skill-creator

The best way to automate Claude skill creation is using an end-to-end workflow that drafts SKILL.md, runs iterative evaluations via evals.json, and updates descriptions based on feedback. This structured pipeline moves teams from ideation to validated behavior with measurable results.

You test and iterate on prompt designs by defining evaluations in evals.json and running an automated loop. This evaluation-driven improvement process leverages eval results to refine descriptions and test coverage until performance stabilizes.

Yes, you can benchmark iteration performance across configurations. The workflow integrates with benchmarking tools to compare configurations, track progress across iterations, and measure results for engineers and analysts validating triggering behavior.

Yes, yaml is required to draft SKILL.md files. The structured pipeline relies on yaml-formatted SKILL.md frontmatter and evals.json to orchestrate the end-to-end workflow, run iterative evaluations, and automatically improve descriptions.

Multi-step skill orchestration requires scripts, references, and optional bundles integrated with eval-viewer and run_loop. These components automate the workflow from drafting SKILL.md to running evals and updating descriptions based on feedback.