mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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530 lines
15 KiB
Markdown
530 lines
15 KiB
Markdown
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# 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)
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- Triggers (keywords, file types)
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- Behavioral Mindset
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- Focus Areas
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Integration:
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- Auto-activates on trigger keywords
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- Manual activation: @agent-new-specialist
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- PM Agent orchestrates with other agents
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```
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#### 3. New Mode
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||
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```markdown
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File: ~/.claude/MODE_NewMode.md
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Structure:
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- Activation Triggers (flags, keywords)
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- Behavioral Modifications
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- Interaction Patterns
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Integration:
|
||
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- Flag: --new-mode
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||
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- Auto-activation on complexity threshold
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||
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- Modifies all agent behaviors
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```
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||
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|
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#### 4. New MCP Server
|
||
|
|
```json
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||
|
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File: ~/.claude/.claude.json
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||
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{
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"mcpServers": {
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"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
|