What problem does it solve? Writing an effective skill is hard to get right on the first try — descriptions may fail to trigger, instructions may be ambiguous, and there is no built-in way to know whether a skill actually improves outcomes. This Skill provides a structured draft-test-review-improve loop with quantitative benchmarking so skills are validated against real test prompts rather than guesswork. ## Core Features & Use Cases - Guided Skill Authoring: Captures intent through interview questions, then writes SKILL.md frontmatter and body following progressive disclosure and writing-style best practices. - 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. - Description Optimization: Generates trigger/no-trigger eval queries, reviews them in an HTML tool, and runs an automated loop that rewrites the skill description to maximize triggering accuracy on held-out test queries. - Use Case: You want a skill that formats weekly sales spreadsheets. This Skill helps you draft it, creates realistic test prompts, runs with-skill vs baseline comparisons, shows results in a review viewer, and iterates until the outputs pass your review. ## Quick Start Ask the assistant to create a new skill for your workflow and let it draft, test, and refine the skill through evaluation iterations.
