mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-25 05:36:58 +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>
530 lines
15 KiB
Markdown
530 lines
15 KiB
Markdown
# SuperClaude Architecture
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**Last Updated**: 2025-10-14
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**Version**: 4.1.5
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## 📋 Table of Contents
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1. [System Overview](#system-overview)
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2. [Core Architecture](#core-architecture)
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3. [PM Agent Mode: The Meta-Layer](#pm-agent-mode-the-meta-layer)
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4. [Component Relationships](#component-relationships)
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5. [Serena MCP Integration](#serena-mcp-integration)
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6. [PDCA Engine](#pdca-engine)
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7. [Data Flow](#data-flow)
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8. [Extension Points](#extension-points)
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---
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## System Overview
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### What is SuperClaude?
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SuperClaude is a **Context-Oriented Configuration Framework** that transforms Claude Code into a structured development platform. It is NOT standalone software with running processes - it is a collection of `.md` instruction files that Claude Code reads to adopt specialized behaviors.
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### Key Components
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```
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SuperClaude Framework
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├── Commands (26) → Workflow patterns
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├── Agents (16) → Domain expertise
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├── Modes (7) → Behavioral modifiers
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├── MCP Servers (8) → External tool integrations
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└── PM Agent Mode → Meta-layer orchestration (Always-Active)
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```
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### Version Information
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- **Current Version**: 4.1.5
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- **Commands**: 26 slash commands (`/sc:*`)
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- **Agents**: 16 specialized domain experts
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- **Modes**: 7 behavioral modes
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- **MCP Servers**: 8 integrations (Context7, Sequential, Magic, Playwright, Morphllm, Serena, Tavily, Chrome DevTools)
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---
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## Core Architecture
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### Context-Oriented Configuration
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SuperClaude's architecture is built on a simple principle: **behavioral modification through structured context files**.
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```
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User Input
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↓
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Context Loading (CLAUDE.md imports)
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↓
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Command Detection (/sc:* pattern)
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↓
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Agent Activation (manual or auto)
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↓
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Mode Application (flags or triggers)
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↓
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MCP Tool Coordination
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↓
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Output Generation
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```
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### Directory Structure
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```
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~/.claude/
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├── CLAUDE.md # Main context with @imports
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├── FLAGS.md # Flag definitions
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├── RULES.md # Core behavioral rules
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├── PRINCIPLES.md # Guiding principles
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├── MODE_*.md # 7 behavioral modes
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├── MCP_*.md # 8 MCP server integrations
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├── agents/ # 16 specialized agents
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│ ├── pm-agent.md # 🆕 Meta-layer orchestrator
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│ ├── backend-architect.md
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│ ├── frontend-architect.md
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│ ├── security-engineer.md
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│ └── ... (13 more)
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└── commands/sc/ # 26 workflow commands
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├── pm.md # 🆕 PM Agent command
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├── implement.md
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├── analyze.md
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└── ... (23 more)
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```
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---
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## PM Agent Mode: The Meta-Layer
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### Position in Architecture
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PM Agent operates as a **meta-layer** above all other components:
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```
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┌─────────────────────────────────────────────┐
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│ PM Agent Mode (Meta-Layer) │
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│ • Always Active (Session Start) │
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│ • Context Preservation │
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│ • PDCA Self-Evaluation │
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│ • Knowledge Management │
