video-frames

The video-frames skill provides a command-line interface for the powerful ffmpeg utility, enabling OpenClaw assistants to process and analyze video content directly. This tool is designed for users who need to perform quick visual verification, generate thumbnails for inspection, or extract specific moments from long-form recordings without the overhead of heavy video editing software. By automating frame extraction, it allows your AI assistant to 'see' what is happening in a video, making it an essential utility for research, data analysis, and automated workflows involving media assets.

• Precise frame extraction using specific timestamps or default start-time logic.

• Support for multiple output formats including JPG for lightweight sharing and PNG for high-fidelity UI elements.

• Streamlined integration with existing OpenClaw script execution flows.

• Capable of creating quick clips for short-form content inspection.

• When requesting a frame, provide the file path to the target video and the specific timestamp (e.g., 00:00:10) to ensure accuracy.

• Use JPG format settings for rapid previewing and PNG settings if the output requires crisp, high-resolution details for documentation or UI rendering.

• Ensure ffmpeg is correctly installed and accessible in the system path where the OpenClaw gateway is running.

• The tool is best suited for single-frame snapshots or short interval clips; for heavy video transcoding or multi-hour processing, consider manual batch ffmpeg operations.

• Ideal for developers and power users who need to cross-reference video metadata with AI-driven insights or documentation tasks.