ai-video-understanding

Extract structured information from videos using multimodal AI models.

3|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/ai-enhanced-engineer/aiee-skills --skill ai-video-understanding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-video-understanding
Source: https://github.com/ai-enhanced-engineer/aiee-skills/tree/main/skills/ai-video-understanding
Command: npx skills add https://github.com/ai-enhanced-engineer/aiee-skills --skill ai-video-understanding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google.generativeai, instructor, anthropic, ffmpeg, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you efficiently extract and process structured information from video content, simplifying tasks like video analysis, report generation, and visual inspections.

Core Features & Use Cases

  • Multimodal AI Analysis: Utilizes Gemini, GPT-4o, and Claude to extract structured information from video.
  • Frame Sampling Strategies: Offers guidelines for frame sampling for different tasks and accuracy levels.
  • Cost Optimization Techniques: Provides strategies for reducing the cost of video analysis.
  • Use Case: Use this Skill to analyze a video and generate a structured report detailing scene types, detected objects, and other key information.

Quick Start

Analyze the video 'project_video.mp4' and generate a report using the ai-video-understanding skill.

Frequently Asked Questions about ai-video-understanding

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

FAQPage Schema
How do I extract structured data from video content using multimodal AI?

This Skill extracts structured information from video content by applying frame sampling techniques and processing the frames with multimodal AI models like Gemini, GPT-4o, and Claude.

What is the best way to optimize costs for video analysis with multimodal models?

The best way to optimize costs for video analysis is to apply specific frame sampling strategies tailored to your accuracy goals, reducing the total number of frames sent to multimodal AI models.

Can I use GPT-4o, Gemini, and Claude for generating video analysis reports?

Yes, you can use GPT-4o, Gemini, and Claude for generating video analysis reports, which detail scene types, detected objects, and other key information extracted from the sampled frames.

Do I need ffmpeg to process video analysis tasks with multimodal AI?

Yes, you need ffmpeg to process video analysis tasks because it handles the video processing and frame extraction required before applying multimodal AI models for structured data extraction.

When should I use frame sampling techniques for video analysis?

You should use frame sampling techniques for video analysis when you need to balance analysis accuracy against computational cost, allowing multimodal AI models to process video content efficiently.