What problem does it solve? Writing an effective Agent 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 create-test-review-iterate workflow with quantitative benchmarks and human feedback loops. ## 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 in parallel, grades outputs against assertions, aggregates pass rates, timing, and token usage into benchmark.json, and renders results in an HTML review viewer. - Description Optimization: Generates realistic should-trigger and should-not-trigger queries, then runs an automated train/test optimization loop to improve the skill's triggering accuracy. - Use Case: You want to build a skill that formats weekly sales reports. This Skill helps you draft it, creates test prompts, runs side-by-side comparisons against a baseline, shows you the results in a browser viewer, and iterates until the outputs meet your standards. ## Quick Start Ask the agent to help you create a new skill for your workflow, or point it at an existing skill directory and ask it to run evaluations and improve it.
