d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
63 lines
1.3 KiB
Markdown
63 lines
1.3 KiB
Markdown
# Agent Specialization Training
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## Purpose
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Train agents to become experts in specific domains for better performance.
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## Specialization Areas
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### 1. By File Type
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Agents automatically specialize based on file extensions:
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- **.js/.ts**: Modern JavaScript patterns
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- **.py**: Pythonic idioms
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- **.go**: Go best practices
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- **.rs**: Rust safety patterns
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### 2. By Task Type
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```
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Tool: mcp__claude-flow__agent_spawn
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Parameters: {
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"type": "coder",
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"capabilities": ["react", "typescript", "testing"],
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"name": "React Specialist"
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}
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```
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### 3. Training Process
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The system trains through:
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- Successful edit operations
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- Code review patterns
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- Error fix approaches
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- Performance optimizations
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### 4. Specialization Benefits
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```
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# Check agent specializations
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Tool: mcp__claude-flow__agent_list
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Parameters: {"swarmId": "current"}
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Result shows expertise levels:
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{
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"agents": [
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{
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"id": "coder-123",
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"specializations": {
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"javascript": 0.95,
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"react": 0.88,
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"testing": 0.82
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}
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}
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]
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}
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```
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## Continuous Improvement
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Agents share learnings across sessions for cumulative expertise!
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## CLI Usage
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```bash
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# Train agent specialization via CLI
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npx claude-flow train agent --type coder --capabilities "react,typescript"
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# Check specializations
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npx claude-flow agent list --specializations
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``` |