Author, validate, and optimize Claude Code skills with Python and YAML.
npx skills add https://github.com/insmtx/Lework --skill skill-creator-insmtx
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/insmtx/Lework/tree/main/backend/skills/worker/skill-creator Command: npx skills add https://github.com/insmtx/Lework --skill skill-creator-insmtx
Building effective AI skills requires more than writing good prompts—it needs systematic testing, evaluation, and iteration to ensure they trigger correctly and perform reliably across diverse user queries.
Use the skill-creator skill to design a new skill for summarizing meeting transcripts, then run the evaluation loop to test its outputs and optimize its description for better triggering.
High-intent search queries and answers about installing and using this skill.
To test and benchmark AI skills, you can run quantitative evaluations with baseline comparisons, generate benchmark reports with pass rates, and analyze performance patterns using subprocess orchestration for parallel evaluation runs.
The best way to create Claude Code skills is to capture intent, draft SKILL.md files, and structure bundled resources like scripts and references using a systematic meta-workflow for authoring and validating skill metadata.
Yes, you need Python for script execution and YAML parsing for skill metadata validation to automatically improve skill descriptions using train/test splits and iterative refinement for better triggering accuracy.
Description optimization improves AI agent triggering by applying train/test splits and iterative refinement to skill descriptions, ensuring Claude invokes the correct skill when users mention specific tasks like code reviews.
Yes, you can run parallel evaluation runs for baseline benchmarking of custom code review skills by utilizing subprocess orchestration to compare outputs with and without the skill and analyze quantitative grading results.
Without systematic evaluation and iteration, AI skills lack reliable triggering accuracy and performance validation across diverse user queries, making it difficult to ensure they perform reliably in production environments.
MCCTeamCreate and iterate Claude skill drafts and evaluation workflows.
manastalukdarPoll logs, error rates, and endpoints to verify post-deployment health.
UniFormTSCreate, test, and optimize AI agent skills with structured evaluation workflows.
yasuwrldhyperCreate and refine AI skills with SKILL.md metadata and benchmark testing.
