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Agent skill

Agent Sona Learning Optimizer

by ruvnet in ruvnet/ruflo

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

MITAuto-check passedAI & LLM Engineering

Install Agent Sona Learning Optimizer

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-sona-learning-optimizer -a claude-code

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

GitHub CLI
$ gh skill install ruvnet/ruflo agent-sona-learning-optimizer --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/agent-sona-learning-optimizer .claude/skills/agent-sona-learning-optimizer && 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
agent-sona-learning-optimizer
GitHub stars
74k
Used in
3 other repos
Token cost
~516 tokens
SKILL.md length
177 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

  • Works in 4 steps: Adaptive Learning → Pattern Discovery → LoRA Fine-Tuning → …
  • Tasks that involve Fine-tuning
  • SKILL.md covers Overview, Core Capabilities, Performance Characteristics and Hooks, plus 1 more section
  • Calls npx

What it does

Agent Sona Learning Optimizer is an agent skill from ruvnet/ruflo. Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Fine-tuning. 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

  • Tasks that involve Fine-tuning

Example prompts

  • “/agent-sona-learning-optimizer”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Adaptive Learning
  2. Pattern Discovery
  3. LoRA Fine-Tuning
  4. LLM Routing

What it can do on your machine

Read from SKILL.md and the folder at commit de590e1. 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

Agent Sona Learning Optimizer loads about 516 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 177 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~516

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 de590e1, republished under its MIT licence (© ruvnet). 177 words, ~516 tokens.

Download SKILL.mdSave it as .claude/skills/agent-sona-learning-optimizer/SKILL.md (or your agent's skills folder).
name
agent-sona-learning-optimizer
description
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

name: sona-learning-optimizer description: SONA-powered self-optimizing agent with LoRA fine-tuning and EWC++ memory preservation type: adaptive-learning capabilities:

  • sona_adaptive_learning
  • lora_fine_tuning
  • ewc_continual_learning
  • pattern_discovery
  • llm_routing
  • quality_optimization
  • sub_ms_learning

SONA Learning Optimizer

Overview

I am a self-optimizing agent powered by SONA (Self-Optimizing Neural Architecture) that continuously learns from every task execution. I use LoRA fine-tuning, EWC++ continual learning, and pattern-based optimization to achieve +55% quality improvement with sub-millisecond learning overhead.

Core Capabilities

1. Adaptive Learning
  • Learn from every task execution
  • Improve quality over time (+55% maximum)
  • No catastrophic forgetting (EWC++)
2. Pattern Discovery
  • Retrieve k=3 similar patterns (761 decisions$sec)
  • Apply learned strategies to new tasks
  • Build pattern library over time
3. LoRA Fine-Tuning
  • 99% parameter reduction
  • 10-100x faster training
  • Minimal memory footprint
4. LLM Routing
  • Automatic model selection
  • 60% cost savings
  • Quality-aware routing

Performance Characteristics

Based on vibecast test-ruvector-sona benchmarks:

Throughput
  • 2211 ops$sec (target)
  • 0.447ms per-vector (Micro-LoRA)
  • 18.07ms total overhead (40 layers)
Quality Improvements by Domain
  • Code: +5.0%
  • Creative: +4.3%
  • Reasoning: +3.6%
  • Chat: +2.1%
  • Math: +1.2%

Hooks

Pre-task and post-task hooks for SONA learning are available via:

bash
# Pre-task: Initialize trajectory
npx claude-flow@alpha hooks pre-task --description "$TASK"

# Post-task: Record outcome
npx claude-flow@alpha hooks post-task --task-id "$ID" --success true

References

  • Package: @ruvector$sona@0.1.1
  • Integration Guide: docs/RUVECTOR_SONA_INTEGRATION.md

© 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/agent-sona-learning-optimizer of ruvnet/ruflo.

Open the folder on GitHubat commit de590e1

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

Agent Sona Learning Optimizer 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.

Agent Sona Learning Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Sona Learning Optimizer this skillruvnet/ruflo74k3 repos~516Automated safety check: PassMIT
Adapter Systemscragnog/HOT-Step-CPP170—~6.3kAutomated safety check: PassMIT
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Hugging Face LLM Trainerhuggingface/skills11k3 repos~7.2kAutomated safety check: PassApache-2.0
Sentence-Transformers Training Routerhuggingface/skills11k1 repos~2.6kAutomated safety check: PassApache-2.0
Dataset Evaluationawslabs/agent-plugins9122 repos~1.3kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Agent Sona Learning Optimizer

What does Agent Sona Learning Optimizer do?

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer. Agent Sona Learning Optimizer is an agent skill from ruvnet/ruflo.

When should I use Agent Sona Learning Optimizer?

Agent Sona Learning Optimizer fits situations like: tasks that involve Fine-tuning.

How do I install Agent Sona Learning Optimizer in Claude Code?

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

How do I install Agent Sona Learning Optimizer in Codex?

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

Can I use Agent Sona Learning Optimizer 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 agent-sona-learning-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-sona-learning-optimizer, .gemini/skills/agent-sona-learning-optimizer, .github/skills/agent-sona-learning-optimizer and .opencode/skills/agent-sona-learning-optimizer in your project.

What does Agent Sona Learning Optimizer need to run?

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

Does Agent Sona Learning Optimizer 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 Agent Sona Learning Optimizer 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 Agent Sona Learning Optimizer use?

Agent Sona Learning Optimizer 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 Agent Sona Learning Optimizer use?

About 516 tokens (SKILL.md is roughly 2.1k 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 Agent Sona Learning Optimizer?

Skills that share tags, products or a category with Agent Sona Learning Optimizer: Adapter System (scragnog/HOT-Step-CPP, 170 stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars), Hugging Face LLM Trainer (huggingface/skills, 11k stars) and Sentence-Transformers Training Router (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Sona Learning Optimizer?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,012 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 7, 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.