from awesome-omni-skill29
Guided workflow for drafting, testing, and iterating Agent Skills: write SKILL.md, run evals, grade outputs, and improve descriptions to improve triggering accu
This skill walks a user through the full lifecycle of creating and improving an Agent Skill. It explains how to capture intent, write SKILL.md frontmatter and body, design test prompts (evals), run with-and-without skill comparisons, grade outputs, aggregate benchmarks, and iterate based on feedback. It also documents tools and file layout conventions (scripts/, references/, assets/) and provides a description-optimization flow to improve triggering accuracy.
Use this skill when you want to author a new Agent Skill or improve an existing one — especially when you need a repeatable loop for drafting test cases, running evaluation runs, and collecting user feedback. It's appropriate for authors who want to package skills, run blind comparisons, or tune the skill description for better invocation.
Designed for authoring and developer assistants (Claude Code, developer CLIs, and other agent authoring environments). The workflow assumes Python tooling and a filesystem for running evals and packaging skills.
This skill has not been reviewed by our automated audit pipeline yet.
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