- 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 (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>
BREAKING CHANGES to workflow:
- Add 'BEFORE YOU BEGIN' section to MASTER-PROMPT.md
- GLM users MUST configure GLM FIRST before using Claude Code
- Add clear GLM pre-configuration steps at top of file
- Add clear copy boundaries (✂️ COPY FROM HERE / ✂️ COPY ENDS HERE)
- Add visual separator lines for copy-paste section
README.md updates:
- Add prominent GLM warning at top of Installation Options
- Add quick GLM setup commands
- Clarify Master Prompt workflow with step-by-step
- Emphasize GLM pre-configuration requirement
This fixes the issue where GLM users couldn't use Claude Code
to paste the master prompt without first configuring GLM.
- Add GLM model mappings (glm-4.5-air, glm-4.7) to settings.json
- Update both new and existing file creation paths
- Add version verification guidance (2.0.14+ recommended)
- Reference official Z.AI documentation (https://docs.z.ai/devpack/tool/claude)
- Add troubleshooting steps from official docs
- Add /status command verification instructions
- Display GLM configuration summary after setup
- Update API help text to include official docs link
- Add Claude Code installation prerequisite (npm install)
- Update GLM configuration with official model mappings (glm-4.5-air, glm-4.7)
- Add version verification (recommended 2.0.14+)
- Include troubleshooting steps from Z.AI docs
- Add /status command verification
- Reference official Z.AI documentation: https://docs.z.ai/devpack/tool/claude
- Update README with proper GLM model configuration
- Users can now copy-paste a master prompt into Claude Code
- Includes all source repository references
- Step-by-step guided installation
- Alternative to running bash scripts
- Updated README with 3 installation options
- 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
- Step-by-step instructions for Anthropic Claude setup
- Step-by-step instructions for Z.AI/GLM Plan setup
- Complete copy-paste commands for both options
- MCP tools installation instructions
- Verification and testing steps
- Advanced configuration examples
- All commands ready to copy and execute
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