agent-sona-learning-optimizer
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/ruvnet/ruflo --skill agent-sona-learning-optimizer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-sona-learning-optimizer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
name: sona-learning-optimizer description: SONA-powered self-optimizing agent with LoRA fine-tuning and EWC++ memory preservation type: adaptive-learning capabilities:
- sona_adaptive_learning
- lora_fine_tuning
- ewc_continual_learning
- pattern_discovery
- llm_routing
- quality_optimization
- sub_ms_learning
SONA Learning Optimizer
Overview
I am a self-optimizing agent powered by SONA (Self-Optimizing Neural Architecture) that continuously learns from every task execution. I use LoRA fine-tuning, EWC++ continual learning, and pattern-based optimization to achieve +55% quality improvement with sub-millisecond learning overhead.
Core Capabilities
1. Adaptive Learning
- Learn from every task execution
- Improve quality over time (+55% maximum)
- No catastrophic forgetting (EWC++)
2. Pattern Discovery
- Retrieve k=3 similar patterns (761 decisions$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$sec (target)
- 0.447ms per-vector (Micro-LoRA)
- 18.07ms total overhead (40 layers)
Quality Improvements by Domain
- Code: +5.0%
- Creative: +4.3%
- Reasoning: +3.6%
- Chat: +2.1%
- Math: +1.2%
Hooks
Pre-task and post-task hooks for SONA learning are available via:
# Pre-task: Initialize trajectory
npx claude-flow@alpha hooks pre-task --description "$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
FAQ
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 agent-sona-learning-optimizer?
Run npx skills add https://github.com/ruvnet/ruflo --skill agent-sona-learning-optimizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-sona-learning-optimizer/ (personal) or .claude/skills/agent-sona-learning-optimizer/ (project).
Which AI agents can use agent-sona-learning-optimizer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-sona-learning-optimizer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-sona-learning-optimizer?
It is published by ruvnet in ruvnet/ruflo. It has 1,122 recorded installs.
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