NomenAK 0e856a9975 Standardize internal markdown references with explicit relative paths
• Updated troubleshooting.md, optimization-guide.md, mcp-server-guide.md, diagnostic-reference.md, and README.md
• Changed internal references from (filename.md) to (./filename.md) format
• Improved link robustness and portability across different viewing contexts
• Completed cross-reference standardization throughout Reference directory

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-20 20:46:15 +02:00
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SuperClaude v4.0.0 🚀

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SuperClaude is a meta-programming configuration framework that transforms Claude Code into a structured development platform through behavioral instruction injection and component orchestration. It enhances Claude Code with 21 slash commands, 13 specialized agents, 6 behavioral modes, and 6 MCP server integrations for systematic workflow automation.

Quick Start

# Via Python (recommended)
pip install SuperClaude && SuperClaude install

# Via NPM (cross-platform)
npm install -g @superclaude-org/superclaude && superclaude install

Support SuperClaude Development 💎

SuperClaude Framework development requires ongoing support to maintain MCP server integrations, expand the command system, and provide comprehensive documentation. Your support enables continuous improvement and new capabilities.

GitHub Sponsors

Documentation

Getting Started

User Guides

Developer Resources

Reference

Contributing

Current Priorities:

  • 📝 Documentation improvements and examples
  • 🔧 MCP server integrations and configurations
  • 🎯 Command workflow examples and patterns
  • 🧪 Testing and validation procedures
  • 🌐 Translation and internationalization

See CONTRIBUTING.md for detailed contribution guidelines.

License

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

Contributors: View all contributors

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%