skill-creator

To create and test AI skills for automation, you can use a skill creator to capture intent, draft a SKILL.md file, run structured evaluations, and iterate on performance metrics to improve triggering accuracy across scenarios.

A SKILL.md file captures the intent, workflow, and evaluation plans for an AI skill. It serves as the core definition document that guides how the skill operates, triggers, and measures performance across different automation scenarios.

You evaluate and benchmark AI skill performance by running structured evals and benchmark loops. This process quantifies triggering accuracy and outcomes, recording test prompts and metrics to enable repeatable improvement iterations.

Yes, you can bundle and reuse scripts, references, and assets when building new skills. This allows you to scale skill development across multiple projects while maintaining consistent quality and safety guards.

The best way to iterate on AI skill triggering accuracy is using structured iteration loops. By recording test prompts, evaluating results, and benchmarking performance metrics, you can systematically refine the skill to improve outcomes.