vercel-ai-elements

Document Vercel AI Elements UI components for building AI chat interfaces.

25|4|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/Sstobo/convex-skills --skill vercel-ai-elements
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vercel-ai-elements
Source: https://github.com/Sstobo/convex-skills/tree/main/vercel-ai-elements
Command: npx skills add https://github.com/Sstobo/convex-skills --skill vercel-ai-elements

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides centralized documentation and integration guidance for Vercel AI Elements, enabling developers to quickly reference components, usage patterns, and API details when building AI chat interfaces.

Core Features & Use Cases

  • Comprehensive documentation for all 23 Vercel AI Elements components organized by category (Message, Conversation, Input/Interaction, Content Display, AI Processing, and Advanced Features).
  • Quick references and installation notes, with practical integration examples using the AI SDK.
  • Use cases include building chat UIs, composing multi-component interfaces, and integrating web previews, tool execution, and citations into production apps.

Quick Start

Install or load the Vercel AI Elements docs alongside your project, then consult the references directory to explore each component's API and usage examples. For immediate guidance, search the references folder for a component name (e.g., message or web-preview) and review its usage patterns and props.

Frequently Asked Questions about vercel-ai-elements

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

FAQPage Schema
How do I integrate Vercel AI Elements UI components into a chat interface?

To integrate Vercel AI Elements UI components into a chat interface, follow the installation steps and usage examples provided in the references directory. It covers 23 components across 6 categories, detailing component props and practical integration patterns with the AI SDK.

What is the best way to document Vercel AI Elements for a component library?

Documenting Vercel AI Elements for a component library involves centralizing API details and usage patterns across 23 components. This Skill provides organized documentation across 6 categories, including installation notes and examples for composing multi-component interfaces.

Can I use Vercel AI Elements for integrating web previews and citations in production apps?

Yes, you can use Vercel AI Elements for integrating web previews, tool execution, and citations into production apps. The documentation covers Advanced Features components, providing practical integration examples and API details for these specific use cases.

How do I find usage patterns and props for a specific Vercel AI Elements component?

To find usage patterns and props for a specific component, search the references folder by component name, such as message or web-preview. The directory provides organized API details and practical examples for each of the 23 available UI components.

What Vercel AI Elements components are available for building AI chat interfaces?

Vercel AI Elements provides 23 components organized by 6 categories: Message, Conversation, Input/Interaction, Content Display, AI Processing, and Advanced Features. These categories cover the full spectrum of building blocks needed for comprehensive AI chat interfaces.

Does the Vercel AI Elements documentation include examples for the AI SDK?

Yes, the Vercel AI Elements documentation includes practical integration examples using the AI SDK. It provides quick references and installation notes to help developers seamlessly integrate the 23 UI components with the AI SDK in their projects.