Chat UI Components for Openclaw

A modular suite of React and Next.js building blocks for creating polished AI chat interfaces and messaging systems.

okaris
v0.1.5
Feb 18, 2026
0
2.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install chat-ui

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install chat-ui using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Chat UI Components?

Chat UI provides a comprehensive set of React components specifically designed for building modern conversation interfaces. Built on top of Tailwind CSS and shadcn/ui design tokens, these components offer a plug-and-play solution for developers looking to integrate chat capabilities into their applications. This toolkit simplifies the process of creating responsive, accessible, and visually appealing messaging layouts, making it an essential resource within the Openclaw Skills ecosystem.

The library includes essential elements like chat containers, message bubbles for different roles, interactive inputs, and typing indicators. Whether you are building a simple customer support bot or a complex multi-agent orchestration interface, these building blocks ensure consistent UI/UX patterns without the overhead of building from scratch.

Chat UI Components Use Cases

  • Building custom chat interfaces for AI agents and LLM-powered applications.
  • Developing real-time messaging platforms or customer support dashboards.
  • Creating interactive conversation logs for debugging or monitoring AI interactions.
  • Rapidly prototyping AI assistant UIs using Openclaw Skills and shadcn/ui.

How Chat UI Components Works

  1. Install the components using the shadcn CLI to pull the registry files into your local project.
  2. Import the necessary building blocks like ChatContainer and ChatMessage into your React or Next.js layout.
  3. Define your message state and handle submission logic through the ChatInput component.
  4. Render message variants based on roles (user, assistant, or system) to maintain visual hierarchy.
  5. Integrate typing indicators and loading states to manage real-time streaming feedback for users.

Chat UI Components Setup

To get started, install the chat components via the shadcn registry:

npx shadcn@latest add https://ui.inference.sh/r/chat.json

Ensure your project is configured with Tailwind CSS and shadcn/ui. To enhance the functionality of your interface, you can also explore related Openclaw Skills for markdown rendering or agent-specific UI components.

Chat UI Components Data Schema & Taxonomy

The components utilize a flexible property-based schema to handle message data and rendering states.

Component Key Props Description
ChatMessage role, content, className Defines the sender (user/assistant/system) and message text.
ChatInput onSubmit, placeholder, disabled Manages message submission and input state.
ChatContainer children Wraps all chat elements in a responsive container.
TypingIndicator N/A Displays a visual cue when an AI response is being generated.

Chat UI Components Advanced Features

  • Seamless integration with shadcn/ui design tokens for consistent theming across your application.
  • Support for multiple message variants including user, assistant, and system roles with distinct alignment logic.
  • Extensible styling via Tailwind CSS classes for custom branding and layouts.
  • Built for compatibility with real-time streaming architectures using Openclaw Skills for AI-driven responses.
  • Optimized for Next.js with support for both client and server components where applicable.

SKILL.md


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