What problem does it solve? AI rules files like CLAUDE.md, AGENTS.md, and .cursor/rules/*.mdc often grow bloated, vague, and poorly ordered, which wastes context window space and causes agents to ignore critical instructions. This Skill audits any rules-for-AI markdown file and returns a structured scorecard with actionable fixes. ## Core Features & Use Cases - Five-dimension audit: Scores length, direct code snippets, vague language, redundant knowledge, and rule ordering with OK/WARN/FAIL verdicts. - Grounded rewrites: Translates vague phrases like "write clean code" into testable, project-specific rules using signals from the file and repo. - Interactive reordering: Proposes a better section order based on U-shaped attention and asks for approval before moving any content. - Use Case: A team notices their agent ignores security rules buried at line 300 of AGENTS.md. Run this Skill to get a scorecard showing the ordering failure, plus a proposal to lift critical rules to the top. ## Quick Start Review the rules in @AGENTS.md and give me the scorecard with fixes.