ai-elements

Provide reusable UI components for building AI-native chat interfaces and workflows.

58|18|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/laguagu/claude-code-nextjs-skills --skill ai-elements-laguagu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-elements
Source: https://github.com/laguagu/claude-code-nextjs-skills/tree/main/skills/ai-elements
Command: npx skills add https://github.com/laguagu/claude-code-nextjs-skills --skill ai-elements-laguagu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ai-elements provides a ready-made UI component library to accelerate building AI-native interfaces, such as chatbots, AI workflows, and dashboards, reducing boilerplate and UI inconsistencies.

Core Features & Use Cases

  • Rich chatbot components (Conversation, Message, PromptInput, Sources, Tool) for interactive AI chats.
  • Workflow and canvas components for visualizing AI-powered processes, nodes, and panels.
  • AI SDK integration patterns and references to implement useChat-based conversations, streaming responses, and tool invocations.
  • Real-world use case: rapidly assemble a chat assistant UI with reasoning and sources support.

Quick Start

Install and start using AI Elements in your project: bun add ai-elements, import components, and consult the references for integration guidance.

Frequently Asked Questions about ai-elements

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

FAQPage Schema
How do I build a chatbot UI with React and the AI SDK?

You can build a chatbot UI using pre-built conversation, message, and prompt input components designed for React. These components integrate directly with the AI SDK to implement useChat-based conversations and streaming responses with minimal boilerplate.

What are AI-native UI components and when do I need them?

AI-native UI components are reusable interface elements like chat windows, workflow canvases, and reasoning panels specifically designed for AI applications. You need them to rapidly assemble interactive AI chats and visual workflows while reducing UI inconsistencies and boilerplate code.

Can I use these workflow components with Bun?

Yes, you can install and use these workflow and chat components with Bun. You simply run the package add command in your Bun project, import the required canvas and node components, and consult the provided references for integration guidance.

How do I implement streaming responses and tool invocations in a React chat interface?

Implement streaming responses and tool invocations by leveraging the provided AI SDK integration patterns and references. The component library includes specific tool and sources components to handle reasoning and tool invocations within your useChat-based React interface.

What is the best way to visualize AI workflows and nodes in a web app?

The best way to visualize AI workflows is using dedicated workflow and canvas components that render interactive nodes and panels. This approach allows you to assemble visual representations of AI-powered processes rapidly without building custom canvas logic from scratch.

Do I need to build reasoning and sources display UI from scratch for my AI assistant?

No, you do not need to build reasoning and sources UI from scratch. The library provides specific components to display AI reasoning steps and information sources directly within your chat assistant interface, enabling rapid assembly of functional AI chats.