video-thumbnail-extractor

Extract video frames at timestamps or intervals and generate thumbnail grids.

86|18|Updated Dec 14, 2025
One-click install
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill video-thumbnail-extractor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-thumbnail-extractor
Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/video-thumbnail-extractor
Command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill video-thumbnail-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires moviepy, pillow, numpy, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of extracting specific frames or creating visual previews from video files, saving time on manual frame selection and thumbnail generation.

Core Features & Use Cases

  • Frame Extraction: Extract single frames at precise timestamps or at regular intervals.
  • Thumbnail Grids: Generate contact sheet-style previews from multiple frames.
  • Use Case: Quickly create a series of preview images for a long video lecture, or extract a key frame for a presentation slide.

Quick Start

Use the video thumbnail extractor skill to extract a frame from 'my_video.mp4' at the 30-second mark and save it as 'preview.jpg'.

Frequently Asked Questions about video-thumbnail-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract frames from a video at specific timestamps?

To extract frames from a video at specific timestamps, you provide the video file and the exact time markers. The tool processes the video and saves the captured frames as separate preview images in formats like PNG or JPG.

Can I generate a thumbnail grid from multiple video frames?

Yes, you can generate a thumbnail grid from multiple video frames. The tool creates contact sheet-style previews by extracting frames at regular intervals and compiling them into a single visual summary image.

Does moviepy work with Pillow and NumPy for video preview generation?

Yes, moviepy works with Pillow and NumPy for video preview generation. The process utilizes moviepy for video manipulation, NumPy for array processing, and Pillow for image processing to extract and save frames.

What is the best way to automate frame extraction for long video files?

The best way to automate frame extraction for long video files is using batch processing. The process automates the extraction of frames at specified intervals, saving time on manual frame selection for lengthy lecture videos.

What output formats are supported when saving extracted video frames?

Supported output formats when saving extracted video frames include PNG and JPG. The process handles the specified video files and exports the selected frames in these standard image formats for previews or presentation slides.

Why use a video frame extractor instead of manual screenshot capture?

You use a video frame extractor instead of manual screenshot capture to automate frame selection at precise timestamps. This ensures accurate frame extraction and batch processing for generating consistent thumbnail grids.