Enables Claude to analyze video content by automatically extracting and sampling frames as viewable images.
The Frames skill bridges the gap between Claude's image-processing capabilities and video file formats by leveraging ffmpeg to convert video streams into sequences of PNG frames. It implements a robust workflow that overcomes common terminal limitations, such as spaces in filenames and quoting issues, allowing Claude to 'watch' videos by sampling evenly spaced frames or specific time ranges. This is essential for tasks requiring visual analysis of screen recordings, UI/UX audits, or video-based data processing within the Claude Code environment.
Key Features
01Smart sampling logic that adjusts based on video length
02Robust file path handling for filenames with spaces and special characters
03Customizable FPS settings and specific time-range extraction
040 GitHub stars
05Automatic frame extraction from MP4, MOV, WEBM, and AVI files
06Frame resizing to optimize processing speed and model context usage
Use Cases
01Extracting specific keyframes from long-form videos for quick visual summaries
02Describing visual content and events within recorded video sessions
03Analyzing UI/UX screen recordings to identify bugs or design inconsistencies
