Extract high-quality frames or thumbnails from video files using the power of ffmpeg.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-frames
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 video-frames 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 Video Frames (ffmpeg)?
The Video Frames skill enables developers and AI agents to programmatically capture still images from video files at any specific timestamp. By utilizing ffmpeg, this skill provides a robust interface for generating thumbnails, inspecting visual content, or extracting high-fidelity assets for design reviews. As part of the Openclaw Skills library, it simplifies the complexity of video manipulation into straightforward command-line operations.
Whether you need a quick preview or a pixel-perfect UI frame, this skill handles the heavy lifting of media processing. It is particularly useful for automated workflows where visual evidence or content indexing is necessary.
Video Frames (ffmpeg) Use Cases
- Creating thumbnails for media management systems.
- Extracting specific UI frames from screen recordings for bug documentation.
- Capturing key moments from video logs during automated testing.
- Batch processing video datasets to generate image previews using Openclaw Skills.
How Video Frames (ffmpeg) Works
- The skill receives a path to a source video file and a target output destination.
- An optional timestamp is provided to locate a specific moment in the video timeline.
- The skill invokes ffmpeg to seek to the frame and capture the image data.
- The resulting frame is saved as a JPG for quick sharing or a PNG for lossless quality.
- The output file is then ready for use by other Openclaw Skills or human inspection.
Video Frames (ffmpeg) Setup
To use this skill, ensure that ffmpeg is installed on your system. For macOS users, this can be done via Homebrew:
brew install ffmpeg
To capture the very first frame of a video, use the following command structure:
./scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg
To capture a frame at a specific time (e.g., 10 seconds in):
./scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg
Video Frames (ffmpeg) Data Schema & Taxonomy
| Component | Description |
|---|---|
| Source Video | Accepts various formats including .mp4, .mov, and .mkv. |
| Output Format | Supports .jpg for compressed thumbnails and .png for high-fidelity frames. |
| Timestamping | Uses the standard HH:MM:SS format for precise frame seeking. |
| Integration | Outputs standard image files compatible with most Openclaw Skills pipelines. |
Video Frames (ffmpeg) Advanced Features
- Precision seeking using the --time flag for frame-accurate extraction.
- Support for lossless PNG output for detailed UI and UX analysis.
- Lightweight bash script wrapper for easy integration into larger automation scripts.
- Seamless compatibility with the broader suite of Openclaw Skills for AI-driven media analysis.
SKILL.md
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