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CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
🐍 Python Environment Rules
CRITICAL: This project uses UV for all Python operations. Never use python -m, pip install, or python script.py directly.
Required Commands
# All Python operations must use UV
uv run pytest # Run tests
uv run pytest tests/pm_agent/ # Run specific tests
uv pip install package # Install dependencies
uv run python script.py # Execute scripts
📂 Project Structure
Current v4.3.0 Architecture: Python package with 30 commands, 20 agents, 7 modes
# Claude Code Configuration (v4.3.0)
# Installed via `superclaude install` to user's home directory
~/.claude/
├── settings.json
├── commands/sc/ # 30 slash commands (/sc:research, /sc:implement, etc.)
│ ├── pm.md
│ ├── research.md
│ ├── implement.md
│ └── ... (30 total)
├── agents/ # 20 domain-specialist agents (@pm-agent, @system-architect, etc.)
│ ├── pm-agent.md
│ ├── system-architect.md
│ └── ... (20 total)
└── skills/ # Skills (confidence-check, etc.)
# Python Package
src/superclaude/
├── __init__.py # Public API: ConfidenceChecker, SelfCheckProtocol, ReflexionPattern
├── pytest_plugin.py # Auto-loaded pytest integration (5 fixtures, 9 markers)
├── pm_agent/ # confidence.py, self_check.py, reflexion.py, token_budget.py
├── execution/ # parallel.py, reflection.py, self_correction.py
├── cli/ # main.py, doctor.py, install_commands.py, install_mcp.py, install_skill.py
├── commands/ # 30 slash command definitions (.md files)
├── agents/ # 20 agent definitions (.md files)
├── modes/ # 7 behavioral modes (.md files)
├── skills/ # Installable skills (confidence-check, etc.)
├── hooks/ # Claude Code hook definitions
├── mcp/ # MCP server configurations (10 servers)
└── core/ # Core utilities
# Project Files
tests/ # Python test suite (136 tests)
├── unit/ # Unit tests (auto-marked @pytest.mark.unit)
└── integration/ # Integration tests (auto-marked @pytest.mark.integration)
docs/ # Documentation
scripts/ # Analysis tools (workflow metrics, A/B testing)
plugins/ # Exported plugin artefacts for distribution
PLANNING.md # Architecture, absolute rules
TASK.md # Current tasks
KNOWLEDGE.md # Accumulated insights
Claude Code Integration Points
SuperClaude integrates with Claude Code through these mechanisms:
- Slash Commands: 30 commands installed to
~/.claude/commands/sc/(e.g.,/sc:pm,/sc:research) - Agents: 20 agents installed to
~/.claude/agents/(e.g.,@pm-agent,@system-architect) - Skills: Installed to
~/.claude/skills/(e.g., confidence-check) - Hooks: Session lifecycle hooks in
src/superclaude/hooks/ - Settings: Project settings in
.claude/settings.json - Pytest Plugin: Auto-loaded via entry point, provides fixtures and markers
- MCP Servers: 8+ servers configurable via
superclaude mcp
🔧 Development Workflow
Essential Commands
# Setup
make dev # Install in editable mode with dev dependencies
make verify # Verify installation (package, plugin, health)
# Testing
make test # Run full test suite
uv run pytest tests/pm_agent/ -v # Run specific directory
uv run pytest tests/test_file.py -v # Run specific file
uv run pytest -m confidence_check # Run by marker
uv run pytest --cov=superclaude # With coverage
# Code Quality
make lint # Run ruff linter
make format # Format code with ruff
make doctor # Health check diagnostics
# MCP Servers
superclaude mcp # Interactive install (gateway default)
superclaude mcp --list # List available servers
superclaude mcp --servers airis-mcp-gateway # Install AIRIS Gateway (recommended)
superclaude mcp --servers tavily context7 # Install individual servers
# Plugin Packaging
make build-plugin # Build plugin artefacts into dist/
make sync-plugin-repo # Sync artefacts into ../SuperClaude_Plugin
# Maintenance
make clean # Remove build artifacts
📦 Core Architecture
Pytest Plugin (Auto-loaded)
Registered via pyproject.toml entry point, automatically available after installation.
