ai-sdk

Generate Vercel AI SDK code matched to installed dependencies.

18|Updated Jul 23, 2025
One-click install
npx skills add https://github.com/faw01/create-mf2-app --skill ai-sdk-faw01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/faw01/create-mf2-app/tree/main/apps/cli/template/.agents/skills/ai-sdk
Command: npx skills add https://github.com/faw01/create-mf2-app --skill ai-sdk-faw01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the challenge of keeping up with the rapidly evolving Vercel AI SDK, preventing the use of deprecated APIs or outdated patterns by enforcing the use of project-specific documentation.

Core Features & Use Cases

  • Version-Matched Guidance: Ensures all code generation aligns with the specific version of the AI SDK installed in the project.
  • Agent & Tooling Support: Provides structured assistance for building AI agents, RAG systems, and tool-calling workflows.
  • Debugging & DevTools: Facilitates the inspection of AI SDK calls, token usage, and multi-step runs using the SDK's native DevTools.

Quick Start

Ask the ai-sdk skill to help you implement a new chat interface using the latest useChat hook and the project's current AI SDK version.

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents with tool-calling using the Vercel AI SDK?

To build AI agents with tool-calling using the Vercel AI SDK, you can use structured assistance for agentic workflows that validates generated code against your project's bundled documentation. This ensures all implementations use active patterns and avoid deprecated APIs.

What is the best way to prevent deprecated API usage in my Vercel AI SDK project?

The best way to prevent deprecated API usage in your Vercel AI SDK project is to enforce version-matched guidance that validates all code generation against the specific installed dependency version. This stops obsolete model IDs and outdated patterns from entering your codebase.

How do I implement a chatbot using the useChat hook in TypeScript?

To implement a chatbot using the useChat hook in TypeScript, request guidance for generating a new chat interface aligned with the latest hook behavior. The provided code is checked against project-specific documentation to ensure API compatibility.

Can I inspect token usage and multi-step runs when debugging AI SDK calls?

Yes, you can inspect token usage and multi-step runs when debugging AI SDK calls by utilizing the SDK's native DevTools. This facilitates detailed inspection of your AI-powered features and multi-step agent workflows during development.

Does this guidance support building RAG systems with the Vercel AI SDK?

Yes, this guidance supports building RAG systems with the Vercel AI SDK by providing structured assistance for retrieval-augmented generation workflows. It ensures all generated code matches your project's installed dependencies and avoids obsolete patterns.

Why does my Vercel AI SDK code use outdated model IDs and deprecated patterns?

Your Vercel AI SDK code uses outdated model IDs and deprecated patterns because the SDK evolves rapidly. Validating all generated code against bundled project-specific documentation prevents these obsolete APIs from being implemented in your TypeScript application.