
Neural Training
- 91 installs
- 67k repo stars
- Updated August 4, 2026
- ruvnet/claude-flow
Helps with ai & agent building tasks.
About
neural-training is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- neural-training
- AI & Agent Building
- AI-coding skill
Neural Training by the numbers
- 91 all-time installs (skills.sh)
- Ranked #4,798 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 91 |
|---|---|
| repo stars | ★ 67k |
| Last updated | August 4, 2026 |
| Repository | ruvnet/claude-flow ↗ |
What it does
Helps with ai & agent building tasks.
Files
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
| 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 10Check Status
npx claude-flow neural statusView Patterns
npx claude-flow neural patterns --type allPredict
npx claude-flow neural predict --input "task description"Optimize
npx claude-flow neural optimize --target latencyBest 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