Neural Training

This handles neural pattern training with a proper architecture stack: SONA for self-optimization, MoE routing across 8 experts, HNSW for pattern retrieval that's 150x to 12,500x faster than baseline, and EWC++ to prevent catastrophic forgetting. The pipeline is retrieve, judge, distill, consolidate. You'd use this when you need pattern learning, model optimization, or knowledge transfer, not for simple one-off tasks. Commands let you train patterns, check status, predict outcomes, and optimize for targets like latency. The performance numbers are aggressive (sub-0.05ms for SONA, 2.49x to 7.47x speedup with Flash Attention) and the approach assumes you're doing ongoing learning where consolidation matters. Worth it if you're building adaptive agents that need to learn and remember.

skills.sh installs: 1.1K
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill neural-training --agent claude-code

Installs into .claude/skills of the current project.

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

RETRIEVE — Fetch relevant patterns via HNSW (150x-12,500x faster)
JUDGE — Evaluate with verdicts (success$failure)
DISTILL — Extract key learnings via LoRA
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 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

SKILL.md on GitHub

Details

Repository: github.com/ruvnet/ruflo
Category: Code Review & Quality
First seen: Jun 3, 2026