video-understand

Analyze video content to extract scenes, actions, and summarized timelines.

1|Updated Aug 3, 2025
One-click install
npx skills add https://github.com/eesha000009-dev/Exam-Prep100 --skill video-understand-eesha000009-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-understand
Source: https://github.com/eesha000009-dev/Exam-Prep100/tree/main/skills/video-understand
Command: npx skills add https://github.com/eesha000009-dev/Exam-Prep100 --skill video-understand-eesha000009-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Many videos contain important visual and temporal information that is difficult and time-consuming to extract manually; this Skill automates understanding, summarization, and event detection from video content so teams can quickly index, moderate, and analyze footage.

Core Features & Use Cases

  • Scene and Event Summarization: Produce chronological summaries of key scenes and events with approximate timestamps.
  • Action & Motion Detection: Identify and describe actions, movement patterns, and tracked objects across frames.
  • Timeline & Transcript-like Visual Descriptions: Create time-based narratives or visual transcripts for accessibility and indexing.
  • Batch Processing & Integration: Process multiple videos in sequence, integrate with backend APIs (Express/Next.js), and use thinking mode for deep temporal reasoning.
  • Use Case Example: Generate a study guide from a recorded lecture, extract highlights from sports footage, or moderate uploaded user videos for policy compliance.

Quick Start

Analyze this video URL and provide a chronological summary of main events, people, and actions with approximate 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 scene descriptions and timestamps from MP4 or WebM videos?

To extract scene descriptions and timestamps from MP4 or WebM videos, use automated video analysis tools that process visual content chronologically. This Skill applies frame sampling and vision SDK integration to generate summarized events with approximate timestamps for common video formats.

What is visual timeline extraction and how does it work for video indexing?

Visual timeline extraction creates time-based narratives or visual transcripts for accessibility and indexing. It works by sampling video frames, detecting temporal sequences and actions, and mapping events to a chronological timeline for quick indexing.

Can I use z-ai-web-dev-sdk to moderate uploaded user videos for policy compliance?

Yes, you can use z-ai-web-dev-sdk to moderate uploaded user videos for policy compliance. By processing video URLs or local file paths through createVision calls, the system detects actions and scenes to help teams analyze footage.

How do I generate a study guide from a recorded lecture video?

To generate a study guide from a recorded lecture video, provide the video URL or local file path to a video summarization tool. The system extracts key scenes, educational events, and chronological summaries to produce a searchable visual transcript.

Does video action detection support long videos with frame sampling?

Yes, video action detection supports long videos with frame sampling or chunking. This approach processes extended footage by breaking it into segments, allowing the vision SDK to detect movement patterns and tracked objects across frames.