ui/chat-ui/SKILL.md
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
npx skillsauth add inference-sh-8/skills chat-uiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Install the belt CLI skill:
npx skills add belt-sh/cli
Chat building blocks from ui.inference.sh.

# Install chat components
npx shadcn@latest add https://ui.inference.sh/r/chat.json
import { ChatContainer } from "@/registry/blocks/chat/chat-container"
<ChatContainer>
{/* messages go here */}
</ChatContainer>
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!"
/>
import { ChatInput } from "@/registry/blocks/chat/chat-input"
<ChatInput
onSubmit={(message) => handleSend(message)}
placeholder="Type a message..."
disabled={isLoading}
/>
import { TypingIndicator } from "@/registry/blocks/chat/typing-indicator"
{isTyping && <TypingIndicator />}
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>
)
}
| Role | Description |
|------|-------------|
| user | User messages (right-aligned) |
| assistant | AI responses (left-aligned) |
| system | System messages (centered) |
Components use Tailwind CSS and shadcn/ui design tokens:
<ChatMessage
role="assistant"
content="Hello!"
className="bg-muted"
/>
# 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
Component docs: ui.inference.sh/blocks/chat
data-ai
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development
Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui
tools
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending
tools
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop