ai-sdk

Guide developers on using the AI SDK for text generation, streaming, agents, and embeddings.

16|1|Updated Apr 7, 2025
One-click install
npx skills add https://github.com/henryoman/TrenchClaw --skill ai-sdk-henryoman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/henryoman/TrenchClaw/tree/main/.agents/skills/ai-sdk
Command: npx skills add https://github.com/henryoman/TrenchClaw --skill ai-sdk-henryoman

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 AI SDK, including its functions, agents, and providers.

Core Features & Use Cases

  • AI SDK Guidance: Get answers about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, and tools.
  • AI Feature Development: Learn how to build AI agents, chatbots, RAG systems, and text generation features.
  • Provider & Integration Help: Understand AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, and embeddings. Use React hooks like useChat.
  • Use Case: A developer wants to add a chatbot to their SvelteKit app that can answer questions about their product documentation. They can use this Skill to learn how to integrate the AI SDK, set up a ToolLoopAgent to access their docs, and use useChat for the frontend.

Quick Start

Use the ai-sdk skill to learn how to use the useChat hook with a ToolLoopAgent.

Frequently Asked Questions about ai-sdk

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

FAQPage Schema
How do I build a chatbot with AI SDK using React hooks?

To build a chatbot with AI SDK, you can use the `useChat` React hook to manage frontend state and connect it to a backend agent for real-time text generation and streaming responses.

What is the best way to implement tool calling in an AI agent?

Implementing tool calling in an AI agent is best achieved using the AI SDK's `ToolLoopAgent`, which handles structured output and interactions with various AI providers like OpenAI and Anthropic.

Does AI SDK support streaming text generation for RAG systems?

Yes, AI SDK supports streaming text generation for RAG systems through the `streamText` function, allowing developers to pass retrieved embeddings and stream responses back to the client.

How do I generate embeddings for my product documentation?

You can generate embeddings for product documentation using the AI SDK's `embed` function, which prepares text data for Retrieval-Augmented Generation (RAG) systems and semantic search.

Can I use AI SDK functions with SvelteKit for AI feature development?

Yes, you can use AI SDK functions with SvelteKit for AI feature development, integrating providers like Google or Anthropic to create interactive chatbot and text generation endpoints.

Why use structured output when building AI agents?

Using structured output when building AI agents ensures predictable, machine-readable responses, allowing the AI SDK to reliably parse tool calling results and execute subsequent logic loops.