ai-elements

Create shadcn/ui-based AI chat components for Vercel AI SDK flows.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Ascenseurs-Menetrey-SA/amsa-claude-skills --skill ai-elements-ascenseurs-menetrey-sa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-elements
Source: https://github.com/Ascenseurs-Menetrey-SA/amsa-claude-skills/tree/main/ai-elements
Command: npx skills add https://github.com/Ascenseurs-Menetrey-SA/amsa-claude-skills --skill ai-elements-ascenseurs-menetrey-sa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill helps you create or extend AI-native chat interfaces faster by providing composable, production-ready UI components that integrate with shadcn/ui patterns and Vercel AI SDK conventions.

Core Features & Use Cases

  • Composable AI chat UI primitives: Conversations, messages, and structured UI building blocks designed to work together.
  • shadcn/ui + Tailwind integration: Components follow the existing design system conventions so they look consistent in your app.
  • AI SDK-friendly patterns: Components are structured for easy wiring with AI SDK chat flows (roles, message parts, tool-related UI).
  • Use case: Add a new message rendering component (e.g., for a custom content part type) and plug it into your AI chat UI without rewriting styling and composition logic.
  • Where to use: Use it when adding a new component inside packages/elements/src or when you want a component added to the ai-elements library.

Quick Start

Ask the AI to: create a new shadcn/ui-compatible component for my AI chat UI and wire it following the existing ai-elements composable patterns, including any needed documentation in references/.

Frequently Asked Questions about ai-elements

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

FAQPage Schema
How do I build AI chat interfaces with Next.js and Tailwind?

Build AI chat interfaces with Next.js and Tailwind by using composable shadcn/ui components designed for Vercel AI SDK chat flows. These UI primitives handle conversations, messages, and tool-related rendering while maintaining consistent styling across your application.

Can I use shadcn ui components with the Vercel AI SDK?

Yes, shadcn/ui components work with the Vercel AI SDK through composable patterns structured for chat flows. Components map directly to AI SDK roles, message parts, and tool-related UI, allowing you to wire chat functionality without rewriting styling or composition logic.

How do I add a custom message rendering component to an AI chat UI?

Add a custom message rendering component by creating a shadcn/ui-compatible component and plugging it into existing composable patterns. Update accompanying references so the new content part type remains discoverable and reusable within the ai-elements library.

What's the best way to structure AI chat UI components for reuse?

Structure AI chat UI components for reuse by following established composable exports and consistent Tailwind styling conventions. Organize new components within the elements source directory and include documentation in references to ensure they are easily discoverable across projects.

Does this approach require rewriting styling when extending chat UI primitives?

No, extending chat UI primitives does not require rewriting styling because components follow existing shadcn/ui and Tailwind design system conventions. You can add new structured UI building blocks for conversations and messages that look consistent automatically.