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 change actually improved performance. This Skill provides a structured draft-test-review-iterate workflow with quantitative benchmarking so skill quality is measured rather than guessed. ## Core Features & Use Cases - Guided Skill Authoring: Interviews the user about intent, trigger contexts, and output formats, then drafts a SKILL.md following progressive disclosure and writing-style best practices. - Evaluation Harness: Runs test prompts with and without the skill via parallel subagents, grades outputs against assertions, and aggregates pass rates, timing, and token usage into benchmark reports. - Review Viewer: Generates an HTML viewer for side-by-side qualitative review of outputs plus a quantitative benchmark tab, collecting user feedback per iteration. - Description Optimization: Generates realistic trigger/no-trigger eval queries 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, runs three realistic test prompts with and without the skill, shows you the results in a browser viewer, and iterates until the outputs pass your review. ## Quick Start Ask the assistant to help you create a new skill for your workflow, or to evaluate and improve an existing skill using test cases and benchmarks.
