mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-26 06:07:30 +00:00
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 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>
350 lines
11 KiB
Markdown
350 lines
11 KiB
Markdown
# SuperClaude Development Roadmap
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**Last Updated**: 2025-10-14
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**Version**: 4.1.5
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## 🎯 Vision
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Transform SuperClaude into a self-improving development platform with PM Agent mode as the always-active meta-layer, enabling continuous context preservation, systematic knowledge management, and intelligent orchestration of all development activities.
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---
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## 📊 Phase Overview
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| Phase | Status | Timeline | Focus |
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|-------|--------|----------|-------|
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| **Phase 1** | ✅ Completed | Week 1 | Documentation Structure |
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| **Phase 2** | 🔄 In Progress | Week 2-3 | PM Agent Mode Integration |
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| **Phase 3** | ⏳ Planned | Week 4-5 | Serena MCP Integration |
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| **Phase 4** | ⏳ Planned | Week 6-7 | Documentation Strategy |
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| **Phase 5** | 🔬 Research | Week 8+ | Auto-Activation System |
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---
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## Phase 1: Documentation Structure ✅
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**Goal**: Create comprehensive documentation foundation for development
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**Timeline**: Week 1 (2025-10-14 ~ 2025-10-20)
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**Status**: ✅ Completed
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### Tasks
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- [x] Create `docs/Development/` directory structure
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- [x] Write `ARCHITECTURE.md` - System overview with PM Agent position
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- [x] Write `ROADMAP.md` - Phase-based development plan with checkboxes
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- [ ] Write `TASKS.md` - Current task tracking system
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- [ ] Write `PROJECT_STATUS.md` - Implementation status dashboard
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- [ ] Write `pm-agent-integration.md` - Integration guide and procedures
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### Deliverables
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- [x] **docs/Development/ARCHITECTURE.md** - Complete system architecture
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- [x] **docs/Development/ROADMAP.md** - This file (development roadmap)
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- [ ] **docs/Development/TASKS.md** - Task management with checkboxes
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- [ ] **docs/Development/PROJECT_STATUS.md** - Current status and metrics
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- [ ] **docs/Development/pm-agent-integration.md** - Integration procedures
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### Success Criteria
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- [x] Documentation structure established
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- [x] Architecture clearly documented
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- [ ] Roadmap with phase breakdown complete
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- [ ] Task tracking system functional
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- [ ] Status dashboard provides visibility
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---
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## Phase 2: PM Agent Mode Integration 🔄
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**Goal**: Integrate PM Agent mode as always-active meta-layer
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**Timeline**: Week 2-3 (2025-10-21 ~ 2025-11-03)
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**Status**: 🔄 In Progress (30% complete)
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### Tasks
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#### Documentation Updates
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- [x] Update `superclaude/Commands/pm.md` with Session Lifecycle
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- [x] Update `superclaude/Agents/pm-agent.md` with PDCA Cycle
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- [x] Create `docs/pm-agent-implementation-status.md`
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- [ ] Update `docs/User-Guide/agents.md` - Add PM Agent section
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- [ ] Update `docs/User-Guide/commands.md` - Add /sc:pm command
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#### Core Implementation
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- [ ] Implement `superclaude/Core/session_lifecycle.py`
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- [ ] Session start hooks
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- [ ] Context restoration logic
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- [ ] User report generation
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- [ ] Error handling and fallback
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- [ ] Implement `superclaude/Core/pdca_engine.py`
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- [ ] Plan phase automation
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- [ ] Do phase tracking
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- [ ] Check phase self-evaluation
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- [ ] Act phase documentation
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- [ ] Implement `superclaude/Core/memory_ops.py`
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- [ ] Serena MCP wrapper
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- [ ] Memory operation abstractions
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- [ ] Checkpoint management
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- [ ] Session state handling
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#### Testing
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- [ ] Unit tests for session_lifecycle.py
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- [ ] Unit tests for pdca_engine.py
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- [ ] Unit tests for memory_ops.py
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- [ ] Integration tests for PM Agent flow
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- [ ] Test auto-activation at session start
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### Deliverables
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- [x] **Updated pm.md and pm-agent.md** - Design documentation
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- [x] **pm-agent-implementation-status.md** - Status tracking
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- [ ] **superclaude/Core/session_lifecycle.py** - Session management
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- [ ] **superclaude/Core/pdca_engine.py** - PDCA automation
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- [ ] **superclaude/Core/memory_ops.py** - Memory operations
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- [ ] **tests/test_pm_agent.py** - Comprehensive test suite
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### Success Criteria
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- [ ] PM Agent mode loads at session start
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- [ ] Session Lifecycle functional
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- [ ] PDCA Cycle automated
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- [ ] Memory operations working
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- [ ] All tests passing (>90% coverage)
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---
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## Phase 3: Serena MCP Integration ⏳
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**Goal**: Full Serena MCP integration for session persistence
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**Timeline**: Week 4-5 (2025-11-04 ~ 2025-11-17)
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**Status**: ⏳ Planned
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### Tasks
