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# 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
```json
{
"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/
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# Memory Management
## 🎯 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__memory_usage`
## Parameters
```json
{
"action": "retrieve",
"namespace": "default"
}
```
## Description
Track persistent memory usage across Claude Code sessions
## Details
Memory helps Claude Code:
- Maintain context between sessions
- Remember project decisions
- Track implementation patterns
- Store coordination strategies that worked well
## Example Usage
**In Claude Code:**
1. Store memory: Use tool `mcp__claude-flow__memory_usage` with parameters `{"action": "store", "key": "project_context", "value": "authentication system design"}`
2. Retrieve memory: Use tool `mcp__claude-flow__memory_usage` with parameters `{"action": "retrieve", "key": "project_context"}`
3. List memories: Use tool `mcp__claude-flow__memory_usage` with parameters `{"action": "list", "namespace": "default"}`
4. Search memories: Use tool `mcp__claude-flow__memory_search` with parameters `{"pattern": "auth*"}`
## 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/