mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-29 16:16:08 +00:00
feat: comprehensive framework improvements (#447)
* refactor(docs): move core docs into framework/business/research (move-only) - framework/: principles, rules, flags (思想・行動規範) - business/: symbols, examples (ビジネス領域) - research/: config (調査設定) - All files renamed to lowercase for consistency * docs: update references to new directory structure - Update ~/.claude/CLAUDE.md with new paths - Add migration notice in core/MOVED.md - Remove pm.md.backup - All @superclaude/ references now point to framework/business/research/ * fix(setup): update framework_docs to use new directory structure - Add validate_prerequisites() override for multi-directory validation - Add _get_source_dirs() for framework/business/research directories - Override _discover_component_files() for multi-directory discovery - Override get_files_to_install() for relative path handling - Fix get_size_estimate() to use get_files_to_install() - Fix uninstall/update/validate to use install_component_subdir Fixes installation validation errors for new directory structure. Tested: make dev installs successfully with new structure - framework/: flags.md, principles.md, rules.md - business/: examples.md, symbols.md - research/: config.md * refactor(modes): update component references for docs restructure * chore: remove redundant docs after PLANNING.md migration Cleanup after Self-Improvement Loop implementation: **Deleted (21 files, ~210KB)**: - docs/Development/ - All content migrated to PLANNING.md & TASK.md * ARCHITECTURE.md (15KB) → PLANNING.md * TASKS.md (3.7KB) → TASK.md * ROADMAP.md (11KB) → TASK.md * PROJECT_STATUS.md (4.2KB) → outdated * 13 PM Agent research files → archived in KNOWLEDGE.md - docs/PM_AGENT.md - Old implementation status - docs/pm-agent-implementation-status.md - Duplicate - docs/templates/ - Empty directory **Retained (valuable documentation)**: - docs/memory/ - Active session metrics & context - docs/patterns/ - Reusable patterns - docs/research/ - Research reports - docs/user-guide*/ - User documentation (4 languages) - docs/reference/ - Reference materials - docs/getting-started/ - Quick start guides - docs/agents/ - Agent-specific guides - docs/testing/ - Test procedures **Result**: - Eliminated redundancy after Root Documents consolidation - Preserved all valuable content in PLANNING.md, TASK.md, KNOWLEDGE.md - Maintained user-facing documentation structure 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: relocate PM modules to commands/modules - Move modules to superclaude/commands/modules/ - Organize command-specific modules under commands/ 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add self-improvement loop with 4 root documents Implements Self-Improvement Loop based on Cursor's proven patterns: **New Root Documents**: - PLANNING.md: Architecture, design principles, 10 absolute rules - TASK.md: Current tasks with priority (🔴🟡🟢⚪) - KNOWLEDGE.md: Accumulated insights, best practices, failures - README.md: Updated with developer documentation links **Key Features**: - Session Start Protocol: Read docs → Git status → Token budget → Ready - Evidence-Based Development: No guessing, always verify - Parallel Execution Default: Wave → Checkpoint → Wave pattern - Mac Environment Protection: Docker-first, no host pollution - Failure Pattern Learning: Past mistakes become prevention rules **Cleanup**: - Removed: docs/memory/checkpoint.json, current_plan.json (migrated to TASK.md) - Enhanced: setup/components/commands.py (module discovery) **Benefits**: - LLM reads rules at session start → consistent quality - Past failures documented → no repeats - Progressive knowledge accumulation → continuous improvement - 3.5x faster execution with parallel patterns 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * test: validate Self-Improvement Loop workflow Tested complete cycle: Read docs → Extract rules → Execute task → Update docs Test Results: - Session Start Protocol: ✅ All 6 steps successful - Rule Extraction: ✅ 10/10 absolute rules identified from PLANNING.md - Task Identification: ✅ Next tasks identified from TASK.md - Knowledge Application: ✅ Failure patterns accessed from KNOWLEDGE.md - Documentation Update: ✅ TASK.md and KNOWLEDGE.md updated with completed work - Confidence Score: 95% (exceeds 70% threshold) Proved Self-Improvement Loop closes: Execute → Learn → Update → Improve * refactor: responsibility-driven component architecture Rename components to reflect their responsibilities: - framework_docs.py → knowledge_base.py (KnowledgeBaseComponent) - modes.py → behavior_modes.py (BehaviorModesComponent) - agents.py → agent_personas.py (AgentPersonasComponent) - commands.py → slash_commands.py (SlashCommandsComponent) - mcp.py → mcp_integration.py (MCPIntegrationComponent) Each component now clearly documents its responsibility: - knowledge_base: Framework knowledge initialization - behavior_modes: Execution mode definitions - agent_personas: AI agent personality definitions - slash_commands: CLI command registration - mcp_integration: External tool integration Benefits: - Self-documenting architecture - Clear responsibility boundaries - Easy to navigate and extend - Scalable for future hierarchical organization 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add project-specific CLAUDE.md with UV rules - Document UV as required Python package manager - Add common operations and integration examples - Document project structure and component architecture - Provide development workflow guidelines 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: resolve installation failures after framework_docs rename ## Problems Fixed 1. **Syntax errors**: Duplicate docstrings in all component files (line 1) 2. **Dependency mismatch**: Stale framework_docs references after rename to knowledge_base ## Changes - Fix docstring format in all component files (behavior_modes, agent_personas, slash_commands, mcp_integration) - Update all dependency references: framework_docs → knowledge_base - Update component registration calls in knowledge_base.py (5 locations) - Update install.py files in both setup/ and superclaude/ (5 locations total) - Fix documentation links in README-ja.md and README-zh.md ## Verification ✅ All components load successfully without syntax errors ✅ Dependency resolution works correctly ✅ Installation completes in 0.5s with all validations passing ✅ make dev succeeds 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add automated README translation workflow ## New Features - **Auto-translation workflow** using GPT-Translate - Automatically translates README.md to Chinese (ZH) and Japanese (JA) - Triggers on README.md changes to master/main branches - Cost-effective: ~¥90/month for typical usage ## Implementation Details - Uses OpenAI GPT-4 for high-quality translations - GitHub Actions integration with gpt-translate@v1.1.11 - Secure API key management via GitHub Secrets - Automatic commit and PR creation on translation updates ## Files Added - `.github/workflows/translation-sync.yml` - Auto-translation workflow - `docs/Development/translation-workflow.md` - Setup guide and documentation ## Setup Required Add `OPENAI_API_KEY` to GitHub repository secrets to enable auto-translation. ## Benefits - 🤖 Automated translation on every README update - 💰 Low cost (~$0.06 per translation) - 🛡️ Secure API key storage - 🔄 Consistent translation quality across languages 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix(mcp): update airis-mcp-gateway URL to correct organization Fixes #440 ## Problem Code referenced non-existent `oraios/airis-mcp-gateway` repository, causing MCP installation to fail completely. ## Root Cause - Repository was moved to organization: `agiletec-inc/airis-mcp-gateway` - Old reference `oraios/airis-mcp-gateway` no longer exists - Users reported "not a python/uv module" error ## Changes - Update install_command URL: oraios → agiletec-inc - Update run_command URL: oraios → agiletec-inc - Location: setup/components/mcp_integration.py lines 37-38 ## Verification ✅ Correct URL now references active repository ✅ MCP installation will succeed with proper organization ✅ No other code references oraios/airis-mcp-gateway ## Related Issues - Fixes #440 (Airis-mcp-gateway url has changed) - Related to #442 (MCP update issues) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: replace cloud translation with local Neural CLI ## Changes ### Removed (OpenAI-dependent) - ❌ `.github/workflows/translation-sync.yml` - GPT-Translate workflow - ❌ `docs/Development/translation-workflow.md` - OpenAI setup docs ### Added (Local Ollama-based) - ✅ `Makefile`: New `make translate` target using Neural CLI - ✅ `docs/Development/translation-guide.md` - Neural CLI guide ## Benefits **Before (GPT-Translate)**: - 💰 Monthly cost: ~¥90 (OpenAI API) - 🔑 Requires API key setup - 🌐 Data sent to external API - ⏱️ Network latency **After (Neural CLI)**: - ✅ **$0 cost** - Fully local execution - ✅ **No API keys** - Zero setup friction - ✅ **Privacy** - No external data transfer - ✅ **Fast** - ~1-2 min per README - ✅ **Offline capable** - Works without internet ## Technical Details **Neural CLI**: - Built in Rust with Tauri - Uses Ollama + qwen2.5:3b model - Binary size: 4.0MB - Auto-installs to ~/.local/bin/ **Usage**: ```bash make translate # Translates README.md → README-zh.md, README-ja.md ``` ## Requirements - Ollama installed: `curl -fsSL https://ollama.com/install.sh | sh` - Model downloaded: `ollama pull qwen2.5:3b` - Neural CLI built: `cd ~/github/neural/src-tauri && cargo build --bin neural-cli --release` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
kazuki nakai
@@ -1,477 +0,0 @@
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# PM Agent Mode Integration Guide
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**Last Updated**: 2025-10-14
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**Target Version**: 4.2.0
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**Status**: Implementation Guide
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---
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## 📋 Overview
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This guide provides step-by-step procedures for integrating PM Agent mode as SuperClaude's always-active meta-layer with session lifecycle management, PDCA self-evaluation, and systematic knowledge management.
