How do I install the Ugc Manual skill?

Run npx skillmds@latest add dvcrn/ugc-manual in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ugc Manual safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ugc Manual?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ugc Manual free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ugc Manual?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ugc Manual by dvcrn — Agent Skill

Name: Ugc Manual
Rating: 4.2 (5 reviews)
Author: dvcrn

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)

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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

Input	Description	Formats
`image`	Image with a visible face	JPG, PNG
`input_audio`	Audio file to lip-sync	MP3, 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"

Workflow Integration

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

Feature	UGC-Manual	VEED-UGC
Audio source	User provides	Generated from brief
Script	N/A	Auto-generated
Voice	User's recording	ElevenLabs TTS
Use case	Custom audio	Automated 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

---name: ugc-manualdescription: 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)---# UGC-ManualGenerate lip-sync videos by combining an image with a custom audio file using ComfyDeploy's UGC-MANUAL workflow.## OverviewUGC-Manual takes:1. An image (person/character with visible face)2. 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| Input | Description | Formats ||-------|-------------|---------|| `image` | Image with a visible face | JPG, PNG || `input_audio` | Audio file to lip-sync | MP3, WAV, OGG |## Usage```bashuv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \ --image "path/to/image.jpg" \ --audio "path/to/audio.mp3" \ --output "output-video.mp4"```### With URLs:```bashuv run ~/.clawdbot/skills/ugc-manual/scripts/generate.py \ --image "https://example.com/image.jpg" \ --audio "https://example.com/audio.mp3" \ --output "result.mp4"```## Workflow Integration### Typical Use Cases1. **Custom voice recordings** - User records their own audio via Telegram/WhatsApp2. **Pre-generated TTS** - Audio generated externally (ElevenLabs, etc.)3. **Music/sound sync** - Sync mouth movements to any audio### Example Pipeline```bash# 1. Convert Telegram voice message to MP3 (if needed)ffmpeg -i voice.ogg -acodec libmp3lame -q:a 2 voice.mp3# 2. Generate lip-sync videouv run ugc-manual... --image face.jpg --audio voice.mp3 --output video.mp4```## Difference from VEED-UGC| Feature | UGC-Manual | VEED-UGC ||---------|------------|----------|| Audio source | User provides | Generated from brief || Script | N/A | Auto-generated || Voice | User's recording | ElevenLabs TTS || Use case | Custom audio | Automated 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

Frequently asked questions