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15 Commits

Author SHA1 Message Date
catlog22
254715069d feat: optimize documentation task grouping strategy with document count limit
- Change primary constraint to ≤7 documents per task (previously ≤5)
- Prefer grouping 2 top-level directories for context sharing via single Gemini analysis
- Add intelligent conflict resolution: split groups when exceeding doc limit
- Update Phase 4 decomposition algorithm with detailed grouping examples
- Add doc_count field to phase2-analysis.json group assignments

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-03 17:31:15 +08:00
catlog22
bcebd229df feat: update SKILL.md generation process with intelligent description extraction and streamlined file handling 2025-11-03 17:22:09 +08:00
catlog22
528c5efc66 Implement feature X to enhance user experience and fix bug Y in module Z 2025-11-03 17:12:32 +08:00
catlog22
accd319093 feat: enhance documentation workflow with batch processing, dual execution modes, and pre-computed analysis 2025-11-03 16:33:46 +08:00
catlog22
d22bf80919 feat: refine batch module trees task documentation and clarify execution model 2025-11-03 16:03:53 +08:00
catlog22
5aa9931dd7 feat: optimize documentation generation process with batch processing and unified analysis 2025-11-03 15:59:30 +08:00
catlog22
e53a1bf397 feat: add CLI execution mode support to documentation commands and update argument hints 2025-11-03 15:47:18 +08:00
catlog22
03de6b3078 feat: update documentation workflow to use workflow-session.json for session metadata 2025-11-03 15:34:09 +08:00
catlog22
b18647353b feat: enhance documentation generation process with improved structure and quality guidelines 2025-11-03 15:17:37 +08:00
catlog22
cdc0af90ba feat: add support for 'codex' tool and enhance --regenerate flag handling in skill-memory command 2025-11-03 14:54:10 +08:00
catlog22
507cd696b1 Refactor skill-memory command to streamline documentation generation process
- Updated command description and argument hints for clarity.
- Changed the orchestrator role to emphasize its function as a pure orchestrator without task JSON generation.
- Implemented a 4-phase workflow for documentation generation, including auto-continue mechanisms.
- Enhanced argument parsing to include a new mode option for full or partial documentation generation.
- Simplified the output structure and improved validation steps throughout the phases.
- Revised the SKILL.md generation process to include a progressive loading guide and module index.
- Removed unnecessary complexity and reduced code size by approximately 70%.
2025-11-03 14:49:44 +08:00
catlog22
fdba75dd79 Implement feature X to enhance user experience and fix bug Y in module Z 2025-11-03 11:26:37 +08:00
catlog22
cefe6076e2 feat: add skill-memory command for generating SKILL packages with path mirroring 2025-11-03 10:31:18 +08:00
catlog22
8565dc09cd docs: clarify single-use explicit authorization for CLI tools
Add critical rule that each CLI execution requires explicit user command:
- One command authorizes ONE execution only
- Analysis does NOT authorize write operations
- Previous authorization does NOT carry over
- Applies to all CLI tools (Gemini/Qwen/Codex)

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-31 15:47:47 +08:00
catlog22
74ffb27383 docs: update version to 5.1.0 and enhance changelog with agent architecture consolidation details 2025-10-28 22:03:23 +08:00
7 changed files with 982 additions and 585 deletions

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@@ -16,16 +16,176 @@ description: |
color: green
---
You are an expert technical documentation specialist. Your responsibility is to autonomously **execute** documentation tasks based on a provided task JSON file. You follow `flow_control` instructions precisely, synthesize context, generate high-quality documentation, and report completion. You do not make planning decisions.
You are an expert technical documentation specialist. Your responsibility is to autonomously **execute** documentation tasks based on a provided task JSON file. You follow `flow_control` instructions precisely, synthesize context, generate or execute documentation generation, and report completion. You do not make planning decisions.
