ai-sdk

Generates text, streams responses, and orchestrates AI SDK tools for developers.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/cshyang/nochore --skill ai-sdk-cshyang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/cshyang/nochore/tree/main/capabilities/incubator/skills/ai-sdk
Command: npx skills add https://github.com/cshyang/nochore --skill ai-sdk-cshyang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The AI SDK guide helps developers understand, implement, and effectively use the AI SDK to build AI-powered features, agents, and chat experiences.

Core Features & Use Cases

  • Understand core APIs like generateText, streamText, ToolLoopAgent, embed, and tool calling.
  • Build AI-powered agents, chatbots, and RAG systems with React hooks such as useChat and useCompletion.
  • Get guidance on provider choices (OpenAI, Anthropic, Google) and best practices for streaming, structured output, and embeddings.

Quick Start

Describe how to create a ToolLoopAgent using the AI SDK and run an end-to-end example.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build AI agents with the AI SDK using tool calling?

Stream AI responses in React using the useChat hook. The AI SDK manages connection state, parsing model streams, and updating the UI continuously as text tokens arrive from the provider.

How do I stream AI chat responses in React applications?

Stream AI responses in React using the useChat hook. The AI SDK manages connection state, parsing model streams, and updating the UI continuously as text tokens arrive from the provider.

Can I use the AI SDK to generate structured output with different providers?

Yes, you can use the AI SDK to generate structured output across multiple providers like OpenAI, Anthropic, and Google. It standardizes provider APIs, normalizing requests and responses for consistent application behavior.

What is the best way to implement a RAG system using generateText and embed?

Implement a RAG system by using the embed API to vectorize documents and generateText to synthesize answers. The AI SDK handles embedding generation and text synthesis to connect retrieved context with model generation.

Do I need specific provider configurations to use AI Gateway with the AI SDK?

You must validate prerequisites to use the AI Gateway with the AI SDK. It requires configuring provider settings for platforms like OpenAI or Anthropic to route requests and manage model access correctly.