video-frames

What This Skill Does

The video-frames skill is a specialized utility for the OpenClaw AI agent that leverages the powerful ffmpeg framework to perform precise video processing tasks. At its core, this skill enables the agent to interact with video files by extracting specific visual snapshots. Whether you need to grab a single frame from a precise millisecond, generate a representative thumbnail for a folder, or perform visual inspection of a video file, this tool bridges the gap between raw video files and actionable visual data. By wrapping complex ffmpeg commands into a simple, high-level interface, it allows the AI to handle visual extraction without requiring the user to master manual command-line video editing tools.

Installation

To integrate this functionality into your environment, use the OpenClaw CLI. Ensure your environment has the necessary ffmpeg dependencies installed on the underlying host system, as the skill acts as an orchestrator for those binaries.

Run the following command in your terminal: clawhub install openclaw/skills/skills/steipete/video-frames

Use Cases

• Visual Documentation: Automatically capture frames from training videos or meetings to include in summaries.
• Quality Control: Extract frames at set intervals from long surveillance or test recordings to inspect for specific events.
• Asset Generation: Quickly generate thumbnail previews for a repository of video files to improve organizational workflows.
• Visual Analysis: Provide the AI with specific frames to analyze the content of a video, such as detecting objects or reading text overlaid on the screen.

Example Prompts

1. "Look at the video file at /data/demo.mp4 and extract a clear thumbnail at the 5-second mark to use as a preview image."
2. "Can you grab a frame from my meeting recording at 00:02:30 so I can see what was on the screen during the presentation? Save it as a PNG in the current directory."
3. "Please iterate through the video /uploads/training.mp4 and extract a frame every 10 seconds to help me summarize the content."

Tips & Limitations

When using video-frames, keep in mind that performance depends on the file size and the encoding of the source video. High-resolution 4K files may take longer to process than standard 1080p footage. Always prefer the --time flag to narrow down the scope of processing, which reduces wait times and file system clutter. If you are preparing images for a UI, use .png to maintain image fidelity, whereas .jpg is superior for rapid sharing where file size is a concern. Remember that this skill focuses on extraction; it does not perform video editing or re-encoding. Ensure the agent has read permissions for the target video directory and write permissions for the output directory to prevent execution failures.