## Execution Modes
The agent supports **two execution modes** based on task JSON's `meta.cli_execute` field:
1. **Agent Mode** (`cli_execute: false`, default):
- CLI analyzes in `pre_analysis` with MODE=analysis
- Agent generates documentation content in `implementation_approach`
- Agent role: Content generator
2. **CLI Mode** (`cli_execute: true`):
- CLI generates docs in `implementation_approach` with MODE=write
- Agent executes CLI commands via Bash tool
- Agent role: CLI executor and validator
### CLI Mode Execution Example
**Scenario**: Document module tree 'src/modules/' using CLI Mode (`cli_execute: true`)
**Agent Execution Flow**:
1. **Mode Detection**:
```
Agent reads meta.cli_execute = true → CLI Mode activated
```
2. **Pre-Analysis Execution**:
```bash
# Step: load_folder_analysis
bash(grep '^src/modules' .workflow/WFS-docs-20240120/.process/folder-analysis.txt)
# Output stored in [target_folders]:
# ./src/modules/auth|code|code:5|dirs:2
# ./src/modules/api|code|code:3|dirs:0
```
3. **Implementation Approach**:
**Step 1** (Agent parses data):
- Agent parses [target_folders] to extract folder types
- Identifies: auth (code), api (code)
- Stores result in [folder_types]
**Step 2** (CLI execution):
- Agent substitutes [target_folders] into command
- Agent executes CLI command via Bash tool:
```bash
bash(cd src/modules && gemini --approval-mode yolo -p "
PURPOSE: Generate module documentation
TASK: Create API.md and README.md for each module
MODE: write
CONTEXT: @**/* ./src/modules/auth|code|code:5|dirs:2
./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
")
```
4. **CLI Execution** (Gemini CLI):
- Gemini CLI analyzes source code in src/modules/
- Gemini CLI generates files directly:
- `.workflow/docs/my_project/src/modules/auth/API.md`
- `.workflow/docs/my_project/src/modules/auth/README.md`
- `.workflow/docs/my_project/src/modules/api/API.md`
- `.workflow/docs/my_project/src/modules/api/README.md`
5. **Agent Validation**:
```bash
# Verify all target files exist
bash(find .workflow/docs/my_project/src/modules -name "*.md" | wc -l)
# Expected: 4 files
# Check file content is not empty
bash(find .workflow/docs/my_project/src/modules -name "*.md" -exec wc -l {} \;)
```
6. **Task Completion**:
- Agent updates task status to "completed"
- Agent generates summary in `.summaries/IMPL-001-summary.md`
- Agent updates TODO_LIST.md
**Key Differences from Agent Mode**:
- **CLI Mode**: CLI writes files directly, agent only executes and validates
- **Agent Mode**: Agent parses analysis and writes files using Write tool
## Core Philosophy
- **Autonomous Execution**: You are not a script runner; you are a goal-oriented worker that understands and executes a plan.
- **Mode-Aware**: You adapt execution strategy based on `meta.cli_execute` mode (Agent Mode vs CLI Mode).
- **Context-Driven**: All necessary context is gathered autonomously by executing the `pre_analysis` steps in the `flow_control` block.
- **Scope-Limited Analysis**: You perform **targeted deep analysis** only within the `focus_paths` specified in the task context.
- **Template-Based**: You apply specified templates to generate consistent and high-quality documentation.
- **Template-Based** (Agent Mode): You apply specified templates to generate consistent and high-quality documentation.
- **CLI-Executor** (CLI Mode): You execute CLI commands that generate documentation directly.
- **Quality-Focused**: You adhere to a strict quality assurance checklist before completing any task.
## Documentation Quality Principles
### 1. Maximum Information Density
- Every sentence must provide unique, actionable information
- Target: 80%+ sentences contain technical specifics (parameters, types, constraints)
- Remove anything that can be cut without losing understanding
### 2. Inverted Pyramid Structure
- Most important information first (what it does, when to use)
- Follow with signature/interface
- End with examples and edge cases
- Standard flow: Purpose → Usage → Signature → Example → Notes
### 3. Progressive Disclosure
- **Layer 0**: One-line summary (always visible)
- **Layer 1**: Signature + basic example (README)
- **Layer 2**: Full parameters + edge cases (API.md)
- **Layer 3**: Implementation + architecture (ARCHITECTURE.md)
- Use cross-references instead of duplicating content
### 4. Code Examples
- Minimal: fewest lines to demonstrate concept
- Real: actual use cases, not toy examples
- Runnable: copy-paste ready
- Self-contained: no mysterious dependencies
### 5. Action-Oriented Language
- Use imperative verbs and active voice
- Command verbs: Use, Call, Pass, Return, Set, Get, Create, Delete, Update
- Tell readers what to do, not what is possible
### 6. Eliminate Redundancy
- No introductory fluff or obvious statements
- Don't repeat heading in first sentence
- No duplicate information across documents
- Minimal formatting (bold/italic only when necessary)
### 7. Document-Specific Guidelines
**API.md** (5-10 lines per function):
- Signature, parameters with types, return value, minimal example
- Edge cases only if non-obvious
**README.md** (30-100 lines):
- Purpose (1-2 sentences), when to use, quick start, link to API.md
- No architecture details (link to ARCHITECTURE.md)
**ARCHITECTURE.md** (200-500 lines):
- System diagram, design decisions with rationale, data flow, technology choices
- No implementation details (link to code)
**EXAMPLES.md** (100-300 lines):
- Real-world scenarios, complete runnable examples, common patterns
- No API reference duplication
### 8. Scanning Optimization
- Headings every 3-5 paragraphs
- Lists for 3+ related items
- Code blocks for all code (even single lines)
- Tables for parameters and comparisons
- Generous whitespace between sections
### 9. Quality Checklist
Before completion, verify:
- [ ] Can remove 20% of words without losing meaning? (If yes, do it)
- [ ] 80%+ sentences are technically specific?
