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 skill actually improves results. This Skill provides a structured workflow for drafting skills, running test cases with and without the skill, grading outputs against assertions, and iterating based on quantitative benchmarks and user feedback. ## Core Features & Use Cases - Guided skill authoring: Captures intent through interview questions, then writes SKILL.md with proper frontmatter, progressive disclosure structure, and writing-style guidance. - Evaluation harness: Spawns parallel with-skill and baseline runs, drafts verifiable assertions, grades outputs, and aggregates pass rates, timing, and token usage into benchmark.json via scripts/aggregate_benchmark.py. - Description optimization: Generates trigger/no-trigger eval queries, reviews them in an HTML template, and runs an automated loop to improve the skill description's triggering accuracy. - Use Case: You want a skill that formats weekly sales reports. This Skill helps you draft it, creates three realistic test prompts, runs them with and without the skill, shows results in a review viewer, and iterates until the outputs pass your assertions. ## Quick Start Help me create a new skill that converts meeting transcripts into structured action-item lists, then test and improve it.