neural-training
0
总安装量
6
周安装量
安装命令
npx skills add https://github.com/ruvnet/claude-flow --skill neural-training
Agent 安装分布
claude-code
6
gemini-cli
5
qwen-code
5
cline
5
trae
5
opencode
5
Skill 文档
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
- RETRIEVE â Fetch relevant patterns via HNSW (150x-12,500x faster)
- JUDGE â Evaluate with verdicts (success$failure)
- DISTILL â Extract key learnings via LoRA
- CONSOLIDATE â Prevent catastrophic forgetting via EWC++
Components
| Component | Purpose | Performance |
|---|---|---|
| SONA | Self-optimizing adaptation | <0.05ms |
| MoE | Expert routing | 8 experts |
| HNSW | Pattern search | 150x-12,500x |
| EWC++ | Prevent forgetting | Continuous |
| Flash Attention | Speed | 2.49x-7.47x |
Commands
Train Patterns
npx claude-flow neural train --model-type moe --epochs 10
Check Status
npx claude-flow neural status
View Patterns
npx claude-flow neural patterns --type all
Predict
npx claude-flow neural predict --input "task description"
Optimize
npx claude-flow neural optimize --target latency
Best Practices
- Use pretrain hook for batch learning
- Store successful patterns after completion
- Consolidate regularly to prevent forgetting
- Route based on task complexity