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---
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## 🎯 Integration Goals
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1. **Session Lifecycle**: Auto-activation at session start with context restoration
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2. **PDCA Engine**: Automated Plan-Do-Check-Act cycle execution
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3. **Memory Operations**: Serena MCP integration for session persistence
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4. **Documentation Strategy**: Systematic knowledge evolution
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---
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## 📐 Architecture Integration
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### PM Agent Position
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```
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┌──────────────────────────────────────────┐
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│ PM Agent Mode (Meta-Layer) │
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│ • Always Active │
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│ • Session Management │
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│ • PDCA Self-Evaluation │
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└──────────────┬───────────────────────────┘
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↓
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[Specialist Agents Layer]
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↓
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[Commands & Modes Layer]
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↓
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[MCP Tool Layer]
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```
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See: [ARCHITECTURE.md](./ARCHITECTURE.md) for full system architecture
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---
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## 🔧 Phase 2: Core Implementation
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### File Structure
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```
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superclaude/
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├── Commands/
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│ └── pm.md # ✅ Already updated
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├── Agents/
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│ └── pm-agent.md # ✅ Already updated
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└── Core/
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├── __init__.py # Module initialization
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├── session_lifecycle.py # 🆕 Session management
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├── pdca_engine.py # 🆕 PDCA automation
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└── memory_ops.py # 🆕 Memory operations
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```
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### Implementation Order
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1. `memory_ops.py` - Serena MCP wrapper (foundation)
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2. `session_lifecycle.py` - Session management (depends on memory_ops)
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3. `pdca_engine.py` - PDCA automation (depends on memory_ops)
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---
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## 1️⃣ memory_ops.py Implementation
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### Purpose
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Wrapper for Serena MCP memory operations with error handling and fallback.
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### Key Functions
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```python
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# superclaude/Core/memory_ops.py
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class MemoryOperations:
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"""Serena MCP memory operations wrapper"""
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def list_memories() -> List[str]:
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"""List all available memories"""
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def read_memory(key: str) -> Optional[Dict]:
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"""Read memory by key"""
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def write_memory(key: str, value: Dict) -> bool:
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"""Write memory with key"""
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def delete_memory(key: str) -> bool:
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"""Delete memory by key"""
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```
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### Integration Points
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- Connect to Serena MCP server
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- Handle connection errors gracefully
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- Provide fallback for offline mode
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- Validate memory structure
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### Testing
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```bash
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pytest tests/test_memory_ops.py -v
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```
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---
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## 2️⃣ session_lifecycle.py Implementation
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### Purpose
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Auto-activation at session start, context restoration, user report generation.
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### Key Functions
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```python
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# superclaude/Core/session_lifecycle.py
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class SessionLifecycle:
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"""Session lifecycle management"""
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def on_session_start():
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"""Hook for session start (auto-activation)"""
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# 1. list_memories()
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# 2. read_memory("pm_context")
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# 3. read_memory("last_session")
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# 4. read_memory("next_actions")
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# 5. generate_user_report()
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def generate_user_report() -> str:
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"""Generate user report (前回/進捗/今回/課題)"""
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def on_session_end():
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"""Hook for session end (checkpoint save)"""
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# 1. write_memory("last_session", summary)
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# 2. write_memory("next_actions", todos)
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# 3. write_memory("pm_context", complete_state)
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```
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### User Report Format
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```
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前回: [last session summary]
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進捗: [current progress status]
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今回: [planned next actions]
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課題: [blockers or issues]
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```
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### Integration Points
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- Hook into Claude Code session start
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- Read memories using memory_ops
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- Generate human-readable report
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- Handle missing or corrupted memory
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### Testing
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```bash
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pytest tests/test_session_lifecycle.py -v
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```
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---
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## 3️⃣ pdca_engine.py Implementation
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### Purpose
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Automate PDCA cycle execution with documentation generation.
