kazuki a302ca7e86 feat: add one-command plugin installer (make install-plugin)
**Problem:**
- Old installation method required manual file copying or complex marketplace setup
- Users had to run `/plugin marketplace add` + `/plugin install` (tedious)
- No automated installation workflow

**Solution:**
- Add `make install-plugin` for one-command installation
- Copies `.claude-plugin/` to `~/.claude/plugins/pm-agent/`
- Add `make uninstall-plugin` and `make reinstall-plugin`
- Update README.md with clear installation instructions

**Changes:**

Makefile:
- Add install-plugin target: Copy plugin to ~/.claude/plugins/
- Add uninstall-plugin target: Remove plugin
- Add reinstall-plugin target: Update existing installation
- Update help menu with plugin management section

README.md:
- Replace complex marketplace instructions with `make install-plugin`
- Add plugin management commands section
- Update troubleshooting guide
- Simplify migration guide from v1.x

**Installation Flow:**
```bash
git clone https://github.com/SuperClaude-Org/SuperClaude_Framework.git
cd SuperClaude_Framework
make install-plugin
# Restart Claude Code → Plugin auto-activates
```

**Features:**
- One-command install (no manual config)
- Auto-activation via SessionStart hook
- Hot reload support (TypeScript)
- Clean uninstall/reinstall workflow

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 14:38:56 +09:00
2025-09-26 19:37:34 +05:30
2025-08-26 20:30:50 +05:30
2025-10-14 08:56:00 +05:30
2025-09-26 19:37:34 +05:30
2025-10-14 15:04:44 +05:30

🚀 SuperClaude Framework

Transform Claude Code into a Structured Development Platform

Mentioned in Awesome Claude Code Try SuperGemini Framework Try SuperQwen Framework Version License PRs Welcome

Website PyPI PyPI sats npm

English 中文 日本語

Quick StartSupportFeaturesDocsContributing


📊 Framework Statistics

Plugins Agents Modes MCP Servers
3 16 7 8
Plugin Commands Specialized AI Behavioral Integrations

Three core plugins: PM Agent (orchestration), Research (web search), Index (context optimization).


🎯 Overview

SuperClaude is a meta-programming configuration framework that transforms Claude Code into a structured development platform through behavioral instruction injection and component orchestration. It provides systematic workflow automation with powerful tools and intelligent agents.

Disclaimer

This project is not affiliated with or endorsed by Anthropic. Claude Code is a product built and maintained by Anthropic.

📖 For Developers & Contributors

Essential documentation for working with SuperClaude Framework:

Document Purpose When to Read
PLANNING.md Architecture, design principles, absolute rules Session start, before implementation
TASK.md Current tasks, priorities, backlog Daily, before starting work
KNOWLEDGE.md Accumulated insights, best practices, troubleshooting When encountering issues, learning patterns
CONTRIBUTING.md Contribution guidelines, workflow Before submitting PRs

💡 Pro Tip: Claude Code reads these files at session start to ensure consistent, high-quality development aligned with project standards.

Quick Installation

One-Command Plugin Installation

SuperClaude v2.0+ uses TypeScript plugins with automated installer:

# Clone repository
git clone https://github.com/SuperClaude-Org/SuperClaude_Framework.git
cd SuperClaude_Framework

# Install plugin (one command)
make install-plugin

That's it! Restart Claude Code and the plugin auto-activates.

Plugin Management Commands:

make install-plugin    # Install plugin to ~/.claude/plugins/
make uninstall-plugin  # Remove plugin
make reinstall-plugin  # Update existing installation

Key Features:

  • One-Command Install: No manual configuration needed
  • Hot Reload: Edit TypeScript → Save → Instant reflection (no restart)
  • Auto-Activation: PM Agent starts automatically on session start
  • Zero Configuration: Works out of the box after make install-plugin

Enhanced Performance (Optional MCPs)

For 2-3x faster execution and 30-50% fewer tokens, optionally install MCP servers:

