What problem does it solve? Coding agents often fail in repositories because they lack clear instructions on how to build, test, lint, and navigate the codebase. Bloated or stale instruction files waste context and mislead agents, while missing guidance leads to violated architecture boundaries and broken conventions. ## Core Features & Use Cases - Structured AGENTS.md authoring: Provides a complete template covering commands, repository structure, architecture boundaries, coding standards, testing, commit conventions, and guardrails. - Map-not-manual philosophy: Keeps AGENTS.md under ~150 lines as a table of contents that points to deeper documentation instead of duplicating it. - Monorepo pattern support: Explains how to layer root and nested AGENTS.md files so package-specific rules override global ones. - Use Case: When setting up a new repository for AI coding agents, use this Skill to generate an AGENTS.md that lets any agent build, test, and contribute correctly from day one. ## Quick Start Ask the agent to write an AGENTS.md file for this repository following the do-agents-md guidelines.