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create-agentsmd

Prompt for generating an AGENTS.md file for a repository

Install / Use

npx skills add github/awesome-copilot --skill create-agentsmd

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

OpenAI Codex

Our assessment of create-agentsmd

create-agentsmd scores 90/100 on our quality scale, 153rd of 464 Content & Media skills we index (top 33%).

Its SKILL.md is 7.7 KB long, well organised into 36 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 39,348 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
8/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so create-agentsmd is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

create-agentsmd compared with similar skills

All 4 of these similar skills score higher than create-agentsmd; compare them before choosing.

SkillScoreStarsUpdatedFormat
create-agentsmd (this skill)by github9039.3k2d agoSKILL.md
siyuanby siyuan-note10046.5ktodayMCP Server
algorithmic-artby anthropics100177.9k4d agoSKILL.md
pptxby anthropics100177.9k4d agoSKILL.md
designby nextlevelbuilder100130.2k5d agoSKILL.md

Frequently asked questions

How do I install create-agentsmd?
Run npx skills add github/awesome-copilot --skill create-agentsmd. The install tabs above show the steps for each supported agent.
Which AI agents does create-agentsmd work with?
It is written for OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is create-agentsmd safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is create-agentsmd still maintained?
The repository was last updated 2 days ago, so create-agentsmd is actively maintained.

name: create-agentsmd description: 'Prompt for generating an AGENTS.md file for a repository'

Create high‑quality AGENTS.md file

You are a code agent. Your task is to create a complete, accurate AGENTS.md at the root of this repository that follows the public guidance at https://agents.md/.

AGENTS.md is an open format designed to provide coding agents with the context and instructions they need to work effectively on a project.

What is AGENTS.md?

AGENTS.md is a Markdown file that serves as a "README for agents" - a dedicated, predictable place to provide context and instructions to help AI coding agents work on your project. It complements README.md by containing detailed technical context that coding agents need but might clutter a human-focused README.

Key Principles

  • Agent-focused: Contains detailed technical instructions for automated tools
  • Complements README.md: Doesn't replace human documentation but adds agent-specific context
  • Standardized location: Placed at repository root (or subproject roots for monorepos)
  • Open format: Uses standard Markdown with flexible structure
  • Ecosystem compatibility: Works across 20+ different AI coding tools and agents

File Structure and Content Guidelines

1. Required Setup

  • Create the file as AGENTS.md in the repository root
  • Use standard Markdown formatting
  • No required fields - flexible structure based on project needs

2. Essential Sections to Include

Project Overview

  • Brief description of what the project does
  • Architecture overview if complex
  • Key technologies and frameworks used

Setup Commands

  • Installation instructions
  • Environment setup steps
  • Dependency management commands
  • Database setup if applicable

Development Workflow

  • How to start development server
  • Build commands
  • Watch/hot-reload setup
  • Package manager specifics (npm, pnpm, yarn, etc.)

Testing Instructions

  • How to run tests (unit, integration, e2e)
  • Test file locations and naming conventions
  • Coverage requirements
  • Specific test patterns or frameworks used
  • How to run subset of tests or focus on specific areas

Code Style Guidelines

  • Language-specific conventions
  • Linting and formatting rules
  • File organization patterns
  • Naming conventions
  • Import/export patterns

Build and Deployment

  • Build commands and outputs
  • Environment configurations
  • Deployment steps and requirements
  • CI/CD pipeline information

3. Optional but Recommended Sections

Security Considerations

  • Security testing requirements
  • Secrets management
  • Authentication patterns
  • Permission models

Monorepo Instructions (if applicable)

  • How to work with multiple packages
  • Cross-package dependencies
  • Selective building/testing
  • Package-specific commands

Pull Request Guidelines

  • Title format requirements
  • Required checks before submission
  • Review process
  • Commit message conventions

Debugging and Troubleshooting

  • Common issues and solutions
  • Logging patterns
  • Debug configuration
  • Performance considerations

Example Template

Use this as a starting template and customize based on the specific project:

# AGENTS.md

## Project Overview

[Brief description of the project, its purpose, and key technologies]

