Vercel AI Agent Skills

If you're using Cursor, you already know how much time AI saves. But sometimes the AI just writes code that "works" without really following the best patterns for the framework you're using. I got that experience sometimes.

In January 2026, Vercel released the Agent Skills. It's a set of instructions that tell the AI exactly how to handle Next.js and React the "right" way. Instead of getting generic code, you get suggestions that look like they came from a senior dev.

I have tried it, and I think it's helpful. Mostly I use it to get suggestions for performance, accessibility, and maintainability. I asked the AI to review my code and give me suggestions for improvement. And I found that the suggestions are better than the generic code I used to get.

The Skills I'm Using Right Now

I've been running these in my editor, and here's the breakdown of what I use and what they do:

• next-best-practices & vercel-react-best-practices: These focus on the stuff that actually makes an app fast. They help stop "waterfalls" (where data fetches get stuck waiting on each other) and keep your bundle size small. It's less about "cool features" and more about making sure the app isn't sluggish.

• vercel-composition-patterns: This one is great for keeping your code clean. If you find yourself passing 20 different props into a single component, this skill will suggest better ways to structure things (like compound components) so your code is easier to read and reuse later.

• web-design-guidelines: This is like having a UX auditor in your editor. It checks for things we usually forget, like proper ARIA labels for accessibility, keyboard navigation, and making sure your images don't slow down the page.

Real Examples of How I Use It

Here are a few real scenarios where this helps. Mostly I use it to review my code and give me suggestions for improvement. But, you can also use it to scaffold new code.

Example 1: Reviewing a Next.js Page

I ask:

"Using the Next.js and React best practices skills, review this page for performance and best practices"

The agent checks:

• re-rendering issues
• hydration issues
• memoization
• data fetching strategy
• performance optimizations

And gives concrete suggestions for improvement.

Example 2: UI Review

I ask:

"Using the Web Design Guidelines skill, audit this UI for accessibility and UX"

It flags:

• missing alt text
• missing focus states
• poor form labels
• layout shift risks

The Benefits

Using these skills has made a huge difference in my code quality and productivity. By using skills like next-best-practices and web-design-guidelines, the AI stops giving you generic code and starts following actual production standards.

It really helps me to catch potential issues and improve my code quality and productivity.

The other benefit that I feel is that you can learn from it. Sometimes, I got suggestions from the AI that I haven't thought of before, or even that I didn't know before.

You can also read the skills directly to learn about the best practices for the framework you're using. I spent some time reading the skills and I learned a lot.

Why I Think This Is a Big Deal

The big shift here is: We're moving from prompt-based AI to knowledge-based AI. Instead of relying on the model to “know everything”, we now package domain knowledge into skills.

This is much closer to how engineers actually work: having playbooks, standards, patterns, and code review guidelines. I think this can make the AI less halucinating and more helpful.

How to Add Them

If you want to try it out in your own setup, it's just one command:

npx skills add vercel-labs/agent-skills

Check it in their Github: https://github.com/vercel-labs/agent-skills

References

• Vercel Agent Skills
• Agent skills explained: An FAQ
• Introducing skills, the open agent skills ecosystem