ai-sdk

Guide AI SDK integration for agents, chatbots, and text generation.

Updated Feb 28, 2026
One-click install
npx skills add https://github.com/raphaelmans/agent-skills --skill ai-sdk-raphaelmans
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/raphaelmans/agent-skills/tree/main/ai-sdk
Command: npx skills add https://github.com/raphaelmans/agent-skills --skill ai-sdk-raphaelmans

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provide developers with a concise, up-to-date guide to the AI SDK, its functions, providers, and integration patterns to accelerate feature development.

Core Features & Use Cases

  • Comprehensive overview of AI SDK capabilities (generateText, streamText, ToolLoopAgent, tools) and provider options.
  • Guidance for building AI agents, chatbots, and text-generation features, including streaming and tool-calling workflows.
  • References for troubleshooting and provider-specific information to support robust integrations.

Quick Start

Ask the AI to pull the latest AI SDK usage examples and integration patterns.

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 SDK for text generation and streaming in my application?

To integrate AI SDK for text generation, use the generateText and streamText functions to build pipelines. This provides API usage guidance and framework wiring to implement streaming responses in your application.

What is the best way to build AI agents with tool calling workflows?

Building AI agents requires utilizing the ToolLoopAgent and tools functions within the AI SDK. This approach provides structured output and tool calling workflows to implement autonomous agent behaviors.

Does the AI SDK support both OpenAI and Anthropic providers?

Yes, the AI SDK supports evaluating multiple providers including OpenAI and Anthropic. It documents provider-specific options and API usage to ensure robust integrations across different model platforms.

How do I structure output when generating text with AI providers?

Structured output is achieved by configuring the AI SDK's generateText function with specific parameters. This enforces schema compliance on text generation pipelines, returning validated data formats from your provider.

Why is my AI SDK chatbot integration not returning expected results?

Chatbot integration issues often stem from incorrect provider options or API usage. The AI SDK references troubleshooting guides and provider-specific documentation to resolve configuration and framework wiring errors.