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#### MCP Configuration
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- [ ] Install and configure Serena MCP server
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- [ ] Update `~/.claude/.claude.json` with Serena config
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- [ ] Test basic Serena operations
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- [ ] Troubleshoot connection issues
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#### Memory Operations Implementation
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- [ ] Implement `list_memories()` integration
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- [ ] Implement `read_memory(key)` integration
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- [ ] Implement `write_memory(key, value)` integration
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- [ ] Implement `delete_memory(key)` integration
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- [ ] Test memory persistence across sessions
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#### Think Operations Implementation
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- [ ] Implement `think_about_task_adherence()` hook
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- [ ] Implement `think_about_collected_information()` hook
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- [ ] Implement `think_about_whether_you_are_done()` hook
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- [ ] Integrate with TodoWrite completion tracking
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- [ ] Test self-evaluation triggers
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#### Cross-Session Testing
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- [ ] Test context restoration after restart
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- [ ] Test checkpoint save/restore
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- [ ] Test memory persistence durability
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- [ ] Test multi-project memory isolation
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- [ ] Performance testing (memory operations latency)
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### Deliverables
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- [ ] **Serena MCP Server** - Configured and operational
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- [ ] **superclaude/Core/serena_client.py** - Serena MCP client wrapper
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- [ ] **superclaude/Core/think_operations.py** - Think hooks implementation
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- [ ] **docs/troubleshooting/serena-setup.md** - Setup guide
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- [ ] **tests/test_serena_integration.py** - Integration test suite
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### Success Criteria
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- [ ] Serena MCP server operational
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- [ ] All memory operations functional
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- [ ] Think operations trigger correctly
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- [ ] Cross-session persistence verified
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- [ ] Performance acceptable (<100ms per operation)
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---
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## Phase 4: Documentation Strategy ⏳
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**Goal**: Implement systematic documentation lifecycle
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**Timeline**: Week 6-7 (2025-11-18 ~ 2025-12-01)
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**Status**: ⏳ Planned
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### Tasks
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#### Directory Structure
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- [ ] Create `docs/temp/` template structure
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- [ ] Create `docs/patterns/` template structure
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- [ ] Create `docs/mistakes/` template structure
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- [ ] Add README.md to each directory explaining purpose
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- [ ] Create .gitignore for temporary files
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#### File Templates
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- [ ] Create `hypothesis-template.md` for Plan phase
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- [ ] Create `experiment-template.md` for Do phase
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- [ ] Create `lessons-template.md` for Check phase
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- [ ] Create `pattern-template.md` for successful patterns
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- [ ] Create `mistake-template.md` for error records
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#### Lifecycle Automation
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- [ ] Implement 7-day temporary file cleanup
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- [ ] Create docs/temp → docs/patterns migration script
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- [ ] Create docs/temp → docs/mistakes migration script
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- [ ] Automate "Last Verified" date updates
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- [ ] Implement duplicate pattern detection
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#### Knowledge Management
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- [ ] Implement pattern extraction logic
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- [ ] Implement CLAUDE.md auto-update mechanism
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- [ ] Create knowledge graph visualization
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- [ ] Implement pattern search functionality
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- [ ] Create mistake prevention checklist generator
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### Deliverables
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- [ ] **docs/temp/**, **docs/patterns/**, **docs/mistakes/** - Directory templates
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- [ ] **superclaude/Core/doc_lifecycle.py** - Lifecycle automation
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- [ ] **superclaude/Core/knowledge_manager.py** - Knowledge extraction
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- [ ] **scripts/migrate_docs.py** - Migration utilities
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- [ ] **tests/test_doc_lifecycle.py** - Lifecycle test suite
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### Success Criteria
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- [ ] Directory templates functional
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- [ ] Lifecycle automation working
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- [ ] Migration scripts reliable
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- [ ] Knowledge extraction accurate
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- [ ] CLAUDE.md auto-updates verified
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---
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## Phase 5: Auto-Activation System 🔬
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**Goal**: PM Agent activates automatically at every session start
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**Timeline**: Week 8+ (2025-12-02 onwards)
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**Status**: 🔬 Research Needed
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### Research Phase
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- [ ] Research Claude Code initialization hooks
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- [ ] Investigate session start event handling
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- [ ] Study existing auto-activation patterns
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- [ ] Analyze Claude Code plugin system (if available)
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- [ ] Review Anthropic documentation on extensibility
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### Tasks
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#### Hook Implementation
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- [ ] Identify session start hook mechanism
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- [ ] Implement PM Agent auto-activation hook
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- [ ] Test activation timing and reliability
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- [ ] Handle edge cases (crash recovery, etc.)
