- Replace HTML div tags with proper markdown formatting
- Use box-drawing characters for visual separation
- Add clear section headers with emoji indicators
- Use code blocks with language tags (diff for ❌ examples)
- Add proper spacing and horizontal rules
- Ensure GitHub renders all formatting correctly
- Make examples section clearly distinct from main content
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Create prominent boxed section with gradient background
- Add clear warning box explaining these are illustrative examples only
- Use color-coded boxes: yellow (❌ WITHOUT) vs green (✅ WITH)
- Add proper visual separation from main installation content
- Include border styling and padding for clear visual hierarchy
- Make it immediately clear this is a separate reference section
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Create dedicated 'How Auto-Triggering Works: Practical Examples' section
- Add clear NOTE explaining these are illustrative examples
- Consolidate 5 examples showing WITHOUT vs WITH scenarios
- Add visual separation with headers and dividers
- Include summary table comparing without vs with auto-triggering
- Remove duplicate examples scattered throughout document
- Make it immediately clear these are workflow examples
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Added tip at top of README with invite code R0K78RJKNW
- Links to Z.AI GLM Plan subscription with discount
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Added ui-ux-pro-max agent installation to design section
- Includes fallback download from repository
- Completes synchronization across all installation methods
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- 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