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Chat Ui

Organization
inference-sh
chat-ui

Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks

Overview

Publisherinference-sh
Repositoryskills
Skill namechat-ui
Stars
790
Forks
106
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by inference-sh on GitHub. Read the source before you install it.

Installation

Install the Chat Ui AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/inference-sh/skills/tree/main/ui/chat-ui
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/ui/chat-ui .claude/skills/chat-ui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chat Ui in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chat Ui on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chat Ui is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Install the belt CLI skill: npx skills add belt-sh/cli

Chat UI Components

Chat building blocks from ui.inference.sh.

Quick Start

bash
# Install chat components
npx shadcn@latest add https://ui.inference.sh/r/chat.json

Components

Chat Container

tsx
import { ChatContainer } from "@/registry/blocks/chat/chat-container"

<ChatContainer>
  {/* messages go here */}
</ChatContainer>

Messages

tsx
import { ChatMessage } from "@/registry/blocks/chat/chat-message"

<ChatMessage
  role="user"
  content="Hello, how can you help me?"
/>

<ChatMessage
  role="assistant"
  content="I can help you with many things!"
/>

Chat Input

tsx
import { ChatInput } from "@/registry/blocks/chat/chat-input"

<ChatInput
  onSubmit={(message) => handleSend(message)}
  placeholder="Type a message..."
  disabled={isLoading}
/>

Typing Indicator

tsx
import { TypingIndicator } from "@/registry/blocks/chat/typing-indicator"

{isTyping && <TypingIndicator />}

Full Example

tsx
import {
  ChatContainer,
  ChatMessage,
  ChatInput,
  TypingIndicator,
} from "@/registry/blocks/chat"

export function Chat() {
  const [messages, setMessages] = useState([])
  const [isLoading, setIsLoading] = useState(false)

  const handleSend = async (content: string) => {
    setMessages(prev => [...prev, { role: 'user', content }])
    setIsLoading(true)
    // Send to API...
    setIsLoading(false)
  }

  return (
    <ChatContainer>
      {messages.map((msg, i) => (
        <ChatMessage key={i} role={msg.role} content={msg.content} />
      ))}
      {isLoading && <TypingIndicator />}
      <ChatInput onSubmit={handleSend} disabled={isLoading} />
    </ChatContainer>
  )
}

Message Variants

RoleDescription
userUser messages (right-aligned)
assistantAI responses (left-aligned)
systemSystem messages (centered)

Styling

Components use Tailwind CSS and shadcn/ui design tokens:

tsx
<ChatMessage
  role="assistant"
  content="Hello!"
  className="bg-muted"
/>

Related Skills

bash
# Full agent component (recommended)
npx skills add inference-sh/skills@agent-ui

# Declarative widgets
npx skills add inference-sh/skills@widgets-ui

# Markdown rendering
npx skills add inference-sh/skills@markdown-ui

Documentation

Component docs: ui.inference.sh/blocks/chat

Frequently asked questions

What does the Chat Ui AI skill do?

Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks

Why use Chat Ui on TypingMind?

Because you install it once and use it with any model. Chat Ui is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chat Ui in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/ui/chat-ui. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chat Ui?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chat Ui?

As many as you like. As long as a model supports skills, you can use Chat Ui with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chat Ui AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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