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 measure whether a skill actually improves outcomes. This Skill provides a structured draft-test-review-iterate workflow with quantitative benchmarking so skills are validated against real test prompts instead of guesswork. ## Core Features & Use Cases - Guided skill authoring: Captures intent through interview questions, then drafts SKILL.md files following progressive disclosure and writing-style best practices. - Parallel evaluation runs: Spawns with-skill and baseline subagent runs for each test prompt, grades outputs against assertions, and aggregates pass rates, timing, and token usage into benchmark reports. - Interactive review viewer: Generates a browser-based viewer for qualitative feedback on outputs plus a quantitative benchmark tab, feeding user comments back into the next iteration. - Description optimization: Generates 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: A user wants a skill that formats weekly sales spreadsheets. This Skill drafts it, runs three realistic test prompts with and without the skill, shows the results side by side, and iterates until the outputs pass review. ## Quick Start Ask the assistant to create a new skill for a workflow you have in mind, and it will interview you, draft the skill, and set up test cases to verify it works.
