v0-dev — Codex skill: what it does, how to install
Generates React components with v0, integrates them into Next.js projects via CLI, and automates deployments using the v0 SDK.
npx skills add openai/plugins --skill v0-dev -a codexWhat v0-dev does
This skill equips Codex with instructions for Vercel's v0 development agent. It guides the model through building React, Vue, or Svelte interfaces styled with Tailwind CSS and shadcn/ui. The assistant can generate setup steps and pull components directly into local project folders.
The reference includes setup workflows for v0-sdk, methods for handling chats and version downloads, and instructions for @ai-sdk/vercel. Programmatic usage requires a V0_API_KEY token. Fixed daily quotas apply: 10,000 API requests, 1,000 chat messages, and 100 deployments per account.
Install this skill if your workflow relies on importing v0 interface elements into a Next.js codebase. If you write all frontend styles manually without external scaffolding tools, you do not need it.
What it helps with
- import components into a Next.js project using v0 CLI
- create chats and generate code programmatically with v0-sdk
- configure v0-1.5-md models via the AI SDK
- automate project deployment to Vercel infrastructure via REST API
Example prompts for the agent
- How do I pull a component into my Next.js app using the v0 CLI?
- Show me how to initialize a chat and deploy a project with v0-sdk
- How do I use v0 as a provider with @ai-sdk/vercel?
How to install v0-dev
1Skills CLI (Vercel)
npx skills add openai/plugins --skill v0-dev -a codex2Manually: put the files in place
.agents/skills/v0-dev/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add openai/plugins --skill v0-dev -a claude-code2Manually: put the files in place
~/.claude/skills/v0-dev/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/v0-dev/
Manually: put the files in place
.cursor/skills/v0-dev/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install openai/plugins v0-dev2Manually: put the files in place
.github/skills/v0-dev/SKILL.mdPlatform CLI
gemini skills install https://github.com/openai/plugins --path plugins/vercel/skills/v0-devManually: put the files in place
.devin/skills/v0-dev/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set201
The whole set →Similar
Questions about v0-dev
How do I install v0-dev in Codex?
Run npx skills add openai/plugins --skill v0-dev in your project terminal.
What does the v0-dev skill do?
It provides Codex with guidance, CLI patterns, and SDK methods for integrating v0-generated code into development workflows.
What are the rate limits for the v0 REST API?
The API allows up to 10,000 requests, 1,000 chat messages, and 100 deployments per day.
Source text
SKILL.md · Apache-2.0
---
name: v0-dev
description: v0 by Vercel expert guidance. Use when discussing AI code generation, generating UI components from prompts, v0 CLI usage, v0 SDK/API integration, or integrating v0 into development workflows with GitHub and Vercel deployment.
metadata:
priority: 5
docs:
- "https://v0.dev/docs"
- "https://vercel.com/docs/v0"
sitemap: "https://v0.dev/sitemap.xml"
pathPatterns: []
importPatterns:
- '@v0/sdk'
- 'v0'
bashPatterns:
- '\bnpx\s+v0\b'
- '\bbunx\s+v0\b'
- '\bv0\s+(generate|dev|chat)\b'
promptSignals:
phrases:
- 'generate with v0'
- 'v0 components'
- 'use v0'
- 'v0 generate'
minScore: 6
---
# v0 by Vercel
You are an expert in v0 (v0.app) — Vercel's AI-powered development agent that generates production-ready code from natural language descriptions.
## Overview
v0 transforms prompts into working React/Next.js code. It supports 6M+ developers and 80K+ active teams globally. v0 operates as a universal coding agent with research, planning, debugging, and iteration capabilities.
## Core Capabilities
- **Natural language → code**: Describe what you want, get production React components
- **Visual input**: Upload Figma designs, screenshots, or sketches → code
- **Multi-framework**: Outputs React, Vue, Svelte, HTML, Markdown
- **Agentic intelligence**: Research, plan, debug, iterate autonomously
- **shadcn/ui + Tailwind CSS**: Default styling system
- **Full IDE**: Built-in VS Code editor, terminal, and git panel in the web UI
## CLI Usage
### Component Integration CLI (`v0` package)
Install and pull v0-generated components into your Next.js project:
```bash
# Initialize v0 in an existing Next.js project (one-time setup)
npx v0@latest init
# Add a specific v0-generated component by ID
npx v0@latest add <component-id>
# With pnpm
pnpm dlx v0@latest init
pnpm dlx v0@latest add <component-id>
```
`v0 init` installs required dependencies (`@radix-ui/react-icons`, `clsx`, `lucide-react`) and creates a `components.json` config file.
