Create and refine AI skills with SKILL.md and performance evaluations.
npx skills add https://github.com/KnoWhiz/DoWhiz --skill skill-creator-knowhiz
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/KnoWhiz/DoWhiz/tree/main/.agents/skills/skill-creator Command: npx skills add https://github.com/KnoWhiz/DoWhiz --skill skill-creator-knowhiz
This Skill streamlines the entire process of creating new AI skills, refining existing ones, and ensuring they perform optimally, saving you significant development time and effort.
SKILL.md, and structuring skill resources.SKILL.md, create test cases, run evaluations, and optimize the description so Claude reliably uses it when needed.Use the skill creator to help me build a new skill that summarizes meeting notes.
High-intent search queries and answers about installing and using this skill.
To create a new AI skill, you define the skill's intent, draft the SKILL.md file, and structure the supporting resources. This skill guides you through the end-to-end lifecycle from initial conception to structuring the necessary metadata for deployment.
AI skill description optimization automatically tunes the metadata description to ensure accurate skill triggering. It improves the operational effectiveness of the AI agent by refining prompt engineering so the skill activates reliably when needed.
You evaluate AI agent performance by running iterative testing and quantitative benchmarking against established test cases. This skill facilitates performance evaluation of skill triggering accuracy and operational effectiveness based on metrics.
Yes, developing and testing AI skills requires an understanding of skill metadata, prompt engineering, and evaluation methodologies. This background is necessary to properly structure resources and optimize the AI agent's triggering accuracy.
The best way to refine an existing AI skill is through iterative improvement based on user feedback and performance metrics. This process involves modifying the skill, running evaluations, and optimizing the description for better triggering accuracy.
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