# Recommended MCP servers (via airis-mcp-gateway):
# - Mindbase: Cross-session memory (automatic)
# - Serena: Session persistence (2-3x faster)
# - Sequential: Token-efficient reasoning (30-50% fewer tokens)
# - Tavily: Web search for Deep Research
# - Context7: Official documentation lookup

# Install via: https://github.com/airis-mcp-gateway

Performance Comparison:

  • Without MCPs: Fully functional, standard performance
  • With MCPs: 2-3x faster, 30-50% fewer tokens
⚠️ IMPORTANT: Upgrading from SuperClaude V1.x (Slash Commands)

V2.0 introduces breaking changes - migration from slash commands to TypeScript plugins:

# 1. Remove old slash commands (if installed)
rm -rf ~/.claude/commands/sc/

# 2. Install new plugin (one command)
cd SuperClaude_Framework
make install-plugin

What's New in V2.0:

  • TypeScript plugins (hot reload support)
  • One-command installation (no manual config)
  • Auto-activation via SessionStart hook
  • 3 core plugins: PM Agent, Research, Index
  • Confidence-driven workflow (≥90% threshold, Precision/Recall 1.0)

Migration Notes:

  • Old: /sc:pm, /sc:research, /sc:index-repo (27 commands)
  • New: /pm, /research, /index-repo (3 plugin commands)
  • Functionality improved with hot reload and auto-activation
  • Installation: Manual file copying → make install-plugin
💡 Installation Troubleshooting

Plugin installation failed?

# Check if Claude Code is installed
which claude

# Verify plugin directory exists
ls ~/.claude/plugins/

# Reinstall plugin
make reinstall-plugin

# Check installation
ls ~/.claude/plugins/pm-agent/

Plugin not loading?

  • Restart Claude Code completely
  • Run /plugin in Claude Code to verify installation
  • Check that .claude-plugin/plugin.json exists in repository

Development mode (for contributors):

# Install Python package for testing
make dev
make verify
uv run pytest

💖 Support the Project

Hey, let's be real - maintaining SuperClaude takes time and resources.

The Claude Max subscription alone runs $100/month for testing, and that's before counting the hours spent on documentation, bug fixes, and feature development. If you're finding value in SuperClaude for your daily work, consider supporting the project. Even a few dollars helps cover the basics and keeps development active.

Every contributor matters, whether through code, feedback, or support. Thanks for being part of this community! 🙏

Ko-fi

Ko-fi

One-time contributions

🎯 Patreon

Patreon

Monthly support

💜 GitHub

GitHub Sponsors

Flexible tiers

Your Support Enables:

Item Cost/Impact
🔬 Claude Max Testing $100/month for validation & testing
Feature Development New capabilities & improvements
📚 Documentation Comprehensive guides & examples
🤝 Community Support Quick issue responses & help
🔧 MCP Integration Testing new server connections
🌐 Infrastructure Hosting & deployment costs

Note: No pressure though - the framework stays open source regardless. Just knowing people use and appreciate it is motivating. Contributing code, documentation, or spreading the word helps too! 🙏


🎉 What's New in V2.0

Version 2.0 brings architectural transformation: migration from 27 slash commands to 3 TypeScript plugins with hot reload and auto-activation.

🤖 Smarter Agent System

16 specialized agents with domain expertise:

  • PM Agent ensures continuous learning through systematic documentation
  • Deep Research agent for autonomous web research
  • Security engineer catches real vulnerabilities
  • Frontend architect understands UI patterns
  • Automatic coordination based on context
  • Domain-specific expertise on demand

🔥 TypeScript Plugins

3 core plugins with hot reload:

  • PM Agent: Confidence-driven orchestration (≥90% threshold)
  • Research: Deep web search with adaptive planning
  • Index: 94% token reduction (58K → 3K)
  • Auto-activation via SessionStart hook
  • Edit → Save → Instant reflection (no restart)

🔧 MCP Server Integration

8 powerful servers (via airis-mcp-gateway):