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└─────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────┐
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│ Specialist Agents (16) │
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│ backend-architect, security-engineer, etc. │
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└─────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────┐
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│ Commands & Modes │
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│ /sc:implement, /sc:analyze, etc. │
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└─────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────┐
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│ MCP Tool Layer │
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│ Context7, Sequential, Magic, etc. │
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└─────────────────────────────────────────────┘
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```
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### PM Agent Responsibilities
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1. **Session Lifecycle Management**
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- Auto-activation at session start
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- Context restoration from Serena MCP memory
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- User report generation (前回/進捗/今回/課題)
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2. **PDCA Cycle Execution**
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- Plan: Hypothesis generation
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- Do: Experimentation with checkpoints
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- Check: Self-evaluation
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- Act: Knowledge extraction
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3. **Documentation Strategy**
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- Temporary documentation (`docs/temp/`)
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- Formal patterns (`docs/patterns/`)
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- Mistake records (`docs/mistakes/`)
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- Knowledge evolution to CLAUDE.md
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4. **Sub-Agent Orchestration**
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- Auto-delegation to specialists
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- Context coordination
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- Quality gate validation
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- Progress monitoring
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---
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## Component Relationships
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### Commands → Agents → Modes → MCP
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```
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User: "/sc:implement authentication" --security
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↓
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[Command Layer]
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commands/sc/implement.md
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↓
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[Agent Auto-Activation]
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agents/security-engineer.md
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agents/backend-architect.md
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↓
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[Mode Application]
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MODE_Task_Management.md (TodoWrite)
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↓
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[MCP Tool Coordination]
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Context7 (auth patterns)
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Sequential (complex analysis)
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↓
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[PM Agent Meta-Layer]
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Document learnings → docs/patterns/
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```
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### Activation Flow
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1. **Explicit Command**: User types `/sc:implement`
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- Loads `commands/sc/implement.md`
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- Activates related agents (backend-architect, etc.)
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2. **Agent Activation**: `@agent-security` or auto-detected
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- Loads agent expertise context
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- May activate related MCP servers
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3. **Mode Application**: `--brainstorm` flag or keywords
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- Modifies interaction style
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- Enables specific behaviors
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4. **PM Agent Meta-Layer**: Always active
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- Monitors all interactions
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- Documents learnings
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- Preserves context across sessions
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---
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## Serena MCP Integration
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### Memory Operations
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Serena MCP provides semantic code analysis and session persistence through memory operations:
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```
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Session Start:
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PM Agent → list_memories()
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PM Agent → read_memory("pm_context")
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PM Agent → read_memory("last_session")
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PM Agent → read_memory("next_actions")
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PM Agent → Report to User
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During Work (every 30min):
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PM Agent → write_memory("checkpoint", progress)
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PM Agent → write_memory("decision", rationale)
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Session End:
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PM Agent → write_memory("last_session", summary)
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PM Agent → write_memory("next_actions", todos)
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PM Agent → write_memory("pm_context", complete_state)
