How are the examples structured?

Examples follow a {provider}-{feature}.ts naming convention and use a standardized run() wrapper for consistent environment loading and error handling.

What AI SDK functions does this skill support?

It supports the full range of Vercel AI SDK functions, including generateText, streamText, generateObject, streamObject, embed, rerank, and agentic workflows.

Can I use this for testing new LLM providers?

Yes, it is specifically designed to validate provider support and create test fixtures for new LLM integrations by demonstrating core SDK capabilities.

How do I run the generated examples?

Examples can be executed from the examples/ai-functions directory using pnpm tsx followed by the path to the specific example file.

Does it support streaming outputs?

Absolutely. It includes specific templates and utilities like printFullStream to handle and visually display streaming text, tool calls, and reasoning in the terminal.

Vercel AI SDK Function Examples

Name: Vercel AI SDK Function Examples
Author: vercel

byvercel

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22,058

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数据科学与机器学习

Generates and maintains standardized code examples for Vercel AI SDK functions and provider integrations.

This skill streamlines the development of AI-powered applications by providing templates and best practices for implementing Vercel AI SDK functions. It allows developers to quickly create, validate, and iterate on examples for text generation, structured output, streaming, and agentic workflows across various LLM providers. By enforcing consistent file naming conventions and utilizing shared utilities like error handling and stream printing, it ensures that example code is robust, readable, and ready for use as test fixtures or documentation within the Vercel AI ecosystem.

主要功能

01Integrated utility helpers for colored streaming output and terminal image rendering

02Automated provider-specific example generation following naming conventions

0322,058 GitHub stars

04Support for advanced AI SDK features like ToolLoopAgent and custom middleware

05Built-in patterns for creating reproducible test fixtures and debugging tools

06Standardized templates for generateText, streamText, and structured output

使用场景

01Prototyping complex agentic workflows using the ToolLoopAgent

02Creating minimal reproducible examples for debugging API behavior or SDK issues

03Validating new LLM provider integrations within the Vercel AI SDK ecosystem

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vercel/ai develop-ai-functions-example

For use in Claude.ai and ChatGPT

Download Skill