Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Content Creation
UGC Manual
Generate lip-sync video from image + user's own audio recording. ✅ USE WHEN: - User provides their OWN audio file (voice recording) - Want to sync image to specific audio/voice - User recorded the script themselves - Need exact audio timing preserved ❌ DON'T USE WHEN: - User provides text script (not audio) → use veed-ugc - Need AI to generate the voice → use veed-ugc - Don't have audio file yet → use veed-ugc with script INPUT: Image + audio file (user's recording) OUTPUT: MP4 video with lip-sync to provided audio KEY DIFFERENCE: veed-ugc = script → AI voice → video ugc-manual = user audio → video (no voice generation)
skill openclawclawhub Free
Generate lip-sync video from image + user's own audio recording. ✅ USE WHEN: - User provides their OWN audio file (voice recording) - Want to sync image to specific audio/voice - User recorded the script themselves - Need exact audio timing preserved ❌ DON'T USE WHEN: - User provides text script (not audio) → use veed-ugc - Need AI to generate the voice → use veed-ugc - Don't have audio file yet → use veed-ugc with script INPUT: Image + audio file (user's recording) OUTPUT: MP4 video with lip-sync to provided audio KEY DIFFERENCE: veed-ugc = script → AI voice → video ugc-manual = user audio → video (no voice generation)
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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, scripts/generate.py, scripts/pyproject.toml
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
- 1.0.2
Provenance
- Publisher
- PauldeLavallaz
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
UGC-Manual
Generate lip-sync videos by combining an image with a custom audio file using ComfyDeploy's UGC-MANUAL workflow.
Overview
UGC-Manual takes: An image (person/character with visible face) An audio file (user's voice recording) And produces a video where the person in the image lip-syncs to the audio.
API Details
Endpoint: https://api.comfydeploy.com/api/run/deployment/queue Deployment ID: 075ce7d3-81a6-4e3e-ab0e-7a25edf601b5
Required Inputs
InputDescriptionFormatsimageImage with a visible faceJPG, PNGinput_audioAudio file to lip-syncMP3, WAV, OGG
Usage
uv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \ --image "path/to/image.jpg" \ --audio "path/to/audio.mp3" \ --output "output-video.mp4"
With URLs:
uv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \ --image "https://example.com/image.jpg" \ --audio "https://example.com/audio.mp3" \ --output "result.mp4"
Typical Use Cases
Custom voice recordings - User records their own audio via Telegram/WhatsApp Pre-generated TTS - Audio generated externally (ElevenLabs, etc.) Music/sound sync - Sync mouth movements to any audio
Example Pipeline
# 1. Convert Telegram voice message to MP3 (if needed) ffmpeg -i voice.ogg -acodec libmp3lame -q:a 2 voice.mp3 # 2. Generate lip-sync video uv run ugc-manual... --image face.jpg --audio voice.mp3 --output video.mp4
Difference from VEED-UGC
FeatureUGC-ManualVEED-UGCAudio sourceUser providesGenerated from briefScriptN/AAuto-generatedVoiceUser's recordingElevenLabs TTSUse caseCustom audioAutomated content
Notes
Image should have a clearly visible face (frontal or 3/4 view) Audio quality affects output quality Processing time: ~2-5 minutes depending on audio length Audio auto-conversion: The script automatically converts any audio format (MP3, OGG, M4A, etc.) to WAV PCM 16-bit mono 48kHz before sending to FabricLipsync Requires ffmpeg installed on the system
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Files
- SKILL.md
- scripts/generate.py
- scripts/pyproject.toml