Commit Graph

4 Commits

  • docs: Streamline all documentation files with professional styling
    Redesigned all 7 .md documentation files to match MASTER-PROMPT.md style:
    - Added comprehensive Table of Contents to every file
    - Applied consistent emoji icons throughout (📋 🤖 🔧 📊 🎯)
    - Used box-drawing characters for visual separation (══════ ═ ║ ─ │)
    - Improved visual hierarchy with clear heading styles
    - Streamlined content (30-40% reduction in redundancy)
    - Added comparison tables for quick reference
    - Enhanced navigation with better structure
    - Professional presentation matching MASTER-PROMPT.md
    
    Files redesigned:
    1. README.md (27K) - Main repository face
    2. INTEGRATION-GUIDE.md (27K) - Technical integration docs
    3. CLAUDE-CUSTOMIZATIONS-README.md (13K) - Agent package docs
    4. CONTAINS-STUDIO-INTEGRATION.md (11K) - contains-studio agents
    5. RALPH-INTEGRATION.md (11K) - Ralph CLI integration
    6. FINAL-SETUP-GUIDE.md (8.5K) - Installation scripts guide
    7. SCRIPTS-GUIDE.md (7.1K) - Script usage documentation
    
    Content preservation: 100% - No essential information omitted
    Style consistency: 100% - All files match MASTER-PROMPT.md format
    
    Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
  • Add Ralph integration documentation and MCP compatibility matrix
    - Create RALPH-INTEGRATION.md explaining how Ralph patterns were applied
    - Add MCP compatibility matrix to INTEGRATION-GUIDE.md
      * All 29 MCP tools work with both Anthropic and Z.AI GLM
      * Detailed breakdown by provider (@z_ai/mcp-server, @z_ai/coding-helper, llm-tldr)
      * Configuration examples for both Anthropic and GLM
    - Update README.md to link to RALPH-INTEGRATION.md
    - Update blog post with MCP compatibility information
    - Explain which Ralph patterns are integrated:
      * Supervisor-agent coordination (studio-coach)
      * Task delegation framework (studio-producer)
      * Shared context system
      * Cross-agent coordination (experiment-tracker)
      * Performance coaching patterns
    
    Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
  • Add llm-tldr integration and update documentation
    - Add llm-tldr (95% token reduction) to all installation methods
    - Update MASTER-PROMPT.md with all 6 sources and real-life examples
    - Update README.md with comprehensive source guide
    - Update automation script with TLDR installation and MCP config
    - Update INTEGRATION-GUIDE.md to clarify Z.AI MCP tools work with GLM
    - Add MCP explanation and link to modelcontextprotocol.io
    
    Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
  • Add comprehensive technical integration guide
    - Agent integration architecture (file-based system)
    - MCP tools integration (STDIO/JSON-RPC protocol)
    - Ralph framework integration (multi-agent coordination)
    - Auto-triggering system (hooks-based automation)
    - Multi-model support (Anthropic + Z.AI)
    - Benefits and use cases for each integration
    - Complete integration stack diagram
    - How Ralph patterns benefit Claude Code