Draft, test, and benchmark AI skill instructions with automated evaluation loops.
npx skills add https://github.com/mymx2/foreman --skill skill-creator-mymx2
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/mymx2/foreman/tree/main/.qoder/skills.collected/skills/skill-creator Command: npx skills add https://github.com/mymx2/foreman --skill skill-creator-mymx2
This skill streamlines the complex process of developing, evaluating, and refining AI-agent skills, ensuring they are robust, accurate, and performant before deployment.
Use the skill-creator to draft a new skill for summarizing technical documentation and set up the initial test cases.
High-intent search queries and answers about installing and using this skill.
Automating AI agent skill testing involves using iterative evaluation loops to execute baseline comparisons and generate quantitative performance metrics. This skill automates test case creation and behavior analysis to refine instructions.
Optimizing AI skill descriptions for triggering requires a specialized refinement loop that evaluates relevance across diverse user prompts. This skill adjusts descriptions quantitatively to ensure accurate activation only when appropriate.
Setting up an iterative development loop for custom AI skills requires drafting, testing, and refining instructions based on real-world performance. This skill facilitates this cycle through automated evaluations and feedback integration.
Yes, you can run quantitative performance comparisons for AI development prompts. This skill automates baseline comparisons and generates metrics by executing test cases against your drafted instructions.
Custom AI skills trigger incorrectly when descriptions lack optimization for diverse user prompts. This skill provides a specialized evaluation loop to refine descriptions and improve triggering accuracy.
Yes, skill-creator supports automated evaluation of technical documentation summarization. You can draft a summarization skill, set up test cases, and run automated evaluations to compare results against a baseline.
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