video-understand

Name: video-understand
Availability: InStock
Author: Marktantongco

Analyze video files to extract temporal events, scene descriptions, actions, and summaries.

2|Updated Mar 31, 2026

Search Tags:#video #moderation #vision #video-analysis #z-ai-web-dev-sdk #action-detection #timeline-extraction

Ready to run

npx skills add https://github.com/marktantongco/promptc-os --skill video-understand-marktantongco

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-understand
Source: https://github.com/marktantongco/promptc-os/tree/main/skills/video-understand
Command: npx skills add https://github.com/marktantongco/promptc-os --skill video-understand-marktantongco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

Many teams lack an automated way to extract chronological events, actions, scene descriptions, and concise summaries from raw video files, forcing time-consuming manual review and slowing content workflows.

Core Features & Use Cases

Scene and event summarization: Produce chronological summaries with approximate timestamps for lectures, meetings, documentaries, and recordings.
Action and motion detection: Identify and describe actions performed by people or objects across frames for sports analysis, surveillance, or research.
Batch processing, moderation, and classification: Generate metadata, tags, safety assessments, and quality scores at scale for video libraries and pipelines.
Example: Generate a study guide from a recorded lecture by extracting segment summaries, key concepts, and visual cues.

Quick Start

Analyze the video at https://example.com/meeting.mp4 and provide a chronological summary of key events, actions, and timestamps.

Frequently Asked Questions about video-understand

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

FAQPage Schema

How do I extract a chronological timeline of events from an MP4 video?▼

Video analysis tools extract temporal events, scene descriptions, and concise summaries from video files like MP4 and WebM. They process video URLs to generate chronological timelines with approximate timestamps, actions, and key visual cues for lectures or meetings.

Can I automate action detection and scene summarization for video moderation?▼

Yes, you can automate action detection and scene summarization for video moderation by processing video files. The system identifies actions across frames and generates metadata, safety assessments, and quality scores at scale for batch processing video libraries.

Does this video analysis approach support streaming outputs and JSON responses?▼

Yes, this video analysis approach supports streaming outputs and JSON or text responses for downstream pipelines. It uses backend SDK integration with video URLs and supports thinking-mode for complex temporal reasoning during scene understanding.

What is the best way to generate a study guide from a recorded lecture video?▼

The best way to generate a study guide from a recorded lecture is to run video analysis to extract segment summaries, key concepts, and visual cues. This produces a chronological breakdown of the lecture content with approximate timestamps.

Do I need a publicly accessible video URL to perform timeline extraction?▼

Yes, you need a publicly accessible video URL to perform timeline extraction because the backend SDK integration processes video_url content directly. Supported formats include MP4, AVI, MOV, and WebM for extracting temporal events and actions.