skill-creator

Automate Claude skills testing and iteration by using an eval-driven loop that evaluates prompt triggering and performance benchmarks to guide improvements before final deployment.

An eval-driven loop in prompt engineering is an automated cycle of testing trigger prompts and benchmarking performance to systematically refine and improve a model's skill behavior.

You package a Claude skill for distribution by using an automated packaging flow that compiles the iteratively tested SKILL.md frontmatter, body, and optional scripts into a distributable .skill file.

Yes, you need the pyyaml dependency installed in your environment to parse and manage the SKILL.md frontmatter required during the skill creation and benchmarking process.

The best way to optimize SKILL.md descriptions for triggering is to iteratively draft descriptions, run eval prompts to test activation, and apply benchmark feedback until performance meets your criteria.

Claude skill prompts fail to trigger correctly when the SKILL.md descriptions lack optimization; running automated evals and benchmarking tests identifies weaknesses to refine the triggering logic.