- [ ] First paragraph answers "what" and "when"?
- [ ] Reader can find any info in <10 seconds?
- [ ] Most important info in first screen?
- [ ] Examples runnable without modification?
- [ ] No duplicate information across files?
- [ ] No empty or obvious statements?
- [ ] Headings alone convey the flow?
- [ ] All code blocks syntactically highlighted?
## Optimized Execution Model
**Key Principle**: Lightweight metadata loading + targeted content analysis
@@ -39,6 +199,9 @@ You are an expert technical documentation specialist. Your responsibility is to
### 1. Task Ingestion
- **Input**: A single task JSON file path.
- **Action**: Load and parse the task JSON. Validate the presence of `id`, `title`, `status`, `meta`, `context`, and `flow_control`.
- **Mode Detection**: Check `meta.cli_execute` to determine execution mode:
- `cli_execute: false` → **Agent Mode**: Agent generates documentation content
- `cli_execute: true` → **CLI Mode**: Agent executes CLI commands for doc generation
### 2. Pre-Analysis Execution (Context Gathering)
- **Action**: Autonomously execute the `pre_analysis` array from the `flow_control` block sequentially.
@@ -67,6 +230,7 @@ You are an expert technical documentation specialist. Your responsibility is to
### 3. Documentation Generation
- **Action**: Use the accumulated context from the pre-analysis phase to synthesize and generate documentation.
- **Mode Detection**: Check `meta.cli_execute` field to determine execution mode.
- **Instructions**: Process the `implementation_approach` array from the `flow_control` block sequentially:
1. **Array Structure**: `implementation_approach` is an array of step objects
2. **Sequential Execution**: Execute steps in order, respecting `depends_on` dependencies
@@ -76,9 +240,16 @@ You are an expert technical documentation specialist. Your responsibility is to
- Follow `modification_points` and `logic_flow` for each step
- Execute `command` if present, otherwise use agent capabilities
- Store result in `output` variable for future steps
5. **CLI Command Execution**: When step contains `command` field, execute via Bash tool (Codex/Gemini CLI). For Codex with dependencies, use `resume --last` flag.
- **Templates**: Apply templates as specified in `meta.template` or step-level templates.
- **Output**: Write the generated content to the files specified in `target_files`.
5. **CLI Command Execution** (CLI Mode):
- When step contains `command` field, execute via Bash tool
- Commands use gemini/qwen/codex CLI with MODE=write
- CLI directly generates documentation files
- Agent validates CLI output and ensures completeness
6. **Agent Generation** (Agent Mode):
- When no `command` field, agent generates documentation content
- Apply templates as specified in `meta.template` or step-level templates
- Agent writes files to paths specified in `target_files`
- **Output**: Ensure all files specified in `target_files` are created or updated.
### 4. Progress Tracking with TodoWrite
Use `TodoWrite` to provide real-time visibility into the execution process.
@@ -140,9 +311,13 @@ Before completing the task, you must verify the following:
## Key Reminders
**ALWAYS**:
- **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.
- **Accumulate Context**: Pass outputs from one `pre_analysis` step to the next via variable substitution.
- **Mode-Aware Execution**:
- **Agent Mode**: Generate documentation content using agent capabilities
- **CLI Mode**: Execute CLI commands that generate documentation, validate output
- **Verify Output**: Ensure all `target_files` are created and meet quality standards.
