ai-elements — gemini-api ai-elements, lms-front, community, gemini-api, ide skills, nextjs, openai, Claude Code, Cursor, Windsurf

v1.0.0

このスキルについて

NextJS および OpenAI 開発者向けに最適化されており、事前構築された会話およびメッセージ コンポーネントを使用して AI ネイティブ アプリケーションの開発を加速します。 Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in packages/elements/src or when the user asks to add a new component to ai-elements.

# Core Topics

guillermoscript guillermoscript
[18]
[12]
Updated: 3/2/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
54
Canonical Locale
en
Detected Body Locale
en

NextJS および OpenAI 開発者向けに最適化されており、事前構築された会話およびメッセージ コンポーネントを使用して AI ネイティブ アプリケーションの開発を加速します。 Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in packages/elements/src or when the user asks to add a new component to ai-elements.

このスキルを使用する理由

エージェントが事前構築されたコンポーネント(会話やメッセージなど)を利用して、shadcn/ui ライブラリやカスタム レジストリを活用し、NextJS および OpenAI プロトコルとシームレスに統合することで、AI ネイティブ アプリケーションをより迅速に構築できるようにします。

おすすめ

NextJS および OpenAI 開発者向けに最適化されており、事前構築された会話およびメッセージ コンポーネントを使用して AI ネイティブ アプリケーションの開発を加速します。

実現可能なユースケース for ai-elements

AI ドリブンのチャット インターフェイスの開発を加速する
OpenAI モデルを NextJS アプリケーションに統合することを簡素化する
事前構築されたコンポーネントを使用してカスタマイズ可能な会話フローを構築する

! セキュリティと制限

  • NextJS および OpenAI の統合が必要
  • shadcn/ui ライブラリおよびカスタム レジストリに依存する

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Labs Demo

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is ai-elements?

NextJS および OpenAI 開発者向けに最適化されており、事前構築された会話およびメッセージ コンポーネントを使用して AI ネイティブ アプリケーションの開発を加速します。 Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in packages/elements/src or when the user asks to add a new component to ai-elements.

How do I install ai-elements?

Run the command: npx killer-skills add guillermoscript/lms-front/ai-elements. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for ai-elements?

Key use cases include: AI ドリブンのチャット インターフェイスの開発を加速する, OpenAI モデルを NextJS アプリケーションに統合することを簡素化する, 事前構築されたコンポーネントを使用してカスタマイズ可能な会話フローを構築する.

Which IDEs are compatible with ai-elements?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for ai-elements?

NextJS および OpenAI の統合が必要. shadcn/ui ライブラリおよびカスタム レジストリに依存する.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add guillermoscript/lms-front/ai-elements. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use ai-elements immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

ai-elements

Install ai-elements, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

AI Elements

AI Elements is a component library and custom registry built on top of shadcn/ui to help you build AI-native applications faster. It provides pre-built components like conversations, messages and more.

Installing AI Elements is straightforward and can be done in a couple of ways. You can use the dedicated CLI command for the fastest setup, or integrate via the standard shadcn/ui CLI if you've already adopted shadcn's workflow.

Quick Start

Here are some basic examples of what you can achieve using components from AI Elements.

Prerequisites

Before installing AI Elements, make sure your environment meets the following requirements:

  • Node.js, version 18 or later
  • A Next.js project with the AI SDK installed.
  • shadcn/ui installed in your project. If you don't have it installed, running any install command will automatically install it for you.
  • We also highly recommend using the AI Gateway and adding AI_GATEWAY_API_KEY to your env.local so you don't have to use an API key from every provider. AI Gateway also gives $5 in usage per month so you can experiment with models. You can obtain an API key here.

Installing Components

You can install AI Elements components using either the AI Elements CLI or the shadcn/ui CLI. Both achieve the same result: adding the selected component’s code and any needed dependencies to your project.

The CLI will download the component’s code and integrate it into your project’s directory (usually under your components folder). By default, AI Elements components are added to the @/components/ai-elements/ directory (or whatever folder you’ve configured in your shadcn components settings).

After running the command, you should see a confirmation in your terminal that the files were added. You can then proceed to use the component in your code.

Usage

Once an AI Elements component is installed, you can import it and use it in your application like any other React component. The components are added as part of your codebase (not hidden in a library), so the usage feels very natural.

Example

After installing AI Elements components, you can use them in your application like any other React component. For example:

tsx
1"use client"; 2 3import { 4 Message, 5 MessageContent, 6 MessageResponse, 7} from "@/components/ai-elements/message"; 8import { useChat } from "@ai-sdk/react"; 9 10const Example = () => { 11 const { messages } = useChat(); 12 13 return ( 14 <> 15 {messages.map(({ role, parts }, index) => ( 16 <Message from={role} key={index}> 17 <MessageContent> 18 {parts.map((part, i) => { 19 switch (part.type) { 20 case "text": 21 return ( 22 <MessageResponse key={`${role}-${i}`}> 23 {part.text} 24 </MessageResponse> 25 ); 26 } 27 })} 28 </MessageContent> 29 </Message> 30 ))} 31 </> 32 ); 33}; 34 35export default Example;

In the example above, we import the Message component from our AI Elements directory and include it in our JSX. Then, we compose the component with the MessageContent and MessageResponse subcomponents. You can style or configure the component just as you would if you wrote it yourself – since the code lives in your project, you can even open the component file to see how it works or make custom modifications.

Extensibility

All AI Elements components take as many primitive attributes as possible. For example, the Message component extends HTMLAttributes<HTMLDivElement>, so you can pass any props that a div supports. This makes it easy to extend the component with your own styles or functionality.

Customization

After installation, no additional setup is needed. The component’s styles (Tailwind CSS classes) and scripts are already integrated. You can start interacting with the component in your app immediately.

For example, if you'd like to remove the rounding on Message, you can go to components/ai-elements/message.tsx and remove rounded-lg as follows:

tsx
1export const MessageContent = ({ 2 children, 3 className, 4 ...props 5}: MessageContentProps) => ( 6 <div 7 className={cn( 8 "flex flex-col gap-2 text-sm text-foreground", 9 "group-[.is-user]:bg-primary group-[.is-user]:text-primary-foreground group-[.is-user]:px-4 group-[.is-user]:py-3", 10 className 11 )} 12 {...props} 13 > 14 <div className="is-user:dark">{children}</div> 15 </div> 16);

Troubleshooting

Why are my components not styled?

Make sure your project is configured correctly for shadcn/ui in Tailwind 4 - this means having a globals.css file that imports Tailwind and includes the shadcn/ui base styles.

I ran the AI Elements CLI but nothing was added to my project

Double-check that:

  • Your current working directory is the root of your project (where package.json lives).
  • Your components.json file (if using shadcn-style config) is set up correctly.
  • You’re using the latest version of the AI Elements CLI:
bash
1npx ai-elements@latest

If all else fails, feel free to open an issue on GitHub.

Theme switching doesn’t work — my app stays in light mode

Ensure your app is using the same data-theme system that shadcn/ui and AI Elements expect. The default implementation toggles a data-theme attribute on the <html> element. Make sure your tailwind.config.js is using class or data- selectors accordingly:

The component imports fail with “module not found”

Check the file exists. If it does, make sure your tsconfig.json has a proper paths alias for @/ i.e.

json
1{ 2 "compilerOptions": { 3 "baseUrl": ".", 4 "paths": { 5 "@/*": ["./*"] 6 } 7 } 8}

My AI coding assistant can't access AI Elements components

  1. Verify your config file syntax is valid JSON.
  2. Check that the file path is correct for your AI tool.
  3. Restart your coding assistant after making changes.
  4. Ensure you have a stable internet connection.

Still stuck?

If none of these answers help, open an issue on GitHub and someone will be happy to assist.

Available Components

See the references/ folder for detailed documentation on each component.

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