video-frames

Extract and analyze video frames using ffmpeg, ffprobe, and Pillow.

3|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill video-frames-thearchitectit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-frames
Source: https://github.com/TheArchitectit/awesome-cline-skills/tree/main/skills/video-frames
Command: npx skills add https://github.com/TheArchitectit/awesome-cline-skills --skill video-frames-thearchitectit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, ffprobe, Pillow.

What problem does it solve?

Manually extracting and analyzing individual frames from video files is tedious and inefficient, especially for tasks like creating previews, detecting scene changes, or preparing visual content for analysis. This skill automates all frame-level video operations, eliminating the need for manual tooling and saving hours of repetitive work.

Core Features & Use Cases

  • Frame Extraction: Pull single or batch frames at specific timestamps or regular intervals from any video file.
  • Visual Asset Generation: Create high-quality thumbnails, sprite sheets, and animated GIF previews for video content.
  • Scene & Content Analysis: Detect scene changes and perform frame-by-frame visual analysis to understand video content over time.
  • Use Case: You have a 90-minute product demo video. Use this skill to extract 1 frame every 30 seconds to generate a contact sheet for quick navigation, and pull key frames from the 5-minute mark where the core feature is demonstrated to use in marketing materials.

Quick Start

Use the video-frames skill to extract a frame every 15 seconds from the file 'product-demo.mp4' and save all extracted frames to a folder named 'demo-frames'.

Frequently Asked Questions about video-frames

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

FAQPage Schema
How do I extract frames from a video at regular intervals using ffmpeg?

Yes, you can generate thumbnails and sprite sheets from video frames. This skill automates image compositing using the Pillow Python library to create contact sheets and visual previews from extracted video frames.

How does scene detection work for frame-by-frame video analysis?

You need ffmpeg, ffprobe, and the Pillow Python library installed to perform video frame extraction. These dependencies handle video metadata parsing, timestamp-based frame extraction, and image compositing without manual tooling.

What is the best way to create a contact sheet for a long product demo video?

Yes, you can create animated GIF previews from video frames. This skill automates visual asset generation by extracting key frames at specific timestamps and compositing them into animated previews for video content.

Can I use ffmpeg to pull a single frame at a specific timestamp for marketing materials?

You should not use this approach if your environment lacks ffmpeg, ffprobe, and the Pillow Python library. Frame extraction, scene detection, and sprite sheet creation depend entirely on these tools to parse video metadata and process images.