What problem does it solve? Building effective AI skills requires more than writing instructions — descriptions must trigger reliably, outputs must be validated against real prompts, and improvements must be measured rather than guessed. This Skill provides a structured create-test-review-iterate loop with quantitative benchmarking so skill quality is verified with data instead of intuition. ## Core Features & Use Cases - Guided Skill Authoring: Interviews the user about intent, triggers, and output formats, then drafts a SKILL.md following progressive disclosure and anatomy 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 query sets and runs an automated train/test optimization loop to improve skill triggering accuracy. - Use Case: You want to build a skill that converts meeting notes into Jira tickets. This Skill helps you draft it, creates test cases, runs comparative evaluations, shows results in a browser viewer, and iterates until the outputs pass review. ## Quick Start Help me create a new skill that turns my weekly meeting notes into structured action items, then test it with a few realistic prompts.
