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secondsky/claude-skills137 installs

ai-elements-chatbot

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.

How do I install this agent skill?

npx skills add https://github.com/secondsky/claude-skills --skill ai-elements-chatbot
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubwarn

    The skill installs a third-party UI component library using the 'pnpm dlx' command, which downloads and executes remote code at runtime. It also includes an automated shell script for environment configuration and installation. While these are common patterns in modern web development, the external source is not listed as a trusted vendor.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

AI 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 ✅

  1. Install shadcn/ui first (AI Elements requires it)
  2. Use Next.js App Router (Pages Router not supported)
  3. Use AI SDK v5 (breaking changes from v4)
  4. Install via CLI (pnpm dlx ai-elements@latest)
  5. Update components.json with registry
  6. Use client components ('use client' directive)
  7. Stream responses for better UX
  8. Handle loading states
  9. Add error boundaries
  10. Test on mobile

Never Do ❌

  1. Never install as npm package (components are copied)
  2. Never use Pages Router (only App Router)
  3. Never use AI SDK v4 (breaking changes)
  4. Never skip prerequisites (shadcn/ui, Tailwind)
  5. Never modify core types (extends shadcn types)
  6. Never use without streaming (defeats purpose)
  7. Never skip accessibility (ARIA labels)
  8. Never hardcode styles (use Tailwind)
  9. Never skip error handling (API failures)
  10. 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 examples
  • example-reference.md - Complete integration examples and patterns
  • setup-guide.md - Step-by-step setup with Next.js 15 and shadcn/ui

Templates (templates/):

  • Component examples available in reference files

Official Documentation


Questions? Issues?

  1. Check references/setup-guide.md for complete setup
  2. Verify prerequisites (Next.js 15+, shadcn/ui, AI SDK v5)
  3. See official examples

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/secondsky/claude-skills/ai-elements-chatbot">View ai-elements-chatbot on skillZs</a>