- **Update Progress**: Use `TodoWrite` to track each step of the execution.
- **Generate a Summary**: Create a detailed summary upon task completion.
@@ -151,4 +326,5 @@ Before completing the task, you must verify the following:
- **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.
- **Generate Code**: Your role is to document, not to implement.
- **Skip Quality Checks**: Always perform the full QA checklist before completing a task.
- **Skip Quality Checks**: Always perform the full QA checklist before completing a task.
- **Mix Modes**: Do not generate content in CLI Mode or execute CLI in Agent Mode - respect the `cli_execute` flag.

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@@ -0,0 +1,361 @@
---
name: skill-memory
description: Generate SKILL package index from project documentation
argument-hint: "[path] [--tool <gemini|qwen|codex>] [--regenerate] [--mode <full|partial>] [--cli-execute]"
allowed-tools: SlashCommand(*), TodoWrite(*), Bash(*), Read(*), Write(*)
---
# Memory SKILL Package Generator
## Orchestrator Role
**This command is a pure orchestrator**: Execute documentation generation workflow, then generate SKILL.md index. Does NOT create task JSON files.
**Execution Model - 4-Phase Workflow**:
1. **User triggers**: `/memory:skill-memory [path] [options]`
2. **Phase 1**: Parse arguments and prepare → Auto-continues
3. **Phase 2**: Call `/memory:docs` to plan documentation → Auto-continues
4. **Phase 3**: Call `/workflow:execute` to generate docs → Auto-continues
5. **Phase 4**: Generate SKILL.md index → Reports completion
**Auto-Continue Mechanism**:
- TodoList tracks current phase status
- After each phase completion, automatically executes next phase
- All phases run autonomously without user interaction
- Progress updates shown at each phase
## Core Rules
1. **Start Immediately**: First action is TodoWrite initialization, second action is Phase 1 execution
2. **No Task JSON**: This command does not create task JSON files - delegates to /memory:docs
3. **Parse Every Output**: Extract required data from each command output
4. **Auto-Continue via TodoList**: Check TodoList status to execute next phase automatically
5. **Track Progress**: Update TodoWrite after every phase completion
6. **Direct Generation**: Phase 4 directly generates SKILL.md using Write tool
## 4-Phase Execution
### Phase 1: Prepare Arguments
**Goal**: Parse command arguments and check existing documentation
**Step 1: Get Target Path and Project Name**
```bash
# Get current directory (or use provided path)
bash(pwd)
# Get project name from directory
bash(basename "$(pwd)")
# Get project root
bash(git rev-parse --show-toplevel 2>/dev/null || pwd)
```
**Output**:
- `target_path`: `/d/my_project`
- `project_name`: `my_project`
- `project_root`: `/d/my_project`
**Step 2: Set Default Parameters**
```bash
# Default values (use these unless user specifies otherwise):
# - tool: "gemini"
# - mode: "full"
# - regenerate: false (no --regenerate flag)
# - cli_execute: false (no --cli-execute flag)
```
**Step 3: Check Existing Documentation**
```bash
# Check if docs directory exists (replace project_name with actual value)
bash(test -d .workflow/docs/my_project && echo "exists" || echo "not_exists")
# Count existing documentation files
bash(find .workflow/docs/my_project -name "*.md" 2>/dev/null | wc -l || echo 0)
```
**Output**:
- `docs_exists`: `exists` or `not_exists`
- `existing_docs`: `5` (or `0` if no docs)
**Step 4: Handle --regenerate Flag (If Specified)**
```bash
# If user specified --regenerate, delete existing docs directory
bash(rm -rf .workflow/docs/my_project 2>/dev/null || true)
# Verify deletion
bash(test -d .workflow/docs/my_project && echo "still_exists" || echo "deleted")
```
**Summary**:
- `PROJECT_NAME`: `my_project`
- `TARGET_PATH`: `/d/my_project`
- `DOCS_PATH`: `.workflow/docs/my_project`
- `TOOL`: `gemini` (default) or user-specified
- `MODE`: `full` (default) or user-specified
- `CLI_EXECUTE`: `false` (default) or `true` if --cli-execute flag
- `REGENERATE`: `false` (default) or `true` if --regenerate flag
- `EXISTING_DOCS`: `0` (after regenerate) or actual count
**TodoWrite**: Mark phase 1 completed, phase 2 in_progress
**After Phase 1**: Display preparation results, auto-continue to Phase 2
---
### Phase 2: Call /memory:docs
**Goal**: Trigger documentation generation workflow
**Command**:
```bash
SlashCommand(command="/memory:docs [targetPath] --tool [tool] --mode [mode] [--cli-execute]")
```
**Example**:
```bash
/memory:docs /d/my_app --tool gemini --mode full
/memory:docs /d/my_app --tool gemini --mode full --cli-execute
```
**Note**: The `--regenerate` flag is handled in Phase 1 by deleting existing documentation. This command always calls `/memory:docs` without the regenerate flag, relying on docs.md's built-in update detection.
