agents-md-generator

To generate coding conventions for AI agents, this Skill analyzes your project structure, identifies naming patterns and coding styles, and automatically creates hierarchical AGENTS.md files establishing consistent project-wide rules.

Yes, you can update existing AGENTS.md files when your codebase changes. The Skill supports an incremental update mode that efficiently refreshes the convention guides to reflect new module-specific rules and structural modifications.

AGENTS.md files define coding conventions and patterns for AI agents within a project. You need them during initial project setup or refactoring to ensure AI agents follow your specific naming conventions, coding standards, and architectural patterns.

Yes, this automation tool supports hierarchical convention guides. It creates both root-level and module-level AGENTS.md files, allowing large projects to maintain localized coding conventions and module-specific rules alongside global patterns.

Codebase analysis identifies naming patterns and coding styles by scanning your project structure. It extracts conventions from existing code, detects architectural patterns, and translates these findings into structured guides that direct AI agent behavior.

The best way to automate AI agent conventions across multiple modules is using a scaffolding tool that analyzes your codebase and generates hierarchical AGENTS.md files, ensuring consistent coding standards without manual documentation effort.