A local Python-based rendering engine designed to transform product clips and images into viral 1080x1920 video ads for TikTok, Reels, and Shorts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-ad-creative-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-ad-creative-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ad Creative Engine?
The Ad Creative Engine is a specialized tool within the Openclaw Skills ecosystem that automates the production of high-impact, short-form video content. It leverages Python and FFmpeg to process media assets locally, ensuring data privacy and eliminating the need for expensive cloud-based video APIs. By utilizing this skill, developers and marketers can programmatically generate advertisements tailored for vertical social media platforms using pre-defined viral styles like Meme, Clean, or UGC.
This addition to Openclaw Skills is perfect for scaling creative production without manual editing overhead. It handles aspect ratio conversions, font rendering, and color grading automatically, allowing you to focus on the marketing strategy rather than the technical minutiae of video editing. It is an essential component for any developer looking to build automated marketing workflows using Openclaw Skills.
Ad Creative Engine Use Cases
- Automating the creation of TikTok and Instagram Reel ads for e-commerce stores.
- Programmatically generating Meme-style viral marketing hooks for product launches.
- Batch processing product images into polished vertical video slideshows.
- Scaling creative testing by generating multiple variations of video ads using various Openclaw Skills.
How Ad Creative Engine Works
- The skill ingests a JSON configuration file defining scenes, text overlays, and music assets.
- Media assets are processed using MoviePy and Pillow to match the required 1080x1920 vertical resolution.
- Selected visual styles such as Clean, Meme, or UGC are applied, including specific fonts like Anton or Montserrat.
- Optionally, Librosa analyzes the audio track to synchronize scene transitions with the detected music beats.
- FFmpeg renders the final H.264 video file, fully optimized for mobile social media platforms.
Ad Creative Engine Setup
Ensure you have python3 and ffmpeg installed on your system. To integrate this with your Openclaw Skills workflow, follow these steps:
# Navigate to the skill directory
cd skill-ad-creative-engine
# Install required Python dependencies
pip3 install -r requirements.txt
# (Optional) Install librosa for advanced beat synchronization
pip3 install librosa
# Execute a render using the provided example configuration
python3 scripts/render.py --config examples/config_example.json
Ad Creative Engine Data Schema & Taxonomy
The skill relies on a structured JSON configuration to define the video output. Below is the metadata taxonomy used by this member of the Openclaw Skills library:
| Property | Type | Description |
|---|---|---|
| style | String | The visual theme: clean, meme, or ugc. |
| hook_text | String | The primary text overlay for the video hook. |
| scenes | Array | Objects containing path (file location) and duration (seconds). |
| beat_sync | Boolean | Enables automatic transition snapping to audio beats. |
| output | String | The destination path for the rendered .mp4 file. |
Ad Creative Engine Advanced Features
- Local rendering pipeline ensuring no external cloud dependencies or recurring API costs.
- Automatic beat-sync technology for professional-grade audio-visual alignment.
- Pre-configured viral style templates optimized for high mobile engagement.
- Warm-tone color grading automatically applied to enhance product visual appeal.
- Seamless integration into automated content pipelines via the Openclaw Skills framework.
SKILL.md
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