skill-creator

To create and iterate on Claude skills, you draft a SKILL.md file with YAML frontmatter, run automated trigger evaluations across an eval set, and benchmark improvements across iterations using the built-in evaluation loop.

Evaluating Claude skills involves running automated trigger evaluations across a designated eval set, collecting the results, and visualizing the outcomes with an eval viewer to benchmark progress and validate improvements.

You package Claude skills for distribution by using the built-in packaging scripts provided in the skill directory, which prepare your validated SKILL.md and associated components for deployment.

Yes, you need Python tooling including the Anthropic and PyYAML dependencies to load, test, and package structured skills within the skill directory workflow.

The best way to structure modular Claude skills is to define a clear YAML frontmatter and detailed body in a SKILL.md file, maintaining a structured directory to load, test, and package components like scripts and references.

Trigger evaluations may not improve if the skill body lacks clear intent or the eval set is insufficient. Describe specific improvements, run controlled experiments, and benchmark progress to identify and resolve skill deficiencies.