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BytesAgain β€Ί Skills β€Ί Video Messages from your openclaw
πŸ¦€ ClawHub

Video Messages from your openclaw

by @thewulf7

Generate 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.

Versionv0.1.2
Downloads3,578
Installs11
Stars⭐ 4
#video#audio#legal
TERMINAL
clawhub install avatar-video-messages

πŸ“– About This Skill

name: video-message description: Generate 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. metadata: { "openclaw": { "emoji": "πŸŽ₯", "requires": { "bins": ["ffmpeg", "avatarcam"] }, "install": [ { "id": "npm", "kind": "npm", "package": "@thewulf7/openclaw-avatarcam", "global": true, "bins": ["avatarcam"], "label": "Install avatarcam (npm)", }, { "id": "brew", "kind": "brew", "formula": "ffmpeg", "bins": ["ffmpeg"], "label": "Install ffmpeg (brew)", }, { "id": "apt", "kind": "apt", "packages": ["xvfb", "xauth"], "label": "Install headless X dependencies (Linux only)", }, ], }, }

Video Message

Generate avatar video messages from text or audio. Outputs as Telegram video notes (circular format).

Installation

npm install -g openclaw-avatarcam

Configuration

Configure in TOOLS.md:

### Video Message (avatarcam)

  • avatar: default.vrm
    • 

  • background: #00FF00
    •

    Settings Reference

    | Setting | Default | Description | |---------|---------|-------------| | avatar | default.vrm | VRM avatar file path | | background | #00FF00 | Color (hex) or image path |

    Prerequisites

    System Dependencies

    | 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 β€” they have native display support.

    Docker Users

    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

    Usage

    # 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"

    Sending as Video Note

    Use OpenClaw's message tool with asVideoNote:

    message action=send filePath=/tmp/video.mp4 asVideoNote=true

    Workflow

    1. Read config from TOOLS.md (avatar, background) 2. Generate TTS if given text: tts text="..." β†’ audio path 3. Run avatarcam with audio + settings β†’ MP4 output 4. Send as video note via message action=send filePath=... asVideoNote=true 5. Return NO_REPLY after sending

    Example Flow

    User: "Send me a video message saying hello"

    # 1. TTS
tts text="Hello! How are you today?" β†’ /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

    Technical Details

    | 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 |

    Processing Pipeline

    1. Electron renders VRM avatar with lip sync at 1280x720 2. WebM captured via canvas.captureStream(30) 3. FFmpeg processes: crop β†’ fps normalize β†’ scale β†’ encode 4. Message tool sends via Telegram sendVideoNote API

    Platform Support

    | Platform | Display | Notes | |----------|---------|-------| | macOS | Native Quartz | No extra deps | | Linux | xvfb (headless) | apt install xvfb | | Windows | Native | No extra deps |

    Headless Rendering

    Avatarcam auto-detects headless environments:

  • Uses xvfb-run when $DISPLAY is not set (Linux only)
  • macOS/Windows use native display
  • GPU stall warnings are safe to ignore
  • Generation time: ~1.5x realtime (20s audio β‰ˆ 30s processing)

    • Notes

  • Config is read from TOOLS.md
  • Clean up temp files after sending: rm /tmp/video*.mp4
  • For regular video (not circular), omit asVideoNote=true

    • πŸ’‘ Examples

    # 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"

    βš™οΈ Configuration

    Configure in TOOLS.md:

    ### Video Message (avatarcam)

  • avatar: default.vrm
    • 

  • background: #00FF00
    •

    Settings Reference

    | Setting | Default | Description | |---------|---------|-------------| | avatar | default.vrm | VRM avatar file path | | background | #00FF00 | Color (hex) or image path |

    πŸ“‹ Tips & Best Practices

  • Config is read from TOOLS.md
  • Clean up temp files after sending: rm /tmp/video*.mp4
  • For regular video (not circular), omit asVideoNote=true