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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 1: Documentation",
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"active_tasks": ["ARCHITECTURE.md", "ROADMAP.md"],
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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": ["PM Agent mode design", "Salvaged implementations"],
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"issues": ["Serena MCP not configured"],
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"learned": ["Session Lifecycle pattern", "PDCA automation"]
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},
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"next_actions": [
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"Create docs/Development/ structure",
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"Write ARCHITECTURE.md",
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"Configure Serena MCP server"
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]
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}
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```
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---
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## PDCA Engine
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### Continuous Improvement Cycle
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```
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┌─────────────┐
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│ Plan │ → write_memory("plan", goal)
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│ (仮説) │ → docs/temp/hypothesis-YYYY-MM-DD.md
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└──────┬──────┘
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↓
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┌─────────────┐
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│ Do │ → TodoWrite tracking
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│ (実験) │ → write_memory("checkpoint", progress)
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└──────┬──────┘ → docs/temp/experiment-YYYY-MM-DD.md
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↓
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┌─────────────┐
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│ Check │ → think_about_task_adherence()
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│ (評価) │ → think_about_whether_you_are_done()
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└──────┬──────┘ → docs/temp/lessons-YYYY-MM-DD.md
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↓
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┌─────────────┐
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│ Act │ → Success: docs/patterns/[name].md
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│ (改善) │ → Failure: docs/mistakes/mistake-*.md
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└──────┬──────┘ → Update CLAUDE.md
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↓
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[Repeat]
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```
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### Documentation Evolution
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```
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Trial-and-Error (docs/temp/)
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↓
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Success → Formal Pattern (docs/patterns/)
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↓
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Accumulate Knowledge
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↓
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Extract Best Practices → CLAUDE.md (Global Rules)
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```
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```
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Mistake Detection (docs/temp/)
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↓
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Root Cause Analysis → docs/mistakes/
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↓
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Prevention Checklist
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↓
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Update Anti-Patterns → CLAUDE.md
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```
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---
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## Data Flow
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### Session Lifecycle Data Flow
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```
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Session Start:
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┌──────────────┐
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│ Claude Code │
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│ Startup │
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└──────┬───────┘
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↓
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┌──────────────┐
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│ PM Agent │ list_memories()
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│ Activation │ read_memory("pm_context")
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└──────┬───────┘
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↓
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┌──────────────┐
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│ Serena │ Return: pm_context,
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│ MCP │ last_session,
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└──────┬───────┘ next_actions
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↓
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┌──────────────┐
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│ Context │ Restore project state
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│ Restoration │ Generate user report
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└──────┬───────┘
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↓
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┌──────────────┐
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│ User │ 前回: [summary]
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│ Report │ 進捗: [status]
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└──────────────┘ 今回: [actions]
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課題: [blockers]
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```
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### Implementation Data Flow
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```
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User Request → PM Agent Analyzes
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↓
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PM Agent → Delegate to Specialist Agents
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↓
