ai-elements-chatbot
Scannednpx machina-cli add skill secondsky/claude-skills/ai-elements-chatbot --openclawAI Elements Chatbot Components
Status: Production Ready ✅ | Last Verified: 2025-11-18
What Is AI Elements?
Production-ready chat UI components for AI applications:
- Built on shadcn/ui
- 30+ components (Message, Conversation, Response, etc.)
- Works with Vercel AI SDK v5
- Streaming support
- Tool/function call displays
- Reasoning visualization
Quick Start (15 Minutes)
Prerequisites
- Next.js 15+ (App Router)
- shadcn/ui initialized
- Tailwind v4
- AI SDK v5+
1. Initialize
pnpm dlx ai-elements@latest init
2. Add Components
pnpm dlx ai-elements@latest add message conversation response prompt-input
3. Create Chat Interface
'use client';
import { useChat } from 'ai/react';
import { Conversation } from '@/components/ui/ai/conversation';
import { Message } from '@/components/ui/ai/message';
import { Response } from '@/components/ui/ai/response';
import { PromptInput } from '@/components/ui/ai/prompt-input';
export default function ChatPage() {
const { messages, input, handleInputChange, handleSubmit } = useChat({
api: '/api/chat'
});
return (
<div className="flex h-screen flex-col">
<Conversation>
{messages.map((msg) => (
<Message key={msg.id} role={msg.role}>
<Response markdown={msg.content} />
</Message>
))}
</Conversation>
<PromptInput
value={input}
onChange={handleInputChange}
onSubmit={handleSubmit}
/>
</div>
);
}
Load references/setup-guide.md for complete setup.
Core Components
Message & Conversation
import { Conversation } from '@/components/ui/ai/conversation';
import { Message } from '@/components/ui/ai/message';
<Conversation>
{messages.map((msg) => (
<Message key={msg.id} role={msg.role}>
{msg.content}
</Message>
))}
</Conversation>
Response (Markdown)
import { Response } from '@/components/ui/ai/response';
<Response markdown={content} />
PromptInput
import { PromptInput } from '@/components/ui/ai/prompt-input';
<PromptInput
value={input}
onChange={handleInputChange}
onSubmit={handleSubmit}
/>
CodeBlock
import { CodeBlock } from '@/components/ui/ai/code-block';
<CodeBlock code={code} language="typescript" />
Reasoning (Thinking)
import { Reasoning } from '@/components/ui/ai/reasoning';
<Reasoning content={thinking} />
Tool (Function Calls)
import { Tool } from '@/components/ui/ai/tool';
<Tool name="search" args={{ query: "..." }} result={result} />
Critical Rules
Always Do ✅
- Install shadcn/ui first (AI Elements requires it)
- Use Next.js App Router (Pages Router not supported)
- Use AI SDK v5 (breaking changes from v4)
- Install via CLI (
pnpm dlx ai-elements@latest) - Update components.json with registry
- Use client components ('use client' directive)
- Stream responses for better UX
- Handle loading states
- Add error boundaries
- Test on mobile
Never Do ❌
- Never install as npm package (components are copied)
- Never use Pages Router (only App Router)
- Never use AI SDK v4 (breaking changes)
- Never skip prerequisites (shadcn/ui, Tailwind)
- Never modify core types (extends shadcn types)
- Never use without streaming (defeats purpose)
- Never skip accessibility (ARIA labels)
- Never hardcode styles (use Tailwind)
- Never skip error handling (API failures)
- Never ignore mobile (responsive required)
Available Components (30+)
Core:
- Message
- Conversation
- Response
- PromptInput
Content:
- CodeBlock
- Markdown
- Tool
- Reasoning
- Sources
Actions:
- Actions
- CopyButton
- ShareButton
- RegenerateButton
Advanced:
- BranchNavigation
- ThinkingDisplay
- WebPreview
Common Use Cases
Use Case 1: Basic Chat
const { messages, input, handleInputChange, handleSubmit } = useChat();
return (
<>
<Conversation>
{messages.map(m => (
<Message key={m.id} role={m.role}>
<Response markdown={m.content} />
</Message>
))}
</Conversation>
<PromptInput value={input} onChange={handleInputChange} onSubmit={handleSubmit} />
</>
);
Use Case 2: With Tool Calls
{messages.map(m => (
<Message key={m.id} role={m.role}>
{m.toolInvocations?.map(tool => (
<Tool key={tool.toolCallId} name={tool.toolName} args={tool.args} result={tool.result} />
