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ai-elements

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

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Harga belum dikonfirmasi★ 69 Star GitHubDirektori diperbarui · 5 Sep 2026agent-skill

Ringkasan

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

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Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

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.

IMPORTANT: Run all CLI commands using the project's package runner: npx ai-elements@latest, pnpm dlx ai-elements@latest, or bunx --bun ai-elements@latest — based on the project's packageManager. Examples below use npx ai-elements@latest but substitute the correct runner for the project.

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:

"use client";

import {
  Message,
  MessageContent,
  MessageResponse,
} from "@/components/ai-elements/message";
import { useChat } from "@ai-sdk/react";

const Example = () => {
  const { messages } = useChat();

  return (
    <>
      {messages.map(({ role, parts }, index) => (
        <Message from={role} key={index}>
          <MessageContent>
            {parts.map((part, i) => {
              switch (part.type) {
                case "text":
                  return (
                    <MessageResponse key={`${role}-${i}`}>
                      {part.text}
                    </MessageResponse>
                  );
              }
            })}
          </MessageContent>
        </Message>
      ))}
    </>
  );
};

export 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:

export const MessageContent = ({
  children,
  className,
  ...props
}: MessageContentProps) => (
  <div
    className={cn(
      "flex flex-col gap-2 text-sm text-foreground",
      "group-[.is-user]:bg-primary group-[.is-user]:text-primary-foreground group-[.is-user]:px-4 group-[.is-user]:py-3",
      className
    )}
    {...props}
  >
    <div className="is-user:dark">{children}</div>
  </div>
);

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:
npx 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.

{
  "compilerOptions": {
    "baseUrl": ".",
    "paths": {
      "@/*": ["./*"]
    }
  }
}
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.

Lihat sumber ↗
Metadata berkas
name: ai-elements
description: Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
Lihat teks asli
---
name: ai-elements
description: Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
---

# AI Elements

[AI Elements](https://www.npmjs.com/package/ai-elements) is a component library and custom registry built on top of [shadcn/ui](https://ui.shadcn.com/) 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.

> **IMPORTANT:** Run all CLI commands using the project's package runner: `npx ai-elements@latest`, `pnpm dlx ai-elements@latest`, or `bunx --bun ai-elements@latest` — based on the project's `packageManager`. Examples below use `npx ai-elements@latest` but substitute the correct runner for the project.

## Prerequisites

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

- [Node.js](https://nodejs.org/en/download/), version 18 or later
- A [Next.js](https://nextjs.org/) project with the [AI SDK](https://ai-sdk.dev/) installed.
- [shadcn/ui](https://ui.shadcn.com/) 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](https://vercel.com/docs/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](https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys&title=Get%20your%20AI%20Gateway%20key).

## 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 title="conversation.tsx"
"use client";

import {
  Message,
  MessageContent,
  MessageResponse,
} from "@/components/ai-elements/message";
import { useChat } from "@ai-sdk/react";

const Example = () => {
  const { messages } = useChat();

  return (
    <>
      {messages.map(({ role, parts }, index) => (
        <Message from={role} key={index}>
          <MessageContent>
            {parts.map((part, i) => {
              switch (part.type) {
                case "text":
                  return (
                    <MessageResponse key={`${role}-${i}`}>
                      {part.text}
                    </MessageResponse>
                  );
              }
            })}
          </MessageContent>
        </Message>
      ))}
    </>
  );
};

export 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 title="components/ai-elements/message.tsx" highlight="8"
export const MessageContent = ({
  children,
  className,
  ...props
}: MessageContentProps) => (
  <div
    className={cn(
      "flex flex-col gap-2 text-sm text-foreground",
      "group-[.is-user]:bg-primary group-[.is-user]:text-primary-foreground group-[.is-user]:px-4 group-[.is-user]:py-3",
      className
    )}
    {...props}
  >
    <div className="is-user:dark">{children}</div>
  </div>
);
```

## 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 title="Terminal"
npx ai-elements@latest
```

If all else fails, feel free to open an [issue on GitHub](https://github.com/vercel/ai-elements/issues).

### 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 title="tsconfig.json"
{
  "compilerOptions": {
    "baseUrl": ".",
    "paths": {
      "@/*": ["./*"]
    }
  }
}
```

### 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](https://github.com/vercel/ai-elements/issues) and someone will be happy to assist.

## Available Components

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

Tinjau sumber

Harga dan biaya penggunaan

Dapatkan skill
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Jalankan
Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi
Apache-2.0
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Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →

Sumber skill tercatat

Jalur instruksi telah dicatat. Ini bukan uji eksekusi, jaminan keamanan, atau sertifikasi kompatibilitas.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • The SKILL.md excerpt appears truncated; ensure the full document is present and includes all sections (e.g., troubleshooting, version compatibility).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 69 GitHub stars
  • Stars/forks activity: 69 stars, 13 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

  1. 1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
  2. 2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
  3. 3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

Terindeks

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber
oomol-lab/wanta
Lisensi
Apache-2.0
Versi
1.0.0
Push GitHub terakhir
5 Sep 2026
Direktori diperbarui
5 Sep 2026
Jalur instruksi
.claude/skills/ai-elements/SKILL.md @ fcb31946010d

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

62/100

Menjanjikan

Kepercayaan

54/100

Do not auto-install

Audit

70/100

Perlu ditinjau

Buka audit lengkapLihat laporan evaluasi
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • The SKILL.md excerpt appears truncated; ensure the full document is present and includes all sections (e.g., troubleshooting, version compatibility).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 69 GitHub stars
  • Stars/forks activity: 69 stars, 13 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
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Hasil
—

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

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Detail lainnya
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      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 70,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).",
      "The SKILL.md excerpt appears truncated; ensure the full document is present and includes all sections (e.g., troubleshooting, version compatibility).",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 69 GitHub stars",
      "Stars/forks activity: 69 stars, 13 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 62,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "The SKILL.md excerpt appears truncated; ensure the full document is present and includes all sections (e.g., troubleshooting, version compatibility).",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use ai-elements in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 62/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "oomol-lab-ai-elements (ai-elements)",
      "install_command": "npx skills add oomol-lab/wanta --skill ai-elements",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "oomol-lab-ai-elements",
      "task": "Use ai-elements in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/oomol-lab-ai-elements",
    "api": "https://www.openagentskill.com/api/agent/skills/oomol-lab-ai-elements",
    "audit": "https://www.openagentskill.com/skills/oomol-lab-ai-elements/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=oomol-lab-ai-elements&task=Use%20ai-elements%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-elements%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ai-elements%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/oomol-lab-ai-elements/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/oomol-lab-ai-elements"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
oomol-lab
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan oomol-lab, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=listed&label=Listed)](https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=trust&label=Trust)](https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=audit&label=Audit)](https://www.openagentskill.com/skills/oomol-lab-ai-elements/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.