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 systematic way to know whether a change actually improved the skill. 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 writes a SKILL.md following progressive disclosure and writing-style best practices. - Evaluation & Benchmarking: Runs test prompts with and without the skill via parallel subagents, grades assertions, and aggregates pass rates, timing, and token usage into benchmark.json with variance analysis. - Description Optimization: Generates realistic trigger eval queries, reviews them in an HTML template, 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 Jira tickets. This Skill helps you draft it, creates test prompts, runs with-skill vs baseline comparisons, shows results in a browser-based review 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.
