skill-creator

To create and evaluate Claude-like skills, draft a concept, build a SKILL.md file with YAML frontmatter, and run an automated evaluation loop to iteratively test and refine triggering accuracy.

An automated evaluation loop for skill benchmarking orchestrates prompts, evaluations, and benchmark reporting to drive continuous refinement and ensure reproducible skill improvements.

Yes, you need YAML to structure a SKILL.md file, as the system requires YAML frontmatter with name and description fields to ensure safety and reproducibility.

Improve trigger optimization for AI skills by facilitating trigger tuning, tracking history, and analyzing performance analytics within an iterative benchmark loop.

Yes, you can use this skill authoring workflow for large-scale development because it provides a reproducible workflow to draft SKILL.md, embed frontmatter, and organize iterative improvements.

Limitations of automated skill evaluation loops include the strict requirement for YAML frontmatter and the need to continually expose evaluation artifacts for analysis to maintain safety and reproducibility.