Fixtures: confidence_checker, self_check_protocol, reflexion_pattern, token_budget, pm_context
Auto-markers:
- Tests in
/unit/→@pytest.mark.unit - Tests in
/integration/→@pytest.mark.integration
Custom markers: @pytest.mark.confidence_check, @pytest.mark.self_check, @pytest.mark.reflexion
PM Agent - Three Core Patterns
1. ConfidenceChecker (src/superclaude/pm_agent/confidence.py)
- Pre-execution confidence assessment: ≥90% required, 70-89% present alternatives, <70% ask questions
- Prevents wrong-direction work, ROI: 25-250x token savings
2. SelfCheckProtocol (src/superclaude/pm_agent/self_check.py)
- Post-implementation evidence-based validation
- No speculation - verify with tests/docs
3. ReflexionPattern (src/superclaude/pm_agent/reflexion.py)
- Error learning and prevention
- Cross-session pattern matching
Parallel Execution
Wave → Checkpoint → Wave pattern (src/superclaude/execution/parallel.py):
- 3.5x faster than sequential execution
- Automatic dependency analysis
- Example: [Read files in parallel] → Analyze → [Edit files in parallel]
Slash Commands, Agents & Modes (v4.3.0)
- Install via:
pipx install superclaude && superclaude install - 30 Commands installed to
~/.claude/commands/sc/(e.g.,/sc:pm,/sc:research,/sc:implement) - 20 Agents installed to
~/.claude/agents/(e.g.,@pm-agent,@system-architect,@deep-research) - 7 Behavioral Modes: Brainstorming, Business Panel, Deep Research, Introspection, Orchestration, Task Management, Token Efficiency
- Skills: Installable to
~/.claude/skills/(e.g., confidence-check)
Note
: TypeScript plugin system planned for v5.0 (#419)
🧪 Testing with PM Agent
Example Test with Markers
@pytest.mark.confidence_check
def test_feature(confidence_checker):
"""Pre-execution confidence check - skips if < 70%"""
context = {"test_name": "test_feature", "has_official_docs": True}
assert confidence_checker.assess(context) >= 0.7
@pytest.mark.self_check
def test_implementation(self_check_protocol):
"""Post-implementation validation with evidence"""
implementation = {"code": "...", "tests": [...]}
passed, issues = self_check_protocol.validate(implementation)
assert passed, f"Validation failed: {issues}"
@pytest.mark.reflexion
def test_error_learning(reflexion_pattern):
"""If test fails, reflexion records for future prevention"""
pass
@pytest.mark.complexity("medium") # simple: 200, medium: 1000, complex: 2500
def test_with_budget(token_budget):
"""Token budget allocation"""
assert token_budget.limit == 1000
🌿 Git Workflow
Branch structure: master (production) ← integration (testing) ← feature/*, fix/*, docs/*
Standard workflow:
- Create branch from
integration:git checkout -b feature/your-feature - Develop with tests:
uv run pytest - Commit:
git commit -m "feat: description"(conventional commits) - Merge to
integration→ validate → merge tomaster
Current branch: See git status in session start output
Parallel Development with Git Worktrees
CRITICAL: When running multiple Claude Code sessions in parallel, use git worktree to avoid conflicts.
# Create worktree for integration branch
cd ~/github/SuperClaude_Framework
git worktree add ../SuperClaude_Framework-integration integration
# Create worktree for feature branch
git worktree add ../SuperClaude_Framework-feature feature/pm-agent
Benefits:
- Run Claude Code sessions on different branches simultaneously
- No branch switching conflicts
- Independent working directories
- Parallel development without state corruption
Usage:
- Session A: Open
~/github/SuperClaude_Framework/(current branch) - Session B: Open
~/github/SuperClaude_Framework-integration/(integration) - Session C: Open
~/github/SuperClaude_Framework-feature/(feature branch)
Cleanup:
git worktree remove ../SuperClaude_Framework-integration
📝 Key Documentation Files
PLANNING.md - Architecture, design principles, absolute rules TASK.md - Current tasks and priorities KNOWLEDGE.md - Accumulated insights and troubleshooting
Additional docs in docs/user-guide/, docs/developer-guide/, docs/reference/
💡 Core Development Principles
1. Evidence-Based Development
Never guess - verify with official docs (Context7 MCP, WebFetch, WebSearch) before implementation.
