1.5 KiB
1.5 KiB
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:
- Train coordination patterns: Use tool
mcp__claude-flow__neural_trainwith parameters{"pattern_type": "coordination", "training_data": "successful task patterns", "epochs": 50} - Train optimization patterns: Use tool
mcp__claude-flow__neural_trainwith parameters{"pattern_type": "optimization", "training_data": "performance metrics", "epochs": 30} - Check training status: Use tool
mcp__claude-flow__neural_status - Analyze patterns: Use tool
mcp__claude-flow__neural_patternswith 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/