vercel-ai-sdk

Generate Vercel AI SDK configurations for streaming chat and tool calling.

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/sitharaj88/claude-skills --skill vercel-ai-sdk-sitharaj88
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vercel-ai-sdk
Source: https://github.com/sitharaj88/claude-skills/tree/main/skills/vercel-ai-sdk
Command: npx skills add https://github.com/sitharaj88/claude-skills --skill vercel-ai-sdk-sitharaj88

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the creation of AI-powered applications by providing pre-built configurations and guidance for using the Vercel AI SDK, enabling developers to integrate advanced AI features like streaming, tool calling, and RAG into their projects.

Core Features & Use Cases

  • AI SDK Integration: Generate code for integrating various AI providers (OpenAI, Anthropic, Google, etc.) with frameworks like Next.js, SvelteKit, and Vue.
  • Feature Implementation: Supports streaming responses, tool/function calling, structured JSON output, and Retrieval-Augmented Generation (RAG).
  • Use Case: Quickly scaffold a chat interface for a Next.js application that uses Anthropic's Claude model, with streaming responses and the ability to call external tools for real-time data retrieval.

Quick Start

Use the vercel-ai-sdk skill to generate a Next.js App Router chat endpoint using the OpenAI provider with streaming enabled.

Frequently Asked Questions about vercel-ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add streaming chat responses to a Next.js application?

To add streaming chat responses in Next.js, you can use the Vercel AI SDK to generate a chat endpoint that streams AI provider outputs directly to the frontend. It provides pre-built configurations and code examples for seamless integration.

Can I use tool calling and structured JSON output with different AI providers?

Yes, tool calling and structured JSON output are supported across multiple AI providers like OpenAI and Anthropic. The SDK generates configurations that enable your application to call external tools for real-time data retrieval and format responses predictably.

What is the best way to build a RAG application using Next.js?

The best way to build a RAG application is using the Vercel AI SDK, which provides specific code examples and configurations for Retrieval-Augmented Generation. It simplifies integrating external knowledge sources with your chosen AI provider in frameworks like Next.js.

Does the Vercel AI SDK work with frontend frameworks other than Next.js?

Yes, the Vercel AI SDK works with multiple frontend frameworks including SvelteKit and Vue. It generates tailored integration code and installation instructions for building AI-powered applications across these supported environments.

How do I set up environment variables for AI providers in my streaming chat app?

Setting up environment variables for AI providers is handled by the SDK's generated configuration instructions. It guides you through the required environment variable setup needed to authenticate and connect your application to providers like OpenAI or Anthropic.