 `gemini`/`qwen`/`codex` 命令
- **Slash 命令调用**:执行预定义的工作流命令(如 `/workflow:plan`
3. **工具** → 自动完成任务并返回结果
**核心理念**:用户用自然语言描述需求 → Claude Code 选择最佳方式 → 工具执行 → 返回结果
---
## 📋 三大工具能力对比
| 工具 | 擅长领域 | 典型场景 | 何时使用 |
|------|----------|----------|----------|
| **Gemini** | 分析、理解、规划 | 代码分析、架构设计、问题诊断 | 需要深入理解代码或系统 |
| **Qwen** | 分析、备选方案 | 代码审查、模式识别 | Gemini 不可用时的备选 |
| **Codex** | 实现、测试、执行 | 功能开发、测试生成、自动化任务 | 需要生成代码或自动执行 |
**简单记忆**
- 想**理解**什么 → Gemini / Qwen
- 想**实现**什么 → Codex
---
## 🚀 Claude Code 的两种响应方式
当用户用自然语言描述需求时Claude Code 会根据任务特性选择最佳方式:
### 方式 1CLI 工具语义调用(灵活、强大)
**用户明确指示使用 CLI 工具**Claude Code 生成并执行相应命令。
#### 示例 1Gemini 语义分析
**用户输入**(必须明确提到工具):
```
使用 gemini 分析认证模块的安全性,识别潜在的安全漏洞,
关注 JWT 令牌处理、密码存储、会话管理等方面,
提供具体的修复建议
```
**Claude Code 生成并执行**CLI 命令):
```bash
cd src/auth && gemini -p "
分析认证模块的安全性,识别潜在的安全漏洞,
关注 JWT 令牌处理、密码存储、会话管理等方面,
提供具体的修复建议
" -m gemini-3-pro-preview-11-2025
```
**工具输出**Gemini 自动理解任务,组合多个分析步骤,返回结构化报告
---
#### 示例 2Qwen 语义分析Gemini 的备选)
**用户输入**
```
用 qwen 追踪用户登录的完整执行流程,
从 API 入口到数据库查询,
列出所有调用的函数和依赖关系
```
**Claude Code 生成并执行**
```bash
cd src/auth && qwen -p "
追踪用户登录的完整执行流程,
从 API 入口到数据库查询,
列出所有调用的函数和依赖关系
"
```
**工具输出**Qwen 理解需求,自动追踪执行路径
---
#### 示例 3Codex 语义实现
**用户输入**
```
让 codex 实现 JWT 令牌刷新机制:
1. 添加 refreshToken 端点
2. 验证旧令牌的有效性
3. 生成新的访问令牌
4. 确保安全性(防重放攻击)
```
**Claude Code 生成并执行**
```bash
codex -C src/auth --full-auto exec "
实现 JWT 令牌刷新机制:
1. 添加 refreshToken 端点
2. 验证旧令牌的有效性
3. 生成新的访问令牌
4. 确保安全性(防重放攻击)
" -m gpt-5 --skip-git-repo-check -s danger-full-access
```
**工具输出**Codex 理解需求,自动生成代码并集成到现有系统
---
**核心特点**
-**用户明确指定工具**:必须说"使用 gemini"、"用 qwen"、"让 codex"等触发工具调用
-**Claude 生成命令**:识别工具名称后,自动构造最优的 CLI 工具调用
-**工具自动理解**CLI 工具解析需求,组合分析/实现步骤
-**灵活强大**:不受预定义工作流限制
-**精确控制**Claude 可指定工作目录、文件范围、模型参数
**触发方式**
- "使用 gemini ..."
- "用 qwen ..."
- "让 codex ..."
- "通过 gemini 工具..."
**Claude Code 何时选择此方式**
- 用户明确指定使用某个 CLI 工具
- 复杂分析任务(跨模块、多维度)
- 自定义工作流需求
- 需要精确控制上下文范围
---
### 方式 2Slash 命令调用(标准工作流)
**用户直接输入 Slash 命令**,或 **Claude Code 建议使用 Slash 命令**,系统执行预定义工作流(内部调用 CLI 工具)。
#### Workflow 类命令(系统自动选择工具)
**示例 1规划任务**
**用户输入**
```
/workflow:plan --agent "实现用户认证功能"
```
**系统执行**:内部调用 gemini/qwen 分析 + action-planning-agent 生成任务
---
**示例 2执行任务**
**用户输入**
```
/workflow:execute
```
**系统执行**:内部调用 codex 实现代码
---
**示例 3生成测试**
**用户输入**
```
/workflow:test-gen WFS-xxx
```
**系统执行**:内部调用 gemini 分析 + codex 生成测试
---
#### CLI 类命令(指定工具)
**示例 1封装的分析命令**
**用户输入**
```
/cli:analyze --tool gemini "分析认证模块"
```
**系统执行**:使用 gemini 工具进行分析
---
**示例 2封装的执行命令**
**用户输入**
```
/cli:execute --tool codex "实现 JWT 刷新"
```
**系统执行**:使用 codex 工具实现功能
---
**示例 3快速执行YOLO 模式)**
**用户输入**
```
/cli:codex-execute "添加用户头像上传"
```
**系统执行**:使用 codex 快速实现
---
**核心特点**
-**用户可直接输入**Slash 命令格式固定,用户可以直接输入(如 `/workflow:plan`
-**Claude 可建议**Claude Code 也可以识别需求后建议或执行 Slash 命令
-**预定义流程**:标准化的工作流模板
-**自动工具选择**workflow 命令内部自动选择合适的 CLI 工具
-**集成完整**:包含规划、执行、测试、文档等环节
-**简单易用**:无需了解底层 CLI 工具细节
**Claude Code 何时选择此方式**
- 标准开发任务(功能开发、测试、重构)
- 团队协作(统一工作流)
- 适合新手(降低学习曲线)
- 快速开发(减少配置时间)
---
## 🔄 两种方式对比
| 维度 | CLI 工具语义调用 | Slash 命令调用 |
|------|------------------|----------------|
| **用户输入** | 纯自然语言描述需求 | `/` 开头的固定命令格式 |
| **Claude Code 行为** | 生成并执行 `gemini`/`qwen`/`codex` 命令 | 执行预定义工作流(内部调用 CLI 工具) |
| **灵活性** | 完全自定义任务和执行方式 | 固定工作流模板 |
| **学习曲线** | 用户无需学习(纯自然语言) | 需要知道 Slash 命令名称 |
| **适用复杂度** | 复杂、探索性、定制化任务 | 标准、重复性、工作流化任务 |
| **工具选择** | Claude 自动选择最佳 CLI 工具 | 系统自动选择workflow 类)<br>或用户指定cli 类) |
| **典型场景** | 深度分析、自定义流程、探索研究 | 日常开发、团队协作、标准流程 |
**使用建议**
- **日常开发** → 优先使用 Slash 命令(标准化、快速)
- **复杂分析** → Claude 自动选择 CLI 工具语义调用(灵活、强大)
- **用户角度** → 只需用自然语言描述需求Claude Code 会选择最佳方式
---
## 💡 工具能力速查
### Gemini - 分析与规划
- 执行流程追踪、依赖分析、代码模式识别
- 架构设计、技术方案评估、任务分解
- 文档生成API 文档、模块说明)
**触发示例**`使用 gemini 追踪用户登录的完整流程`
---
### Qwen - Gemini 的备选
- 代码分析、模式识别、架构评审
- 作为 Gemini 不可用时的备选方案
**触发示例**`用 qwen 分析数据处理模块`
---
### Codex - 实现与执行
- 功能开发、组件实现、API 创建
- 单元测试、集成测试、TDD 支持
- 代码重构、性能改进、Bug 修复
**触发示例**`让 codex 实现用户注册功能,包含邮箱验证`
---
## 🔄 典型使用场景
### 场景 1理解陌生代码库
**需求**:接手新项目,需要快速理解代码结构
**方式 1CLI 工具语义调用**(推荐,灵活)
- **用户输入**`使用 gemini 分析这个项目的架构设计,识别主要模块、依赖关系和架构模式`
- **Claude Code 生成并执行**`cd project-root && gemini -p "..."`
**方式 2Slash 命令**
- **用户输入**`/cli:analyze --tool gemini "分析项目架构"`
---
### 场景 2实现新功能
**需求**:实现用户认证功能
**方式 1CLI 工具语义调用**
- **用户输入**`让 codex 实现用户认证功能:注册(邮箱+密码+验证、登录JWT token、刷新令牌技术栈 Node.js + Express`
- **Claude Code 生成并执行**`codex -C src/auth --full-auto exec "..." --skip-git-repo-check -s danger-full-access`
**方式 2Slash 命令**(工作流化)
- **用户输入**`/workflow:plan --agent "实现用户认证功能"``/workflow:execute`
---
### 场景 3诊断 Bug
**需求**:登录功能偶尔超时
**方式 1CLI 工具语义调用**
- **用户输入**`使用 gemini 诊断登录超时问题,分析处理流程、性能瓶颈、数据库查询效率`
- **Claude Code 生成并执行**`cd src/auth && gemini -p "..."`
- **用户输入**`让 codex 根据上述分析修复登录超时,优化查询、添加缓存`
- **Claude Code 生成并执行**`codex -C src/auth --full-auto exec "..." --skip-git-repo-check -s danger-full-access`
**方式 2Slash 命令**
- **用户输入**`/cli:mode:bug-diagnosis --tool gemini "诊断登录超时"``/cli:execute --tool codex "修复登录超时"`
---
### 场景 4生成文档
**需求**:为 API 模块生成完整文档
**方式 1CLI 工具语义调用**
- **用户输入**`使用 gemini 为 API 模块生成技术文档,包含端点说明、数据模型、使用示例`
- **Claude Code 生成并执行**`cd src/api && gemini -p "..." --approval-mode yolo`
**方式 2Slash 命令**
- **用户输入**`/memory:docs src/api --tool gemini --mode full`
---
## 🎯 常用工作流程
### 简单 Bug 修复
```
使用 gemini 诊断问题(可选其他 cli 工具)
→ Claude 分析
→ Claude 直接执行修复
```
### 复杂 Bug 修复
```
/cli:mode:plan 或 /cli:mode:bug-diagnosis
→ Claude 分析
→ Claude 执行修复
```
### 简单功能增加
```
/cli:mode:plan
→ Claude 执行
```
### 复杂功能增加
```
/cli:mode:plan --agent
→ Claude 执行 或 /cli:codex-execute
/cli:mode:plan
→ 进入工作流模式(/workflow:execute
```
### 项目内存管理
**建立技术栈文档**(为项目提供技术参考)
```
/memory:tech-research [session-id | tech-stack-name]
```
**为项目重建多级结构的 CLAUDE.md 内存**
```
/memory:docs [path] [--tool gemini|qwen|codex] [--mode full|partial]
```
---
## 📚 常用命令速查
| 需求 | 推荐命令 |
|------|----------|
| **代码分析** | `使用 gemini 分析...``/cli:analyze --tool gemini` |
| **Bug 诊断** | `/cli:mode:bug-diagnosis` |
| **功能实现** | `/cli:codex-execute``让 codex 实现...` |
| **架构规划** | `/cli:mode:plan` |
| **生成测试** | `/workflow:test-gen WFS-xxx` |
| **完整工作流** | `/workflow:plan``/workflow:execute` |
| **技术文档** | `/memory:tech-research [tech-name]` |
| **项目文档** | `/memory:docs [path]` |
---
## 🆘 快速提示
**触发 CLI 工具语义调用**
- "使用 gemini ..."
- "用 qwen ..."
- "让 codex ..."
