據 AlphaMoat 統計,截至 2026-09,LiveAvatar 累計下載 3,263 次、獲 9 個星標,在全部 5,078 個 AI 技能中排名第 3,488 位,在「設計創意」分類(512 個)中排名第 320 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 104 | 3122 | 9 | 2 |
| SkillHub ↗ | 294 | 3263 | 9 | — |
各平台的計數口徑不同,統計時間不一致。
它啟動一個由 LiveAvatar 驅動的即時 AI 頭像:你對麥克風說話,頭像把語音轉成文字發給 OpenClaw Gateway,再把代理的回答以口型同步的影片播報出來。功能包括語音對語音對話、文字聊天兜底、長回答的智慧 TTS 摘要、回聲消除(不會回應自己)與多種頭像選擇。使用前需要設定 LIVEAVATAR_API_KEY,並要求 OpenClaw Gateway 在執行、Node.js 18+ 與帶麥克風的現代瀏覽器。
資料釋出於 2026-10-27
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3263 | — | 9 |
| 2026-08 | 3041 | +3.3% | 9 |
| 2026-07 | 2944 | +7.4% | 9 |
| 2026-06 | 2740 | +5.1% | 9 |
| 2026-05 | 2607 | — | 9 |
| 2026-03 | 2251 | — | 9 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: liveavatar
description: Talk face-to-face with your OpenClaw agent using a real-time video avatar powered by LiveAvatar
user-invocable: true
metadata: {"openclaw":{"emoji":"🎭","requires":{"env":["LIVEAVATAR_API_KEY"],"bins":["node","npm"]},"install":[{"id":"node","kind":"node","package":"openclaw-liveavatar","bins":["openclaw-liveavatar"],"label":"Install LiveAvatar (npm)"}]}}
---
# OpenClaw LiveAvatar
Give your OpenClaw agent a face and voice! This skill launches a real-time AI avatar that you can talk to naturally using your microphone. The avatar listens to you, sends your speech to your OpenClaw agent, and speaks the response back with lip-synced video.
Powered by [LiveAvatar](https://liveavatar.com) - real-time AI avatar technology.
## Setup
### 1. Get Your API Key (Free)
1. Go to [app.liveavatar.com](https://app.liveavatar.com)
2. Create a free account
3. Copy your API key from the dashboard
### 2. Set Your API Key
```bash
export LIVEAVATAR_API_KEY=your_api_key_here
```
Or add to `~/.openclaw/openclaw.json`:
```json
{
"skills": {
"entries": {
"liveavatar": {
"env": {
"LIVEAVATAR_API_KEY": "your_api_key_here"
}
}
}
}
}
```
## Usage
Run `/liveavatar` to start the video avatar interface.
When the user runs this command:
1. **Check if LIVEAVATAR_API_KEY is set**. If not, tell them:
> You need a LiveAvatar API key. Get one free at https://app.liveavatar.com
> Then set it: `export LIVEAVATAR_API_KEY=your_key`
2. **Launch the interface**:
```bash
npx openclaw-liveavatar
```
3. **Tell the user**:
> Your LiveAvatar interface is starting at http://localhost:3001
> It will connect automatically to your OpenClaw Gateway.
>
> Tips:
> - Allow microphone access when prompted
> - Click the green mic button to speak
> - The avatar will respond with your agent's answers
> - Click the X button to end the session
## How It Works
```
You speak → Avatar transcribes → OpenClaw processes → Avatar speaks response
```
1. **Voice Input**: Speak into your microphone
2. **Transcription**: LiveAvatar converts speech to text
3. **Agent Processing**: Text sent to OpenClaw Gateway (port 18789)
4. **Response**: Agent response returned
5. **Avatar Speech**: Avatar speaks with natural lip-sync
## Features
- Real-time video avatar with expressions
- Voice-to-voice conversations
- Text chat fallback option
- Smart TTS summarization for long responses
- Echo cancellation (won't respond to itself)
- Multiple avatar choices
## Requirements
- OpenClaw Gateway running (`openclaw gateway`)
- LiveAvatar API key
- Modern browser with microphone
- Node.js 18+
## Troubleshooting
**"OpenClaw Disconnected"**
```bash
openclaw gateway
```
**"No avatars available"**
- Check LIVEAVATAR_API_KEY is set correctly
**Voice not working**
- Allow microphone access in browser
- Check system audio settings
## Links
- [LiveAvatar](https://liveavatar.com) - Real-time avatar platform
- [OpenClaw](https://openclaw.ai) - Your personal AI assistant
- [GitHub](https://github.com/eNNNo/openclaw-liveavatar) - Source code
ContextWeave 架構圖一鍵生成
用 Nano Banana Pro 生成或編輯圖片的指令碼技能。
用 whisper 命令列工具在本機將音訊轉成文字或進行翻譯。
透過 MCP 服務生成與編輯圖表的技能。
面向介面設計的思路與落地建議技能,覆蓋佈局、互動流程、設計令牌與前端改動。
面向多家影片模型 API 的 AI 影片生成與編排技能。
用 ffmpeg 從影片裡取出畫面幀,或生成便於快速檢視的縮圖。
用本地 Whisper 把音訊檔案轉成文字,模型下載完成後可完全離線執行。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。