Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
ai-ready
ai-ready is an open-source integrations skill for GitHub Copilot, published by github. Its author describes it as: “Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE…”. The project has 38k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/github/awesome-copilot ~/.claude/skills/ai-ready`.
What ai-ready does
This skill helps the user install the latest ai-ready skill by John Papa.
Installation
Add ai-ready to your agent with:
git clone https://github.com/github/awesome-copilot ~/.claude/skills/ai-readyAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for ai-ready is organised into these sections:
- Steps
When to use it
Reach for ai-ready when you want integrations help from GitHub Copilot without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in github/awesome-copilot, an established project with 37,982 GitHub stars
- Declares compatibility with GitHub Copilot
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does ai-ready do?
- Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
- How do I install ai-ready?
- Run git clone https://github.com/github/awesome-copilot ~/.claude/skills/ai-ready in your agent, then reload your skills. Review the source at https://github.com/github/awesome-copilot before installing.
- Is ai-ready free to use?
- Yes. ai-ready is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Which agents does ai-ready work with?
- ai-ready declares compatibility with GitHub Copilot. Agent Skills use a portable SKILL.md format, so other compatible clients can usually load it too.
- Where does ai-ready come from?
- ai-ready ships inside github/awesome-copilot, a repository that contains 41 catalogued skills in total. The repository's 37,982 GitHub stars apply to that whole collection, not to this skill on its own.
Related skills
More Integrations →Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.