| name | vercel-ai-sdk |
| description | Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider. |
| metadata | {"author":"Vercel","source":"https://github.com/vercel/vercel-plugin","upstreamPath":"skills/ai-sdk/SKILL.md","priority":8,"docs":["https://sdk.vercel.ai/docs","https://sdk.vercel.ai/docs/reference"]} |
Vercel AI SDK
Use this skill when implementing AI-powered features with the Vercel AI SDK, including chat, completion, streaming, tool calling, structured output, embeddings, reranking, image generation, MCP integration, and agent loops.
Activation signals
- Imports from
ai or @ai-sdk/*
- API routes such as
app/api/chat/**, pages/api/chat/**, app/api/completion/**, or AI utility modules under lib/ai/**
- Prompts mentioning AI SDK, Vercel AI,
generateText, streamText, useChat, useCompletion, tool calling, embeddings, or structured output
Guidance
- Prefer current AI SDK docs over memory.
- Use the AI SDK provider model abstraction instead of direct vendor SDKs unless vendor-specific features are required.
- For production apps needing observability, failover, cost tracking, or budget controls, pair with the
vercel-ai-gateway skill.
- Validate streaming and tool-call behavior with runtime tests, not only type checks.
Official documentation
Source
Condensed from vercel/vercel-plugin/skills/ai-sdk/SKILL.md and its generated skill manifest.
