What problem does it solve? Building effective AI agent skills requires more than writing instructions — descriptions must trigger reliably, outputs must be verified, and improvements must be validated against baselines. This Skill provides a complete workflow for drafting skills, running controlled evaluations, benchmarking performance, and optimizing trigger descriptions. ## Core Features & Use Cases - Skill Authoring: Guides you through intent capture, interviewing, and writing SKILL.md files with proper frontmatter, progressive disclosure, and bundled scripts/references/assets. - Evaluation & Benchmarking: Runs test prompts with and without the skill in parallel, grades outputs against assertions, and aggregates pass rates, timing, and token usage into benchmark reports with an interactive HTML viewer. - Description Optimization: Generates realistic trigger/no-trigger eval queries and runs an automated train/test optimization loop to improve skill triggering accuracy. - Use Case: You want to build a skill that converts meeting notes into structured action items. This Skill helps you draft it, create test cases, compare outputs against a no-skill baseline, review results in a browser viewer, and iterate until quality is satisfactory. ## Quick Start Help me create a new skill that extracts action items from meeting transcripts, then test it with a few realistic prompts.
