ai-elements

Build reusable React/TypeScript components for AI chat interfaces.

Updated Nov 16, 2025
One-click install
npx skills add https://github.com/daniel-dihardja/menuyukti --skill ai-elements-daniel-dihardja
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-elements
Source: https://github.com/daniel-dihardja/menuyukti/tree/main/.agents/skills/ai-elements
Command: npx skills add https://github.com/daniel-dihardja/menuyukti --skill ai-elements-daniel-dihardja

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zod, lucide-react, nanoid, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Builds AI chat UIs by providing a composable library of UI primitives such as Conversation, Message, Agent, Artifact, and Attachments.

Core Features & Use Cases

  • Quick scaffolding for AI chat interfaces across React apps using ready-made components like Conversation, Message, and Agent.
  • Supports artifacts like Artwork, Attachments, and code blocks to display outputs and assets in chats.
  • Use cases include prototyping chat UIs, integrating with AI SDKs, and building agent-driven chat experiences.

Quick Start

Install the ai-elements package and import the Agent, Conversation, and Message components to compose a chat UI.

Frequently Asked Questions about ai-elements

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

FAQPage Schema
How do I build an AI chat interface in React without starting from scratch?

You can build an AI chat interface using composable UI primitives like Conversation, Message, and Agent. This component library provides ready-to-use React and TypeScript elements for rapid prototyping and production-ready chat experiences.

What UI components do I need for an AI-powered chat experience?

AI-powered chat experiences require modular UI components for conversations, messages, agents, artifacts, and attachments. This kit exposes these composable primitives to handle text outputs, display artwork, render code blocks, and manage file attachments.

Can I use this AI chat component library with my existing TypeScript and React setup?

You can use this AI chat component library with TypeScript and React setups. It depends on zod for schema validation, lucide-react for icons, and nanoid for unique IDs, ensuring compatibility with common frontend tooling and various AI SDKs.

What is the best way to display code blocks and attachments in an AI chat UI?

To display code blocks and attachments in an AI chat UI, use dedicated artifact components. The library includes pre-built elements for artifacts like Artwork and Attachments to seamlessly render outputs and assets within conversations.

How do I integrate an AI SDK into a React chat component?

Integrate an AI SDK into a React chat component by connecting your backend responses to the composable Message and Agent primitives. The library is designed for compatibility with various AI SDKs and toolchains, enabling agent-driven chat experiences.

Are there limitations when using a pre-built AI component library for chat interfaces?

Pre-built AI component libraries for chat interfaces are optimized for rapid prototyping and modular composition. While they offer extensibility, developers requiring highly custom, non-standard chat UI behaviors may need to override or extend the base components.