Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Video Messages from your openclaw
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.
skill openclawclawhub Free
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.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- thewulf7
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
SettingDefaultDescriptionavatardefault.vrmVRM avatar file pathbackground#00FF00Color (hex) or image path
System Dependencies
PlatformCommandmacOSbrew install ffmpegLinuxsudo apt-get install -y xvfb xauth ffmpegWindowsInstall ffmpeg and add to PATHDockerSee Docker section below Note: macOS and Windows don't need xvfb — 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
Read config from TOOLS.md (avatar, background) Generate TTS if given text: tts text="..." → audio path Run avatarcam with audio + settings → MP4 output Send as video note via message action=send filePath=... asVideoNote=true Return NO_REPLY after sending
Example Flow
User: "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
Technical Details
SettingValueResolution384x384 (square)Frame rate30fps constantMax duration60 secondsVideo codecH.264 (libx264)Audio codecAACQualityCRF 18 (high quality)ContainerMP4
Processing Pipeline
Electron renders VRM avatar with lip sync at 1280x720 WebM captured via canvas.captureStream(30) FFmpeg processes: crop → fps normalize → scale → encode Message tool sends via Telegram sendVideoNote API
Platform Support
PlatformDisplayNotesmacOSNative QuartzNo extra depsLinuxxvfb (headless)apt install xvfbWindowsNativeNo 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 ≈ 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
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md