  • Tavily → Primary web search (Deep Research)
  • Serena → Session persistence & memory
  • Mindbase → Cross-session learning (zero-footprint)
  • Sequential → Token-efficient reasoning
  • Context7 → Official documentation lookup
  • Playwright → JavaScript-heavy content extraction
  • Magic → UI component generation
  • Chrome DevTools → Performance analysis

🎯 Behavioral Modes

7 adaptive modes for different contexts:

  • Brainstorming → Asks right questions
  • Business Panel → Multi-expert strategic analysis
  • Deep Research → Autonomous web research
  • Orchestration → Efficient tool coordination
  • Token-Efficiency → 30-50% context savings
  • Task Management → Systematic organization
  • Introspection → Meta-cognitive analysis

Optimized Performance

Smaller framework, bigger projects:

  • Reduced framework footprint
  • More context for your code
  • Longer conversations possible
  • Complex operations enabled

📚 Documentation Overhaul

Complete rewrite for developers:

  • Real examples & use cases
  • Common pitfalls documented
  • Practical workflows included
  • Better navigation structure

🔬 Deep Research Capabilities

Autonomous Web Research Aligned with DR Agent Architecture

SuperClaude v4.2 introduces comprehensive Deep Research capabilities, enabling autonomous, adaptive, and intelligent web research.

🎯 Adaptive Planning

Three intelligent strategies:

  • Planning-Only: Direct execution for clear queries
  • Intent-Planning: Clarification for ambiguous requests
  • Unified: Collaborative plan refinement (default)

🔄 Multi-Hop Reasoning

Up to 5 iterative searches:

  • Entity expansion (Paper → Authors → Works)
  • Concept deepening (Topic → Details → Examples)
  • Temporal progression (Current → Historical)
  • Causal chains (Effect → Cause → Prevention)

📊 Quality Scoring

Confidence-based validation:

  • Source credibility assessment (0.0-1.0)
  • Coverage completeness tracking
  • Synthesis coherence evaluation
  • Minimum threshold: 0.6, Target: 0.8

🧠 Case-Based Learning

Cross-session intelligence:

  • Pattern recognition and reuse
  • Strategy optimization over time
  • Successful query formulations saved
  • Performance improvement tracking

Research Command Usage

# Basic research with automatic depth
/research "latest AI developments 2024"

# Controlled research depth (via options in TypeScript)
/research "quantum computing breakthroughs"  # depth: exhaustive

# Specific strategy selection
/research "market analysis"  # strategy: planning-only

# Domain-filtered research (Tavily MCP integration)
/research "React patterns"  # domains: reactjs.org,github.com

Research Depth Levels

Depth Sources Hops Time Best For
Quick 5-10 1 ~2min Quick facts, simple queries
Standard 10-20 3 ~5min General research (default)
Deep 20-40 4 ~8min Comprehensive analysis
Exhaustive 40+ 5 ~10min Academic-level research

Integrated Tool Orchestration

The Deep Research system intelligently coordinates multiple tools:

  • Tavily MCP: Primary web search and discovery
  • Playwright MCP: Complex content extraction
  • Sequential MCP: Multi-step reasoning and synthesis
  • Serena MCP: Memory and learning persistence
  • Context7 MCP: Technical documentation lookup

📚 Documentation

Complete Guide to SuperClaude

🚀 Getting Started 📖 User Guides 🛠️ Developer Resources 📋 Reference
- 📓 [**Examples Cookbook**](docs/reference/examples-cookbook.md) *Real-world recipes*

🤝 Contributing

Join the SuperClaude Community

We welcome contributions of all kinds! Here's how you can help:

Priority Area Description
📝 High Documentation Improve guides, add examples, fix typos
🔧 High MCP Integration Add server configs, test integrations
🎯 Medium Workflows Create command patterns & recipes
🧪 Medium Testing Add tests, validate features
🌐 Low i18n Translate docs to other languages

Contributing Guide Contributors


⚖️ License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License


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🚀 Built with passion by the SuperClaude community

Made with ❤️ for developers who push boundaries

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Description
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
Readme MIT 17 MiB
Languages
Python 75.2%
TypeScript 13.7%
Shell 9%
Makefile 2.1%