Video Frame Extractor

    by Edric Vale

    1

    Pull stills and short clips from videos with ffmpeg behind a thin wrapper: sample frames at intervals, grab an exact frame at a timestamp, build contact sheets,

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Create a 4-column contact sheet for movie.mp4 taking a frame every 10 seconds and save it as grid.jpg.

    Your agent does

    Running: vidframes sheet movie.mp4 --cols 4 --every 10s --out grid.jpg Source: 1080p, 00:02:30 duration. Result: grid.jpg generated with 15 frames (4x4 grid).

    What you get

    Create preview contact sheets for large video libraries.Extract exact frame timestamps for high-resolution thumbnails.Convert video segments to high-quality GIFs for documentation.Batch process directory folders to generate uniform video samples.

    About this skill

    The problem

    Manually extracting frames or creating preview grids with raw ffmpeg commands is error-prone and requires memorizing complex filter syntax. Developers often waste time troubleshooting timestamp offsets or incorrect GIF palette generation.

    What it does

    • Extracts high-quality stills at precise timestamps for thumbnails.
    • Generates automated contact sheets and preview grids at set intervals.
    • Converts video segments into optimized GIFs using two-pass palette generation.
    • Performs batch processing across multiple directories to standardize preview assets.
    • Cuts short video clips while maintaining source codec settings.

    Frameworks & tools

    This skill requires ffmpeg and the vidframes Python CLI wrapper.

    Why this beats prompting it yourself

    Instead of wrestling with -vf fps=1/N or -ss positioning issues, you use a declarative CLI syntax. It handles the underlying filter graphs for complex tasks like tiled contact sheets and high-quality GIF dithering that standard LLM prompts often hallucinate.

    Use cases

    • Generating 4x4 preview grids for video library management.
    • Automating thumbnail extraction for CMS uploads.
    • Creating lightweight GIFs for PR descriptions or documentation.
    • Batch processing raw footage into 5-second interval samples for review.

    Known limitations

    Not suitable for DRM-protected content or complex timeline editing with audio transitions. GIF files may become excessively large for segments longer than 8 seconds.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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