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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.

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pythonskill-packPythonself-evolving-agentsagent-skills

SkillOpt is a text-space optimizer from Microsoft that trains reusable natural-language skills for frozen LLM agents. It edits skills based on agent trajectories, gates updates through validation, and produces a deployable best_skill.md artifact.

Use it to improve a frozen LLM agent's behavior by optimizing prompt-level skills instead of model weights.

Use it to

  • Train reusable skills from agent trajectories
  • Gate skill updates via validation
  • Deploy best_skill.md to your agent
  • Optimize prompts without touching model weights

For Developers building and tuning LLM agent systems

Role
skill-pack
Language
Python
Licence
MIT
Forks
1,598
Open issues
20
Last push
2026-09-05
Latest release
v0.1.0 · 2026-06-02
topicsagent-skillsself-evolving-agentstext-space-optimizationprompt-optimizationllm-agentspython