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 Claude's output. This Skill provides a structured draft-test-review-iterate workflow with quantitative benchmarking. ## 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 best practices. - Evaluation Harness: Runs test prompts with and without the skill via parallel subagents, grades assertions, aggregates pass rates, timing, and token usage into benchmark.json, and renders an HTML review viewer. - Description Optimization: Generates trigger/no-trigger eval queries, runs an automated optimization loop with train/test splits, and applies the best-performing description. - Use Case: You want a skill that formats weekly sales reports. This Skill helps you draft it, creates realistic test prompts, runs baseline comparisons, shows results in a browser viewer, and iterates until the outputs pass your review. ## Quick Start Help me create a new skill that converts meeting transcripts into structured action-item lists, then test and improve it.
