What does the Vercel AI SDK skill do?

It guides Claude in using the Vercel AI SDK to build AI features like text generation, streaming, and agents with the most current API patterns and best practices.

Why use this skill for agent development?

It enforces the modern ToolLoopAgent pattern and provides instructions for maintaining end-to-end type safety using InferAgentUIMessage.

How does it handle outdated AI SDK API information?

The skill instructs Claude to ignore its internal memory and instead search local node_modules/ai/docs/ or the official AI SDK documentation for the latest updates.

Does it support different AI providers?

Yes, it facilitates integration with OpenAI, Anthropic, Google, and others, prioritizing the Vercel AI Gateway for model management and newest model versioning.

Can it help with frontend AI features?

Absolutely. It provides specific patterns for React hooks like useChat and useCompletion, ensuring type safety between the backend agent logic and the client UI.

Vercel AI SDK Assistant

Name: Vercel AI SDK Assistant
Author: vercel

byvercel

•

21,406

Data Science & ML

Builds production-grade AI-powered applications, agents, and chatbots using the Vercel AI SDK for TypeScript.

About

This skill empowers Claude to architect and implement advanced AI features using the Vercel AI SDK. It provides up-to-date guidance on text generation, streaming, tool calling, and structured output while ensuring type safety with the latest API patterns like ToolLoopAgent. By bypassing outdated training data and prioritizing local source code documentation and real-time model ID fetching via the Vercel AI Gateway, it ensures Claude builds robust, modern AI systems across various providers including OpenAI, Anthropic, and Google Gemini.

Key Features

Verifies current API patterns against local node_modules documentation to prevent deprecated usage
Implements advanced text generation and streaming with generateText and streamText
21,406 GitHub stars
Architects autonomous agents using the ToolLoopAgent pattern and tool calling
Ensures end-to-end type safety for agents and UI components like useChat
Integrates diverse AI providers via a centralized Vercel AI Gateway

Use Cases

Developing a RAG system using vector embeddings and structured data output
Building a multi-modal chatbot with real-time streaming and tool integration
Creating complex autonomous agents for task automation and data processing

About

Key Features

Verifies current API patterns against local node_modules documentation to prevent deprecated usage
Implements advanced text generation and streaming with generateText and streamText
21,406 GitHub stars
Architects autonomous agents using the ToolLoopAgent pattern and tool calling
Ensures end-to-end type safety for agents and UI components like useChat
Integrates diverse AI providers via a centralized Vercel AI Gateway

Use Cases

Developing a RAG system using vector embeddings and structured data output
Building a multi-modal chatbot with real-time streaming and tool integration
Creating complex autonomous agents for task automation and data processing