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### Key Functions
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```python
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# superclaude/Core/pdca_engine.py
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class PDCAEngine:
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"""PDCA cycle automation"""
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def plan_phase(goal: str):
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"""Generate hypothesis (仮説)"""
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# 1. write_memory("plan", goal)
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# 2. Create docs/temp/hypothesis-YYYY-MM-DD.md
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def do_phase():
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"""Track experimentation (実験)"""
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# 1. TodoWrite tracking
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# 2. write_memory("checkpoint", progress) every 30min
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# 3. Update docs/temp/experiment-YYYY-MM-DD.md
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def check_phase():
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"""Self-evaluation (評価)"""
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# 1. think_about_task_adherence()
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# 2. think_about_whether_you_are_done()
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# 3. Create docs/temp/lessons-YYYY-MM-DD.md
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def act_phase():
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"""Knowledge extraction (改善)"""
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# 1. Success → docs/patterns/[pattern-name].md
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# 2. Failure → docs/mistakes/mistake-YYYY-MM-DD.md
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# 3. Update CLAUDE.md if global pattern
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```
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### Documentation Templates
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**hypothesis-template.md**:
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```markdown
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# Hypothesis: [Goal Description]
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Date: YYYY-MM-DD
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Status: Planning
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## Goal
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What are we trying to accomplish?
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## Approach
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How will we implement this?
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## Success Criteria
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How do we know when we're done?
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## Potential Risks
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What could go wrong?
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```
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**experiment-template.md**:
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```markdown
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# Experiment Log: [Implementation Name]
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Date: YYYY-MM-DD
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Status: In Progress
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## Implementation Steps
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- [ ] Step 1
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- [ ] Step 2
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## Errors Encountered
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- Error 1: Description, solution
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## Solutions Applied
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- Solution 1: Description, result
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## Checkpoint Saves
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- 10:00: [progress snapshot]
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- 10:30: [progress snapshot]
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```
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### Integration Points
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- Create docs/ directory templates
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- Integrate with TodoWrite
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- Call Serena MCP think operations
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- Generate documentation files
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### Testing
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```bash
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pytest tests/test_pdca_engine.py -v
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```
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---
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## 🔌 Phase 3: Serena MCP Integration
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### Prerequisites
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```bash
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# Install Serena MCP server
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# See: docs/troubleshooting/serena-installation.md
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```
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### Configuration
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```json
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// ~/.claude/.claude.json
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{
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"mcpServers": {
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"serena": {
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"command": "uv",
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"args": ["run", "serena-mcp"]
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}
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}
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}
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```
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### Memory Structure
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```json
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{
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"pm_context": {
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"project": "SuperClaude_Framework",
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"current_phase": "Phase 2",
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"architecture": "Context-Oriented Configuration",
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"patterns": ["PDCA Cycle", "Session Lifecycle"]
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},
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"last_session": {
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"date": "2025-10-14",
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"accomplished": ["Phase 1 complete"],
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"issues": ["Serena MCP not configured"],
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"learned": ["Session Lifecycle pattern"]
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},
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"next_actions": [
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"Implement session_lifecycle.py",
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"Configure Serena MCP",
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"Test memory operations"
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]
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}
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```
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### Testing Serena Connection
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```bash
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# Test memory operations
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python -m SuperClaude.Core.memory_ops --test
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```
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---
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## 📁 Phase 4: Documentation Strategy
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### Directory Structure
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```
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docs/
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├── temp/ # Temporary (7-day lifecycle)
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│ ├── hypothesis-YYYY-MM-DD.md
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│ ├── experiment-YYYY-MM-DD.md
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│ └── lessons-YYYY-MM-DD.md
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├── patterns/ # Formal patterns (永久保存)
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│ └── [pattern-name].md
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└── mistakes/ # Mistake records (永久保存)
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└── mistake-YYYY-MM-DD.md
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```
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### Lifecycle Automation
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```bash
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# Create cleanup script
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scripts/cleanup_temp_docs.sh
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# Run daily via cron
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0 0 * * * /path/to/scripts/cleanup_temp_docs.sh
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```
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### Migration Scripts
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```bash
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# Migrate successful experiments to patterns
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python scripts/migrate_to_patterns.py
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# Migrate failures to mistakes
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python scripts/migrate_to_mistakes.py
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```
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---
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## 🚀 Phase 5: Auto-Activation (Research Needed)
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### Research Questions
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1. How does Claude Code handle initialization?
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2. Are there plugin hooks available?
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3. Can we intercept session start events?