**选择工具**
- **理解/分析/规划** → Gemini
- **实现/测试/执行** → Codex
- **不确定** → 使用 Slash 命令让系统选择
**提升质量**
- 清晰描述需求和期望
- 提供上下文信息
- 使用 `--agent` 处理复杂任务
---
**最后更新**: 2025-11-06

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@@ -1,537 +0,0 @@
# Usage Examples
Comprehensive examples of command-guide skill in action across all 5 operation modes.
---
## Mode 1: Command Search 🔍
### Example 1: Keyword Search
**User**: "搜索包含 'execute' 的命令"
**Skill Response**:
```
找到 4 个相关命令:
1. **cli:execute** (高级)
描述: Auto-execution of implementation tasks with YOLO permissions
参数: [--agent] [--tool codex|gemini|qwen] [--enhance] description or task-id
场景: implementation
2. **task:execute** (中级)
描述: Execute tasks with appropriate agents and context-aware orchestration
参数: task-id
场景: implementation
3. **workflow:execute** (中级)
描述: Coordinate agents for existing workflow tasks with automatic discovery
参数: [--resume-session="session-id"]
场景: implementation
4. **codex-execute** (高级)
描述: Automated task decomposition and execution with Codex
参数: task description or task-id
场景: implementation
💡 相关命令: workflow:plan, task:create
📖 详细文档: [Implementation Commands](workflow-patterns.md#implementation)
```
---
### Example 2: Category Search
**User**: "cli 类别下有哪些命令?"
**Skill Response**:
```
CLI 类别包含 9 个命令:
**核心命令** (6个):
- cli:analyze - Quick codebase analysis
- cli:chat - Direct codebase interaction
- cli:execute - Auto-execution with YOLO
- cli:cli-init - Initialize CLI tool configs
- cli:codex-execute - Codex-powered execution
- cli:discuss-plan - Multi-model planning discussion
**模式命令** (3个):
- cli:mode:plan - Project planning mode
- cli:mode:code-analysis - Deep code analysis mode
- cli:mode:bug-diagnosis - Bug diagnosis mode
📚 使用指南: [CLI Tools Guide](cli-tools-guide.md)
```
---
### Example 3: Use-Case Search
**User**: "planning 相关的命令有哪些?"
**Skill Response**:
```
Planning 场景包含 8 个命令:
**核心规划**:
1. workflow:plan (高级) - 5阶段规划工作流
2. cli:mode:plan (高级) - 项目规划和架构分析
3. workflow:tdd-plan (高级) - TDD 规划工作流
**任务分解**:
4. task:breakdown (中级) - 智能任务分解
5. workflow:tools:task-generate (中级) - 生成任务 JSON
**架构设计**:
6. workflow:brainstorm:system-architect (中级) - 系统架构师头脑风暴
7. workflow:brainstorm:api-designer (中级) - API 设计师头脑风暴
**评估验证**:
8. workflow:action-plan-verify (中级) - 规划质量验证
💡 常见工作流: Plan → Verify → Execute
📖 模式参考: [Workflow Patterns](workflow-patterns.md#planning-workflow)
```
---
## Mode 2: Smart Recommendations 🤖
### Example 1: After Planning
**User**: "执行完 /workflow:plan 后下一步做什么?"
**Skill Response**:
```
推荐的后续步骤:
**🎯 主要选择**:
1. **/workflow:execute** - 开始执行规划的任务
✅ 这是最常见的下一步
作用: 实际执行 workflow:plan 生成的任务
**📋 可选步骤**:
2. **/workflow:action-plan-verify** - 验证规划质量
作用: 在执行前检查规划的一致性和完整性
建议: 重要项目建议先验证
3. **/workflow:status** - 查看规划状态
作用: 查看生成的任务和当前进度
**📚 完整工作流模式**:
Plan → Verify (可选) → Execute → Review
详见: [Planning Workflow Pattern](workflow-patterns.md#planning-execution)
```
---
### Example 2: After Execution
**User**: "workflow:execute 执行完成后,推荐做什么?"
**Skill Response**:
```
推荐的后续步骤:
**🎯 主要选择**:
1. **/workflow:review** - 审查实现结果
✅ 检查代码质量、安全性、架构
参数: [--type=quality|security|architecture]
**📊 可选步骤**:
2. **/workflow:status** - 查看执行状态
作用: 确认所有任务都已完成
3. **/workflow:test-gen** - 生成测试
作用: 为实现的功能创建测试用例
4. **/workflow:session:complete** - 完成会话
作用: 标记工作流已完成,归档经验
**🔄 如果需要修改**:
- /task:replan - 重新规划某个任务
- /workflow:resume - 恢复工作流
详见: [Execution Review Pattern](workflow-patterns.md#execution-review)
```
---
## Mode 3: Full Documentation 📖
### Example 1: Command Parameters
**User**: "/workflow:plan 的参数是什么?"
**Skill Response**:
```
# workflow:plan
**描述**: Orchestrate 5-phase planning workflow with quality gate, executing commands and passing context between phases
**参数**:
```bash
/workflow:plan [--agent] [--cli-execute] "text description"|file.md
```
**参数说明**:
- `--agent` (可选): 使用 agent 模式执行规划
- `--cli-execute` (可选): 允许在规划阶段执行 CLI 命令
- `"text description"`: 任务描述文本
- `file.md`: 或者提供任务描述文件路径
**使用场景**: planning
**难度级别**: 高级
**使用示例**:
```bash
# 基本用法
/workflow:plan "实现用户认证功能"
# 使用 agent 模式
/workflow:plan --agent "重构支付模块"
# 从文件读取
/workflow:plan --agent feature-spec.md
# 允许 CLI 执行
/workflow:plan --cli-execute "添加搜索功能"
```
**执行流程**:
1. 上下文收集
2. 概念规划
3. 实现规划
4. 任务生成
5. 质量验证
**相关命令**:
- workflow:execute - 执行规划的任务
- workflow:action-plan-verify - 验证规划质量
- workflow:status - 查看规划状态
**详细文档**: ../../commands/workflow/plan.md
```
---
## Mode 4: Beginner Onboarding 🎓
### Example 1: Complete Beginner
**User**: "我是新手,如何开始使用工作流系统?"
**Skill Response**:
```
欢迎使用 Claude DMS3 工作流系统!🎉
## 🚀 快速开始3 步)
### Step 1: 了解核心命令Top 5
1. **/workflow:plan** - 规划一个功能或任务
用法: /workflow:plan "你想做的事情"
2. **/workflow:execute** - 执行规划的任务
用法: /workflow:execute
3. **/cli:execute** - 快速自动执行
用法: /cli:execute "实现XXX功能"
4. **/task:create** - 创建单个任务
用法: /task:create "任务标题"
5. **/enhance-prompt** - 优化你的提示词
用法: /enhance-prompt "你的想法"
### Step 2: 尝试第一个工作流
```bash
# 1. 规划一个简单功能
/workflow:plan "添加用户登录功能"
# 2. 执行规划
/workflow:execute
# 3. 审查结果
/workflow:review
```
### Step 3: 学习资源
📖 **必读指南**:
- [5分钟快速开始](getting-started.md)
- [常见工作流模式](workflow-patterns.md)
🛠️ **工具指南**:
- [CLI 工具使用](cli-tools-guide.md)
- [问题排查](troubleshooting.md)
💡 **下一步建议**:
1. 阅读 getting-started.md5分钟
2. 尝试上面的第一个工作流
3. 探索更多命令: 询问 "常用命令有哪些"
有问题随时问 "CCW-help"
```
---
### Example 2: Intermediate User
**User**: "常用命令有哪些?"
**Skill Response**:
```
## 核心命令列表Top 14
### 🎯 工作流管理 (5个)
1. workflow:plan - 5阶段规划
2. workflow:execute - 执行任务
3. workflow:review - 审查实现
4. workflow:tdd-plan - TDD 规划
5. workflow:test-gen - 生成测试
### 🛠️ CLI 工具 (3个)
6. cli:execute - 自动执行
7. cli:mode:plan - 规划模式
8. cli:analyze - 代码分析
### 📋 任务管理 (3个)
9. task:create - 创建任务
10. task:execute - 执行任务
11. task:breakdown - 分解任务
### 🔧 实用工具 (2个)
12. enhance-prompt - 提示词增强
13. version - 版本信息
### 💡 使用频率
- **每天**: workflow:plan, workflow:execute, cli:execute
- **经常**: task:create, enhance-prompt
- **按需**: workflow:review, test-gen, tdd-plan
📚 详细文档: [Index Structure](index-structure.md#essential-commands)
```
---
## Mode 5: Issue Reporting 📝
### Example 1: Bug Report
**User**: "CCW-issue"
**Skill (Interactive)**:
```
请选择问题类型:
1. 🐛 Bug 报告
2. ✨ 功能请求
3. ❓ 问题咨询
```
**User**: "1"
**Skill**:
```
好的,我将帮您创建 Bug 报告。请回答以下问题:
1. 简要描述问题:
```
**User**: "/workflow:plan 执行后没有生成任务文件"
**Skill**:
```
2. 您执行的完整命令是什么?
```
**User**: "/workflow:plan '添加登录功能'"
**Skill**:
```
3. 期望的结果是什么?
```
**User**: "应该在 .workflow/ 目录生成 task.json"
**Skill**:
```
4. 实际发生了什么?
```
**User**: "命令执行了但没有生成文件"
**Skill**:
```
✅ Bug 报告已生成!
文件路径: templates/.generated/bug-2025-01-06-123456.md
--- 报告内容 ---
# Bug 报告
## 问题描述
/workflow:plan 执行后没有生成任务文件
## 执行的命令
```bash
/workflow:plan '添加登录功能'
```
## 期望行为
应该在 .workflow/ 目录生成 task.json
## 实际行为
命令执行了但没有生成文件
## 环境信息
- 操作系统: Windows
- 报告日期: 2025-01-06
- 相关命令: /workflow:plan
---
**下一步操作**:
1. 复制以上内容到 GitHub Issues
2. 或使用: gh issue create -F templates/.generated/bug-2025-01-06-123456.md
需要更多帮助?使用 "CCW-help"
```
---
### Example 2: Feature Request
**User**: "我想提个功能建议"
**Skill (Interactive)**:
```
请选择问题类型:
1. 🐛 Bug 报告
2. ✨ 功能请求
3. ❓ 问题咨询
```
**User**: "2"
**Skill**:
```
好的,功能请求。请描述:
1. 您希望添加什么功能?
```
**User**: "希望 /workflow:plan 能自动估算任务时间"
**Skill**:
```
2. 这个功能解决什么问题?
```
**User**: "帮助更好地规划项目进度和资源分配"
**Skill**:
```
3. 具体的使用场景是什么?(可选)
```
**User**: "规划大型项目时,能看到预计完成时间"
**Skill**:
```
✅ 功能请求已生成!
