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This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
Passed 24 of 25 test cases with the skill, and 12 of 25 without it.
and 10 more in the full report
12 fixed12 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to validate an array of UI messages before persisting them to a database in a Vercel AI SDK backend route. Which validation helper function does the SDK provide for this?
| Checked | Without skill | With skill |
|---|---|---|
| The code uses validateUIMessages for message validation | Missed | Passed |
The instructions your model reads when the skill loads.
The Vercel AI SDK is a powerful toolkit for building AI-powered applications in TypeScript and JavaScript. It provides unified APIs for text generation, streaming, chatbot interfaces, tool calling, structured data generation, and multi-provider support. The SDK abstracts away provider differences, enabling seamless integration with OpenAI, Anthropic, Mistral, and other AI models through a consistent interface.
npm install ai
Text Generation
import { generateText } from 'ai';
const { text } = await generateText({
model: yourModel,
prompt: 'Write a story about a robot learning to love'
});
Streaming
import { streamText } from 'ai';
const result = await streamText({
model: yourModel,
prompt: 'Explain quantum computing'
});
for await (const textPart of result.textStream) {
console.log(textPart);
}
Building Chatbots
import { useChat } from 'ai/react';
test cases passed, vs 12 / 25 without
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