Ai-Ready
Ai-Ready是一款data方向的AI技能，核心价值是Make any repo AI-ready — analyzes your codebase and generates AGENTS，可用于解决开发者在data领域的实际问题，帮助用户提升效率、自动化重复任务或优化工作流。
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
mkdir -p ./skills/ai-ready && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-ready/SKILL.md -o ./skills/ai-ready/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# AI Ready
This skill helps the user install the latest [ai-ready](https://github.com/johnpapa/ai-ready) skill by [John Papa](https://github.com/johnpapa).
*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](https://github.com/johnpapa/ai-ready) — always up to date.
Steps
1. 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.
2. Remind the user to review the skill before loading it. They can inspect it with:
```bash
head -20 ~/.copilot/skills/ai-ready/SKILL.md
```
3. 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`.
4. Do **not** run the command on the user's behalf. The user must run it themselves.
🎯 Best For
- Engineering teams doing code reviews
- Open source maintainers
- Developers scaffolding new projects
- Prototype builders
- Data analysts
💡 Use Cases
- Reviewing pull requests for security vulnerabilities
- Checking code style consistency
- Bootstrapping React components
- Creating API route handlers
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Ai-Ready to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this skill check for OWASP Top 10?
Security-focused review skills often include OWASP checks. Check the skill content for specific vulnerability categories covered.
Can I customize the generated output?
Yes — modify the skill's prompt instructions to match your project conventions and coding style.
Can this connect to my database directly?
Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.
How do I install Ai-Ready?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/ai-ready/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Blindly accepting AI suggestions
Always verify AI-generated review comments. Some suggestions may not apply to your specific codebase conventions.
Using generated code without understanding
Understand what generated code does before shipping it to production.
Not validating data quality
AI analysis is only as good as your input data. Profile and clean data before analysis.
Ignoring data quality
AI analysis inherits all data quality issues — profile your data first.