agents-md

Generate and standardize AGENTS.md documentation for repository-specific AI agent guidance.

Updated Dec 29, 2025
One-click install
npx skills add https://github.com/AmidVoshakul/chatorai --skill agents-md-amidvoshakul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agents-md
Source: https://github.com/AmidVoshakul/chatorai/tree/main/assets/skills/agents-md
Command: npx skills add https://github.com/AmidVoshakul/chatorai --skill agents-md-amidvoshakul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates bloated, redundant, or outdated agent instructions by enforcing a standardized, minimal documentation format that improves AI instruction-following quality.

Core Features & Use Cases

  • Standardized Documentation: Automatically generates or updates AGENTS.md with required sections like package management and file-scoped commands.
  • Best Practice Enforcement: Ensures agent instructions remain under 100 lines and avoids duplicating existing configuration files.
  • Use Case: When onboarding a new AI agent to a complex repository, use this skill to generate a clean AGENTS.md that provides the agent with only the essential commands and conventions needed to operate effectively.

Quick Start

Use the agents-md skill to create a new AGENTS.md file in the project root based on the current repository structure.

Frequently Asked Questions about agents-md

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

FAQPage Schema
How do I create concise agent documentation for a complex repository?

To create concise agent documentation, generate a standardized AGENTS.md file in the project root. This file provides repository-specific guidance by defining only essential package management commands and file-scoped instructions for AI agents.

Why does my AI agent ignore instructions in large documentation files?

AI agents ignore instructions in large documentation files due to signal dilution from bloated or redundant content. Enforcing a minimal documentation pattern under 100 lines ensures high-signal instruction following for AI agents.

What is the best way to standardize AI agent instructions across multiple projects?

The best way to standardize AI agent instructions is to enforce a minimal documentation format that generates an AGENTS.md file with required sections. This prevents duplicating existing configuration files and maintains only essential, high-signal commands.

How do I generate file-scoped command definitions for development workflows?

You generate file-scoped command definitions by applying standardized documentation patterns to your repository structure. This creates an AGENTS.md file that defines minimal, scoped commands to help AI agents operate effectively within specific development workflows.

What are the limitations of using minimal documentation patterns for AI agents?

The limitation of minimal documentation patterns is the strict 100-line constraint, which requires avoiding duplicated configuration data. If a repository lacks existing configuration files, you must manually ensure all essential conventions are captured within this strict limit.

Does agents-md work with existing repository configuration files?

Yes, the documentation standard works with existing configuration files by explicitly avoiding duplication. It extracts only the essential, high-signal commands and conventions needed for AI agent operation, ensuring the generated AGENTS.md remains concise and under 100 lines.