### "Add to Codebase" (Web UI → Local)
From the v0.dev web interface, click the "Add to Codebase" button (terminal icon) to generate a command:
```bash
npx shadcn@latest add "https://v0.dev/chat/b/<project_id>?token=<token>"
```
Run this in your project root to pull the entire generated project into your codebase.
### Typical Workflow
```bash
# 1. Scaffold a Next.js app
npx create-next-app@latest --typescript --tailwind --eslint
# 2. Initialize v0 integration
npx v0@latest init
# 3. Generate a component on v0.dev, get its ID
# 4. Add the component locally
npx v0@latest add a1B2c3d4
# 5. Import and use in your app
```
### Project Scaffolding CLI
```bash
# Create a new project from v0 templates
npx create-v0-sdk-app@latest my-v0-app
# Use the v0-clone template (full v0.dev replica with auth, DB, streaming)
npx create-v0-sdk-app@latest --template v0-clone
```
## v0 SDK (Programmatic API)
### Installation
```bash
npm install v0-sdk
```
### Authentication
```ts
import { v0 } from 'v0-sdk'
// Automatically reads from process.env.V0_API_KEY
// Or create a custom client:
import { createClient } from 'v0-sdk'
const v0 = createClient({ apiKey: process.env.CUSTOM_V0_KEY })
```
Get your API key at: https://v0.app/chat/settings/keys
### Create a Chat and Generate Code
```ts
import { v0 } from 'v0-sdk'
const chat = await v0.chats.create({
message: 'Create a responsive navbar with dark mode toggle using Tailwind',
system: 'You are an expert React developer',
})
console.log(`Open in browser: ${chat.webUrl}`)
```
### Full Project Workflow (Create → Chat → Deploy)
```ts
import { v0 } from 'v0-sdk'
// Create a project
const project = await v0.projects.create({ name: 'My App' })
// Initialize a chat with existing code
const chat = await v0.chats.init({
type: 'files',
files: [{ name: 'App.tsx', content: existingCode }],
projectId: project.id,
})
// Send follow-up instructions
await v0.chats.sendMessage({
chatId: chat.id,
message: 'Add a sidebar with navigation links and a user avatar',
})
// Deploy when ready
const deployment = await v0.deployments.create({
projectId: project.id,
chatId: chat.id,
versionId: chat.latestVersion.id,
})
console.log(`Live at: ${deployment.url}`)
```
### Download Generated Code
```ts
// Download files from a specific chat version
const files = await v0.chats.downloadVersion({
chatId: chat.id,
versionId: chat.latestVersion.id,
})
```
### SDK Method Reference
**Chats:**
- `v0.chats.create(params)` — Create a new chat
- `v0.chats.sendMessage(params)` — Send a message to an existing chat
- `v0.chats.getById(params)` — Retrieve a specific chat
- `v0.chats.update(params)` — Update chat properties
- `v0.chats.findVersions(params)` — List all versions of a chat
- `v0.chats.getVersion(params)` — Retrieve a specific version
- `v0.chats.updateVersion(params)` — Update files within a version
- `v0.chats.downloadVersion(params)` — Download files for a version
- `v0.chats.resume(params)` — Resume processing of a message
**Projects:**
- `v0.projects.create(params)` — Create a new project
- `v0.projects.getById(params)` — Retrieve a project
- `v0.projects.update(params)` — Update a project
- `v0.projects.find()` — List all projects
- `v0.projects.assign(params)` — Assign a chat to a project
- `v0.projects.getByChatId(params)` — Get project by chat ID
- `v0.projects.createEnvVars(params)` — Create env vars for a project
**Deployments:**
- `v0.deployments.create(params)` — Create deployment from a chat version
- `v0.deployments.getById(params)` — Get deployment details
- `v0.deployments.delete(params)` — Delete a deployment
- `v0.deployments.find(params)` — List deployments
- `v0.deployments.findLogs(params)` — Get deployment logs
## REST API
Base URL: `https://api.v0.dev/v1`
Auth: `Authorization: Bearer <V0_API_KEY>`
| Method | Endpoint | Description |
|--------|----------|-------------|
| `GET` | `/v1/projects` | List projects |