文件路径: templates/.generated/feature-2025-01-06-123457.md
--- 内容预览 ---
# 功能请求
## 功能概述
希望 /workflow:plan 能自动估算任务时间
## 问题背景
帮助更好地规划项目进度和资源分配
## 使用场景
规划大型项目时,能看到预计完成时间
## 优先级
- [ ] 高 - 严重影响工作效率
- [x] 中 - 有明显改善但有变通方案
- [ ] 低 - 锦上添花
---
可以复制到 GitHub 提交,或使用:
gh issue create -F templates/.generated/feature-2025-01-06-123457.md
```
---
## Edge Cases & Error Handling
### Case 1: No Results Found
**User**: "搜索 xyz 命令"
**Skill**:
```
❌ 未找到包含 "xyz" 的命令
💡 建议:
1. 尝试更广泛的关键词(如 "plan", "execute", "test"
2. 按类别浏览workflow, cli, memory, task
3. 查看所有常用命令:询问 "常用命令"
4. 需要帮助:使用 "CCW-help"
📚 快速参考:[All Commands Index](index-structure.md#all-commands)
```
---
### Case 2: Ambiguous Query
**User**: "命令"
**Skill**:
```
您想了解什么?请选择:
1. 🔍 搜索特定命令
2. 🤖 获取命令推荐
3. 📖 查看命令文档
4. 🎓 新手入门指导
5. 📝 报告问题或建议
或者直接说出具体需求,例如:
- "搜索 planning 命令"
- "执行完 /workflow:plan 下一步做什么"
- "/task:create 怎么用"
```
---
### Case 3: Multiple Matches
**User**: "execute 命令"
**Skill**:
```
找到多个相关命令,请选择您需要的:
1. **cli:execute** - CLI 自动执行(推荐新手)
2. **task:execute** - 执行单个任务
3. **workflow:execute** - 执行整个工作流
或者询问:
- "cli:execute 的详细文档"
- "三者有什么区别"
- "我该用哪个"
```
---
**Last Updated**: 2025-01-06

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@@ -1,242 +0,0 @@
# 5分钟快速上手指南
> 欢迎使用 Claude DMS3本指南将帮助您快速上手5分钟内开始第一个工作流。
## 🎯 Claude DMS3 是什么?
Claude DMS3 是一个**智能开发管理系统**,集成了 69 个命令,帮助您:
- 📋 规划和分解复杂任务
- ⚡ 自动化代码实现
- 🧪 生成和执行测试
- 📚 生成项目文档
- 🤖 使用 AI 工具Gemini、Qwen、Codex加速开发
**核心理念**:用自然语言描述需求 → 系统自动规划和执行 → 获得结果
---
## 🚀 最常用的14个命令
### 工作流类(必会)
| 命令 | 用途 | 何时使用 |
|------|------|----------|
| `/workflow:plan` | 规划任务 | 开始新功能、新项目 |
| `/workflow:execute` | 执行任务 | plan 之后,实现功能 |
| `/workflow:test-gen` | 生成测试 | 实现完成后,生成测试 |
| `/workflow:status` | 查看进度 | 查看工作流状态 |
| `/workflow:resume` | 恢复任务 | 继续之前的工作流 |
### CLI 工具类(常用)
| 命令 | 用途 | 何时使用 |
|------|------|----------|
| `/cli:analyze` | 代码分析 | 理解代码、分析架构 |
| `/cli:execute` | 执行实现 | 精确控制实现过程 |
| `/cli:codex-execute` | 自动化实现 | 快速实现功能 |
| `/cli:chat` | 问答交互 | 询问代码库问题 |
### Memory 类(知识管理)
| 命令 | 用途 | 何时使用 |
|------|------|----------|
| `/memory:docs` | 生成文档 | 生成模块文档 |
| `/memory:load` | 加载上下文 | 获取任务相关上下文 |
### Task 类(任务管理)
| 命令 | 用途 | 何时使用 |
|------|------|----------|
| `/task:create` | 创建任务 | 手动创建单个任务 |
| `/task:execute` | 执行任务 | 执行特定任务 |
---
## 📝 第一个工作流:实现一个新功能
让我们通过一个实际例子来体验完整的工作流:**实现用户登录功能**
### 步骤 1规划任务
```bash
/workflow:plan --agent "实现用户登录功能包括邮箱密码验证和JWT令牌"
```
**发生什么**
- 系统分析需求
- 自动生成任务计划IMPL_PLAN.md
- 创建多个子任务task JSON 文件)
- 返回 workflow session ID如 WFS-20251106-xxx
**你会看到**
- ✅ 规划完成
- 📋 任务列表task-001-user-model, task-002-login-api 等)
- 📁 Session 目录创建
---
### 步骤 2执行实现
```bash
/workflow:execute
```
**发生什么**
- 系统自动发现最新的 workflow session
- 按顺序执行所有任务
- 使用 Codex 自动生成代码
- 实时显示进度
**你会看到**
- ⏳ Task 1 执行中...
- ✅ Task 1 完成
- ⏳ Task 2 执行中...
- (依次执行所有任务)
---
### 步骤 3生成测试
```bash
/workflow:test-gen WFS-20251106-xxx
```
**发生什么**
- 分析实现的代码
- 生成测试策略
- 创建测试任务
---
### 步骤 4查看状态
```bash
/workflow:status
```
**发生什么**
- 显示当前工作流状态
- 列出所有任务及其状态
- 显示已完成/进行中/待执行任务
---
## 🎓 其他常用场景
### 场景 1快速代码分析
**需求**:理解陌生代码
```bash
# 分析整体架构
/cli:analyze --tool gemini "分析项目架构和模块关系"
# 追踪执行流程
/cli:mode:code-analysis --tool gemini "追踪用户注册的执行流程"
```
---
### 场景 2快速实现功能
**需求**:实现一个简单功能
```bash
# 方式 1完整工作流推荐
/workflow:plan "添加用户头像上传功能"
/workflow:execute
# 方式 2直接实现快速
/cli:codex-execute "添加用户头像上传功能,支持图片裁剪和压缩"
```
---
### 场景 3恢复之前的工作
**需求**:继续上次的任务
```bash
# 查看可恢复的 session
/workflow:status
# 恢复特定 session
/workflow:resume WFS-20251106-xxx
```
---
### 场景 4生成文档
**需求**:为模块生成文档
```bash
/memory:docs src/auth --tool gemini --mode full
```
---
## 💡 快速记忆法
记住这个流程,就能完成大部分任务:
```
规划 → 执行 → 测试 → 完成
↓ ↓ ↓
plan → execute → test-gen
```
**扩展场景**
- 需要分析理解 → 使用 `/cli:analyze`
- 需要精确控制 → 使用 `/cli:execute`
- 需要快速实现 → 使用 `/cli:codex-execute`
---
## 🆘 遇到问题?
### 命令记不住?
使用 Command Guide SKILL
```bash
ccw # 或 ccw-help
```
然后说:
- "搜索 planning 命令"
- "执行完 /workflow:plan 后做什么"
- "我是新手,如何开始"
---
### 执行失败?
1. **查看错误信息**:仔细阅读错误提示
2. **使用诊断模板**`ccw-issue` → 选择 "诊断模板"
3. **查看排查指南**[Troubleshooting Guide](troubleshooting.md)
---
### 想深入学习?
- **工作流模式**[Workflow Patterns](workflow-patterns.md) - 学习更多工作流组合
- **CLI 工具使用**[CLI Tools Guide](cli-tools-guide.md) - 了解 Gemini/Qwen/Codex 的高级用法
- **完整命令列表**:查看 `index/essential-commands.json`
---
## 🎯 下一步
现在你已经掌握了基础!尝试:
1. **实践基础工作流**:选择一个小功能,走一遍 plan → execute → test-gen 流程
2. **探索 CLI 工具**:尝试用 `/cli:analyze` 分析你的代码库
3. **学习工作流模式**:阅读 [Workflow Patterns](workflow-patterns.md) 了解更多高级用法
**记住**Claude DMS3 的设计理念是让你用自然语言描述需求,系统自动完成繁琐的工作。不要担心命令记不住,随时可以使用 `ccw` 获取帮助!
---
**祝你使用愉快!** 🎉
有任何问题,使用 `ccw-issue` 提交问题或查询帮助。

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# Index Structure Reference
Complete documentation for command index files and their data structures.
## Overview
The command-guide skill uses 5 JSON index files to organize and query 69 commands across the Claude DMS3 workflow system.
## Index Files
### 1. `all-commands.json`
**Purpose**: Complete catalog of all commands with full metadata
**Use Cases**:
- Full-text search across all commands
- Detailed command queries
- Batch operations
- Reference lookup
**Structure**:
```json
[
{
"name": "workflow:plan",
"description": "Orchestrate 5-phase planning workflow with quality gate",
"arguments": "[--agent] [--cli-execute] \"text description\"|file.md",
"category": "workflow",
"subcategory": "core",
"usage_scenario": "planning",
"difficulty": "Advanced",
"file_path": "workflow/plan.md"
},
...
]
```
**Fields**:
- `name` (string): Command name (e.g., "workflow:plan")
- `description` (string): Brief functional description
- `arguments` (string): Parameter specification
- `category` (string): Primary category (workflow/cli/memory/task)
- `subcategory` (string|null): Secondary grouping if applicable
- `usage_scenario` (string): Primary use case (planning/implementation/testing/etc.)
- `difficulty` (string): Skill level (Beginner/Intermediate/Advanced)
- `file_path` (string): Relative path to command file
**Total Records**: 69 commands
---
### 2. `by-category.json`
**Purpose**: Hierarchical organization by category and subcategory
**Use Cases**:
- Browse commands by category
- Category-specific listings
- Hierarchical navigation
- Understanding command organization
**Structure**:
```json
{
"workflow": {
"core": [
{
"name": "workflow:plan",
"description": "...",
...
}
],
"brainstorm": [...],
"session": [...],
"tools": [...],
"ui-design": [...]
},
"cli": {
"mode": [...],
"core": [...]
},
"memory": [...],
"task": [...]
}
```
**Category Breakdown**:
- **workflow** (46 commands):
- core: 11 commands
- brainstorm: 12 commands
- session: 4 commands
- tools: 9 commands
- ui-design: 10 commands
- **cli** (9 commands):
- mode: 3 commands
- core: 6 commands
- **memory** (8 commands)
- **task** (4 commands)
- **general** (2 commands)
---
### 3. `by-use-case.json`
**Purpose**: Commands organized by practical usage scenarios
**Use Cases**:
- Task-oriented command discovery
- "I want to do X" queries
- Workflow planning
- Learning paths
**Structure**:
```json
{
"planning": [
{
"name": "workflow:plan",
"description": "...",
...
},
...
],
"implementation": [...],
"testing": [...],
"documentation": [...],
"session-management": [...],
"general": [...]
}
```
**Use Case Categories**:
- **planning**: Architecture, task breakdown, design
- **implementation**: Coding, development, execution
- **testing**: Test generation, TDD, quality assurance
- **documentation**: Docs generation, memory management
- **session-management**: Workflow control, resumption
- **general**: Utilities, versioning, prompt enhancement
---
### 4. `essential-commands.json`
**Purpose**: Curated list of 10-15 most frequently used commands
**Use Cases**:
- Quick reference for beginners
- Onboarding new users
- Common workflow starters
- Cheat sheet
**Structure**:
```json
[
{
"name": "enhance-prompt",
"description": "Context-aware prompt enhancement",
"arguments": "\"user input to enhance\"",
"category": "general",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "enhance-prompt.md"
},
...
]
```
**Selection Criteria**:
- Frequency of use in common workflows
- Value for beginners
- Core functionality coverage
- Minimal overlap in capabilities
**Current Count**: 14 commands
**List**:
1. `enhance-prompt` - Prompt enhancement
2. `version` - Version info
3. `cli:analyze` - Quick codebase analysis
4. `cli:chat` - Direct CLI interaction
5. `cli:execute` - Auto-execution
6. `cli:mode:plan` - Planning mode
7. `task:breakdown` - Task decomposition
8. `task:create` - Create tasks
9. `task:execute` - Execute tasks
10. `workflow:execute` - Run workflows
11. `workflow:plan` - Plan workflows
12. `workflow:review` - Review implementation
13. `workflow:tdd-plan` - TDD planning
14. `workflow:test-gen` - Test generation
---
### 5. `command-relationships.json`
**Purpose**: Mapping of command dependencies and common sequences
**Use Cases**:
- Next-step recommendations
- Workflow pattern suggestions
- Related command discovery
- Smart navigation
**Structure**:
```json
{
"workflow:plan": {
"related_commands": [
"workflow:execute",
"workflow:action-plan-verify"
],
"next_steps": ["workflow:execute"],
"prerequisites": []
},
"workflow:execute": {
"related_commands": [
"workflow:status",
"workflow:resume",
"workflow:review"
],
"next_steps": ["workflow:review", "workflow:status"],
"prerequisites": ["workflow:plan"]
},
...
