What problem does it solve? Building a reliable AI skill requires more than writing a prompt — it needs structured drafting, realistic test cases, quantitative benchmarking against baselines, and iterative refinement based on user feedback. This Skill guides the entire lifecycle so skills trigger correctly and perform well across diverse prompts. ## Core Features & Use Cases - Guided Skill Authoring: Interview-driven workflow that captures intent, writes SKILL.md frontmatter and body, and applies progressive disclosure patterns with scripts, references, and assets. - Evaluation & Benchmarking: Runs with-skill and baseline test cases in parallel, grades assertions, aggregates pass rates, timing, and token usage into benchmark reports, and renders an interactive HTML review viewer. - Description Optimization: Generates trigger/no-trigger eval queries, runs an automated optimization loop with train/test splits, and selects the best-performing description to improve triggering accuracy. - Use Case: A user says "turn this workflow into a skill." The Skill drafts the SKILL.md, creates test prompts, runs comparative evals, presents results in a browser viewer, and iterates until the user is satisfied. ## Quick Start Help me create a new skill that converts meeting transcripts into structured action-item lists, then test and refine it.