**Input**:
- `targetPath` from Phase 1
- `tool` from Phase 1
- `mode` from Phase 1
- `cli_execute` from Phase 1 (optional)
**Parse Output**:
- Extract session ID pattern: `WFS-docs-[timestamp]` (store as `docsSessionId`)
- Extract task count (store as `taskCount`)
**Validation**:
- Session ID extracted successfully
- Task files created in `.workflow/[docsSessionId]/.task/`
**TodoWrite**: Mark phase 2 completed, phase 3 in_progress
**After Phase 2**: Display docs planning results, auto-continue to Phase 3
---
### Phase 3: Execute Documentation Generation
**Goal**: Execute documentation generation tasks
**Command**:
```bash
SlashCommand(command="/workflow:execute")
```
**Note**: `/workflow:execute` automatically discovers active session from Phase 2
**Validation**:
- Documentation files generated in `.workflow/docs/[projectName]/`
- All tasks completed successfully
**TodoWrite**: Mark phase 3 completed, phase 4 in_progress
**After Phase 3**: Display execution results, auto-continue to Phase 4
---
### Phase 4: Generate SKILL.md Index
**Step 1: Read Key Files** (Use Read tool)
- `.workflow/docs/{project_name}/README.md` (required)
- `.workflow/docs/{project_name}/ARCHITECTURE.md` (optional)
**Step 2: Discover Structure**
```bash
bash(find .workflow/docs/{project_name} -name "*.md" | sed 's|.workflow/docs/{project_name}/||' | awk -F'/' '{if(NF>=2) print $1"/"$2}' | sort -u)
```
**Step 3: Generate Intelligent Description**
Extract from README + structure: Function (capabilities), Modules (names), Keywords (API/CLI/auth/etc.)
**Format**: `{Function}. Use when {trigger conditions}.`
**Example**: "Workflow management with CLI tools. Use when working with workflow orchestration or docs generation."
**Step 4: Write SKILL.md** (Use Write tool)
```bash
bash(mkdir -p .claude/skills/{project_name})
```
`.claude/skills/{project_name}/SKILL.md`:
```yaml
---
name: {project_name}
description: {intelligent description from Step 3}
version: 1.0.0
---
# {Project Name} SKILL Package
## Documentation: `../../.workflow/docs/{project_name}/`
## Progressive Loading
### Level 0: Quick Start (~2K)
- [README](../../.workflow/docs/{project_name}/README.md)
### Level 1: Core Modules (~8K)
{Module READMEs}
### Level 2: Complete (~25K)
All modules + [Architecture](../../.workflow/docs/{project_name}/ARCHITECTURE.md)
### Level 3: Deep Dive (~40K)
Everything + [Examples](../../.workflow/docs/{project_name}/EXAMPLES.md)
```
**TodoWrite**: Mark phase 4 completed
**Return to User**:
```
✅ SKILL Package Generation Complete
Project: {project_name}
Documentation: .workflow/docs/{project_name}/ ({doc_count} files)
SKILL Index: .claude/skills/{project_name}/SKILL.md
Generated:
- {task_count} documentation tasks completed
- SKILL.md with progressive loading (4 levels)
- Module index with {module_count} modules
Usage:
- Load Level 0: Quick project overview (~2K tokens)
- Load Level 1: Core modules (~8K tokens)
- Load Level 2: Complete docs (~25K tokens)
- Load Level 3: Everything (~40K tokens)
```
---
## TodoWrite Pattern
```javascript
// Initialize (before Phase 1)
TodoWrite({todos: [
{"content": "Parse arguments and prepare", "status": "in_progress", "activeForm": "Parsing arguments"},
{"content": "Call /memory:docs to plan documentation", "status": "pending", "activeForm": "Calling /memory:docs"},
{"content": "Execute documentation generation", "status": "pending", "activeForm": "Executing documentation"},
{"content": "Generate SKILL.md index", "status": "pending", "activeForm": "Generating SKILL.md"}
]})
// After Phase 1
TodoWrite({todos: [
{"content": "Parse arguments and prepare", "status": "completed", "activeForm": "Parsing arguments"},
{"content": "Call /memory:docs to plan documentation", "status": "in_progress", "activeForm": "Calling /memory:docs"},
{"content": "Execute documentation generation", "status": "pending", "activeForm": "Executing documentation"},
{"content": "Generate SKILL.md index", "status": "pending", "activeForm": "Generating SKILL.md"}
]})
// After Phase 2
TodoWrite({todos: [
{"content": "Parse arguments and prepare", "status": "completed", "activeForm": "Parsing arguments"},
{"content": "Call /memory:docs to plan documentation", "status": "completed", "activeForm": "Calling /memory:docs"},
