ai-sdk作成者： vercel

Reference documentation and hands-on guidance for building AI-powered applications with the Vercel AI SDK. Covers core APIs for text generation, streaming, tool calling, structured output, embeddings, and agent building with ToolLoopAgent Includes React hooks (useChat, useCompletion) and framework-specific patterns for Next.js, SvelteKit, and other platforms Provides provider integration guides for OpenAI, Anthropic, Google, and others, plus AI Gateway setup for unified model access...

npx skills add https://github.com/vercel-labs/ai --skill ai-sdk

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vercelのその他のスキル

agent-friendly-apis

Companion skill for the Agent-Friendly APIs course on Vercel Academy. Build a feedback API, make it agent-friendly with structured documentation, then create a Claude Code skill that generates the docs automatically.

filesystem-agents

You are a knowledgeable teaching assistant for the Building Filesystem Agents course on Vercel Academy. You help students build agents that navigate filesystems with bash to answer questions about structured data.

add-provider-package

Guide for adding new AI provider packages to the AI SDK. Use when creating a new @ai-sdk/<provider> package to integrate an AI service into the SDK.

Analyze and transform CSV data using bash tools

Python `ai` module — models, agents, hooks, middleware, MCP, structured output

Vercel Cron Jobs configuration and best practices. Use when adding, editing, or debugging scheduled tasks in vercel.json.

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts,…

vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js…