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Specialist Agents → Execute Implementation
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↓
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Implementation Complete → PM Agent Documents
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↓
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PM Agent → write_memory("checkpoint", progress)
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PM Agent → docs/temp/experiment-*.md
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↓
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Success → docs/patterns/ | Failure → docs/mistakes/
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↓
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Update CLAUDE.md (if global pattern)
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```
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---
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## Extension Points
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### Adding New Components
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#### 1. New Command
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```markdown
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File: ~/.claude/commands/sc/new-command.md
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Structure:
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- Metadata (name, category, complexity)
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- Triggers (when to use)
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- Workflow Pattern (step-by-step)
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- Examples
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Integration:
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- Auto-loads when user types /sc:new-command
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- Can activate related agents
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- PM Agent automatically documents usage patterns
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```
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#### 2. New Agent
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```markdown
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File: ~/.claude/agents/new-specialist.md
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Structure:
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- Metadata (name, category)
|
|
- Triggers (keywords, file types)
|
|
- Behavioral Mindset
|
|
- Focus Areas
|
|
|
|
Integration:
|
|
- Auto-activates on trigger keywords
|
|
- Manual activation: @agent-new-specialist
|
|
- PM Agent orchestrates with other agents
|
|
```
|
|
|
|
#### 3. New Mode
|
|
```markdown
|
|
File: ~/.claude/MODE_NewMode.md
|
|
Structure:
|
|
- Activation Triggers (flags, keywords)
|
|
- Behavioral Modifications
|
|
- Interaction Patterns
|
|
|
|
Integration:
|
|
- Flag: --new-mode
|
|
- Auto-activation on complexity threshold
|
|
- Modifies all agent behaviors
|
|
```
|
|
|
|
#### 4. New MCP Server
|
|
```json
|
|
File: ~/.claude/.claude.json
|
|
{
|
|
"mcpServers": {
|
|
"new-server": {
|
|
"command": "npx",
|
|
"args": ["-y", "new-server-mcp@latest"]
|
|
}
|
|
}
|
|
}
|
|
```
|
|
|
|
```markdown
|
|
File: ~/.claude/MCP_NewServer.md
|
|
Structure:
|
|
- Purpose (what this server provides)
|
|
- Triggers (when to use)
|
|
- Integration (how to coordinate with other tools)
|
|
```
|
|
|
|
### PM Agent Integration for Extensions
|
|
|
|
All new components automatically integrate with PM Agent meta-layer:
|
|
|
|
1. **Session Lifecycle**: New components' usage tracked across sessions
|
|
2. **PDCA Cycle**: Patterns extracted from new component usage
|
|
3. **Documentation**: Learnings automatically documented
|
|
4. **Orchestration**: PM Agent coordinates new components with existing ones
|
|
|
|
---
|
|
|
|
## Architecture Principles
|
|
|
|
### 1. Simplicity First
|
|
- No executing code, only context files
|
|
- No performance systems, only instructional patterns
|
|
- No detection engines, Claude Code does pattern matching
|
|
|
|
### 2. Context-Oriented
|
|
- Behavior modification through structured context
|
|
- Import system for modular context loading
|
|
- Clear trigger patterns for activation
|
|
|
|
### 3. Meta-Layer Design
|
|
- PM Agent orchestrates without interfering
|
|
- Specialist agents work transparently
|
|
- Users interact with cohesive system
|
|
|
|
### 4. Knowledge Accumulation
|
|
- Every experience generates learnings
|
|
- Mistakes documented with prevention
|
|
- Patterns extracted to reusable knowledge
|
|
|
|
### 5. Session Continuity
|
|
- Context preserved across sessions
|
|
- No re-explanation needed
|
|
- Seamless resumption from last checkpoint
|
|
|
|
---
|
|
|
|
## Technical Considerations
|
|
|
|
### Performance
|
|
- Framework is pure context (no runtime overhead)
|
|
- Token efficiency through dynamic MCP loading
|
|
- Strategic context caching for related phases
|
|
|
|
### Scalability
|
|
- Unlimited commands/agents/modes through context files
|
|
- Modular architecture supports independent development
|
|
- PM Agent meta-layer handles coordination complexity
|
|
|
|
### Maintainability
|
|
- Clear separation of concerns (Commands/Agents/Modes)
|
|
- Self-documenting through PDCA cycle
|
|
- Living documentation evolves with usage
|
|
|
|
### Extensibility
|
|
- Drop-in new contexts without code changes
|
|
- MCP servers add capabilities externally
|
|
- PM Agent auto-integrates new components
|
|
|
|
---
|
|
|
|
## Future Architecture
|
|
|
|
### Planned Enhancements
|
|
|
|
1. **Auto-Activation System**
|
|
- PM Agent activates automatically at session start
|
|
- No manual invocation needed
|
|
|
|
2. **Enhanced Memory Operations**
|
|
- Full Serena MCP integration
|
|
- Cross-project knowledge sharing
|
|
- Pattern recognition across sessions
|
|
|
|
3. **PDCA Automation**
|
|
- Automatic documentation lifecycle
|
|
- AI-driven pattern extraction
|
|
- Self-improving knowledge base
|
|
|
|
4. **Multi-Project Orchestration**
|
|
- PM Agent coordinates across projects
|
|
- Shared learnings and patterns
|
|
- Unified knowledge management
|
|
|
|
---
|
|
|
|
## Summary
|
|
|
|
SuperClaude's architecture is elegantly simple: **structured context files** that Claude Code reads to adopt sophisticated behaviors. The addition of PM Agent mode as a meta-layer transforms this from a collection of tools into a **continuously learning, self-improving development platform**.
|
|
|
|
**Key Architectural Innovation**: PM Agent meta-layer provides:
|
|
- Always-active foundation layer
|
|
- Context preservation across sessions
|
|
- PDCA self-evaluation and learning
|
|
- Systematic knowledge management
|
|
- Seamless orchestration of specialist agents
|
|
|
|
This architecture enables SuperClaude to function as a **最高司令官 (Supreme Commander)** that orchestrates all development activities while continuously learning and improving from every interaction.
|
|
|
|
---
|
|
|
|
**Last Verified**: 2025-10-14
|
|
**Next Review**: 2025-10-21 (1 week)
|
|
**Version**: 4.1.5
|