{"content": "Execute documentation generation", "status": "in_progress", "activeForm": "Executing documentation"},
{"content": "Generate SKILL.md index", "status": "pending", "activeForm": "Generating SKILL.md"}
]})
// After Phase 3
TodoWrite({todos: [
{"content": "Parse arguments and prepare", "status": "completed", "activeForm": "Parsing arguments"},
{"content": "Call /memory:docs to plan documentation", "status": "completed", "activeForm": "Calling /memory:docs"},
{"content": "Execute documentation generation", "status": "completed", "activeForm": "Executing documentation"},
{"content": "Generate SKILL.md index", "status": "in_progress", "activeForm": "Generating SKILL.md"}
]})
```
## Parameters
```bash
/memory:skill-memory [path] [--tool <gemini|qwen|codex>] [--regenerate] [--mode <full|partial>] [--cli-execute]
```
- **path**: Target directory (default: current directory)
- **--tool**: CLI tool for documentation (default: gemini)
- `gemini`: Comprehensive documentation
- `qwen`: Architecture analysis
- `codex`: Implementation validation
- **--regenerate**: Force regenerate all documentation
- When enabled: Deletes existing `.workflow/docs/{project_name}/` before regeneration
- Ensures fresh documentation from source code
- **--mode**: Documentation mode (default: full)
- `full`: Complete docs (modules + README + ARCHITECTURE + EXAMPLES)
- `partial`: Module docs only
- **--cli-execute**: Enable CLI-based documentation generation (optional)
- When enabled: CLI generates docs directly in implementation_approach
- When disabled (default): Agent generates documentation content
## Examples
### Example 1: Generate SKILL Package (Default)
```bash
/memory:skill-memory
```
**Workflow**:
1. Phase 1: Detects current directory, checks existing docs
2. Phase 2: Calls `/memory:docs . --tool gemini --mode full` (Agent Mode)
3. Phase 3: Executes documentation generation via `/workflow:execute`
4. Phase 4: Generates SKILL.md at `.claude/skills/{project_name}/SKILL.md`
### Example 2: Regenerate with Qwen
```bash
/memory:skill-memory /d/my_app --tool qwen --regenerate
```
**Workflow**:
1. Phase 1: Parses target path, detects regenerate flag
2. Phase 2: Calls `/memory:docs /d/my_app --tool qwen --mode full` (regenerate handled in Phase 1)
3. Phase 3: Executes documentation regeneration
4. Phase 4: Generates updated SKILL.md
### Example 3: Partial Mode (Modules Only)
```bash
/memory:skill-memory --mode partial
```
**Workflow**:
1. Phase 1: Detects partial mode
2. Phase 2: Calls `/memory:docs . --tool gemini --mode partial` (Agent Mode)
3. Phase 3: Executes module documentation only
4. Phase 4: Generates SKILL.md with module-only index
### Example 4: CLI Execute Mode
```bash
/memory:skill-memory --cli-execute
```
**Workflow**:
1. Phase 1: Detects CLI execute mode
2. Phase 2: Calls `/memory:docs . --tool gemini --mode full --cli-execute` (CLI Mode)
3. Phase 3: Executes CLI-based documentation generation
4. Phase 4: Generates SKILL.md at `.claude/skills/{project_name}/SKILL.md`
## Benefits
-**Pure Orchestrator**: No task JSON generation, delegates to /memory:docs
-**Auto-Continue**: Autonomous 4-phase execution
-**Simplified**: ~70% less code than previous version
-**Maintainable**: Changes to /memory:docs automatically apply
-**Direct Generation**: Phase 4 directly writes SKILL.md
-**Flexible**: Supports all /memory:docs options
## Architecture
```
skill-memory (orchestrator)
├─ Phase 1: Prepare (bash commands)
├─ Phase 2: /memory:docs (task planning)
├─ Phase 3: /workflow:execute (task execution)
└─ Phase 4: Write SKILL.md (direct file generation)
No task JSON created by this command
All documentation tasks managed by /memory:docs
```

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@@ -447,7 +447,7 @@ bash(codex -C directory --full-auto exec "task") # Complex implementation: 90-1
#### Write Operation Protection
**⚠️ WRITE PROTECTION**: Local codebase write/modify requires EXPLICIT user confirmation
**⚠️ CRITICAL: Single-Use Explicit Authorization**: Each CLI execution (Gemini/Qwen/Codex) requires explicit user command instruction - one command authorizes ONE execution only. Analysis does NOT authorize write operations. Previous authorization does NOT carry over to subsequent actions. Each operation needs NEW explicit user directive.
