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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)
npx skills add https://github.com/ruvnet/claude-flow --skill neural-training

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Listed on Skillselion
Installs91
repo stars67k
Last updatedAugust 4, 2026
Repositoryruvnet/claude-flow

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

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

ComponentPurposePerformance
SONASelf-optimizing adaptation<0.05ms
MoEExpert routing8 experts
HNSWPattern search150x-12,500x
EWC++Prevent forgettingContinuous
Flash AttentionSpeed2.49x-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

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

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