Stats
Actions
Tags
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From Napkin
Generates AI configuration files (AGENTS.md, copilot-instructions.md, CI workflows, issue templates) by analyzing your codebase and PR review patterns.
How this skill is triggered — by the user, by Claude, or both
Slash command
/napkin:ai-readyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill helps the user install the latest [ai-ready](https://github.com/johnpapa/ai-ready) skill by [John Papa](https://github.com/johnpapa).
This skill helps the user install the latest ai-ready skill by John Papa.
Why?: The full ai-ready skill is ~600 lines of detailed instructions that evolve frequently. This wrapper keeps it discoverable here while the source of truth stays in johnpapa/ai-ready — always up to date.
Tell the user to add the skill by running this command inside Copilot CLI:
/skills add johnpapa/ai-ready
This downloads the latest version of the skill to their personal skills directory. Re-running the command updates to the latest version.
Remind the user to review the skill before loading it. They can inspect it with:
head -20 ~/.copilot/skills/ai-ready/SKILL.md
After the user confirms they've reviewed and installed it, tell them to reload skills with /skills reload and then say make this repo ai-ready.
Do not run the command on the user's behalf. The user must run it themselves.
npx claudepluginhub ani1797/forge --plugin copilot-sdk3plugins reuse this skill
First indexed Jun 6, 2026
Set up complete GitHub Copilot configuration for a new project based on technology stack
Assesses codebase for AI agent readiness by detecting stacks, monorepos, git setup, and evaluating style, testing, code quality, secrets, and file sizes.
Generates AI assistant configuration files (CLAUDE.md, AGENTS.md, Cursor rules) from codebase analysis. Use when onboarding AI tools or creating/updating these files.