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SkillOpt

Skill Infrastructure Solid
Works inClaude Code
Solid Scanned — metadata only

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.

16,051 starsMIT (commercial OK)FreeQuick setup

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.

Claude Code Claude Cowork Claude Chat

https://github.com/microsoft/SkillOpt

By microsoft

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
pip install skillopt

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me generate optimized prompts for DevOps tasks by analyzing successful agent trajectories and validation results
CostFree

Trust Signals Auto-scanned

Stars16,051Contributors57Last updated2026-08-15LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-16 · scanner v1

Community Pulse Growing

Discussed on Hacker News

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

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 5,922 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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