| `POST` | `/v1/projects` | Create project |
| `GET` | `/v1/projects/:id` | Get project |
| `PUT` | `/v1/projects/:id` | Update project |
| `DELETE` | `/v1/projects/:id` | Delete project |
| `POST` | `/v1/chats` | Create/initialize chat |
| `GET` | `/v1/chats/:id/messages` | Get messages |
| `POST` | `/v1/chats/:id/messages` | Send message |
| `POST` | `/v1/deployments` | Create deployment |
### Rate Limits
- API Requests: 10,000/day
- Chat Messages: 1,000/day
- Deployments: 100/day
- File Uploads: 1 GB/day
- Projects per account: 100
### Available Models
- `v0-1.5-md` — Everyday tasks and UI generation
- `v0-1.5-lg` — Advanced reasoning
- `v0-1.0-md` — Legacy model
## AI SDK Integration
### Using v0 as an AI Provider
```bash
npm i @ai-sdk/vercel
```
```ts
import { vercel } from '@ai-sdk/vercel'
import { generateText } from 'ai'
const { text } = await generateText({
model: vercel('v0-1.5-md'),
prompt: 'Create a login form with email and password fields',
})
```
### v0 AI Tools (Agent Integration)
Use v0's full capabilities as tools within an AI SDK agent:
```bash
npm install @v0-sdk/ai-tools ai
```
```ts
import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'
import { v0Tools } from '@v0-sdk/ai-tools'
const result = await generateText({
model: openai('gpt-5.2'),
prompt: 'Create a new React dashboard project with charts and a data table',
tools: v0Tools({ apiKey: process.env.V0_API_KEY }),
})
```
For granular control, import specific tool sets:
```ts
import { createChatTools, createProjectTools, createDeploymentTools } from '@v0-sdk/ai-tools'
```
The `v0Tools` export includes 20+ tools: `createChat`, `sendMessage`, `getChat`, `updateChat`, `deleteChat`, `favoriteChat`, `forkChat`, `listChats`, `createProject`, `getProject`, `updateProject`, `listProjects`, `assignChatToProject`, `createEnvironmentVariables`, `createDeployment`, `getDeployment`, `deleteDeployment`, `listDeployments`, `getDeploymentLogs`.
## MCP Server
Connect v0 to any MCP-compatible IDE (Cursor, Codex, etc.):
```json
{
"mcpServers": {
"v0": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.v0.dev",
"--header",
"Authorization: Bearer ${V0_API_KEY}"
]
}
}
}
```
Exposes 4 tools: create chat, get chat info, find chats, send messages.
## GitHub Integration
### Setup
1. In the v0 chat sidebar → **Git** section → click **Connect**
2. Select GitHub account/org scope and repository name
3. Click **Create Repository** — links chat to a new private GitHub repo
4. A Vercel deployment is automatically created
### Branch Behavior (Automatic)
- Every chat creates a new branch (e.g., `v0/main-e7bad8e4`)
- Every prompt that changes code **automatically commits and pushes**
- You never work directly on `main`
### PR Workflow
1. Click the **Publish** button (shows PR icon when GitHub-connected)
2. Select **Open PR** — creates PR from `v0/main-abc123` → `main`
3. Review in the GitHub modal or on GitHub.com
4. Merge the PR → closes the chat permanently
5. Every PR gets a Preview Deployment; merging triggers Production Deployment
### Importing Existing Repos
1. In v0 prompt bar → click `+` → "Import from GitHub"
2. v0 reads your existing codebase and env vars from Vercel
3. Iterate with prompts; all changes committed to a new branch
## Prompt Engineering Tips
### 1. Be Specific About Design
```
Weak: "Build a dashboard"
Strong: "Build a support ticket dashboard. Mobile-first, light theme, high
contrast. Color code: red for urgent, yellow for medium, green for low.
Show agent status badges. Maximum 2 columns on mobile."
```
### 2. Specify Your Tech Stack
```
"Build a real-time chat app using: Next.js 16 with App Router,
Socket.io for messaging, Vercel Postgres for storage,
NextAuth.js for authentication."
```
### 3. Define User Roles
```
"Create a team collaboration tool with admin, manager, and member
roles, task assignment, progress tracking, and file sharing."
