skill-creator

To create Claude skills, you draft a SKILL.md file, write test prompts, run evaluations, and iterate on the description to maximize triggering accuracy. This workflow supports progressive disclosure and frontmatter validation to produce reusable skill units.

Iterative evaluation for Claude skills is a benchmarking process where you run test prompts against your skill, analyze the results, and refine the description. This loop maximizes triggering accuracy and ensures the skill activates correctly in the intended contexts.

You validate frontmatter for Claude skills by using built-in validation tools to check metadata structure and enforce progressive disclosure. This process ensures your SKILL.md file meets required standards before bundling optional resources like scripts or references.

Yes, you need the pyyaml dependency to run the bundled scripts for skill creation. This Python library parses and validates the frontmatter metadata required in your SKILL.md files during the iterative evaluation and benchmarking process.

The best way to improve Claude skill triggering accuracy is through description optimization and iterative eval loops. You benchmark test prompts against your skill, analyze performance, and refine the SKILL.md description until the skill reliably activates.

Yes, you can bundle optional resources like scripts, references, and assets with your Claude skill. This produces portable, reusable skill units that support progressive disclosure and can be validated through the frontmatter validation process.