SkillOpt
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Train AI agents to improve their language skills using structured learning methods without changing their core programming.
From the README
pip install -e ".[webui]" python -m skillopt_webui.app
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeSkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
SkillOpt has 16.5k stars on GitHub. It has been forked 1.6k times. SkillOpt is written mainly in Python. It has been in active development since 2026. SkillOpt is available under the MIT license. Its main topics are agent-skills, self-evolving-agents.
What is SkillOpt?
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Is SkillOpt open source?
SkillOpt is an open-source project. It is released under the MIT license.
Is SkillOpt free?
Yes. SkillOpt is free and open source — you can use, modify and self-host it.
What license does SkillOpt use?
SkillOpt is available under the MIT license.
What language is SkillOpt written in?
SkillOpt is written mainly in Python.
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