Agent skill

Neural Training

by ruvnet in ruvnet/ruflo

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation.

MITAuto-check passed

Install Neural Training

skills CLI
$ npx skills add ruvnet/ruflo --skill neural-training -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo neural-training --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/neural-training .claude/skills/neural-training && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
neural-training
GitHub stars
74k
Used in
3 other repos
Token cost
~432 tokens
SKILL.md length
121 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation.

  • Works in 4 steps: RETRIEVE — Fetch relevant patterns via… → JUDGE — Evaluate with verdicts… → DISTILL — Extract key learnings via LoRA → …
  • : pattern learning
  • SKILL.md covers Purpose, When to Trigger, Intelligence Pipeline and Components, plus 2 more sections
  • Calls npx

What it does

Neural Training is an agent skill from ruvnet/ruflo. Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with C++. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • : pattern learning
  • Model optimization
  • Knowledge transfer
  • Adaptive routing

Example prompts

  • “/neural-training”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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++

What it can do on your machine

Read from SKILL.md and the folder at commit 6051f67. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Neural Training loads about 432 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 121 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~432

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 121 words, ~432 tokens.

Download SKILL.mdSave it as .claude/skills/neural-training/SKILL.md (or your agent's skills folder).
name
neural-training
description
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

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
bash
npx claude-flow neural train --model-type moe --epochs 10
Check Status
bash
npx claude-flow neural status
View Patterns
bash
npx claude-flow neural patterns --type all
Predict
bash
npx claude-flow neural predict --input "task description"
Optimize
bash
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

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/neural-training of ruvnet/ruflo.

Open the folder on GitHubat commit 6051f67

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Neural Training next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Neural Training compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Neural Training this skillruvnet/ruflo74k3 repos~432Automated safety check: PassMIT
Paddle BuildPaddlePaddle/Paddle24k—~1kAutomated safety check: PassApache-2.0
Fory Releaseapache/fory4.6k—~2.9kAutomated safety check: PassApache-2.0
ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime22k—~3.3kAutomated safety check: PassMIT
Code Audit3stoneBrother/code-audit8931 repos~2.7kAutomated safety check: PassNone
Qt C++ Code Reviewx-tools-author/x-tools1.1k2 repos~4.3kAutomated safety check: PassBSD-3-Clause

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Works with

Questions about Neural Training

What does Neural Training do?

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Neural Training is an agent skill from ruvnet/ruflo. Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation.

When should I use Neural Training?

Neural Training fits situations like: : pattern learning; model optimization; knowledge transfer; adaptive routing.

How do I install Neural Training in Claude Code?

Run `npx skills add ruvnet/ruflo --skill neural-training -a claude-code`. Or copy the skill folder (.agents/skills/neural-training in ruvnet/ruflo) into .claude/skills/neural-training in your project. Claude Code loads it when a task matches its description.

How do I install Neural Training in Codex?

Run `npx skills add ruvnet/ruflo --skill neural-training -a codex`. Or copy the skill folder (.agents/skills/neural-training in ruvnet/ruflo) into .agents/skills/neural-training in your project. Codex loads it when a task matches its description.

Can I use Neural Training in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill neural-training -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neural-training, .gemini/skills/neural-training, .github/skills/neural-training and .opencode/skills/neural-training in your project.

What does Neural Training need to run?

Going by SKILL.md and its folder, Neural Training needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Neural Training access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Neural Training safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Neural Training use?

Neural Training is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Neural Training use?

About 432 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Neural Training?

Skills that share tags, products or a category with Neural Training: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 893 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Neural Training?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.