Guide · Agent skill
How to use the AI Ready Repo Setup agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The ai-ready skill is an agent skill that prepares a code repository for AI coding agents. It is a small wrapper that installs the full ai-ready skill by John Papa, which analyzes your codebase and generates agent instruction files such as AGENTS.md and copilot-instructions.md. This guide explains what the skill does, how to install it, how to trigger it, and what to check before you let it write files into your project.
Quick start
- 1Confirm your tool supports skills. Make sure you are using GitHub Copilot CLI with support for the /skills command, and that you have network access.
- 2Install the skill yourself. Inside Copilot CLI, run the add command for johnpapa/ai-ready. The agent should not run this for you.
- 3Review the downloaded SKILL.md. Inspect the first lines of ~/.copilot/skills/ai-ready/SKILL.md before loading it.
- 4Reload skills. Run the reload command so the agent picks up the newly installed skill.
- 5Ask for the setup. Say 'make this repo ai-ready' from the root of the repository.
- 6Review the output. Read the proposed AGENTS.md, copilot-instructions.md, workflows and templates before you approve or commit them.
What an agent skill is and what ai-ready does
An agent skill is a set of instructions that an AI agent loads when a request matches the skill's description. The skill is a SKILL.md file, and the agent reads it to learn how to handle a task.
This skill is a wrapper. Its SKILL.md tells the agent how to install the upstream ai-ready skill from johnpapa/ai-ready. The upstream skill is roughly 600 lines of detailed instructions that the author updates often. The wrapper keeps the skill discoverable here while the upstream repository stays the source of truth.
- Once the upstream skill is installed, asking the agent to make a repo 'AI-ready' lets it analyze your codebase.
- It can then generate agent instruction files (such as AGENTS.md and copilot-instructions.md), CI workflows, and issue templates.
- The description says the skill also mines PR review patterns and tailors files to your stack.
Install the ai-ready skill in GitHub Copilot CLI
The method documented in the skill file is to run the add command inside GitHub Copilot CLI. This downloads the latest version of the skill to your personal skills directory. Running the command again updates it to the latest version.
This page also describes a ZIP download. You can download the ZIP from this page and unzip it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder to scope it to one repository. In the Claude apps, you can upload the skill under Settings, then Capabilities, then Skills.
Whichever route you use, check that the skill's files are in place before you rely on it. Your agent needs to be able to load skills, so confirm your tool supports the /skills command.
- Requirement: GitHub Copilot CLI with support for the /skills command.
- Requirement: network access to download the skill from johnpapa/ai-ready.
- Run the install yourself. The skill file says the user must run the install command, and the agent should not run it for you.
/skills add johnpapa/ai-readyReview the skill before you load it
Read the downloaded skill before you use it. The ai-ready skill can generate workflows and configuration files that run in your project, so this step matters. The wrapper's own instructions say to look at the start of the file first.
This wrapper does not run scripts, but it does use the network to fetch the upstream skill. The upstream skill was not reviewed for this page, so read its contents yourself before you accept the files it generates.
- Runs scripts: no (for this wrapper).
- Uses network: yes, to download the skill from johnpapa/ai-ready.
- Inspect the file before loading it, and review any generated CI workflows and config before committing them.
head -20 ~/.copilot/skills/ai-ready/SKILL.mdLoad the skill and trigger it with a request
After you have reviewed and installed the skill, reload skills so the agent sees it. Then make a plain request. The skill's description lists phrases that should trigger it, such as 'make this repo ai-ready', 'set up AI config', or 'prepare this repo for AI contributions'.
You do not need special syntax. Start the agent in the root of the repository you want to prepare, so it can analyze the codebase that is actually there.
- Good requests: 'make this repo ai-ready', 'set up AI config for this project', 'prepare this repo for AI contributions'.
- If the skill does not respond, reload skills and try the request again.
- Review what the agent proposes before you approve file changes.
/skills reloadExamples of what the agent can produce
Because the skill analyzes your codebase, the output depends on your stack and existing files. Expect the agent to explain what it found and what it plans to create. Read those files before you commit them.
The skill's description names these outputs, so treat them as the expected range rather than a guarantee for every repository.
- AGENTS.md and copilot-instructions.md, describing how AI agents should work in the repo.
- CI workflows that run in your project.
- Issue templates for AI-assisted contributions.
- Files customized to your language and framework choices.
Tips for getting good results
Run the skill on a clean working tree so you can see exactly which files were added or changed. Commit the generated files in a separate commit so they are easy to review or revert.
If you want an option that does not depend on this wrapper, look at the upstream repository johnpapa/ai-ready directly. This page does not compare it with other tools.
- Start with a clean git state so changes are easy to diff.
- Read generated workflows before merging, since they may run in your project.
- Keep the install and the generation as separate steps you control.
What people use it for
- Adding AGENTS.md and copilot-instructions.md to a maintained repository so AI agents follow project conventions.
- Preparing an open-source project to accept AI-assisted contributions with clear issue templates.
- Generating a starting set of CI workflows that you then review and adjust for your stack.
- Trying the upstream ai-ready skill in GitHub Copilot CLI before deciding whether to use it on other repos.
Frequently asked questions
Is the ai-ready skill free?
This page does not state pricing or licence terms for the install. The wrapper is listed under the MIT licence, and the upstream skill lives in johnpapa/ai-ready, which was not reviewed here. Check that repository's licence before you rely on it.
What do I need to use the ai-ready skill?
You need GitHub Copilot CLI with support for the /skills command, plus network access to download the skill from johnpapa/ai-ready. The wrapper does not run scripts itself.
How do I install ai-ready in GitHub Copilot CLI?
Run the add command for johnpapa/ai-ready inside Copilot CLI. It downloads the latest version to your personal skills directory, and you can run it again to update. Run it yourself rather than letting the agent do it.
Where do I put the ai-ready skill files if I download the ZIP?
This page describes unzipping the download into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder for one repository. In the Claude apps, you can upload it under Settings, then Capabilities, then Skills.
Is it safe to run the ai-ready skill on my repo?
Review it first. The skill can generate workflows and configuration that run in your project, and the upstream skill was not reviewed for this page. Inspect the SKILL.md, then read every generated file before committing it.
What is the difference between this wrapper and the full ai-ready skill?
This wrapper contains install instructions only. The real logic, including how the codebase is analyzed and which files are generated, lives in the upstream johnpapa/ai-ready repository.
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Our verdict
This skill suits maintainers and developers who use GitHub Copilot CLI and want to generate AI agent configuration without writing it by hand. It is a pointer to the upstream ai-ready skill, so people expecting a self-contained setup tool should look elsewhere or read the upstream repository first. Anyone who wants automatic installs, or who will not review generated workflows, should pick a different approach.
Download the skill