creating-agents-md

The creating-agents-md skill streamlines the generation of project context files for AI coding agents. By maintaining an agents.md file in the project root, developers ensure that AI assistants have immediate access to critical architectural, workflow, and coding standards without the overhead of complex configuration files. This format relies on plain markdown, strictly forbidding YAML frontmatter to maintain compatibility across various AI coding tools and environments.

• Standardizes project context using pure markdown for universal compatibility

• Eliminates YAML frontmatter, providing a clean and readable structure for LLMs

• Enforces best practices for documenting architecture, tech stacks, file structures, and development workflows

• Prevents AI hallucination by providing a single source of truth for project conventions and business logic

• Ideal for use with PRPM, Cursor, Claude, Windsurf, and other AI-native development environments

• Promotes a documentation-as-code culture within the repository

• To implement, create an agents.md file at the repository root and populate it with sections covering project overview, tech stack, file structure, and coding conventions

• Focus on high-priority information such as specific framework versions, testing patterns, and unique domain knowledge

• Avoid documenting general programming best practices that the AI already understands; keep entries concise and project-specific

• Use free-form structure to highlight what makes the specific codebase unique, such as specific API design patterns or database schema conventions

• Ensure all content remains in plain markdown; avoid adding metadata or special headers that might confuse the assistant

• Regularly update the agents.md file alongside major refactors or changes in project architecture to ensure the AI's context remains relevant and current