ai-sdk

Provides guidance on using the Vercel AI SDK's functions, providers, and React hooks.

Updated Nov 23, 2025
One-click install
npx skills add https://github.com/remiconnesson/v0-video2md --skill ai-sdk-remiconnesson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/remiconnesson/v0-video2md/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/remiconnesson/v0-video2md --skill ai-sdk-remiconnesson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers build AI-powered features by providing guidance on using the Vercel AI SDK, including its functions, providers, and best practices.

Core Features & Use Cases

  • AI SDK Functions: Learn about generateText, streamText, ToolLoopAgent, embed, and tools.
  • AI Feature Development: Get help building AI agents, chatbots, RAG systems, and text generation features.
  • Provider Integration: Understand how to work with AI providers like OpenAI, Anthropic, and Google, as well as concepts like streaming, tool calling, structured output, and embeddings.
  • React Hooks: Guidance on using useChat and useCompletion.

Quick Start

Use the ai-sdk skill to find documentation on how to use the useChat hook.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I integrate AI chatbot features into a React application?

You can integrate AI chatbot features into a React application using the Vercel AI SDK's `useChat` and `useCompletion` hooks to manage chat state and stream responses directly in your UI components.

How does streaming text generation work with different AI providers?

Streaming text generation uses the `streamText` function to send incremental responses from providers like OpenAI, Anthropic, and Google to the client, ensuring low-latency user experiences in AI applications.

Can I build autonomous AI agents that use tool calling?

Yes, you can build autonomous AI agents using the `ToolLoopAgent` function alongside tool calling capabilities, allowing the model to iteratively execute functions and structure outputs based on user requests.

What is the best way to create embeddings for a RAG system?

The best way to create embeddings for a RAG system is using the SDK's `embed` function, which transforms text data into vector representations for retrieval-augmented generation workflows with supported AI providers.

Does the Vercel AI SDK support structured output generation?

Yes, the Vercel AI SDK supports structured output generation, enabling developers to define schemas that force models from providers like OpenAI and Anthropic to return data in predictable formats.

Why use local documentation when implementing AI SDK functions?

Using local documentation ensures you adhere to current API standards and functions like `generateText` and `embed`, preventing implementation errors from outdated information across different AI provider integrations.