neural-training

Neural Training Skill

Purpose

Train and optimize neural patterns using SONA, MoE, and EWC++ systems.

When to Trigger

• Training new patterns
• Optimizing agent routing
• Knowledge consolidation
• Pattern recognition tasks

Intelligence Pipeline

1. RETRIEVE — Fetch relevant patterns via HNSW (150x-12,500x faster)
2. JUDGE — Evaluate with verdicts (success$failure)
3. DISTILL — Extract key learnings via LoRA
4. CONSOLIDATE — Prevent catastrophic forgetting via EWC++

Components

Commands

Train Patterns

npx claude-flow neural train --model-type moe --epochs 10

Check Status

npx claude-flow neural status

View Patterns

npx

Predict

Optimize

Best Practices

1. Use pretrain hook for batch learning
2. Store successful patterns after completion
3. Consolidate regularly to prevent forgetting
4. Route based on task complexity