## Setup Commands

- Install dependencies: `[package manager] install`
- Start development server: `[command]`
- Build for production: `[command]`

## Development Workflow

- [Development server startup instructions]
- [Hot reload/watch mode information]
- [Environment variable setup]

## Testing Instructions

- Run all tests: `[command]`
- Run unit tests: `[command]`
- Run integration tests: `[command]`
- Test coverage: `[command]`
- [Specific testing patterns or requirements]

## Code Style

- [Language and framework conventions]
- [Linting rules and commands]
- [Formatting requirements]
- [File organization patterns]

## Build and Deployment

- [Build process details]
- [Output directories]
- [Environment-specific builds]
- [Deployment commands]

## Pull Request Guidelines

- Title format: [component] Brief description
- Required checks: `[lint command]`, `[test command]`
- [Review requirements]

## Additional Notes

- [Any project-specific context]
- [Common gotchas or troubleshooting tips]
- [Performance considerations]

Working Example from agents.md

Here's a real example from the agents.md website:

# Sample AGENTS.md file

## Dev environment tips

- Use `pnpm dlx turbo run where <project_name>` to jump to a package instead of scanning with `ls`.
- Run `pnpm install --filter <project_name>` to add the package to your workspace so Vite, ESLint, and TypeScript can see it.
- Use `pnpm create vite@latest <project_name> -- --template react-ts` to spin up a new React + Vite package with TypeScript checks ready.
- Check the name field inside each package's package.json to confirm the right name—skip the top-level one.

## Testing instructions

- Find the CI plan in the .github/workflows folder.
- Run `pnpm turbo run test --filter <project_name>` to run every check defined for that package.
- From the package root you can just call `pnpm test`. The commit should pass all tests before you merge.
- To focus on one step, add the Vitest pattern: `pnpm vitest run -t "<test name>"`.
- Fix any test or type errors until the whole suite is green.
- After moving files or changing imports, run `pnpm lint --filter <project_name>` to be sure ESLint and TypeScript rules still pass.
- Add or update tests for the code you change, even if nobody asked.

## PR instructions

- Title format: [<project_name>] <Title>
- Always run `pnpm lint` and `pnpm test` before committing.

Implementation Steps

  1. Analyze the project structure to understand:

    • Programming languages and frameworks used
    • Package managers and build tools
    • Testing frameworks
    • Project architecture (monorepo, single package, etc.)
  2. Identify key workflows by examining:

    • package.json scripts
    • Makefile or other build files
    • CI/CD configuration files
    • Documentation files
  3. Create comprehensive sections covering:

    • All essential setup and development commands
    • Testing strategies and commands
    • Code style and conventions
    • Build and deployment processes
  4. Include specific, actionable commands that agents can execute directly

  5. Test the instructions by ensuring all commands work as documented

  6. Keep it focused on what agents need to know, not general project information

Best Practices

  • Be specific: Include exact commands, not vague descriptions
  • Use code blocks: Wrap commands in backticks for clarity
  • Include context: Explain why certain steps are needed
  • Stay current: Update as the project evolves
  • Test commands: Ensure all listed commands actually work
  • Consider nested files: For monorepos, create AGENTS.md files in subprojects as needed

Monorepo Considerations

For large monorepos:

  • Place a main AGENTS.md at the repository root
  • Create additional AGENTS.md files in subproject directories
  • The closest AGENTS.md file takes precedence for any given location
  • Include navigation tips between packages/projects

Final Notes

  • AGENTS.md works with 20+ AI coding tools including Cursor, Aider, Gemini CLI, and many others
  • The format is intentionally flexible - adapt it to your project's needs
  • Focus on actionable instructions that help agents understand and work with your codebase
  • This is living documentation - update it as your project evolves

When creating the AGENTS.md file, prioritize clarity, completeness, and actionability. The goal is to give any coding agent enough context to effectively contribute to the project without requiring additional human guidance.

Related Skills

View on GitHub
GitHub Stars39.3k
CategoryContent
Updated2d ago
Forks5.0k

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions