Create and refine AI skills with SKILL.md metadata and automated testing.
npx skills add https://github.com/Witroch4/witdev-skills --skill skill-creator-witroch4
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/Witroch4/witdev-skills/tree/main/skill-creator Command: npx skills add https://github.com/Witroch4/witdev-skills --skill skill-creator-witroch4
This Skill streamlines the entire lifecycle of creating and refining AI skills, from initial concept to performance evaluation, making skill development accessible and efficient.
SKILL.md files.SKILL.md, create test cases, run evaluations, and optimize the description so Claude uses it effectively.Use the skill-creator to help me build a new skill that can summarize meeting notes.
High-intent search queries and answers about installing and using this skill.
Build and test AI skills by defining the intent, writing the SKILL.md metadata, bundling resources like scripts, and running automated evaluation loops to measure performance for agentic systems.
Optimizing AI agent skill descriptions involves running an automated evaluation loop that tunes the metadata text to maximize triggering accuracy, ensuring the AI agent selects the correct skill for a given task.
Yes, you can iteratively modify and refine existing AI skills by running automated tests, evaluating performance metrics, and updating instructions and bundled references based on the results.
When creating an AI agent skill, you need to bundle resources such as executable scripts, reference documents, and static assets alongside the SKILL.md file to support the skill's processing logic.
The best way to evaluate edge cases during skill development is to use an interviewing process to define them upfront, then generate specific test cases and run automated evaluations to validate the skill's behavior.
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