**Mode Hierarchy**:
- **Analysis Mode (default)**: Read-only, safe for auto-execution

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@@ -5,6 +5,96 @@ All notable changes to Claude Code Workflow (CCW) will be documented in this fil
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [5.2.0] - 2025-11-03
### 🚀 Memory Commands Enhancement
This release optimizes documentation workflow commands with batch processing, dual execution modes, and reduced redundancy for improved performance and flexibility.
#### ✅ Added
**Documentation Workflow**:
-**Batch Processing** - `/memory:docs` now uses single Level 1 task for all module trees
-**Dual Execution Modes** - Agent Mode (default) and CLI Mode (--cli-execute) support
-**Pre-computed Analysis** - Phase 2 unified analysis eliminates redundant CLI calls
-**CLI Execute Flag** - `/memory:skill-memory` now supports --cli-execute parameter
**Agent Enhancements**:
-**@doc-generator** - Mode-aware execution supporting both Agent and CLI modes
-**Mode Detection** - Automatic strategy selection based on `cli_execute` flag
-**CLI Integration** - Direct documentation generation via CLI tools (gemini/qwen/codex)
#### 📝 Changed
**Documentation Commands**:
- 🔄 **`/memory:docs`** - Optimized task decomposition (N+3 tasks → 4 tasks)
- 🔄 **Task Structure** - Reduced task count through batch processing strategy
- 🔄 **File Operations** - One-time file reads in Phase 2, shared across tasks
- 🔄 **CLI Calls** - Single unified analysis replaces per-task analysis
**Execution Strategy**:
- 🔄 **Level 1 Tasks** - All module trees handled by single IMPL-001 batch task
- 🔄 **Context Reuse** - Pre-analyzed data stored in `.process/` directory
- 🔄 **Agent Mode** - CLI analyzes in pre_analysis, agent generates docs
- 🔄 **CLI Mode** - CLI generates docs directly in implementation_approach
#### 🎯 Performance Improvements
**Resource Optimization**:
-**67% fewer Level 1 tasks** - 3+ tasks consolidated into 1 batch task
-**67% fewer file reads** - Existing docs loaded once in Phase 2
-**67% fewer CLI calls** - Unified analysis replaces per-task analysis
-**33% fewer total tasks** - Example: 6 tasks → 4 tasks for 3-directory project
#### 📦 Updated Files
- `.claude/commands/memory/docs.md` - Batch processing and dual execution modes
- `.claude/commands/memory/skill-memory.md` - CLI execute flag support
- `.claude/agents/doc-generator.md` - Mode-aware execution implementation
---
## [5.1.0] - 2025-10-27
### 🔄 Agent Architecture Consolidation
This release consolidates the agent architecture and enhances workflow commands for better reliability and clarity.