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- [ ] Performance optimization (minimize startup delay)
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#### Context Restoration
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- [ ] Implement automatic context loading
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- [ ] Test memory restoration at startup
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- [ ] Verify user report generation
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- [ ] Handle missing or corrupted memory
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- [ ] Graceful fallback for new sessions
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#### Integration Testing
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- [ ] Test across multiple sessions
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- [ ] Test with different project contexts
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- [ ] Test memory persistence durability
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- [ ] Test error recovery mechanisms
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- [ ] Performance testing (startup time impact)
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### Deliverables
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- [ ] **superclaude/Core/auto_activation.py** - Auto-activation system
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- [ ] **docs/Developer-Guide/auto-activation.md** - Implementation guide
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- [ ] **tests/test_auto_activation.py** - Auto-activation tests
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- [ ] **Performance Report** - Startup time impact analysis
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### Success Criteria
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- [ ] PM Agent activates at every session start
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- [ ] Context restoration reliable (>99%)
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- [ ] User report generated consistently
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- [ ] Startup delay minimal (<500ms)
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- [ ] Error recovery robust
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---
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## 🚀 Future Enhancements (Post-Phase 5)
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### Multi-Project Orchestration
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- [ ] Cross-project knowledge sharing
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- [ ] Unified pattern library
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- [ ] Multi-project context switching
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- [ ] Project-specific memory namespaces
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### AI-Driven Pattern Recognition
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- [ ] Machine learning for pattern extraction
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- [ ] Automatic best practice identification
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- [ ] Predictive mistake prevention
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- [ ] Smart knowledge graph generation
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### Enhanced Self-Evaluation
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- [ ] Advanced think operations
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- [ ] Quality scoring automation
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- [ ] Performance regression detection
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- [ ] Code quality trend analysis
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### Community Features
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- [ ] Pattern sharing marketplace
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- [ ] Community knowledge contributions
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- [ ] Collaborative PDCA cycles
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- [ ] Public pattern library
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---
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## 📊 Metrics & KPIs
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### Phase Completion Metrics
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| Metric | Target | Current | Status |
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|--------|--------|---------|--------|
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| Documentation Coverage | 100% | 40% | 🔄 In Progress |
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| PM Agent Integration | 100% | 30% | 🔄 In Progress |
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| Serena MCP Integration | 100% | 0% | ⏳ Pending |
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| Documentation Strategy | 100% | 0% | ⏳ Pending |
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| Auto-Activation | 100% | 0% | 🔬 Research |
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### Quality Metrics
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| Metric | Target | Current | Status |
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|--------|--------|---------|--------|
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| Test Coverage | >90% | 0% | ⏳ Pending |
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| Context Restoration Rate | 100% | N/A | ⏳ Pending |
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| Session Continuity | >95% | N/A | ⏳ Pending |
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| Documentation Freshness | <7 days | N/A | ⏳ Pending |
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| Mistake Prevention | <10% recurring | N/A | ⏳ Pending |
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---
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## 🔄 Update Schedule
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- **Weekly**: Task progress updates
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- **Bi-weekly**: Phase milestone reviews
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- **Monthly**: Roadmap revision and priority adjustment
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- **Quarterly**: Long-term vision alignment
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---
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**Last Verified**: 2025-10-14
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**Next Review**: 2025-10-21 (1 week)
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**Version**: 4.1.5
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