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Analyze codebases and generate AGENTS.md files for AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "AGENTS.md Generator" MCP server from askskill: Run: claude mcp add 'io-github-nushey-agents-md-generator' -- npx -y agents-md-generator
Analyze this code repository’s structure, tech stack, and key modules, then generate an AGENTS.md to help AI coding agents understand project conventions, entry points, common commands, and collaboration rules.
A well-structured AGENTS.md summarizing architecture, development commands, coding conventions, and agent guidelines.
Scan this multi-module repository, identify each subproject’s role, dependencies, and build process, and produce an AGENTS.md explaining how AI agents should locate code and perform tasks across modules.
An agent-focused document for a multi-module project with module summaries, dependencies, and task execution guidance.
Reanalyze the current repository structure and update the AGENTS.md with new directories, script commands, testing procedures, and the latest development rules AI agents should follow.
An updated AGENTS.md that accurately reflects the latest project structure and agent operating rules.
Give AI coding agents automatic access to AGENTS.md for codebase conventions.
Coordinate multiple AI agents in one Git repo and prevent conflicts early.
Extend AI coding agents with curated skills for development and professional workflows.
Provide Git-native project memory for AI coding agents with safe, reviewable context.
Give AI agents read-only workspace awareness with efficient context packing.
Give coding agents persistent, evidence-backed project memory across sessions.