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 outcomes. This Skill provides a structured draft-test-review-iterate workflow with quantitative benchmarking so skills are validated against real test prompts rather than guesswork. ## 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 & Benchmarking: Runs test prompts with and without the skill via parallel subagents, grades assertions, and aggregates pass rates, timing, and token usage into benchmark reports with an interactive HTML review viewer. - Description Optimization: Generates realistic trigger/no-trigger eval queries, runs an automated optimization loop with train/test splits, and applies the best-performing description to improve triggering accuracy. - Use Case: A user wants a skill that formats weekly status reports. This Skill helps draft it, creates three realistic test prompts, runs with-skill and baseline comparisons, presents results in a browser viewer, and iterates on the instructions until the outputs satisfy the user. ## Quick Start Help me create a new skill that converts my meeting notes into structured action items, then test it with a few realistic prompts.