}
```
**Fields**:
- `related_commands` (array): Commonly used together
- `next_steps` (array): Typical next commands
- `prerequisites` (array): Usually run before this command
**Relationship Types**:
1. **Sequential**: A → B (plan → execute)
2. **Alternatives**: A | B (execute OR codex-execute)
3. **Built-in**: A includes B (plan auto-includes context-gather)
---
## Query Patterns
### Pattern 1: Keyword Search
```javascript
// Search by keyword in name or description
const results = allCommands.filter(cmd =>
cmd.name.includes(keyword) ||
cmd.description.toLowerCase().includes(keyword.toLowerCase())
);
```
### Pattern 2: Category Browse
```javascript
// Get all commands in a category
const workflowCommands = byCategory.workflow;
const coreWorkflow = byCategory.workflow.core;
```
### Pattern 3: Use-Case Lookup
```javascript
// Find commands for specific use case
const planningCommands = byUseCase.planning;
```
### Pattern 4: Related Commands
```javascript
// Get next steps after a command
const nextSteps = commandRelationships["workflow:plan"].next_steps;
```
### Pattern 5: Essential Commands
```javascript
// Get beginner-friendly quick reference
const quickStart = essentialCommands;
```
---
## Maintenance
### Regenerating Indexes
When commands are added/modified/removed:
```bash
bash scripts/update-index.sh
```
The script will:
1. Scan all .md files in commands/
2. Extract metadata from YAML frontmatter
3. Analyze command relationships
4. Identify essential commands
5. Generate all 5 index files
### Validation Checklist
After regeneration, verify:
- [ ] All 5 JSON files are valid (no syntax errors)
- [ ] Total command count matches (currently 69)
- [ ] No missing fields in records
- [ ] Category breakdown correct
- [ ] Essential commands reasonable (10-15)
- [ ] Relationships make logical sense
---
## Performance Considerations
**Index Sizes**:
- `all-commands.json`: ~28KB
- `by-category.json`: ~31KB
- `by-use-case.json`: ~29KB
- `command-relationships.json`: ~7KB
- `essential-commands.json`: ~5KB
**Total**: ~100KB (fast to load)
**Query Speed**:
- In-memory search: < 1ms
- File read + parse: < 50ms
- Recommended: Load indexes once, cache in memory
---
**Last Updated**: 2025-01-06

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# 常见问题与解决方案
在使用 Gemini CLI 的过程中,您可能会遇到一些问题。本指南旨在帮助您诊断和解决这些常见问题,确保您能顺利使用 CLI。
## 1. 命令执行失败或未找到
**问题描述**:
- 您输入的命令没有响应,或者系统提示“命令未找到”。
- 命令执行后出现错误信息,但您不理解其含义。
**可能原因**:
- 命令拼写错误。
- CLI 未正确安装或环境变量配置不正确。
- 命令所需的依赖项缺失。
- 命令参数不正确或缺失。
**解决方案**:
1. **检查拼写**: 仔细核对您输入的命令是否正确,包括命令名称和任何参数。
2. **查看帮助**: 使用 `gemini help``gemini [command-name] --help` 来查看命令的正确用法、可用参数和示例。
3. **验证安装**: 确保 Gemini CLI 已正确安装,并且其可执行文件路径已添加到系统的环境变量中。您可以尝试重新安装 CLI。
4. **检查日志**: CLI 通常会生成日志文件。查看这些日志可以提供更详细的错误信息,帮助您定位问题。
5. **更新 CLI**: 确保您使用的是最新版本的 Gemini CLI。旧版本可能存在已知错误通过 `gemini version` 检查并更新。
## 2. 权限问题
**问题描述**:
- CLI 尝试读取、写入或创建文件/目录时,提示“权限被拒绝”或类似错误。
- 某些操作(如安装依赖、修改系统配置)失败。
**可能原因**:
- 当前用户没有足够的权限执行该操作。
- 文件或目录被其他程序占用。
**解决方案**:
1. **以管理员身份运行**: 尝试以管理员权限Windows或使用 `sudo`Linux/macOS运行您的终端或命令提示符。
```bash
# Windows (在命令提示符或 PowerShell 中右键选择“以管理员身份运行”)
# Linux/macOS
sudo gemini [command]
```
2. **检查文件/目录权限**: 确保您对目标文件或目录拥有读/写/执行权限。您可能需要使用 `chmod` (Linux/macOS) 或修改文件属性 (Windows) 来更改权限。
3. **关闭占用程序**: 确保没有其他程序正在使用您尝试访问的文件或目录。
## 3. 配置问题
**问题描述**:
- CLI 行为异常,例如无法连接到 LLM 服务,或者某些功能无法正常工作。
- 提示缺少 API 密钥或配置项。
**可能原因**:
- 配置文件(如 `.gemini.json` 或相关环境变量)设置不正确。
- API 密钥过期或无效。
- 网络连接问题导致无法访问外部服务。
**解决方案**:
1. **检查配置文件**: 仔细检查 Gemini CLI 的配置文件通常位于用户主目录或项目根目录中的设置。确保所有路径、API 密钥和选项都正确无误。
2. **验证环境变量**: 确认所有必要的环境变量(如 `GEMINI_API_KEY`)都已正确设置。
3. **网络连接**: 检查您的网络连接是否正常,并确保没有防火墙或代理设置阻止 CLI 访问外部服务。
4. **重新初始化配置**: 对于某些配置问题,您可能需要使用 `gemini cli-init` 命令重新初始化 CLI 配置。
```bash
gemini cli-init
```
## 4. 智能代理 (LLM) 相关问题
**问题描述**:
- 智能代理的响应质量不佳,不相关或不准确。
- 代理响应速度慢,或提示达到速率限制。
**可能原因**:
- 提示不够清晰或缺乏上下文。
- 选择了不适合当前任务的 LLM 模型。
- LLM 服务提供商的速率限制或服务中断。
**解决方案**:
1. **优化提示**: 尝试使用 `enhance-prompt` 命令来优化您的输入,提供更清晰、更具体的上下文信息。
2. **选择合适的工具**: 根据任务类型,使用 `--tool` 标志选择最合适的 LLM 模型(如 `codex` 适用于代码生成,`gemini` 适用于复杂推理)。
```bash
gemini analyze --tool gemini "分析这个复杂算法"
```
3. **检查 API 密钥和配额**: 确保您的 LLM 服务 API 密钥有效,并且没有超出使用配额。
4. **重试或等待**: 如果是速率限制或服务中断,请稍后重试或联系服务提供商。
## 5. 寻求帮助
如果以上解决方案都无法解决您的问题,您可以:
- **查阅官方文档**: 访问 Gemini CLI 的官方文档获取更全面的信息。
- **社区支持**: 在相关的开发者社区或论坛中提问。
- **提交问题**: 如果您认为是 CLI 的 bug请在项目的问题跟踪器中提交详细的问题报告。
希望本指南能帮助您解决遇到的问题,让您更好地利用 Gemini CLI

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@@ -1,316 +0,0 @@
# UI Design Workflow Guide
## Overview
The UI Design Workflow System is a comprehensive suite of 11 autonomous commands designed to transform intent (prompts), references (images/URLs), or existing code into functional, production-ready UI prototypes. It employs a **Separation of Concerns** architecture, treating Style (visual tokens), Structure (layout templates), and Motion (animation tokens) as independent, mix-and-match components.
## Command Taxonomy
### 1. Orchestrators (High-Level Workflows)
These commands automate end-to-end processes by chaining specialized sub-commands.
- **`/workflow:ui-design:explore-auto`**: For creating *new* designs. Generates multiple style and layout variants from a prompt to explore design directions.
- **`/workflow:ui-design:imitate-auto`**: For *replicating* existing designs. Creates design systems from local reference files (images, code) or text prompts.
### 2. Core Extractors (Specialized Analysis)
Agents dedicated to analyzing specific aspects of design.
- **`/workflow:ui-design:style-extract`**: Extracts visual tokens (colors, typography, spacing, shadows) into `design-tokens.json`.
- **`/workflow:ui-design:layout-extract`**: Extracts DOM structure and CSS layout rules into `layout-templates.json`.
- **`/workflow:ui-design:animation-extract`**: Extracts motion patterns into `animation-tokens.json`.
### 3. Input & Capture Utilities
Tools for gathering raw data for analysis.
- **`/workflow:ui-design:capture`**: High-speed batch screenshot capture for multiple URLs.
- **`/workflow:ui-design:explore-layers`**: Interactive, depth-controlled capture (e.g., capturing modals, dropdowns, shadow DOM).
- **`/workflow:ui-design:import-from-code`**: Bootstraps a design system by analyzing existing CSS/JS/HTML files.
### 4. Assemblers & Integrators
Tools for combining components and integrating results.
- **`/workflow:ui-design:generate`**: Pure assembler that combines Layout Templates + Design Tokens into HTML/CSS prototypes.
- **`/workflow:ui-design:update`**: Synchronizes generated design artifacts with the main project session for implementation planning.
---
## Common Workflow Patterns
### Workflow A: Exploratory Design (New Concepts)
**Goal:** Create multiple design options for a new project from a text description.
**Primary Command:** `explore-auto`
**Steps:**
1. **Initiate**: User runs `/workflow:ui-design:explore-auto --prompt "Modern fintech dashboard" --style-variants 3`
2. **Style Extraction**: System generates 3 distinct visual design systems based on the prompt.
3. **Layout Extraction**: System researches and generates responsive layout templates for a dashboard.
4. **Assembly**: System generates a matrix of prototypes (3 styles × 1 layout = 3 prototypes).
5. **Review**: User views `compare.html` to select the best direction.
**Example (Non-Interactive - Default):**
```bash
/workflow:ui-design:explore-auto \
--prompt "Modern SaaS landing page with hero, features, pricing sections" \
--style-variants 3 \
--layout-variants 2 \
--session WFS-001
```
**Output:**
- `design-tokens-v1.json`, `design-tokens-v2.json`, `design-tokens-v3.json` (3 style variants)
- `layout-templates-v1.json`, `layout-templates-v2.json` (2 layout variants)
- 6 HTML prototypes (3 × 2 combinations)
- `compare.html` for side-by-side comparison
**Example (Interactive Mode):**
```bash
/workflow:ui-design:explore-auto \
--prompt "Modern SaaS landing page with hero, features, pricing sections" \
--style-variants 5 \
--layout-variants 4 \
--interactive \
--session WFS-001
```
**Interactive Flow:**
1. System generates 5 style concepts
2. **User selects** 2-3 preferred styles (multi-select)
3. System generates 4 layout concepts
4. **User selects** 2 preferred layouts (multi-select)
5. System generates only 4-6 final prototypes (selected combinations)
---
### Workflow B: Design Replication (Imitation)
**Goal:** Create a design system and prototypes based on existing local references.
**Primary Command:** `imitate-auto`
**Steps:**
1. **Initiate**: User runs `/workflow:ui-design:imitate-auto --input "design-refs/*.png"` with local reference files
2. **Input Detection**: System detects input type (images, code files, or text)
3. **Extraction**: System extracts a unified design system (style, layout, animation) from the references.
4. **Assembly**: System creates prototypes using the extracted system.
