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hoodini
vercel

Deploy and configure applications on Vercel. Use when deploying Next.js apps, configuring serverless functions, setting up edge functions, or managing Vercel projects. Triggers on Vercel, deploy, serverless, edge function, Next.js deployment.

Overview

Publisherhoodini
Repositoryai-agents-skills
Skill namevercel
Stars
280
Forks
62
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hoodini on GitHub. Read the source before you install it.

Installation

Install the Vercel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git /tmp/ai-agents-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agents-skills/skills/vercel .claude/skills/vercel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vercel in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vercel on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vercel is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vercel Deployment

Deploy and scale applications on Vercel's edge network.

Quick Start

bash
# Install Vercel CLI
npm i -g vercel

# Deploy
vercel

# Production deploy
vercel --prod

vercel.json Configuration

json
{
  "buildCommand": "npm run build",
  "outputDirectory": ".next",
  "framework": "nextjs",
  "regions": ["iad1", "sfo1"],
  "functions": {
    "api/**/*.ts": {
      "memory": 1024,
      "maxDuration": 30
    }
  },
  "rewrites": [
    { "source": "/api/:path*", "destination": "/api/:path*" },
    { "source": "/:path*", "destination": "/" }
  ],
  "headers": [
    {
      "source": "/api/:path*",
      "headers": [
        { "key": "Access-Control-Allow-Origin", "value": "*" }
      ]
    }
  ],
  "env": {
    "DATABASE_URL": "@database-url"
  }
}

Serverless Functions

typescript
// api/hello.ts
import type { VercelRequest, VercelResponse } from '@vercel/node';

export default function handler(req: VercelRequest, res: VercelResponse) {
  const { name = 'World' } = req.query;
  res.status(200).json({ message: `Hello ${name}!` });
}

Edge Functions

typescript
// api/edge.ts
export const config = {
  runtime: 'edge',
};

export default function handler(request: Request) {
  return new Response(JSON.stringify({ message: 'Hello from Edge!' }), {
    headers: { 'content-type': 'application/json' },
  });
}

Next.js App Router

typescript
// app/api/route.ts
import { NextResponse } from 'next/server';

export async function GET(request: Request) {
  const { searchParams } = new URL(request.url);
  const name = searchParams.get('name') ?? 'World';
  
  return NextResponse.json({ message: `Hello ${name}!` });
}

export async function POST(request: Request) {
  const body = await request.json();
  return NextResponse.json({ received: body });
}

ISR (Incremental Static Regeneration)

typescript
// app/posts/[id]/page.tsx
export const revalidate = 60; // Revalidate every 60 seconds

export async function generateStaticParams() {
  const posts = await getPosts();
  return posts.map((post) => ({ id: post.id }));
}

export default async function Post({ params }: { params: { id: string } }) {
  const post = await getPost(params.id);
  return <article>{post.content}</article>;
}

Vercel KV (Redis)

typescript
import { kv } from '@vercel/kv';

// Set
await kv.set('user:123', { name: 'Alice', visits: 0 });

// Get
const user = await kv.get('user:123');

// Increment
await kv.incr('user:123:visits');

// Hash operations
await kv.hset('session:abc', { userId: '123', expires: Date.now() + 3600000 });
const session = await kv.hgetall('session:abc');

Vercel Postgres

typescript
import { sql } from '@vercel/postgres';

// Query
const { rows } = await sql`SELECT * FROM users WHERE id = ${userId}`;

// Insert
await sql`INSERT INTO users (name, email) VALUES (${name}, ${email})`;

// Transaction
await sql.query('BEGIN');
try {
  await sql`UPDATE accounts SET balance = balance - ${amount} WHERE id = ${from}`;
  await sql`UPDATE accounts SET balance = balance + ${amount} WHERE id = ${to}`;
  await sql.query('COMMIT');
} catch (e) {
  await sql.query('ROLLBACK');
  throw e;
}

Environment Variables

bash
# Add secret
vercel env add DATABASE_URL production

# Pull env vars locally
vercel env pull .env.local

# List env vars
vercel env ls

Cron Jobs

json
// vercel.json
{
  "crons": [
    {
      "path": "/api/daily-job",
      "schedule": "0 0 * * *"
    }
  ]
}
typescript
// api/daily-job.ts
export default function handler(req, res) {
  // Verify it's from Vercel Cron
  if (req.headers['authorization'] !== `Bearer ${process.env.CRON_SECRET}`) {
    return res.status(401).end();
  }
  
  // Run job
  await runDailyJob();
  res.status(200).end();
}

Resources

Frequently asked questions

What does the Vercel AI skill do?

Deploy and configure applications on Vercel. Use when deploying Next.js apps, configuring serverless functions, setting up edge functions, or managing Vercel projects. Triggers on Vercel, deploy, serverless, edge function, Next.js deployment.

Why use Vercel on TypingMind?

Because you install it once and use it with any model. Vercel is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vercel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoodini/ai-agents-skills/tree/master/skills/vercel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vercel?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vercel?

As many as you like. As long as a model supports skills, you can use Vercel with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vercel AI skill free?

It is published on GitHub by hoodini. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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