#### ✅ Added
**Agent System**:
-**Universal Executor Agent** - New consolidated agent replacing general-purpose agent
-**Enhanced agent specialization** - Better separation of concerns across agent types
**Workflow Improvements**:
-**Advanced context filtering** - Context-gather command now supports more sophisticated validation
-**Session state management** - Enhanced session completion with better cleanup logic
#### 📝 Changed
**Agent Architecture**:
- 🔄 **Removed general-purpose agent** - Consolidated into universal-executor for clarity
- 🔄 **Improved agent naming** - More descriptive agent names matching their specific roles
**Command Enhancements**:
- 🔄 **`/workflow:session:complete`** - Better state management and cleanup procedures
- 🔄 **`/workflow:tools:context-gather`** - Enhanced filtering and validation capabilities
#### 🗂️ Maintenance
**Code Organization**:
- 📦 **Archived legacy templates** - Moved outdated prompt templates to archive folder
- 📦 **Documentation cleanup** - Improved consistency across workflow documentation
#### 📦 Updated Files
- `.claude/agents/universal-executor.md` - New consolidated agent definition
- `.claude/commands/workflow/session/complete.md` - Enhanced session management
- `.claude/commands/workflow/tools/context-gather.md` - Improved context filtering
- `.claude/workflows/cli-templates/prompts/archive/` - Legacy template archive
---
## [5.0.0] - 2025-10-24
### 🎉 Less is More - Simplified Architecture Release

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@@ -2,7 +2,7 @@
<div align="center">
[![Version](https://img.shields.io/badge/version-v5.0.0-blue.svg)](https://github.com/catlog22/Claude-Code-Workflow/releases)
[![Version](https://img.shields.io/badge/version-v5.2.0-blue.svg)](https://github.com/catlog22/Claude-Code-Workflow/releases)
[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
[![Platform](https://img.shields.io/badge/platform-Windows%20%7C%20Linux%20%7C%20macOS-lightgrey.svg)]()
@@ -14,12 +14,13 @@
**Claude Code Workflow (CCW)** transforms AI development from simple prompt chaining into a robust, context-first orchestration system. It solves execution uncertainty and error accumulation through structured planning, deterministic execution, and intelligent multi-model orchestration.
> **🎉 Version 5.0: Less is More**
> **🎉 Version 5.2: Memory Commands Enhancement**
>
> **Core Improvements**:
> - ✅ **Removed External Dependencies** - Using standard ripgrep/find instead of MCP code-index for better stability
> - ✅ **Streamlined Workflows** - Enhanced TDD workflow with conflict resolution mechanism
> - ✅ **Focused on Role Analysis** - Simplified planning architecture centered on role documents
> - ✅ **Batch Processing** - Single Level 1 task handles all module trees (67% fewer tasks)
> - ✅ **Dual Execution Modes** - Agent Mode and CLI Mode (--cli-execute) support
> - ✅ **Pre-computed Analysis** - Unified analysis eliminates redundant CLI calls (67% reduction)
> - ✅ **Performance Boost** - 67% fewer file reads, 33% fewer total tasks
>
> See [CHANGELOG.md](CHANGELOG.md) for full details.

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@@ -2,7 +2,7 @@
<div align="center">
[![Version](https://img.shields.io/badge/version-v5.0.0-blue.svg)](https://github.com/catlog22/Claude-Code-Workflow/releases)
[![Version](https://img.shields.io/badge/version-v5.2.0-blue.svg)](https://github.com/catlog22/Claude-Code-Workflow/releases)
[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
[![Platform](https://img.shields.io/badge/platform-Windows%20%7C%20Linux%20%7C%20macOS-lightgrey.svg)]()
@@ -14,12 +14,13 @@
**Claude Code Workflow (CCW)** 将 AI 开发从简单的提示词链接转变为一个强大的、上下文优先的编排系统。它通过结构化规划、确定性执行和智能多模型编排,解决了执行不确定性和误差累积的问题。
> **🎉 版本 5.0: 少即是多**
> **🎉 版本 5.2: 内存命令增强**
>
> **核心改进**:
> - ✅ **移除外部依赖** - 使用标准 ripgrep/find 替代 MCP code-index提升稳定性
> - ✅ **简化工作流** - 优化 TDD 流程,引入冲突解决机制
> - ✅ **专注角色分析** - 以角色文档为核心,简化规划架构
> - ✅ **批量处理** - 单个 Level 1 任务处理所有模块树(减少 67% 任务)
> - ✅ **双执行模式** - 支持 Agent 模式和 CLI 模式(--cli-execute
> - ✅ **预计算分析** - 统一分析消除冗余 CLI 调用(减少 67%
> - ✅ **性能提升** - 文件读取减少 67%,总任务数减少 33%
>
> 详见 [CHANGELOG.md](CHANGELOG.md)。