Guide creation, refinement, and evaluation of AI skills.
npx skills add https://github.com/BaiShuanghao/my_arXiv_daily --skill skill-creator-baishuanghao
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/BaiShuanghao/my_arXiv_daily/tree/main Command: npx skills add https://github.com/BaiShuanghao/my_arXiv_daily --skill skill-creator-baishuanghao
This Skill Unit addresses the challenges of creating new skills from scratch, improving existing skills, and measuring their performance. It provides a structured approach to skill development, ensuring better trigger accuracy and efficient skill creation.
Use the skill creator to start a new skill development project. Begin by capturing the user's intent and defining the skill's scope.
High-intent search queries and answers about installing and using this skill.
Yes, refining existing AI skills involves iterating on descriptions and making improvements based on quantitative benchmarks and qualitative feedback. This continuous process optimizes trigger accuracy and overall skill performance.
Evaluating AI skill performance requires using quantitative benchmarks alongside qualitative feedback. This dual approach measures trigger accuracy and guides the iterative improvements needed for optimization.
Yes, developing AI skills requires familiarity with AI concepts and Python programming. Dependencies include Python environments and libraries like arxiv, requests, yaml, and subprocess to execute evaluation scripts.
Yes, you can improve existing AI skills by analyzing performance data and user feedback. The process involves iterating on skill descriptions and running evaluations to achieve continuous optimization.
Performance evaluations are needed continuously throughout the AI skill lifecycle to measure trigger accuracy. Running evaluations after iterating on descriptions ensures the skill meets quantitative benchmarks and qualitative targets.
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