What problem does it solve? Writing an effective skill is hard to get right on the first try, and there is no built-in way to know whether a skill actually improves Claude's output or triggers on the right prompts. 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: Interview-driven capture of intent, trigger conditions, and output formats, then generation of a well-structured SKILL.md following progressive disclosure and writing best practices. - Evaluation and benchmarking: Runs test prompts with and without the skill via parallel subagents, grades outputs against assertions, and aggregates pass rate, time, and token statistics into benchmark reports with an interactive HTML review viewer. - Description optimization: Generates realistic trigger/no-trigger eval queries and runs an automated optimization loop with train/test splits to improve skill triggering accuracy. - Use Case: A user wants a skill that formats weekly sales reports. This Skill drafts the SKILL.md, creates three realistic test prompts, runs with-skill and baseline comparisons, presents results in a browser viewer, and iterates based on feedback until the outputs pass review. ## Quick Start Help me create a new skill that converts meeting notes into structured action items, then test it and iterate until it works well.
