agents-md

Generate and manage AGENTS.md files for AI coding agent workflows.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Zoimback/copilot-dev-core --skill agents-md-zoimback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agents-md
Source: https://github.com/Zoimback/copilot-dev-core/tree/main/.github/skills/agents-md
Command: npx skills add https://github.com/Zoimback/copilot-dev-core --skill agents-md-zoimback

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows you to define specific instructions and workflows for AI coding agents, ensuring they operate according to your project's needs when performing tasks like code reviews, CI execution, or PR creation.

Core Features & Use Cases

  • Agent Workflow Definition: Create AGENTS.md, CLAUDE.md, or GEMINI.md files to guide AI agent behavior.
  • Contextual Instructions: Place AGENTS.md files in any directory to provide specific instructions relevant to that part of the codebase.
  • Use Case: Instruct your coding agent on the exact steps to follow when creating a pull request, including title format, required checks, and reviewer assignments.

Quick Start

Use the agents-md skill to create a new AGENTS.md file in the root of the repository with global instructions for the coding agent.

Frequently Asked Questions about agents-md

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

FAQPage Schema
How do I define specific workflows for my AI coding agent?

You can define AI coding agent workflows by generating an AGENTS.md file that contains specific instructions for actions like pull request creation, CI execution, and code exploration. This file acts as a behavioral guide for the agent operating within your repository.

Can I provide context-specific instructions to Copilot or Claude in different directories?

Yes, you can place AGENTS.md, CLAUDE.md, or GEMINI.md files in any directory to provide context-specific instructions. This hierarchical placement ensures the coding agent receives relevant guidance for that specific part of the codebase.

What is the best way to instruct an AI agent on pull request creation steps?

The best way to instruct AI agents on pull request creation is to define the exact steps, title format, required checks, and reviewer assignments within an AGENTS.md file, ensuring the agent follows your project's specific workflow requirements.

How does hierarchical instruction placement work for AI coding agents?

Hierarchical instruction placement works by allowing you to put AGENTS.md files in various directories. The AI coding agent reads these files to receive context-specific guidance relevant to the exact location within the codebase it is currently operating.

Do I need any dependencies to generate AGENTS.md files for my repository?

No dependencies are required to generate and manage AGENTS.md files. You can create a new file in the root of your repository to establish global instructions for your coding agent without installing additional packages.

Why should I use AGENTS.md instead of standard configuration files for coding agents?

Using AGENTS.md provides explicit workflow definitions for AI agents, ensuring they execute tasks like code reviews and CI execution according to your project's needs rather than relying on generic or default agent behaviors.