**Example:**
```bash
# Using reference images
/workflow:ui-design:imitate-auto \
--input "design-refs/*.png" \
--session WFS-002
# Or importing from existing code
/workflow:ui-design:imitate-auto \
--input "./src/components" \
--session WFS-002
```
**Output:**
- `design-tokens.json` (unified style system)
- `layout-templates.json` (page structures)
- HTML prototypes based on the input references
---
### Workflow C: Code-First Bootstrap
**Goal:** Create a design system from an existing codebase.
**Primary Command:** `import-from-code`
**Steps:**
1. **Initiate**: User runs `/workflow:ui-design:import-from-code --base-path ./src`
2. **Analysis**: Parallel agents analyze CSS, JS, and HTML to find tokens, layouts, and animations.
3. **Reporting**: Generates completeness reports and initial token files.
4. **Supplement (Optional)**: Run `style-extract` or `layout-extract` to fill gaps identified in the reports.
**Example:**
```bash
/workflow:ui-design:import-from-code \
--base-path ./src/components \
--session WFS-003
```
**Output:**
- `design-tokens.json` (extracted from CSS variables, theme files)
- `layout-templates.json` (extracted from component structures)
- `completeness-report.md` (gaps and recommendations)
- `import-summary.json` (statistics and findings)
---
## Architecture & Best Practices
### Separation of Concerns
**Always keep design tokens separate from layout templates:**
- `design-tokens.json` (Style) - Colors, typography, spacing, shadows
- `layout-templates.json` (Structure) - DOM hierarchy, CSS layout rules
- `animation-tokens.json` (Motion) - Transitions, keyframes, timing functions
### Token-First CSS
Generated CSS should primarily use CSS custom properties:
```css
/* Good - Token-based */
.button {
background: var(--color-primary);
padding: var(--spacing-md);
border-radius: var(--radius-md);
}
/* Avoid - Hardcoded */
.button {
background: #3b82f6;
padding: 16px;
border-radius: 8px;
}
```
### Style-Centric Batching
For high-volume generation:
- Group tasks by style to minimize context switching
- Use parallel generation with multiple targets
- Reuse existing layout inspirations
### Input Quality Guidelines
**For Prompts:**
- Specify the desired *vibe* (e.g., "minimalist, high-contrast")
- Specify the *targets* (e.g., "dashboard, settings page")
- Include functional requirements (e.g., "responsive, mobile-first")
**For Local References:**
- Use high-quality reference images (PNG, JPG)
- Organize files in accessible directories
- For code imports, ensure files are properly structured (CSS, JS, HTML)
---
## Advanced Usage
### Multi-Session Workflows
You can run UI design workflows within an existing workflow session:
```bash
# 1. Start a workflow session
/workflow:session:start --new
# 2. Run exploratory design
/workflow:ui-design:explore-auto --prompt "E-commerce checkout flow" --session <session-id>
# 3. Update main session with design artifacts
/workflow:ui-design:update --session <session-id> --selected-prototypes "v1,v2"
```
### Combining Workflows
**Example: Imitation + Custom Extraction**
```bash
# 1. Import design from local references
/workflow:ui-design:imitate-auto --input "design-refs/*.png"
# 2. Extract additional layouts and generate prototypes
/workflow:ui-design:layout-extract --targets "new-page-1,new-page-2"
/workflow:ui-design:generate
```
### Deep Interactive Capture
For complex UIs with overlays, modals, or dynamic content:
```bash
/workflow:ui-design:explore-layers \
--url https://complex-app.com \
--depth 3 \
--session WFS-005
```
---
## Troubleshooting
| Issue | Likely Cause | Resolution |
|-------|--------------|------------|
| **Missing Design Tokens** | `style-extract` failed or wasn't run | Run `/workflow:ui-design:style-extract` manually or check logs |
| **Inaccurate Layouts** | Complex DOM structure not captured | Use `--urls` in `layout-extract` for Chrome DevTools analysis |
| **Empty Screenshots** | Anti-bot measures or timeout | Use `explore-layers` interactive mode or increase timeout |
| **Generation Stalls** | Too many concurrent tasks | System defaults to max 6 parallel tasks; check resources |
| **Integration Failures** | Session ID mismatch or missing markers | Ensure `--session <id>` matches active workflow session |
| **Low Quality Tokens** | Insufficient reference material | Provide multiple reference images/URLs for better token extraction |
| **Inconsistent Styles** | Multiple token files without merge | Use single unified `design-tokens.json` or explicit variants |
---
## Command Reference Quick Links
### Orchestrators
- `/workflow:ui-design:explore-auto` - Create new designs from prompts
- `/workflow:ui-design:imitate-auto` - Replicate existing designs
### Extractors
- `/workflow:ui-design:style-extract` - Extract visual design tokens
- `/workflow:ui-design:layout-extract` - Extract layout structures
- `/workflow:ui-design:animation-extract` - Extract motion patterns
### Utilities
- `/workflow:ui-design:capture` - Batch screenshot capture
- `/workflow:ui-design:explore-layers` - Interactive deep capture
- `/workflow:ui-design:import-from-code` - Bootstrap from existing code
- `/workflow:ui-design:generate` - Assemble prototypes from tokens
- `/workflow:ui-design:update` - Integrate with workflow sessions
---
## Performance Optimization
### Parallel Execution
The system is designed to run extraction phases in parallel:
- Animation and layout extraction can run concurrently
- Multiple target generation runs in parallel (default: max 6)
- Style variant generation is parallelized
### Reuse Intermediates
- Generation commands reuse existing layout inspirations
- Cached screenshots avoid redundant captures
- Token files can be versioned and reused
### Resource Management
- Each agent task consumes memory and CPU
- Monitor system resources with large batch operations
- Consider splitting large batches into smaller chunks
---
## Related Guides
- **Getting Started** - Basic workflow concepts
- **Workflow Patterns** - General workflow guidance
- **CLI Tools Guide** - CLI integration strategies
- **Troubleshooting** - Common issues and solutions

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@@ -1,662 +0,0 @@
# 常见工作流模式
> 学习如何组合命令完成复杂任务,提升开发效率
## 🎯 什么是工作流?
工作流是**一系列命令的组合**用于完成特定的开发目标。Claude DMS3 提供了多种工作流模式,覆盖从规划到测试的完整开发周期。
**核心概念**
- **工作流Workflow**:一组相关任务的集合
- **任务Task**:独立的工作单元,有明确的输入和输出
- **Session**:工作流的执行实例,记录所有任务状态
- **上下文Context**:任务执行所需的代码、文档、配置等信息
---
## 💡 Pattern 0: 头脑风暴从0到1的第一步
**⚠️ 重要**:这是**从0到1开发的起点**!在开始编码之前,通过多角色头脑风暴明确需求、技术选型和架构决策。
**适用场景**
- 全新项目启动,需求和技术方案不明确
- 重大功能开发,涉及多个技术领域和权衡
- 架构决策,需要多角色视角分析
**流程**:话题分析 → 角色选择 → 角色问答 → 冲突解决 → 生成指导文档
### 模式 A交互式头脑风暴推荐
**特点**:通过问答交互,逐步明确需求和决策
```bash
# 步骤 1启动头脑风暴
/workflow:brainstorm:artifacts "
GOAL: 实现实时协作编辑平台
SCOPE: 支持100+用户同时在线,低延迟(<100ms),冲突自动解决
CONTEXT: MVP阶段3个月上线团队5人2前端+2后端+1全栈
" --count 3
# 系统输出 Phase 0自动收集项目上下文
# ✅ 分析现有代码库结构
# ✅ 加载相关文档
# ✅ 识别技术栈和依赖
# 系统输出 Phase 1意图分析2-4个问题
# 【问题1 - 核心挑战】实时协作的主要技术挑战?
# a) 实时数据同步
# b) 可扩展性架构
# c) 冲突解决机制
# 【问题2 - 优先级】MVP阶段最关注
# a) 功能完整性
# b) 用户体验
# c) 系统稳定性
# 请回答 (格式: 1a 2c)
# 用户输入1c 2b
# 系统输出 Phase 2角色选择推荐 count+2 个角色)
# 【角色选择】请选择 3 个角色参与头脑风暴
# a) system-architect (系统架构师) - 实时同步架构设计
# b) ui-designer (UI设计师) - 协作界面用户体验
# c) product-manager (产品经理) - 功能优先级决策
# d) data-architect (数据架构师) - 数据同步模型设计
# e) ux-expert (UX专家) - 多用户协作交互流程
# 请输入选择 (格式: 2acd 或 2a 2c 2d)
# 用户输入2acd
# 系统输出 Phase 3角色问题每个角色 3-4 个问题)
# ===== system-architect 问题 =====
# 【问题1】100+ 用户实时状态同步方案?
# a) Event Sourcing - 完整事件历史,易于回溯
# b) 集中式状态管理 - 简单直接适合MVP
# c) CRDT - 自动冲突解决,分布式友好
# 【问题2】低延迟通信协议选择
# ...
# 请回答:
# 用户输入1c 2a 3b 4c
# 系统输出 Phase 4冲突检测和解决
# 【冲突1】CRDT 与 UI 回滚期望冲突
# Background: system-architect 选择 CRDT但 ui-designer 期望回滚UI
# a) 采用 CRDT显示合并状态
# b) 切换到 OT 算法支持回滚
# c) 混合方案CRDT + 本地撤销栈
# ...
# 系统输出 Phase 5生成指导文档
# ✅ 生成 guidance-specification.md
# ✅ 记录所有决策和理由
# ✅ 标注冲突解决方案
# 📁 文件位置:.workflow/WFS-realtime-collab/.brainstorming/guidance-specification.md
# 步骤 2查看生成的指导文档
cat .workflow/WFS-*//.brainstorming/guidance-specification.md
```
### 模式 B自动并行头脑风暴快速
**特点**:自动选择角色,并行执行,快速生成多角色分析
```bash
# 步骤 1一键启动并行头脑风暴
/workflow:brainstorm:auto-parallel "
