plugins/ai-elements-chatbot/skills/ai-elements-chatbot/SKILL.md
shadcn/ui AI chat components for conversational interfaces. Use for streaming chat, tool/function displays, reasoning visualization, or encountering Next.js App Router setup, Tailwind v4 integration, AI SDK v5 migration errors.
npx skillsauth add secondsky/claude-skills ai-elements-chatbotInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Status: Production Ready ✅ | Last Verified: 2025-11-18
Production-ready chat UI components for AI applications:
pnpm dlx ai-elements@latest init
pnpm dlx ai-elements@latest add message conversation response prompt-input
'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.
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>
import { Response } from '@/components/ui/ai/response';
<Response markdown={content} />
import { PromptInput } from '@/components/ui/ai/prompt-input';
<PromptInput
value={input}
onChange={handleInputChange}
onSubmit={handleSubmit}
/>
import { CodeBlock } from '@/components/ui/ai/code-block';
<CodeBlock code={code} language="typescript" />
import { Reasoning } from '@/components/ui/ai/reasoning';
<Reasoning content={thinking} />
import { Tool } from '@/components/ui/ai/tool';
<Tool name="search" args={{ query: "..." }} result={result} />
pnpm dlx ai-elements@latest)Core:
Content:
Actions:
Advanced:
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} />
</>
);
{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>
))}
<Message role="assistant">
{reasoning && <Reasoning content={reasoning} />}
<Response markdown={content} />
</Message>
<Response markdown={content}>
{(node) => node.type === 'code' ? (
<CodeBlock code={node.value} language={node.lang} />
) : null}
</Response>
<Message role="assistant">
<Response markdown={content} />
<Sources sources={sources} />
</Message>
// 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();
}
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);
}
}
}
});
Use when:
Don't use when:
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/uiTemplates (templates/):
Questions? Issues?
references/setup-guide.md for complete setupdevops
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