Chat Ui

What This Skill Does

The Chat UI skill provides a set of highly modular, production-ready React building blocks designed to accelerate the development of AI-driven messaging interfaces. Developed by okaris and hosted via ui.inference.sh, this library abstracts the complexities of creating responsive chat components like containers, message bubbles, input fields, and typing indicators. Built on top of the shadcn/ui ecosystem, it uses Tailwind CSS for styling, ensuring that your chat interface remains consistent with your existing design system while remaining fully customizable. Whether you are building a simple chatbot, a complex multi-agent dashboard, or a real-time messaging application, this skill offers the necessary primitives to get started immediately without reinventing the wheel.

Installation

To integrate this into your existing codebase, use the following ClawHub command:

clawhub install openclaw/skills/skills/okaris/chat-ui

Alternatively, if you are working within a Next.js or React project that supports shadcn components, you can directly fetch the blocks using:

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

Use Cases

This skill is perfect for developers building AI-powered SaaS applications, internal agentic tools, or customer support interfaces. Key scenarios include: creating personalized AI assistants that require a sleek, modern chat window; implementing real-time support widgets for websites; or building conversational data visualization tools where the AI needs to present information alongside interactive chat components.

Example Prompts

1. "OpenClaw, please install the chat-ui components into my current directory so I can begin styling my new AI support dashboard."
2. "Show me how to implement a streaming message state within the ChatContainer component using the Chat UI library."
3. "Generate a full chat interface template using the ChatInput and Message components that includes a custom typing indicator when the assistant is processing a response."

Tips & Limitations

To get the most out of this skill, ensure your project is already configured with Tailwind CSS and the standard shadcn/ui setup. The components are "dumb" by design, meaning they rely on you to handle state management (like tracking the messages array) and API integrations. While this gives you maximum control, it also requires you to manually manage the streaming logic for assistant responses. For production apps, always implement error boundaries around your message list to handle network interruptions gracefully. If you need more complex behavior like markdown rendering, consider pairing this with the recommended @markdown-ui skill.