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claude-flow-tbowman01

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Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)

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# Agent Specialization Training ## Purpose Train agents to become experts in specific domains for better performance. ## Specialization Areas ### 1. By File Type Agents automatically specialize based on file extensions: - **.js/.ts**: Modern JavaScript patterns - **.py**: Pythonic idioms - **.go**: Go best practices - **.rs**: Rust safety patterns ### 2. By Task Type ``` Tool: mcp__claude-flow__agent_spawn Parameters: { "type": "coder", "capabilities": ["react", "typescript", "testing"], "name": "React Specialist" } ``` ### 3. Training Process The system trains through: - Successful edit operations - Code review patterns - Error fix approaches - Performance optimizations ### 4. Specialization Benefits ``` # Check agent specializations Tool: mcp__claude-flow__agent_list Parameters: {"swarmId": "current"} Result shows expertise levels: { "agents": [ { "id": "coder-123", "specializations": { "javascript": 0.95, "react": 0.88, "testing": 0.82 } } ] } ``` ## Continuous Improvement Agents share learnings across sessions for cumulative expertise! ## CLI Usage ```bash # Train agent specialization via CLI npx claude-flow train agent --type coder --capabilities "react,typescript" # Check specializations npx claude-flow agent list --specializations ```