darwin-skill
darwin.skill —— Automatically optimize your Agent Skills by evaluating, improving, testing, retaining, or rolling back changes.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 4.3k
- Source
- skill-github
- Repository
- github.com/alchaincyf/darwin-skill
Overview
darwin.skill is an autonomous skill optimization system inspired by autoresearch, specifically designed for Claude Code. It helps continuously improve Agent Skills through a process of evaluation, enhancement, testing, and either retaining or rolling back changes. Drawing on research from Microsoft Research's SkillLens and SkillOpt, it provides a structured framework with verifiable outcomes. Ideal for developers managing multiple Agent Skills who seek ongoing performance improvements.
Capabilities
- ▪Automatic evaluation of Agent Skills
- ▪Generation of specific improvement proposals
- ▪Multi-dimensional scoring system
- ▪Independent sub-agent scoring
- ▪Ratcheting mechanism to preserve improvements
Use cases
Setup
npx skills add alchaincyf/darwin-skill
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
After installation, say "optimize all skills" or "optimize a specific skill" in any supported Agent tool that handles SKILL.md.
After installation, say "optimize all skills" or "optimize a specific skill" in any supported Agent tool that handles SKILL.md.
Which platforms does darwin.skill support?
Supports any Agent tool compatible with the SKILL.md format.
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