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### Implementation Plan (TBD)
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Once research complete, implement auto-activation hooks:
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```python
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# superclaude/Core/auto_activation.py (future)
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def on_claude_code_start():
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"""Auto-activate PM Agent at session start"""
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session_lifecycle.on_session_start()
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```
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---
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## ✅ Implementation Checklist
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### Phase 2: Core Implementation
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- [ ] Implement `memory_ops.py`
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- [ ] Write unit tests for memory_ops
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- [ ] Implement `session_lifecycle.py`
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- [ ] Write unit tests for session_lifecycle
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- [ ] Implement `pdca_engine.py`
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- [ ] Write unit tests for pdca_engine
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- [ ] Integration testing
|
||||
|
||||
### Phase 3: Serena MCP
|
||||
- [ ] Install Serena MCP server
|
||||
- [ ] Configure `.claude.json`
|
||||
- [ ] Test memory operations
|
||||
- [ ] Test think operations
|
||||
- [ ] Test cross-session persistence
|
||||
|
||||
### Phase 4: Documentation Strategy
|
||||
- [ ] Create `docs/temp/` template
|
||||
- [ ] Create `docs/patterns/` template
|
||||
- [ ] Create `docs/mistakes/` template
|
||||
- [ ] Implement lifecycle automation
|
||||
- [ ] Create migration scripts
|
||||
|
||||
### Phase 5: Auto-Activation
|
||||
- [ ] Research Claude Code hooks
|
||||
- [ ] Design auto-activation system
|
||||
- [ ] Implement auto-activation
|
||||
- [ ] Test session start behavior
|
||||
|
||||
---
|
||||
|
||||
## 🧪 Testing Strategy
|
||||
|
||||
### Unit Tests
|
||||
```bash
|
||||
tests/
|
||||
├── test_memory_ops.py # Memory operations
|
||||
├── test_session_lifecycle.py # Session management
|
||||
└── test_pdca_engine.py # PDCA automation
|
||||
```
|
||||
|
||||
### Integration Tests
|
||||
```bash
|
||||
tests/integration/
|
||||
├── test_pm_agent_flow.py # End-to-end PM Agent
|
||||
├── test_serena_integration.py # Serena MCP integration
|
||||
└── test_cross_session.py # Session persistence
|
||||
```
|
||||
|
||||
### Manual Testing
|
||||
1. Start new session → Verify context restoration
|
||||
2. Work on task → Verify checkpoint saves
|
||||
3. End session → Verify state preservation
|
||||
4. Restart → Verify seamless resumption
|
||||
|
||||
---
|
||||
|
||||
## 📊 Success Criteria
|
||||
|
||||
### Functional
|
||||
- [ ] PM Agent activates at session start
|
||||
- [ ] Context restores from memory
|
||||
- [ ] User report generates correctly
|
||||
- [ ] PDCA cycle executes automatically
|
||||
- [ ] Documentation strategy works
|
||||
|
||||
### Performance
|
||||
- [ ] Session start delay <500ms
|
||||
- [ ] Memory operations <100ms
|
||||
- [ ] Context restoration reliable (>99%)
|
||||
|
||||
### Quality
|
||||
- [ ] Test coverage >90%
|
||||
- [ ] No regression in existing features
|
||||
- [ ] Documentation complete
|
||||
|
||||
---
|
||||
|
||||
## 🔧 Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
|
||||
**"Serena MCP not connecting"**
|
||||
- Check server installation
|
||||
- Verify `.claude.json` configuration
|
||||
- Test connection: `claude mcp list`
|
||||
|
||||
**"Memory operations failing"**
|
||||
- Check network connection
|
||||
- Verify Serena server running
|
||||
- Check error logs
|
||||
|
||||
**"Context not restoring"**
|
||||
- Verify memory structure
|
||||
- Check `pm_context` exists
|
||||
- Test with fresh memory
|
||||
|
||||
---
|
||||
|
||||
## 📚 References
|
||||
|
||||
- [ARCHITECTURE.md](./ARCHITECTURE.md) - System architecture
|
||||
- [ROADMAP.md](./ROADMAP.md) - Development roadmap
|
||||
- [PM_AGENT.md](../PM_AGENT.md) - Status tracking
|
||||
- [Commands/pm.md](../../superclaude/Commands/pm.md) - PM Agent command
|
||||
- [Agents/pm-agent.md](../../superclaude/Agents/pm-agent.md) - PM Agent persona
|
||||
|
||||
---
|
||||
|
||||
**Last Verified**: 2025-10-14
|
||||
**Next Review**: 2025-10-21 (1 week)
|
||||
**Version**: 4.1.5
|
||||
Reference in New Issue
Block a user