Does it support tool calling and function execution?

Yes, it includes patterns for both server-side execution and client-side tool handling using onToolCall and addToolOutput with the SDK's state machine.

Is it compatible with different AI providers?

Yes, the skill focuses on the Vercel AI SDK abstraction layer, which supports providers like OpenAI, Anthropic, and others through the streamText utility.

Can this skill help with file attachments in chat?

Absolutely. It understands the UIMessage part-based architecture required to handle file uploads, image processing, and multi-modal interactions.

How does this skill help with Vercel AI SDK?

It provides Claude with specific context on hooks like useChat, message part structures, and server-side streaming patterns to accelerate the development of AI chat interfaces.

Vercel AI SDK Integration

Name: Vercel AI SDK Integration
Author: existential-birds

byexistential-birds

•

数据科学与机器学习

Streamlines the development of AI-powered chat interfaces with streaming, tool calling, and multi-step reasoning patterns.

关于

This skill equips Claude with specialized knowledge of the Vercel AI SDK ecosystem, enabling it to help you build production-ready chat applications. It provides deep expertise in React hooks like useChat, server-side streaming utilities like streamText, and the SDK's unique parts-based message architecture. Whether you are implementing complex client-side tool executions, managing file attachments, or optimizing UI performance with experimental throttling, this skill ensures Claude provides type-safe implementation patterns and follows best practices for the latest Vercel AI SDK standards.

主要功能

Expert guidance on useChat hook implementation and state management
Support for parts-based message architecture including text, tools, and reasoning
Streaming protocol optimization using Server-Sent Events (SSE)
14 GitHub stars
Patterns for both client-side and server-side tool execution workflows
Type-safe message handling with custom metadata and tool inference

使用场景

Migrating legacy chat implementations to the modern Vercel AI SDK parts-based system
Building a responsive, streaming chat UI with React and Tailwind CSS
Implementing complex multi-turn workflows that require user approval for tool calls

关于

主要功能

Expert guidance on useChat hook implementation and state management
Support for parts-based message architecture including text, tools, and reasoning
Streaming protocol optimization using Server-Sent Events (SSE)
14 GitHub stars
Patterns for both client-side and server-side tool execution workflows
Type-safe message handling with custom metadata and tool inference

使用场景

Migrating legacy chat implementations to the modern Vercel AI SDK parts-based system
Building a responsive, streaming chat UI with React and Tailwind CSS
Implementing complex multi-turn workflows that require user approval for tool calls