What problem does it solve? Building effective AI skills requires more than writing instructions — descriptions must trigger reliably, outputs must be verified, and improvements must be measured. This Skill provides a structured draft-test-review-iterate loop with quantitative benchmarking so skill quality is validated rather than assumed. ## Core Features & Use Cases - Guided Skill Authoring: Interviews the user to capture intent, then drafts SKILL.md files following progressive disclosure and writing-style best practices. - Evaluation Harness: Runs test prompts with and without the skill via parallel subagents, grades outputs against assertions, and aggregates pass rates, timing, and token usage into benchmark reports. - Description Optimization: Generates realistic trigger eval queries 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 benchmarks, presents results in a review viewer, and iterates until the outputs meet your standards. ## Quick Start Help me create a new skill that reformats my weekly status emails into a structured Markdown report, then test it with a few realistic prompts.
