/neural

Neural Pattern Training

🎯 Key Principle

**This tool coordinates Claude Code's actions. It does NOT write code or create content.**

MCP Tool Usage in Claude Code

**Tool:** `mcp__claude-flow__neural_train`

Parameters

{
  "pattern_type": "coordination",
  "training_data": "task decomposition patterns",
  "epochs": 50
}

Description

Improve coordination patterns through neural network training

Details

Training improves:

• Task breakdown effectiveness
• Coordination pattern selection
• Resource allocation strategies
• Overall coordination efficiency

Example Usage

**In Claude Code:** 1. Train coordination patterns: Use tool `mcp__claude-flow__neural_train` with parameters `{"pattern_type": "coordination", "training_data": "successful task patterns", "epochs": 50}` 2. Train optimization patterns: Use tool `mcp__claude-flow__neural_train` with parameters `{"pattern_type": "optimization", "training_data": "performance metrics", "epochs": 30}` 3. Check training status: Use tool `mcp__claude-flow__neural_status` 4. Analyze patterns: Use tool `mcp__claude-flow__neural_patterns` with parameters `{"action": "analyze"}`

Important Reminders

• ✅ This tool provides coordination and structure
• ✅ Claude Code performs all actual implementation
• ❌ The tool does NOT write code
• ❌ The tool does NOT access files directly
• ❌ The tool does NOT execute commands

See Also

• Main documentation: /CLAUDE.md
• Other commands in this category
• Workflow examples in /workflows/