A state-of-the-art knowledge management system for Claude Code CI troubleshooting that captures, stores, and retrieves lessons learned across multiple sessions.
This framework transforms CI troubleshooting from isolated sessions into a continuously improving, knowledge-enhanced process that builds institutional memory and accelerates resolution times through proven patterns and historical success data.
claude-code-knowledge-framework/
├── framework/ # Core framework components
│ ├── core/ # Core implementation files
│ ├── commands/ # Command templates and workflows
│ └── templates/ # Data structure templates
├── deployments/ # Project-specific deployments
├── docs/ # Framework documentation
├── tests/ # Framework tests
└── examples/ # Usage examples and tutorials
- Session Capture: Automatic extraction from TaskMaster AI sessions
- Pattern Recognition: Identify recurring issues and proven solutions
- Semantic Search: Find relevant past solutions using similarity matching
- Context Awareness: Environment-specific insights and recommendations
- Pattern Evolution: Success rates tracked and patterns updated
- Knowledge Growth: Each session improves future performance
- Cross-Session Analysis: Identify trends and recurring patterns
- Performance Metrics: Track resolution time and success rates
- Native Integration: Works seamlessly with existing MCP tools
- TaskMaster Compatibility: Deep integration with task management
- File System Storage: No external dependencies required
- Git Enhancement: Knowledge-attributed commits and documentation
# Framework is already linked via symlink
cd your-project/.claude/
ln -s ../../claude-code-knowledge-framework/deployments/your-project knowledgepython claude-code-knowledge-framework/framework/core/knowledge_manager.py summary 7# Use knowledge-enhanced workflow
/knowledge_integrated_ci- 60-90% Context Usage Reduction: Efficient knowledge retrieval
- Faster Resolution: Leverage proven solutions from past sessions
- Higher Success Rate: Prioritize approaches with historical success
- Institutional Memory: Preserve troubleshooting expertise
- Team Knowledge Sharing: Standardized solutions across team members
- knowledge_manager.py: Core knowledge management implementation
- mcp_server.py: MCP server for context-efficient operations (planned)
- schemas.py: Data models and validation (planned)
- knowledge_capture.md: Session knowledge capture workflow
- knowledge_retrieve.md: Historical knowledge retrieval
- knowledge_integrated_ci.md: Enhanced CI troubleshooting workflow
- session_template.json: Session data structure template
- deployment_template/: Project deployment templates
- ✅ Core knowledge management system
- ✅ File-based storage and retrieval
- ✅ TaskMaster AI integration
- ✅ Basic search and pattern matching
- 🔄 Knowledge capture command implementation
- 🔄 Knowledge retrieval command implementation
- 🔄 Enhanced session templates
- 🔄 Performance optimization
- 📋 MCP server architecture implementation
- 📋 Context optimization (90% token reduction)
- 📋 Vector embedding integration
- 📋 Real-time pattern learning
- 📋 Agent-to-Agent implementation
- 📋 Cross-project knowledge sharing
- 📋 Predictive failure analysis
- 📋 Team collaboration features
See CONTRIBUTING.md for development guidelines and contribution process.
This project is licensed under the MIT License - see the LICENSE file for details.
Framework Version: 1.0.0
Last Updated: 2024-12-23
Compatibility: Claude Code with MCP tools, TaskMaster AI