chat-ui_skill

Overview

This skill provides ready-made chat UI building blocks for React and Next.js based on ui.inference.sh. It includes a container, message list, input, typing indicators, and avatars to assemble messaging interfaces quickly. The components are Tailwind-ready and designed for streaming, real-time, and AI assistant use cases.

How this skill works

Install the chat components and import the pieces you need: ChatContainer, ChatMessage, ChatInput, TypingIndicator, and avatars. Use ChatContainer as the layout, render ChatMessage items for user/assistant/system roles, and wire ChatInput to your send handler. The components support streaming responses and simple className overrides for styling with Tailwind/shadcn tokens.

When to use it

• Building a custom chat or messaging UI in a React or Next.js app
• Integrating an AI assistant or conversational agent front end
• Prototyping conversational flows with streaming responses
• Adding consistent message layout and role-based styling
• Creating a chat widget that follows shadcn/ui and Tailwind conventions

Best practices

• Keep messages as a simple array of {role, content} and map them to ChatMessage for predictable rendering
• Show TypingIndicator during streaming or long-running API calls to improve UX
• Disable ChatInput while awaiting responses to prevent duplicate submissions
• Use className to extend styling with Tailwind tokens instead of editing components directly
• Handle system messages separately (centered) for notices or context changes

Example use cases

• A support chat widget in a web app that streams assistant replies
• An AI coding assistant embedded in a developer dashboard
• A conversational onboarding flow that displays system prompts and tips
• A multi-role chat viewer that shows user, assistant, and system messages
• A prototype for testing streaming LLM responses with live typing indicators