A specialized tool for extracting high-quality still frames and thumbnails from video files using ffmpeg.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-frames-automaton
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-automaton 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?
Video Frames is a robust utility designed to bridge the gap between video content and static image analysis. By leveraging the industry-standard ffmpeg engine, this skill allows users to pinpoint specific moments in a video and export them as high-quality image files. It is an essential component of the Openclaw Skills ecosystem for developers needing to generate previews or inspect visual data programmatically.
Whether you need a quick JPEG for social sharing or a lossless PNG for UI inspection, this skill provides a streamlined interface to handle complex video seeking and extraction logic without manual configuration overhead.
Video Frames Use Cases
- Generating video thumbnails for web or mobile applications.
- Extracting specific frames at precise timestamps for visual debugging.
- Automating the creation of preview galleries from large video datasets.
- Capturing high-resolution UI frames for design audits and documentation.
How Video Frames Works
- The skill receives a file path to the target video and optional parameters like timestamp and output path.
- It invokes a localized shell script that interfaces directly with the ffmpeg binary.
- The system seeks to the specified time offset (or defaults to the first frame) to ensure extraction accuracy.
- The frame is rendered into the requested format (.jpg or .png) and saved to the designated output directory.
- Success metadata is returned to the agent to confirm the image generation is complete.
Video Frames Setup
To use this skill, ensure you have ffmpeg installed on your system. You can install the requirements via Homebrew or the integrated Openclaw Skills manager:
# Install ffmpeg using brew
brew install ffmpeg
# Basic frame extraction command
./scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg
Video Frames Data Schema & Taxonomy
The skill manages video inputs and image outputs through a straightforward CLI-based file structure:
| Data Component | Description |
|---|---|
| Input Source | Supported video formats compatible with ffmpeg (mp4, mkv, avi, etc.) |
| Output Format | .jpg for optimized file size, .png for lossless quality |
| Timestamp Logic | Uses the --time flag in HH:MM:SS format for precision seeking |
| Output Path | User-defined destination for the generated image file |
Video Frames Advanced Features
- Precise timestamp seeking using the --time parameter for frame-perfect extraction.
- Multi-format support allowing selection between JPEG for quick sharing and PNG for crisp UI frames.
- Seamless integration with existing Openclaw Skills automation workflows for batch processing.
- Native binary dependency management through Homebrew for simplified environment setup.
SKILL.md
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