video-analyzer

Convert local video files into structured Markdown documents via frame extraction and subtitle processing.

1|2|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/gaojesse999/ai-scripts --skill video-analyzer-gaojesse999
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-analyzer
Source: https://github.com/gaojesse999/ai-scripts/tree/main/skills/video-analyzer
Command: npx skills add https://github.com/gaojesse999/ai-scripts --skill video-analyzer-gaojesse999

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencv-python-headless, Pillow, ImageHash, ffmpeg, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of converting local video files into detailed documentation, tutorials, or knowledge summaries.

Core Features & Use Cases

  • Video Analysis: Automatically extracts key frames and subtitles from videos, creating structured documents.
  • Single File Mode: Analyze a single video file to generate a detailed analysis.
  • Directory Mode: Analyze multiple videos in a directory, generating a comprehensive summary.
  • Use Case: Ideal for researchers, educators, and content creators who need to create detailed video analyses or tutorials.

Quick Start

Use the video-analyzer skill to analyze the video at /path/to/your/video.mp4 and generate a Markdown documentation file.

Frequently Asked Questions about video-analyzer

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

FAQPage Schema
How do I convert a local video file into structured documentation?

To convert local video files into structured documentation, this Skill automatically extracts key frames and subtitles to generate a detailed Markdown document. It supports single file analysis for individual videos or directory mode to summarize multiple video files at once.

Can I analyze multiple videos in a directory and generate a single summary?

Yes, you can analyze multiple videos in a directory to generate a comprehensive summary. The directory mode processes all video files within the specified path, extracting frames and subtitles to create consolidated knowledge summaries or tutorials.

Do I need FFmpeg and OpenCV to extract frames and subtitles for video analysis?

Yes, you need FFmpeg, OpenCV, Pillow, and ImageHash installed to extract frames and subtitles for video analysis. These dependencies handle the underlying video processing, frame extraction, and image hashing required to generate structured documentation.

What is the best way to create text tutorials from existing video content?

The best way to create text tutorials from existing video content is by automatically extracting key frames and subtitles. This Skill transforms video processing outputs into structured Markdown documents, making it ideal for educators and content creators needing detailed written tutorials.

Does video frame extraction work with subtitle processing to summarize video tutorials?

Yes, video frame extraction works directly with subtitle processing to summarize video tutorials. By combining visual key frames with text subtitles, the tool generates structured documents that comprehensively summarize the video content for knowledge summarization.