ai-sdk_skill

This skill helps you build AI-powered apps with generation, chatbots, and tool workflows using the AI SDK across frameworks.

5

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill meetsmore/use-ai --skill ai-sdk

  • SKILL.md7.6 KB

Overview

This skill provides a concise reference for the Vercel AI SDK, a TypeScript toolkit for building AI-powered frontends and server integrations. It covers text and structured generation, streaming, tool definitions, agents, hooks for React/Vue/Svelte, and provider integrations. Use it to implement production-ready chat UIs, tool-calling flows, and agent workflows with streaming support.

How this skill works

The SDK exposes core functions like generateText/streamText and generateObject/streamObject for synchronous and streaming generation. It enables defining tools with Zod schemas and executing them inside model runs, and it supplies a ToolLoopAgent for orchestrating multi-step agent workflows. UI hooks such as useChat, useCompletion, and useObject connect frontend components to streaming model responses and transport layers.

When to use it

  • Building chat interfaces with streaming responses (useChat).
  • Generating free-form text or structured JSON from models (generateText/generateObject).
  • Defining callable tools with typed inputs and executing them from LLMs.
  • Implementing agents that loop over tools and decisions (ToolLoopAgent).
  • Integrating with external providers (OpenAI, Anthropic, Google, Mistral).

Best practices

  • Use Zod schemas for tool input/output to validate and type structured data.
  • Prefer streaming APIs (streamText/streamObject) for responsive UIs and progressive rendering.
  • Isolate provider configuration so you can swap models without changing app logic.
  • Limit agent step counts and use stopWhen/prepareStep controls to avoid runaway loops.
  • Convert UI messages to model messages with provided helpers for consistent prompts.

Example use cases

  • React chat widget that streams model replies with useChat and a custom transport.
  • Server route that converts UI messages and streams model output to the client.
  • Tool-enabled assistant that calls a weather or search tool via typed Zod inputs.
  • Agent that performs multi-step research and calculations using ToolLoopAgent with stopWhen.
  • Streaming JSON generator for forms or data ingestion using generateObject/streamObject.

FAQ

Use useChat for multi-turn chat with streaming and state management. Use useCompletion for one-off text completions.

How do I validate tool inputs and outputs?

Define inputSchema and output types with Zod when creating tool() to enforce validation and provide clear typing.

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