**Status**: Production Ready ✅ | **Last Verified**: 2025-11-18
Generates production-ready chat UI components for AI applications with streaming support.
npx claudepluginhub secondsky/claude-skillsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
assets/api-route-template.tsassets/chat-interface-starter.tsxassets/example-template.txtreferences/component-catalog.mdreferences/example-reference.mdreferences/setup-guide.mdscripts/example-script.shscripts/setup-ai-elements.shStatus: 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 setupThis skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.