ai-elements

REVIEW · 56
Registry indexed

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.

Verified installs0
Stars63
Version1.0.0
Quality65/100 · Promising
Trust56/100 · Do not auto-install
Audit74/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add oomol-lab/wanta --skill ai-elements

Maintenance

fresh

Pushed today

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

63

65/100 Quality · 64/100 Trust

Coverage tags

CodingGitHub automationdesign-creativeagent-skill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
65

Useful candidate, but compare it with alternatives before adopting.

Trust

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
74

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

63 GitHub stars

Repo activity

63 stars, 11 forks

Maintenance

Pushed today

License

Apache-2.0

Install

npx skills add oomol-lab/wanta --skill ai-elements

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 63 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add oomol-lab/wanta --skill ai-elements
Policy
block
Human review
yes

Trust and risk

Trust
56/100
Audit
74/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add oomol-lab/wanta --skill ai-elements

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).
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution, Secrets or environment access

Agent safety v2

34/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install oomol-lab-ai-elements

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use ai-elements in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-elements%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/oomol-lab-ai-elements/install
Install command: npx skills add oomol-lab/wanta --skill ai-elements
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use ai-elements for this task. Review https://www.openagentskill.com/api/skills/oomol-lab-ai-elements/install, then install with: npx skills add oomol-lab/wanta --skill ai-elements

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

64/100

GitHub automation

Platforms

Claude Code

Audit report

Needs review · 74/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

64
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 65/100 quality profile

review first

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
OpenAgentSkill Trust Score

GitHub adoption

CHECK

63 GitHub stars

Stars/forks activity

CHECK

63 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 63 GitHub stars
  • Stars/forks activity: 63 stars, 11 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
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

65
GitHub stars
63
Freshness
Today
Install ready
Yes
License
Apache-2.0
Review before install: SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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.

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 22, 2026
Published
Aug 22, 2026

Decision snapshot

Fallback candidate

64
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

74
Needs review
Security
71/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for ai-elements, ready for a manual X post.

Curator note
A practical pick for design or creative work:

ai-elements: Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Us...

63 stars

https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=x
Open X draft
Optional reply with install command
Listing + install path for ai-elements:
https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=x

Install: npx skills add oomol-lab/wanta --skill ai-elements

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
oomol-lab
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to oomol-lab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![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)
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[![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)

Author

O

oomol-lab

@oomol-lab

Platform fit

Health signals

GitHub stars
63
Quality score
36/100
Last GitHub push
Aug 22, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

56
  • GitHub adoption63 GitHub starsCHECK
  • Stars/forks activity63 stars, 11 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK