Optimize natural language skills for AI agents with targeted trajectory edits and validation-driven learning. Perfect for developers building adaptive, self-improving language models.
4,296 stars437 forksPythonUpdated 6/2/2026100% free · open source
What it does
Automatically refines and improves AI language skills by iteratively editing and validating model response trajectories
When to use it
•Building AI agents that need precise, repeatable language performance
•Creating specialized language models for complex task domains
•Developing self-improving conversational AI with consistent output quality
Quick start
1Install SkillOpt via pip: pip install skillopt
2Define your target language skill and performance criteria
3Run trajectory optimization to generate validated skill improvements
4Export best performing skill configuration using best_skill.md