```
### 4. Queue Multiple Prompts
You can queue up to 10 prompts while v0 is still generating:
1. "Create the base layout with navigation"
2. "Add authentication with NextAuth"
3. "Connect the database and add CRUD operations"
4. "Add a settings page with dark mode toggle"
### 5. Specify Error and Empty States
```
"Add comprehensive error handling for network failures, invalid
input, and empty states with helpful recovery suggestions."
```
### 6. Use Visual Selection for Precision
Click a specific element in the preview before typing to target exactly what you want to change. Eliminates ambiguity for multi-instance components.
### 7. Use Design Mode vs Prompts
- **Prompts**: Structural changes, adding features, wiring up logic
- **Design Mode** (click element → adjust): Colors, spacing, typography tweaks
### 8. v0's Default Output Stack
When no framework is specified, v0 generates:
- React with JSX + TypeScript
- Tailwind CSS
- shadcn/ui components
- Lucide React icons
- Complete, copy-paste-ready code (never partial stubs)
## Design Normalization for v0 Output
v0 is strongest when you specify both structure and aesthetic direction. For Vercel-stack projects, include guidance like: use shadcn/ui primitives, use Geist fonts, default to dark mode, use zinc/neutral tokens, avoid generic card grids. After importing v0 code, normalize it: replace ad-hoc controls with shadcn components, collapse repeated card grids into stronger patterns, align typography to Geist, remove mixed radii and decorative effects.
## Integration Patterns
### Pattern 1: Generate Components, Import Locally
Best for adding individual UI components to an existing app.
```bash
npx v0@latest init
npx v0@latest add <component-id>
```
Then import the component:
```tsx
import { DataTable } from '@/components/data-table'
export default function DashboardPage() {
return <DataTable data={rows} columns={columns} />
}
```
### Pattern 2: GitHub Round-Trip
Best for iterating on a full feature branch with non-engineers.
1. Import repo into v0 from GitHub
2. Non-engineer iterates via prompts
3. v0 auto-commits each change to a feature branch
4. Engineer reviews the PR, merges
### Pattern 3: SDK Automation
Best for CI/CD pipelines or programmatic component generation.
```ts
import { v0 } from 'v0-sdk'
// Generate a component from a design spec
const chat = await v0.chats.create({
message: `Create a pricing table component with these tiers:
- Free: 0/mo, 1 project, community support
- Pro: $20/mo, unlimited projects, priority support
- Enterprise: Custom, SLA, dedicated support`,
})
// Wait for generation, then download
const files = await v0.chats.downloadVersion({
chatId: chat.id,
versionId: chat.latestVersion.id,
})
```
### Pattern 4: v0 as AI Agent Tool
Best for autonomous agents that need to generate and deploy UI.
```ts
import { Agent } from 'ai'
import { v0Tools } from '@v0-sdk/ai-tools'
const agent = new Agent({
model: openai('gpt-5.2'),
tools: {
...v0Tools({ apiKey: process.env.V0_API_KEY }),
// ... other tools
},
system: 'You are a full-stack developer. Use v0 to generate UI components.',
})
const { text } = await agent.generateText({
prompt: 'Create a dashboard for our analytics data and deploy it',
})
```
## Built-in Integrations
v0 has native support for these services in its sandbox:
- **Databases**: Neon (PostgreSQL), Supabase, Upstash Redis, Vercel Blob
- **AI**: OpenAI, Anthropic, Groq, Grok, fal, Deep Infra (via Vercel AI Gateway)
- **Payments**: Stripe
- **External APIs**: Twilio, and others via the "Vars" panel
## Limitations
- Best for UI components and layouts (~20% of a full application)
- Backend, database, auth, and AI integration require separate implementation or explicit prompting
- Generated code may need manual fixes for complex business logic
- Enterprise-level scalability needs additional architecture review
- shadcn/ui is the primary component library; other libraries require explicit prompting
## Official Documentation
- [v0 App](https://v0.app)
- [v0 Documentation](https://v0.app/docs)
- [v0 API Overview](https://v0.app/docs/api/platform/overview)
- [v0 AI Tools](https://v0.app/docs/api/platform/packages/ai-tools)
- [v0 MCP Server](https://v0.app/docs/api/platform/adapters/mcp-server)
- [v0 GitHub Integration](https://v0.app/docs/github)
- [API Keys](https://v0.app/chat/settings/keys)
- [GitHub: v0 SDK](https://github.com/vercel/v0-sdk)
© Vercel Labs · Apache-2.0 · openai/plugins