Agent skill · AI & Agents

agent-sona-learning-optimizer

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

rUv71,307★ · +1,002/wk · 3 repos on radarProfile →
claude-codecodexMIT
Install
npx skills add ruvnet/ruflo --skill agent-sona-learning-optimizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: .agents/skills/agent-sona-learning-optimizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Source: ruvnet/ruflo
Stars: 67,015 · +629 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

--- 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 Bas

What's inside
Steps it walks through
  1. Overview
  2. Core Capabilities
  3. 1. Adaptive Learning
  4. 2. Pattern Discovery
  5. 3. LoRA Fine-Tuning
  6. 4. LLM Routing
  7. Performance Characteristics
  8. Throughput
  9. Quality Improvements by Domain
  10. Hooks
  11. References
Commands it runs
npx claude-flow@alpha hooks pre-task --description "$TASK"
npx claude-flow@alpha hooks post-task --task-id "$ID" --success true
More from ruflo
All skills →
About this skill
What does the agent-sona-learning-optimizer skill do?

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

How do I install it?

Run `npx skills add ruvnet/ruflo --skill agent-sona-learning-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going