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Agent Orchestration
Command

/specialization

Train agents to become experts in specific domains for better performance.

From plugin
ruflo
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Command definition

specialization.md

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

# Train agent specialization via CLI
npx claude-flow train agent --type coder --capabilities "react,typescript"

# Check specializations
npx claude-flow agent list --specializations
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📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.

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