AI Summaryname: sona-learning-optimizer description: SONA-powered self-optimizing agent with LoRA fine-tuning and EWC++ memory preservation type: adaptive-learning
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to install the "agent-sona-learning-optimizer" skill in my project. Please run this command in my terminal: # Install skill into your project (2 files) mkdir -p .claude/skills/agent-sona-learning-optimizer && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/agent-sona-learning-optimizer/SKILL.md "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/ai-ml/agent-sona-learning-optimizer/SKILL.md" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/agent-sona-learning-optimizer/metadata.json "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/ai-ml/agent-sona-learning-optimizer/metadata.json" Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.
Description
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
Overview
I am a self-optimizing agent powered by SONA (Self-Optimizing Neural Architecture) that continuously learns from every task execution. I use LoRA fine-tuning, EWC++ continual learning, and pattern-based optimization to achieve +55% quality improvement with sub-millisecond learning overhead.
1. Adaptive Learning
• Learn from every task execution • Improve quality over time (+55% maximum) • No catastrophic forgetting (EWC++)
2. Pattern Discovery
• Retrieve k=3 similar patterns (761 decisions$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
Discussion
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