Install
openclaw skills install avatar-video-messagesGenerate and send video messages with a lip-syncing VRM avatar. Use when user asks for video message, avatar video, video reply, or when TTS should be delivered as video instead of audio.
openclaw skills install avatar-video-messagesGenerate avatar video messages from text or audio. Outputs as Telegram video notes (circular format).
npm install -g openclaw-avatarcam
Configure in TOOLS.md:
### Video Message (avatarcam)
- avatar: default.vrm
- background: #00FF00
| Setting | Default | Description |
|---|---|---|
avatar | default.vrm | VRM avatar file path |
background | #00FF00 | Color (hex) or image path |
| Platform | Command |
|---|---|
| macOS | brew install ffmpeg |
| Linux | sudo apt-get install -y xvfb xauth ffmpeg |
| Windows | Install ffmpeg and add to PATH |
| Docker | See Docker section below |
Note: macOS and Windows don't need xvfb — they have native display support.
Add to OPENCLAW_DOCKER_APT_PACKAGES:
build-essential procps curl file git ca-certificates xvfb xauth libgbm1 libxss1 libatk1.0-0 libatk-bridge2.0-0 libgdk-pixbuf2.0-0 libgtk-3-0 libasound2 libnss3 ffmpeg
# With color background
avatarcam --audio voice.mp3 --output video.mp4 --background "#00FF00"
# With image background
avatarcam --audio voice.mp3 --output video.mp4 --background "./bg.png"
# With custom avatar
avatarcam --audio voice.mp3 --output video.mp4 --avatar "./custom.vrm"
Use OpenClaw's message tool with asVideoNote:
message action=send filePath=/tmp/video.mp4 asVideoNote=true
tts text="..." → audio pathmessage action=send filePath=... asVideoNote=trueUser: "Send me a video message saying hello"
# 1. TTS
tts text="Hello! How are you today?" → /tmp/voice.mp3
# 2. Generate video
avatarcam --audio /tmp/voice.mp3 --output /tmp/video.mp4 --background "#00FF00"
# 3. Send as video note
message action=send filePath=/tmp/video.mp4 asVideoNote=true
# 4. Reply
NO_REPLY
| Setting | Value |
|---|---|
| Resolution | 384x384 (square) |
| Frame rate | 30fps constant |
| Max duration | 60 seconds |
| Video codec | H.264 (libx264) |
| Audio codec | AAC |
| Quality | CRF 18 (high quality) |
| Container | MP4 |
canvas.captureStream(30)sendVideoNote API| Platform | Display | Notes |
|---|---|---|
| macOS | Native Quartz | No extra deps |
| Linux | xvfb (headless) | apt install xvfb |
| Windows | Native | No extra deps |
Avatarcam auto-detects headless environments:
xvfb-run when $DISPLAY is not set (Linux only)rm /tmp/video*.mp4asVideoNote=true