dev-agents-md-team-coverage

You can audit AGENTS.md coverage by running this Skill, which systematically reviews and scores existing files against a golden template. It identifies gaps, proposes changes, creates missing files, and generates draft pull requests with domain-appropriate reviewers assigned.

An AGENTS.md codebase audit evaluates and scores the architecture documentation files that provide AI coding assistants with project context. It identifies missing sections and gaps against a golden template, ensuring AI agents properly understand project architecture and best practices.

Yes, automating AGENTS.md pull requests requires Git access and authenticated GitHub CLI. The Skill also requires team mapping and repository paths to correctly generate draft pull requests and assign domain-appropriate reviewers across team-owned repositories.

Yes, you can check AGENTS.md compliance for specific groups like backend microservices. The Skill uses team mapping and repository paths to focus the audit on targeted repositories, identifying deficiencies and creating PRs to bring them up to standard.

The best way to standardize inconsistent AGENTS.md files is to audit them against a golden template. This Skill systematically scores existing files, pinpoints missing sections, and generates draft PRs with suggested changes to align all repositories with documentation standards.

Your AI coding assistant may misunderstand project architecture due to inconsistent or incomplete AGENTS.md files. Auditing these files against a golden template helps pinpoint missing sections and areas for improvement, providing the AI agent with necessary architectural context.