GOAL: 实现支付处理模块
SCOPE: 支持微信/支付宝/银行卡日交易10万笔99.99%可用性
CONTEXT: 金融合规要求PCI DSS认证风控系统集成
" --count 4
# 系统输出:
# ✅ Phase 0: 收集项目上下文
# ✅ Phase 1-2: artifacts 交互式框架生成
# ⏳ Phase 3: 4个角色并行分析
# - system-architect → 分析中...
# - data-architect → 分析中...
# - product-manager → 分析中...
# - subject-matter-expert → 分析中...
# ✅ Phase 4: synthesis 综合分析
# 📁 输出文件:
# - .brainstorming/guidance-specification.md (框架)
# - system-architect/analysis.md
# - data-architect/analysis.md
# - product-manager/analysis.md
# - subject-matter-expert/analysis.md
# - synthesis/final-recommendations.md
# 步骤 2查看综合建议
cat .workflow/WFS-*//.brainstorming/synthesis/final-recommendations.md
```
### 模式 C单角色深度分析特定领域
**特点**:针对特定领域问题,调用单个角色深度分析
```bash
# 系统架构分析
/workflow:brainstorm:system-architect "API 网关架构设计支持10万QPS微服务集成"
# UI 设计分析
/workflow:brainstorm:ui-designer "管理后台界面设计,复杂数据展示,操作效率优先"
# 数据架构分析
/workflow:brainstorm:data-architect "分布式数据存储方案MySQL+Redis+ES 组合"
```
### 关键点
1. **Phase 0 自动上下文收集**
- 自动分析现有代码库、文档、技术栈
- 识别潜在冲突和集成点
- 为后续问题生成提供上下文
2. **动态问题生成**
- 基于话题关键词和项目上下文生成问题
- 不使用预定义模板
- 问题直接针对你的具体场景
3. **智能角色推荐**
- 基于话题分析推荐最相关的角色
- 推荐 count+2 个角色供选择
- 每个角色都有基于话题的推荐理由
4. **输出物**
- `guidance-specification.md` - 确认的指导规范(决策、理由、集成点)
- `{role}/analysis.md` - 各角色详细分析(仅 auto-parallel 模式)
- `synthesis/final-recommendations.md` - 综合建议(仅 auto-parallel 模式)
5. **下一步**
- 头脑风暴完成后,使用 `/workflow:plan` 基于指导文档生成实施计划
- 指导文档作为规划和实现的权威参考
### 使用场景对比
| 场景 | 推荐模式 | 原因 |
|------|---------|------|
| 全新项目启动 | 交互式 (artifacts) | 需要充分澄清需求和约束 |
| 重大架构决策 | 交互式 (artifacts) | 需要深入讨论权衡 |
| 快速原型验证 | 自动并行 (auto-parallel) | 快速获得多角色建议 |
| 特定技术问题 | 单角色 (specific role) | 专注某个领域深度分析 |
---
## 📋 Pattern 1: 规划→执行(最常用)
**适用场景**:实现新功能、新模块
**流程**:规划 → 执行 → 查看状态
### 完整示例
```bash
# 步骤 1规划任务
/workflow:plan --agent "实现用户认证模块"
# 系统输出:
# ✅ 规划完成
# 📁 Session: WFS-20251106-123456
# 📋 生成 5 个任务
# 步骤 2执行任务
/workflow:execute
# 系统输出:
# ⏳ 执行 task-001-user-model...
# ✅ task-001 完成
# ⏳ 执行 task-002-login-api...
# ...
# 步骤 3查看状态
/workflow:status
# 系统输出:
# Session: WFS-20251106-123456
# Total: 5 | Completed: 5 | Pending: 0
```
**关键点**
- `--agent` 参数使用 AI 生成更详细的计划
- 系统自动发现最新 session无需手动指定
- 所有任务按依赖顺序自动执行
---
## 🧪 Pattern 2: TDD测试驱动开发
**适用场景**:需要高质量代码和测试覆盖
**流程**TDD规划 → 执行(红→绿→重构)→ 验证
### 完整示例
```bash
# 步骤 1TDD 规划
/workflow:tdd-plan --agent "实现购物车功能"
# 系统输出:
# ✅ TDD 任务链生成
# 📋 Red-Green-Refactor 周期:
# - task-001-cart-tests (RED)
# - task-002-cart-implement (GREEN)
# - task-003-cart-refactor (REFACTOR)
# 步骤 2执行 TDD 周期
/workflow:execute
# 系统会自动:
# 1. 生成失败的测试RED
# 2. 实现代码让测试通过GREEN
# 3. 重构代码REFACTOR
# 步骤 3验证 TDD 合规性
/workflow:tdd-verify
# 系统输出:
# ✅ TDD 周期完整
# ✅ 测试覆盖率: 95%
# ✅ Red-Green-Refactor 合规
```
**关键点**
- TDD 模式自动生成测试优先的任务链
- 每个任务有依赖关系,确保正确的顺序
- 验证命令检查 TDD 合规性
---
## 🔄 Pattern 3: 测试生成
**适用场景**:已有代码,需要生成测试
**流程**:分析代码 → 生成测试策略 → 执行测试生成
### 完整示例
```bash
# 步骤 1实现功能已完成
# 假设已经完成实现session 为 WFS-20251106-123456
# 步骤 2生成测试
/workflow:test-gen WFS-20251106-123456
# 系统输出:
# ✅ 分析实现代码
# ✅ 生成测试策略
# 📋 创建测试任务WFS-test-20251106-789
# 步骤 3执行测试生成
/workflow:test-cycle-execute --resume-session WFS-test-20251106-789
# 系统输出:
# ⏳ 生成测试用例...
# ⏳ 执行测试...
# ❌ 3 tests failed
# ⏳ 修复失败测试...
# ✅ All tests passed
```
**关键点**
- `test-gen` 分析现有代码生成测试
- `test-cycle-execute` 自动生成→测试→修复循环
- 最多迭代 N 次直到所有测试通过
---
## 🎨 Pattern 4: UI 设计工作流
**适用场景**:基于设计稿或现有网站实现 UI
**流程**:提取样式 → 提取布局 → 生成原型 → 更新
### 完整示例
```bash
# 步骤 1提取设计样式
/workflow:ui-design:style-extract \
--images "design/*.png" \
--mode imitate \
--variants 3
# 系统输出:
# ✅ 提取颜色系统
# ✅ 提取字体系统
# ✅ 生成 3 个样式变体
# 步骤 2提取页面布局
/workflow:ui-design:layout-extract \
--urls "https://example.com/dashboard" \
--device-type responsive
# 系统输出:
# ✅ 提取布局结构
# ✅ 识别组件层次
# ✅ 生成响应式布局
# 步骤 3生成 UI 原型
/workflow:ui-design:generate \
--style-variants 2 \
--layout-variants 2
# 系统输出:
# ✅ 生成 4 个原型组合
# 📁 输出:.workflow/ui-design/prototypes/
# 步骤 4更新最终版本
/workflow:ui-design:update \
--session ui-session-id \
--selected-prototypes "proto-1,proto-3"
# 系统输出:
# ✅ 应用最终设计系统
# ✅ 更新所有原型
```
**关键点**
- 支持从图片或 URL 提取设计
- 可生成多个变体供选择
- 最终更新使用确定的设计系统
---
## 🔍 Pattern 5: 代码分析→重构
**适用场景**:优化现有代码,提高可维护性
**流程**:分析现状 → 制定计划 → 执行重构 → 生成测试
### 完整示例
```bash
# 步骤 1分析代码质量
/cli:analyze --tool gemini --cd src/auth \
"评估认证模块的代码质量、可维护性和潜在问题"
# 系统输出:
# ✅ 识别 3 个设计问题
# ✅ 发现 5 个性能瓶颈
# ✅ 建议 7 项改进
# 步骤 2制定重构计划
/cli:mode:plan --tool gemini --cd src/auth \
"基于上述分析,制定认证模块重构方案"
# 系统输出:
# ✅ 重构计划生成
# 📋 包含 8 个重构任务
# 步骤 3执行重构
/cli:execute --tool codex \
"按照重构计划执行认证模块重构"
# 步骤 4生成测试确保正确性
/workflow:test-gen WFS-refactor-session-id
```
**关键点**
- Gemini 用于分析和规划(理解)
- Codex 用于执行实现(重构)
- 重构后必须生成测试验证
---
## 📚 Pattern 6: 文档生成
**适用场景**:为项目或模块生成文档
**流程**:分析代码 → 生成文档 → 更新索引
### 完整示例
```bash
# 方式 1为单个模块生成文档
/memory:docs src/auth --tool gemini --mode full
# 系统输出:
# ✅ 分析模块结构
# ✅ 生成 CLAUDE.md
# ✅ 生成 API 文档
# ✅ 生成使用指南
# 方式 2更新所有模块文档
/memory:update-full --tool gemini
# 系统输出:
# ⏳ 按层级更新文档...
# ✅ Layer 3: 12 modules updated
# ✅ Layer 2: 5 modules updated
# ✅ Layer 1: 2 modules updated
# 方式 3只更新修改过的模块
/memory:update-related --tool gemini
# 系统输出:
# ✅ 检测 git 变更
# ✅ 更新 3 个相关模块
```
**关键点**
- `--mode full` 生成完整文档
- `update-full` 适用于初始化或大规模更新
- `update-related` 适用于日常增量更新
---
## 🔄 Pattern 7: 恢复和继续
**适用场景**:中断后继续工作,或修复失败的任务
**流程**:查看状态 → 恢复 session → 继续执行
### 完整示例
```bash
# 步骤 1查看所有 session
/workflow:status
# 系统输出:
# Session: WFS-20251106-123456 (5/10 completed)
# Session: WFS-20251105-234567 (10/10 completed)
# 步骤 2恢复特定 session
/workflow:resume WFS-20251106-123456
# 系统输出:
# ✅ Session 恢复
# 📋 5/10 tasks completed
# ⏳ 待执行: task-006, task-007, ...
# 步骤 3继续执行
/workflow:execute --resume-session WFS-20251106-123456
# 系统输出:
# ⏳ 继续执行 task-006...
# ✅ task-006 完成
# ...
```
**关键点**
- 所有 session 状态都被保存
- 可以随时恢复中断的工作流
- 恢复时自动分析进度和待办任务
---
## 🎯 Pattern 8: 快速实现Codex YOLO
**适用场景**:快速实现简单功能,跳过规划
**流程**:直接执行 → 完成
### 完整示例
```bash
# 一键实现功能
/cli:codex-execute --verify-git \
"实现用户头像上传功能:
- 支持 jpg/png 格式
- 自动裁剪为 200x200
- 压缩到 100KB 以下
- 上传到 OSS
"
# 系统输出:
# ⏳ 分析需求...
# ⏳ 生成代码...
# ⏳ 集成现有代码...
# ✅ 功能实现完成
# 📁 修改文件:
# - src/api/upload.ts
# - src/utils/image.ts
```
**关键点**
- 适合简单、独立的功能
- `--verify-git` 确保 git 状态干净
- 自动分析需求并完整实现
---
## 🤝 Pattern 9: 多工具协作
**适用场景**:复杂任务需要多个 AI 工具配合
**流程**Gemini 分析 → Gemini/Qwen 规划 → Codex 实现
### 完整示例
```bash
# 步骤 1Gemini 深度分析
/cli:analyze --tool gemini \
"分析支付模块的安全性和性能问题"
