What problem does it solve?
This Skill streamlines your agent's instructions by auditing AGENTS.md files for token efficiency, completeness, scope hygiene, and actionability, ensuring your AI agents operate with maximum impact and minimal wasted context.
Core Features & Use Cases
- Token Efficiency Audit: Identifies directives that are redundant, vague, or already covered by default agent behavior or existing skills.
- Actionability Assessment: Ensures instructions are specific and unambiguous for the agent to follow.
- Scope and Placement Analysis: Recommends optimal placement of directives across
AGENTS.md files, skills, and Cursor rules.
- Completeness Check: Highlights missing high-value directives, such as verification matrices or architectural boundaries.
- Use Case: Before a major refactor, use this skill to audit your project's
AGENTS.md files to ensure all agent instructions are concise, relevant, and correctly scoped, preventing confusion and improving agent performance.
Quick Start
Audit all AGENTS.md files in the current repository for token efficiency and actionability.