agents-md-writer

Generate retrieval-oriented AGENTS.md guides for AI agent projects.

1|Updated Jan 27, 2026

Search Tags:#templates #documentation #Context7 #compression #agents.md #retrieval-led

Ready to run

npx skills add https://github.com/devskale/skale-skills --skill agents-md-writer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agents-md-writer
Source: https://github.com/devskale/skale-skills/tree/main/skills/agents-md-writer
Command: npx skills add https://github.com/devskale/skale-skills --skill agents-md-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams create concise, retrieval-friendly AGENTS.md guides for AI coding agents, reducing context window demands while preserving up-to-date references.

Core Features & Use Cases

AGENTS.md generation: Automatically craft a compact, retrieval-oriented guide that documents project context, conventions, and APIs.
Framework-aware indexing: Recommend Context7 MCP integration for live documentation when available.
Quality checks: Provide compression strategies and references to templates to keep docs under 10KB.
Use Case: For multi-framework repos, maintain a single AGENTS.md that summarizes architecture, conventions, and how to query docs.

Quick Start

Example command: Create an AGENTS.md for a Next.js 16 project with a Django REST API and a shared monorepo.

Frequently Asked Questions about agents-md-writer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create compressed documentation for AI agents in a monorepo?▼

AGENTS.md generation creates a compact, retrieval-oriented guide that documents project context, conventions, and APIs while keeping docs under 10KB. This format reduces context window demands for AI coding agents while maintaining up-to-date references across multi-framework setups.

What should go into an AGENTS.md file?▼

AGENTS.md summarizes architecture, conventions, and how to query documentation. Start with a root SKILL.md containing name and description, then add optional scripts, references, and assets directories to extend capabilities and provide compression strategies.

Can I use AGENTS.md with multi-framework projects and monorepos?▼

Yes, AGENTS.md applies to multi-framework setups and monorepos by maintaining a single retrieval-friendly guide. Framework-aware indexing recommends Context7 MCP integration for live documentation when available to keep guidance current.

How does retrieval-led documentation reduce AI agent context requirements?▼

Retrieval-led AGENTS.md uses indexable, compression-optimized formats that let AI agents query specific project conventions and APIs without loading entire documentation. This preserves token budget while keeping references accessible and up-to-date.

What's the difference between AGENTS.md and standard project documentation?▼

AGENTS.md is purpose-built for AI agents: it prioritizes compressed, indexable formats and retrieval-oriented guidance over narrative prose. Standard docs emphasize human readability; AGENTS.md emphasizes token efficiency and query-friendly structure.

Do I need templates to write an effective AGENTS.md?▼

The skill provides compression strategies and references to templates to guide structure, but you need a root SKILL.md with name and description as the foundation. Templates help maintain consistency and keep documentation under 10KB.