SkillOpt
Improves frozen-model agent performance without retraining: SkillOpt learns from agent trajectories through a full training loop (rollout, reflect, aggregate…
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.
- Generate optimized prompts for DevOps tasks by analyzing successful agent trajectories and validation results.
- Automate creation of reusable infrastructure skill definitions that improve LLM agent performance on repeated tasks.
- Extract and refine natural-language instructions from working deployment patterns into deployable skill artifacts.
Improves frozen-model agent performance without retraining: SkillOpt learns from agent trajectories through a full training loop (rollout, reflect, aggregate, select, update, evaluate) with validation-gated updates, and produces a deployable best_skill.md artifact. v0.2.0 adds SkillOpt-Sleep, a nightly offline self-evolution engine, plus plugin shells for Claude, Codex, Copilot, and Devin.
Teams building LLM agents who want better performance on repeated task types by training reusable natural-language skills — without fine-tuning or retraining the underlying model.
https://github.com/microsoft/SkillOpt
By microsoft
How to Get It
pip install skillopt
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me generate optimized prompts for DevOps tasks by analyzing successful agent trajectories and validation results
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- SkillOpt – Executive Strategy for Self-Evolving Agent Skills — Hacker News · 4 pts
- SkillOpt – Executive Strategy for Self-Evolving Agent Skills — Hacker News · 4 pts
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills — Hacker News · 4 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 5,922 GitHub stars; contributors unknown; last commit 2d ago; license MIT.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 5,922 GitHub stars; contributors unknown; last commit 2d ago; license MIT.