# 步骤 2多工具讨论方案
/cli:discuss-plan --topic "支付模块重构方案" --rounds 3
# 系统输出:
# Round 1:
# Gemini: 建议方案 A关注安全
# Codex: 建议方案 B关注性能
# Round 2:
# Gemini: 综合分析...
# Codex: 技术实现评估...
# Round 3:
# 最终方案: 方案 C安全+性能)
# 步骤 3Codex 执行实现
/cli:execute --tool codex "按照方案 C 重构支付模块"
```
**关键点**
- `discuss-plan` 让多个 AI 讨论方案
- 每个工具贡献自己的专长
- 最终选择综合最优方案
---
## 📊 工作流选择指南
**核心区分**从0到1 vs 功能新增
- **从0到1**:全新项目、新产品、重大架构决策 → **必须头脑风暴**
- **功能新增**:已有项目中添加功能 → **可直接规划**
```mermaid
graph TD
A[我要做什么?] --> B{项目阶段?}
B -->|从0到1<br/>全新项目/产品| Z[💡头脑风暴<br/>必经阶段]
B -->|功能新增<br/>已有项目| C{任务类型?}
Z --> Z1[/workflow:brainstorm:artifacts<br/>或<br/>/workflow:brainstorm:auto-parallel]
Z1 --> Z2[⬇️ 生成指导文档]
Z2 --> C
C -->|新功能| D[规划→执行]
C -->|需要测试| E{代码是否存在?}
C -->|UI开发| F[UI设计工作流]
C -->|代码优化| G[分析→重构]
C -->|生成文档| H[文档生成]
C -->|快速实现| I[Codex YOLO]
E -->|不存在| J[TDD工作流]
E -->|已存在| K[测试生成]
D --> L[/workflow:plan<br/>↓<br/>/workflow:execute]
J --> M[/workflow:tdd-plan<br/>↓<br/>/workflow:execute]
K --> N[/workflow:test-gen<br/>↓<br/>/workflow:test-cycle-execute]
F --> O[/workflow:ui-design:*]
G --> P[/cli:analyze<br/>↓<br/>/cli:mode:plan<br/>↓<br/>/cli:execute]
H --> Q[/memory:docs]
I --> R[/cli:codex-execute]
```
**说明**
- **从0到1场景**:创业项目、新产品线、系统重构 → 头脑风暴明确方向后再规划
- **功能新增场景**:现有系统添加模块、优化现有功能 → 直接进入规划或分析
---
## 💡 最佳实践
### ✅ 推荐做法
1. **复杂任务使用完整工作流**
```bash
/workflow:plan → /workflow:execute → /workflow:test-gen
```
2. **简单任务使用 Codex YOLO**
```bash
/cli:codex-execute "快速实现xxx"
```
3. **重要代码使用 TDD**
```bash
/workflow:tdd-plan → /workflow:execute → /workflow:tdd-verify
```
4. **定期更新文档**
```bash
/memory:update-related # 每次提交前
```
5. **善用恢复功能**
```bash
/workflow:status → /workflow:resume
```
---
### ❌ 避免做法
1. **⚠️ 不要在从0到1场景跳过头脑风暴**
- ❌ 全新项目直接 `/workflow:plan`
- ✅ 先 `/workflow:brainstorm:artifacts` 明确方向再规划
2. **不要跳过规划直接执行复杂任务**
- ❌ 直接 `/cli:execute` 实现复杂功能
- ✅ 先 `/workflow:plan` 再 `/workflow:execute`
3. **不要忽略测试**
- ❌ 实现完成后不生成测试
- ✅ 使用 `/workflow:test-gen` 生成测试
4. **不要遗忘文档**
- ❌ 代码实现后忘记更新文档
- ✅ 使用 `/memory:update-related` 自动更新
---
## 🔗 相关资源
- **快速入门**[Getting Started](getting-started.md) - 5分钟上手
- **CLI 工具**[CLI Tools Guide](cli-tools-guide.md) - Gemini/Qwen/Codex 详解
- **UI设计工作流**[UI Design Workflow Guide](ui-design-workflow-guide.md) - UI设计完整指南
- **问题排查**[Troubleshooting](troubleshooting.md) - 常见问题解决
- **完整命令列表**:查看 `index/all-commands.json`
---
**最后更新**: 2025-11-06
记住:选择合适的工作流模式,事半功倍!不确定用哪个?使用 `ccw` 询问 Command Guide

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@@ -1,772 +0,0 @@
[
{
"name": "cli-init",
"command": "/cli:cli-init",
"description": "Generate .gemini/ and .qwen/ config directories with settings.json and ignore files based on workspace technology detection",
"arguments": "[--tool gemini|qwen|all] [--output path] [--preview]",
"category": "cli",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "cli/cli-init.md"
},
{
"name": "enhance-prompt",
"command": "/enhance-prompt",
"description": "Enhanced prompt transformation using session memory and intent analysis with --enhance flag detection",
"arguments": "user input to enhance",
"category": "general",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "enhance-prompt.md"
},
{
"name": "code-map-memory",
"command": "/memory:code-map-memory",
"description": "3-phase orchestrator: parse feature keyword → cli-explore-agent analyzes (Deep Scan dual-source) → orchestrator generates Mermaid docs + SKILL package (skips phase 2 if exists)",
"arguments": "\\\"feature-keyword\\\" [--regenerate] [--tool <gemini|qwen>]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/code-map-memory.md"
},
{
"name": "docs-full-cli",
"command": "/memory: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",
"arguments": "[path] [--tool <gemini|qwen|codex>]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/docs-full-cli.md"
},
{
"name": "docs-related-cli",
"command": "/memory: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",
"arguments": "[--tool <gemini|qwen|codex>]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/docs-related-cli.md"
},
{
"name": "docs",
"command": "/memory:docs",
"description": "Plan documentation workflow with dynamic grouping (≤10 docs/task), generates IMPL tasks for parallel module trees, README, ARCHITECTURE, and HTTP API docs",
"arguments": "[path] [--tool <gemini|qwen|codex>] [--mode <full|partial>] [--cli-execute]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/docs.md"
},
{
"name": "load-skill-memory",
"command": "/memory:load-skill-memory",
"description": "Activate SKILL package (auto-detect from paths/keywords or manual) and intelligently load documentation based on task intent keywords",
"arguments": "[skill_name] \\\"task intent description\\",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/load-skill-memory.md"
},
{
"name": "load",
"command": "/memory:load",
"description": "Delegate to universal-executor agent to analyze project via Gemini/Qwen CLI and return JSON core content package for task context",
"arguments": "[--tool gemini|qwen] \\\"task context description\\",
"category": "memory",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "memory/load.md"
},
{
"name": "skill-memory",
"command": "/memory:skill-memory",
"description": "4-phase autonomous orchestrator: check docs → /memory:docs planning → /workflow:execute → generate SKILL.md with progressive loading index (skips phases 2-3 if docs exist)",
"arguments": "[path] [--tool <gemini|qwen|codex>] [--regenerate] [--mode <full|partial>] [--cli-execute]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/skill-memory.md"
},
{
"name": "style-skill-memory",
"command": "/memory:style-skill-memory",
"description": "Generate SKILL memory package from style reference for easy loading and consistent design system usage",
"arguments": "[package-name] [--regenerate]",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/style-skill-memory.md"
},
{
"name": "tech-research",
"command": "/memory: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)",
"arguments": "[session-id | tech-stack-name] [--regenerate] [--tool <gemini|qwen>]",
"category": "memory",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "memory/tech-research.md"
},
{
"name": "update-full",
"command": "/memory:update-full",
"description": "Update all CLAUDE.md files using layer-based execution (Layer 3→1) with batched agents (4 modules/agent) and gemini→qwen→codex fallback, <20 modules uses direct parallel",
"arguments": "[--tool gemini|qwen|codex] [--path <directory>]",
"category": "memory",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "memory/update-full.md"
},
{
"name": "update-related",
"command": "/memory:update-related",
"description": "Update CLAUDE.md for git-changed modules using batched agent execution (4 modules/agent) with gemini→qwen→codex fallback, <15 modules uses direct execution",
"arguments": "[--tool gemini|qwen|codex]",
"category": "memory",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "memory/update-related.md"
},
{
"name": "workflow-skill-memory",
"command": "/memory:workflow-skill-memory",
"description": "Process WFS-* archived sessions using universal-executor agents with Gemini analysis to generate workflow-progress SKILL package (sessions-timeline, lessons, conflicts)",
"arguments": "session <session-id> | all",
"category": "memory",
"subcategory": null,
"usage_scenario": "documentation",
"difficulty": "Intermediate",
"file_path": "memory/workflow-skill-memory.md"
},
{
"name": "breakdown",
"command": "/task:breakdown",
"description": "Decompose complex task into subtasks with dependency mapping, creates child task JSONs with parent references and execution order",
"arguments": "task-id",
"category": "task",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "task/breakdown.md"
},
{
"name": "create",
"command": "/task:create",
"description": "Generate task JSON from natural language description with automatic file pattern detection, scope inference, and dependency analysis",
"arguments": "\\\"task title\\",
"category": "task",
"subcategory": null,
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "task/create.md"
},
{
"name": "execute",
"command": "/task:execute",
"description": "Execute task JSON using appropriate agent (@doc-generator/@implementation-agent/@test-agent) with pre-analysis context loading and status tracking",
"arguments": "task-id",
"category": "task",
"subcategory": null,
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "task/execute.md"
},
{
"name": "replan",
"command": "/task:replan",
"description": "Update task JSON with new requirements or batch-update multiple tasks from verification report, tracks changes in task-changes.json",
"arguments": "task-id [\\\"text\\\"|file.md] | --batch [verification-report.md]",
"category": "task",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "task/replan.md"
},
{
"name": "version",
"command": "/version",
"description": "Display Claude Code version information and check for updates",
"arguments": "",
"category": "general",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Beginner",
"file_path": "version.md"
},
{
"name": "action-plan-verify",
"command": "/workflow:action-plan-verify",
"description": "Perform non-destructive cross-artifact consistency analysis between IMPL_PLAN.md and task JSONs with quality gate validation",
"arguments": "[optional: --session session-id]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/action-plan-verify.md"
},
{
"name": "api-designer",
"command": "/workflow:brainstorm:api-designer",
"description": "Generate or update api-designer/analysis.md addressing guidance-specification discussion points for API design perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/api-designer.md"
},
{
"name": "artifacts",
"command": "/workflow:brainstorm:artifacts",
"description": "Interactive clarification generating confirmed guidance specification through role-based analysis and synthesis",
"arguments": "topic or challenge description [--count N]",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/artifacts.md"
},
{
"name": "auto-parallel",
"command": "/workflow:brainstorm:auto-parallel",
"description": "Parallel brainstorming automation with dynamic role selection and concurrent execution across multiple perspectives",
"arguments": "topic or challenge description\" [--count N]",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Advanced",
"file_path": "workflow/brainstorm/auto-parallel.md"
},
{
"name": "data-architect",
"command": "/workflow:brainstorm:data-architect",
"description": "Generate or update data-architect/analysis.md addressing guidance-specification discussion points for data architecture perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/data-architect.md"
},
{
"name": "product-manager",
"command": "/workflow:brainstorm:product-manager",
"description": "Generate or update product-manager/analysis.md addressing guidance-specification discussion points for product management perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/product-manager.md"
},
{
"name": "product-owner",
"command": "/workflow:brainstorm:product-owner",
"description": "Generate or update product-owner/analysis.md addressing guidance-specification discussion points for product ownership perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/product-owner.md"
},
{
"name": "scrum-master",
"command": "/workflow:brainstorm:scrum-master",
"description": "Generate or update scrum-master/analysis.md addressing guidance-specification discussion points for Agile process perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/scrum-master.md"
},
{
"name": "subject-matter-expert",
"command": "/workflow:brainstorm:subject-matter-expert",
"description": "Generate or update subject-matter-expert/analysis.md addressing guidance-specification discussion points for domain expertise perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/subject-matter-expert.md"
},
{
"name": "synthesis",
"command": "/workflow:brainstorm:synthesis",
"description": "Clarify and refine role analyses through intelligent Q&A and targeted updates with synthesis agent",
"arguments": "[optional: --session session-id]",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Advanced",
"file_path": "workflow/brainstorm/synthesis.md"
},
{
"name": "system-architect",
"command": "/workflow:brainstorm:system-architect",
"description": "Generate or update system-architect/analysis.md addressing guidance-specification discussion points for system architecture perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/system-architect.md"
},
{
"name": "ui-designer",
"command": "/workflow:brainstorm:ui-designer",
"description": "Generate or update ui-designer/analysis.md addressing guidance-specification discussion points for UI design perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/ui-designer.md"
},
{
"name": "ux-expert",
"command": "/workflow:brainstorm:ux-expert",
"description": "Generate or update ux-expert/analysis.md addressing guidance-specification discussion points for UX perspective",
"arguments": "optional topic - uses existing framework if available",
"category": "workflow",
"subcategory": "brainstorm",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/brainstorm/ux-expert.md"
},
{
"name": "execute",
"command": "/workflow:execute",
"description": "Coordinate agent execution for workflow tasks with automatic session discovery, parallel task processing, and status tracking",
"arguments": "[--resume-session=\\\"session-id\\\"]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "workflow/execute.md"
},
{
"name": "init",
"command": "/workflow:init",
"description": "Initialize project-level state with intelligent project analysis using cli-explore-agent",
"arguments": "[--regenerate]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/init.md"
},
{
"name": "lite-execute",
"command": "/workflow:lite-execute",
"description": "Execute tasks based on in-memory plan, prompt description, or file content",
