A sophisticated automation skill that converts image sets and marketing scripts into high-quality vertical videos with AI narration and subtitles.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hehe-ddc
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install hehe-ddc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ddc is a professional-grade video automation tool designed to streamline the production of short-form content for platforms like Douyin and TikTok. As part of the Openclaw Skills library, it allows developers and marketers to bypass manual editing by programmatically combining images, neural text-to-speech (TTS), and synchronized subtitles into 1080x1920 MP4 files. The skill focuses on marketing compliance and efficiency, making it ideal for high-volume content generation.
The tool utilizes Edge TTS for human-like narration and FFmpeg for robust video rendering. It includes intelligent features like automatic duration scaling, where the video length is calculated based on the script's word count, and random BGM selection to ensure content variety. By using Openclaw Skills like ddc, users can transform raw assets into brand-compliant marketing videos in under a minute.
To begin using this skill within the Openclaw Skills environment, navigate to the skill directory and execute the generation script:
cd /home/openclaw/.openclaw/workspace/skills/ddc
# Basic command with images and output path
python3 scripts/generate.py --images image1.jpg image2.jpg --output video.mp4
For advanced configurations, you can use a custom JSON file:
python3 scripts/generate.py --config config/custom.json
The skill organizes output data and configuration using the following structure:
| File/Folder | Description |
|---|---|
video.mp4 |
The final rendered vertical marketing video. |
tts.mp3 |
Generated neural voiceover audio. |
subtitle.srt |
Synchronized subtitle file for the video overlay. |
config/ |
Contains default.json for global settings like FPS, resolution (1080x1920), and audio levels. |
scripts/ |
Core Python logic for processing images and invoking FFmpeg. |
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