))}
<Response markdown={m.content} />
</Message>
))}
Use Case 3: With Reasoning
<Message role="assistant">
{reasoning && <Reasoning content={reasoning} />}
<Response markdown={content} />
</Message>
Use Case 4: With Code Blocks
<Response markdown={content}>
{(node) => node.type === 'code' ? (
<CodeBlock code={node.value} language={node.lang} />
) : null}
</Response>
Use Case 5: With Sources
<Message role="assistant">
<Response markdown={content} />
<Sources sources={sources} />
</Message>
API Routes
Basic Streaming
// app/api/chat/route.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
export async function POST(req: Request) {
const { messages } = await req.json();
const result = streamText({
model: openai('gpt-4'),
messages
});
return result.toDataStreamResponse();
}
With Tools
const result = streamText({
model: openai('gpt-4'),
messages,
tools: {
search: {
description: 'Search the web',
parameters: z.object({ query: z.string() }),
execute: async ({ query }) => {
return await search(query);
}
}
}
});
When to Use AI Elements
Use when:
- Building ChatGPT-style interface
- Need production-ready components
- Using Vercel AI SDK
- Want streaming responses
- Need tool/function displays
- Want reasoning visualization
Don't use when:
- Not using Next.js App Router
- Don't have shadcn/ui
- Need Pages Router
- Building custom design system
Resources
References (references/):
component-catalog.md- All 8 AI Elements components with examplesexample-reference.md- Complete integration examples and patternssetup-guide.md- Step-by-step setup with Next.js 15 and shadcn/ui
Templates (templates/):
- Component examples available in reference files
Official Documentation
- AI Elements: https://ai-elements.vercel.app
- Components: https://ai-elements.vercel.app/docs/components
- Examples: https://github.com/ai-elements/ai-elements/tree/main/examples
Questions? Issues?
- Check
references/setup-guide.mdfor complete setup - Verify prerequisites (Next.js 15+, shadcn/ui, AI SDK v5)
- See official examples
Source
git clone https://github.com/secondsky/claude-skills/blob/main/plugins/ai-elements-chatbot/skills/ai-elements-chatbot/SKILL.mdView on GitHub Overview
AI Elements Chatbot Components are production-ready UI blocks built on shadcn/ui for AI-powered conversations. They support streaming chat, tool/function displays, and reasoning visualization, and are designed to work with Next.js App Router, Tailwind v4, and Vercel AI SDK v5.
How This Skill Works
The kit exposes modular UI components—Message, Conversation, Response, PromptInput, CodeBlock, Reasoning, and Tool—that render live AI messages, markdown content, and tool results. It integrates with the AI SDK v5 for chat API wiring and client-side streaming; you compose your chat interface with these components in a Next.js App Router app.
When to Use It
- Building a streaming AI chat interface in a Next.js App Router app.
- Displaying tool calls and their results inside the chat UI.
- Showing reasoning/thinking visualization alongside AI responses.
- Migrating to AI SDK v5 or resolving v5 migration issues.
- Setting up a Markdown-enabled response surface with code blocks and previews.
Quick Start
- Step 1: pnpm dlx ai-elements@latest init
- Step 2: pnpm dlx ai-elements@latest add message conversation response prompt-input
- Step 3: Build a chat page using the provided components and your /api/chat route
Best Practices
- Install shadcn/ui first; AI Elements requires it.
- Use Next.js App Router (Pages Router not supported).
- Adopt AI SDK v5 and follow its migration notes.
- Install via CLI (pnpm dlx ai-elements@latest) to scaffold components.
- Enable streaming, manage loading states, and add error boundaries.
Example Use Cases
- Streaming chat interface with Conversation and Message rendering.
- Tool calls shown as Tool components with arguments and results.
- Markdown-rich Response blocks with code blocks (CodeBlock).
- Reasoning component displaying thinking steps during assistant replies.
- App Router-ready chat page integrated in a Next.js 15+ app.