Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Chat Ui
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interf...
skill openclawclawhub Free
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interf...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.5
Provenance
- Publisher
- okaris
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Chat UI Components
Chat building blocks from ui.inference.sh.
Quick Start
# Install chat components npx shadcn@latest add https://ui.inference.sh/r/chat.json
Chat Container
import { ChatContainer } from "@/registry/blocks/chat/chat-container" <ChatContainer> {/* messages go here */} </ChatContainer>
Messages
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
import { ChatInput } from "@/registry/blocks/chat/chat-input" <ChatInput onSubmit={(message) => handleSend(message)} placeholder="Type a message..." disabled={isLoading} />
Typing Indicator
import { TypingIndicator } from "@/registry/blocks/chat/typing-indicator" {isTyping && <TypingIndicator />}
Full Example
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
RoleDescriptionuserUser messages (right-aligned)assistantAI responses (left-aligned)systemSystem messages (centered)
Styling
Components use Tailwind CSS and shadcn/ui design tokens: <ChatMessage role="assistant" content="Hello!" className="bg-muted" />
Related Skills
# 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
Chatting with Agents - Building chat interfaces Agent UX Patterns - Chat UX best practices Real-Time Streaming - Streaming responses Component docs: ui.inference.sh/blocks/chat
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md