ai-elements — agentic-ai ai-elements, AgentStack, community, agentic-ai, ide skills, ai-agents, chatbot, claude-code, copilot, deep-learning, Claude Code

v1.0.0

About this Skill

Ideal for Frontend Agents needing rapid development of AI-native applications with pre-built conversation and message components. 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

# Core Topics

ssdeanx ssdeanx
[17]
[4]
Updated: 2/28/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

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

Ideal for Frontend Agents needing rapid development of AI-native applications with pre-built conversation and message components. 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

Core Value

Empowers agents to build scalable AI systems with pre-built components like conversations and messages, leveraging shadcn/ui and AI Elements' custom registry, and integrating via dedicated CLI commands or standard shadcn/ui CLI for seamless setup.

Ideal Agent Persona

Ideal for Frontend Agents needing rapid development of AI-native applications with pre-built conversation and message components.

Capabilities Granted for ai-elements

Building AI-native applications with pre-built conversation components
Integrating custom message components into existing AI systems
Rapidly prototyping AI-powered interfaces with shadcn/ui and AI Elements

! Prerequisites & Limits

  • Requires shadcn/ui integration
  • Dependent on AI Elements' custom registry
  • Limited to applications compatible with shadcn/ui and AI Elements' component library

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Curated Collection Review

Reviewed In Curated Collections

This section shows how Killer-Skills has already collected, reviewed, and maintained this skill inside first-party curated paths. For operators and crawlers alike, this is a stronger signal than treating the upstream README as the primary story.

Reviewed Collection

OpenAI Workflow Tools for Prompt, Eval, and Agent Teams

Reviewed 2026-04-17

Reviewed on 2026-04-17 for setup clarity, eval usefulness, runtime visibility, and maintainer reliability. We kept the tools that help OpenAI teams move from experiments to repeatable production routines.

OpenAI visitors usually arrive with a concrete job: improve prompts, add evals, debug runtime behavior, or make agent operations easier to hand off. This page narrows the shortlist around those jobs.

12 entries Killer-Skills editorial review with monthly collection checks.
Reviewed Collection

Next.js Workflow Tools to Install First

Reviewed 2026-04-17

Reviewed on 2026-04-17 against Next.js workflow fit, installation clarity, operator handoff, and full-stack delivery usefulness. This page is now positioned as an install-first Next.js entry point instead of a broad framework roundup.

We prioritize this page because Next.js-intent users usually need a shortlist they can install, validate, and carry into real full-stack release loops quickly.

12 entries Maintained through Killer-Skills editorial review with trust, install-path, and operator checks.
Reviewed Collection

React Workflow Tools to Install First

Reviewed 2026-04-17

Reviewed on 2026-04-17 against React workflow fit, installation clarity, operator handoff, and frontend delivery usefulness. This page is now positioned as an install-first React entry point instead of a broad UI tooling roundup.

We prioritize this page because React-intent users usually need a shortlist they can install, validate, and carry into real UI delivery loops quickly.

12 entries Maintained through Killer-Skills editorial review with trust, install-path, and operator checks.
After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

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?

Ideal for Frontend Agents needing rapid development of AI-native applications with pre-built conversation and message components. 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

How do I install ai-elements?

Run the command: npx killer-skills add ssdeanx/AgentStack/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: Building AI-native applications with pre-built conversation components, Integrating custom message components into existing AI systems, Rapidly prototyping AI-powered interfaces with shadcn/ui and AI Elements.

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?

Requires shadcn/ui integration. Dependent on AI Elements' custom registry. Limited to applications compatible with shadcn/ui and AI Elements' component library.

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 ssdeanx/AgentStack/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.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

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
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
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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