2. Confidence-First Implementation
Check confidence BEFORE starting: ≥90% proceed, 70-89% present alternatives, <70% ask questions.
3. Parallel-First Execution
Use Wave → Checkpoint → Wave pattern (3.5x faster). Example: [Read files in parallel] → Analyze → [Edit files in parallel]
4. Token Efficiency
- Simple (typo): 200 tokens
- Medium (bug fix): 1,000 tokens
- Complex (feature): 2,500 tokens
- Confidence check ROI: spend 100-200 to save 5,000-50,000
🔧 MCP Server Integration
Recommended: Use airis-mcp-gateway for unified MCP management.
superclaude mcp # Interactive install, gateway is default (requires Docker)
Gateway Benefits: 60+ tools, 98% token reduction, single SSE endpoint, Web UI
High Priority Servers (included in gateway):
- Tavily: Web search (Deep Research)
- Context7: Official documentation (prevent hallucination)
- Sequential: Token-efficient reasoning (30-50% reduction)
- Serena: Session persistence
- Mindbase: Cross-session learning
Optional: Playwright (browser automation), Magic (UI components), Chrome DevTools (performance)
Usage: TypeScript plugins and Python pytest plugin can call MCP servers. Always prefer MCP tools over speculation for documentation/research.
🚀 Development & Installation
Current Installation Method (v4.3.0)
Standard Installation:
# Option 1: pipx (recommended)
pipx install superclaude
superclaude install
# Option 2: Direct from repo
git clone https://github.com/SuperClaude-Org/SuperClaude_Framework.git
cd SuperClaude_Framework
./install.sh
Development Mode:
# Install in editable mode
make dev
# Run tests
make test
# Verify installation
make verify
Plugin System (v5.0 - Not Yet Available)
The TypeScript plugin system (.claude-plugin/, marketplace) is planned for v5.0.
See docs/plugin-reorg.md for details.
📊 Package Information
Package name: superclaude
Version: 4.3.0
Python: >=3.10
Build system: hatchling (PEP 517)
Entry points:
- CLI:
superclaudecommand - Pytest plugin: Auto-loaded as
superclaude
Dependencies:
- pytest>=7.0.0
- click>=8.0.0
- rich>=13.0.0
🔌 Claude Code Native Features (for developers)
SuperClaude extends Claude Code through its native extension points. When developing SuperClaude features, use these Claude Code capabilities:
Extension Points We Use
- Custom Commands (
~/.claude/commands/sc/*.md): 30/sc:*commands - Custom Agents (
~/.claude/agents/*.md): 20 domain-specialist agents - Skills (
~/.claude/skills/): confidence-check skill - Settings (
.claude/settings.json): Permission rules, hooks - MCP Servers: 8 pre-configured + AIRIS gateway
- Pytest Plugin: Auto-loaded via entry point
Extension Points We Should Use More
- Hooks (28 events):
SessionStart,Stop,PostToolUse,TaskCompleted— ideal for PM Agent auto-restore, self-check validation, and reflexion triggers - Skills System: Commands should migrate to proper skills with YAML frontmatter for auto-triggering, tool restrictions, and effort overrides
- Plan Mode: Could integrate with confidence checks (block implementation when < 70%)
- Settings Profiles: Could provide recommended permission/hook configs per workflow
- Native Session Persistence:
--continue/--resumeinstead of custom memory files
See docs/user-guide/claude-code-integration.md for the full gap analysis.