"arguments": "[--in-memory] [\\\"task description\\\"|file-path]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "workflow/lite-execute.md"
},
{
"name": "lite-fix",
"command": "/workflow:lite-fix",
"description": "Lightweight bug diagnosis and fix workflow with intelligent severity assessment and optional hotfix mode for production incidents",
"arguments": "[--hotfix] \\\"bug description or issue reference\\",
"category": "workflow",
"subcategory": null,
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/lite-fix.md"
},
{
"name": "lite-plan",
"command": "/workflow:lite-plan",
"description": "Lightweight interactive planning workflow with in-memory planning, code exploration, and execution dispatch to lite-execute after user confirmation",
"arguments": "[-e|--explore] \\\"task description\\\"|file.md",
"category": "workflow",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/lite-plan.md"
},
{
"name": "plan",
"command": "/workflow:plan",
"description": "5-phase planning workflow with action-planning-agent task generation, outputs IMPL_PLAN.md and task JSONs",
"arguments": "\\\"text description\\\"|file.md",
"category": "workflow",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/plan.md"
},
{
"name": "replan",
"command": "/workflow:replan",
"description": "Interactive workflow replanning with session-level artifact updates and boundary clarification through guided questioning",
"arguments": "[--session session-id] [task-id] \\\"requirements\\\"|file.md [--interactive]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/replan.md"
},
{
"name": "review-fix",
"command": "/workflow: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.",
"arguments": "<export-file|review-dir> [--resume] [--max-iterations=N]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "analysis",
"difficulty": "Intermediate",
"file_path": "workflow/review-fix.md"
},
{
"name": "review-module-cycle",
"command": "/workflow: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.",
"arguments": "<path-pattern> [--dimensions=security,architecture,...] [--max-iterations=N]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "analysis",
"difficulty": "Intermediate",
"file_path": "workflow/review-module-cycle.md"
},
{
"name": "review-session-cycle",
"command": "/workflow: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.",
"arguments": "[session-id] [--dimensions=security,architecture,...] [--max-iterations=N]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "session-management",
"difficulty": "Intermediate",
"file_path": "workflow/review-session-cycle.md"
},
{
"name": "review",
"command": "/workflow:review",
"description": "Post-implementation review with specialized types (security/architecture/action-items/quality) using analysis agents and Gemini",
"arguments": "[--type=security|architecture|action-items|quality] [optional: session-id]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "analysis",
"difficulty": "Intermediate",
"file_path": "workflow/review.md"
},
{
"name": "complete",
"command": "/workflow:session:complete",
"description": "Mark active workflow session as complete, archive with lessons learned, update manifest, remove active flag",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"usage_scenario": "session-management",
"difficulty": "Intermediate",
"file_path": "workflow/session/complete.md"
},
{
"name": "list",
"command": "/workflow:session:list",
"description": "List all workflow sessions with status filtering, shows session metadata and progress information",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"usage_scenario": "general",
"difficulty": "Beginner",
"file_path": "workflow/session/list.md"
},
{
"name": "resume",
"command": "/workflow:session:resume",
"description": "Resume the most recently paused workflow session with automatic session discovery and status update",
"arguments": "",
"category": "workflow",
"subcategory": "session",
"usage_scenario": "session-management",
"difficulty": "Intermediate",
"file_path": "workflow/session/resume.md"
},
{
"name": "start",
"command": "/workflow:session:start",
"description": "Discover existing sessions or start new workflow session with intelligent session management and conflict detection",
"arguments": "[--type <workflow|review|tdd|test|docs>] [--auto|--new] [optional: task description for new session]",
"category": "workflow",
"subcategory": "session",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/session/start.md"
},
{
"name": "tdd-plan",
"command": "/workflow:tdd-plan",
"description": "TDD workflow planning with Red-Green-Refactor task chain generation, test-first development structure, and cycle tracking",
"arguments": "\\\"feature description\\\"|file.md",
"category": "workflow",
"subcategory": null,
"usage_scenario": "planning",
"difficulty": "Advanced",
"file_path": "workflow/tdd-plan.md"
},
{
"name": "tdd-verify",
"command": "/workflow:tdd-verify",
"description": "Verify TDD workflow compliance against Red-Green-Refactor cycles, generate quality report with coverage analysis",
"arguments": "[optional: WFS-session-id]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "testing",
"difficulty": "Advanced",
"file_path": "workflow/tdd-verify.md"
},
{
"name": "test-cycle-execute",
"command": "/workflow:test-cycle-execute",
"description": "Execute test-fix workflow with dynamic task generation and iterative fix cycles until test pass rate >= 95% or max iterations reached. Uses @cli-planning-agent for failure analysis and task generation.",
"arguments": "[--resume-session=\\\"session-id\\\"] [--max-iterations=N]",
"category": "workflow",
"subcategory": null,
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "workflow/test-cycle-execute.md"
},
{
"name": "test-fix-gen",
"command": "/workflow:test-fix-gen",
"description": "Create test-fix workflow session from session ID, description, or file path with test strategy generation and task planning",
"arguments": "(source-session-id | \\\"feature description\\\" | /path/to/file.md)",
"category": "workflow",
"subcategory": null,
"usage_scenario": "testing",
"difficulty": "Intermediate",
"file_path": "workflow/test-fix-gen.md"
},
{
"name": "test-gen",
"command": "/workflow:test-gen",
"description": "Create independent test-fix workflow session from completed implementation session, analyzes code to generate test tasks",
"arguments": "source-session-id",
"category": "workflow",
"subcategory": null,
"usage_scenario": "testing",
"difficulty": "Intermediate",
"file_path": "workflow/test-gen.md"
},
{
"name": "conflict-resolution",
"command": "/workflow:tools:conflict-resolution",
"description": "Detect and resolve conflicts between plan and existing codebase using CLI-powered analysis with Gemini/Qwen",
"arguments": "--session WFS-session-id --context path/to/context-package.json",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "general",
"difficulty": "Advanced",
"file_path": "workflow/tools/conflict-resolution.md"
},
{
"name": "gather",
"command": "/workflow:tools:gather",
"description": "Intelligently collect project context using context-search-agent based on task description, packages into standardized JSON",
"arguments": "--session WFS-session-id \\\"task description\\",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/tools/context-gather.md"
},
{
"name": "task-generate-agent",
"command": "/workflow:tools:task-generate-agent",
"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",
"arguments": "--session WFS-session-id",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "implementation",
"difficulty": "Advanced",
"file_path": "workflow/tools/task-generate-agent.md"
},
{
"name": "task-generate-tdd",
"command": "/workflow:tools:task-generate-tdd",
"description": "Autonomous TDD task generation using action-planning-agent with Red-Green-Refactor cycles, test-first structure, and cycle validation",
"arguments": "--session WFS-session-id",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "implementation",
"difficulty": "Advanced",
"file_path": "workflow/tools/task-generate-tdd.md"
},
{
"name": "tdd-coverage-analysis",
"command": "/workflow:tools:tdd-coverage-analysis",
"description": "Analyze test coverage and TDD cycle execution with Red-Green-Refactor compliance verification",
"arguments": "--session WFS-session-id",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "testing",
"difficulty": "Advanced",
"file_path": "workflow/tools/tdd-coverage-analysis.md"
},
{
"name": "test-concept-enhanced",
"command": "/workflow:tools:test-concept-enhanced",
"description": "Coordinate test analysis workflow using cli-execution-agent to generate test strategy via Gemini",
"arguments": "--session WFS-test-session-id --context path/to/test-context-package.json",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "testing",
"difficulty": "Intermediate",
"file_path": "workflow/tools/test-concept-enhanced.md"
},
{
"name": "test-context-gather",
"command": "/workflow:tools:test-context-gather",
"description": "Collect test coverage context using test-context-search-agent and package into standardized test-context JSON",
"arguments": "--session WFS-test-session-id",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "testing",
"difficulty": "Intermediate",
"file_path": "workflow/tools/test-context-gather.md"
},
{
"name": "test-task-generate",
"command": "/workflow:tools:test-task-generate",
"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",
"arguments": "--session WFS-test-session-id",
"category": "workflow",
"subcategory": "tools",
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "workflow/tools/test-task-generate.md"
},
{
"name": "animation-extract",
"command": "/workflow:ui-design:animation-extract",
"description": "Extract animation and transition patterns from prompt inference and image references for design system documentation",
"arguments": "[--design-id <id>] [--session <id>] [--images \"<glob>\"] [--focus \"<types>\"] [--interactive] [--refine]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/animation-extract.md"
},
{
"name": "workflow:ui-design:codify-style",
"command": "/workflow:ui-design:codify-style",
"description": "Orchestrator to extract styles from code and generate shareable reference package with preview (automatic file discovery)",
"arguments": "<path> [--package-name <name>] [--output-dir <path>] [--overwrite]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/codify-style.md"
},
{
"name": "design-sync",
"command": "/workflow:ui-design:design-sync",
"description": "Synchronize finalized design system references to brainstorming artifacts, preparing them for /workflow:plan consumption",
"arguments": "--session <session_id> [--selected-prototypes \"<list>\"]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/design-sync.md"
},
{
"name": "explore-auto",
"command": "/workflow:ui-design:explore-auto",
"description": "Interactive exploratory UI design workflow with style-centric batch generation, creates design variants from prompts/images with parallel execution and user selection",
"arguments": "[--input \"<value>\"] [--targets \"<list>\"] [--target-type \"page|component\"] [--session <id>] [--style-variants <count>] [--layout-variants <count>]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/explore-auto.md"
},
{
"name": "generate",
"command": "/workflow:ui-design:generate",
"description": "Assemble UI prototypes by combining layout templates with design tokens (default animation support), pure assembler without new content generation",
"arguments": "[--design-id <id>] [--session <id>]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "implementation",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/generate.md"
},
{
"name": "imitate-auto",
"command": "/workflow:ui-design:imitate-auto",
"description": "UI design workflow with direct code/image input for design token extraction and prototype generation",
"arguments": "[--input \"<value>\"] [--session <id>]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/imitate-auto.md"
},
{
"name": "workflow:ui-design:import-from-code",
"command": "/workflow:ui-design:import-from-code",
"description": "Import design system from code files (CSS/JS/HTML/SCSS) with automatic file discovery and parallel agent analysis",
"arguments": "[--design-id <id>] [--session <id>] [--source <path>]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/import-from-code.md"
},
{
"name": "layout-extract",
"command": "/workflow:ui-design:layout-extract",
"description": "Extract structural layout information from reference images or text prompts using Claude analysis with variant generation or refinement mode",
"arguments": "[--design-id <id>] [--session <id>] [--images \"<glob>\"] [--prompt \"<desc>\"] [--targets \"<list>\"] [--variants <count>] [--device-type <desktop|mobile|tablet|responsive>] [--interactive] [--refine]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/layout-extract.md"
},
{
"name": "workflow:ui-design:reference-page-generator",
"command": "/workflow:ui-design:reference-page-generator",
"description": "Generate multi-component reference pages and documentation from design run extraction",
"arguments": "[--design-run <path>] [--package-name <name>] [--output-dir <path>]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "planning",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/reference-page-generator.md"
},
{
"name": "style-extract",
"command": "/workflow:ui-design:style-extract",
"description": "Extract design style from reference images or text prompts using Claude analysis with variant generation or refinement mode",
"arguments": "[--design-id <id>] [--session <id>] [--images \"<glob>\"] [--prompt \"<desc>\"] [--variants <count>] [--interactive] [--refine]",
"category": "workflow",
"subcategory": "ui-design",
"usage_scenario": "general",
"difficulty": "Intermediate",
"file_path": "workflow/ui-design/style-extract.md"
}
]

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