video-understand

Extract structured insights, event timelines, and scene descriptions from video files.

1|Updated May 1, 2026
One-click install
npx skills add https://github.com/e2662020/QuickMovie --skill video-understand-e2662020
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-understand
Source: https://github.com/e2662020/QuickMovie/tree/main/skills/video-understand
Command: npx skills add https://github.com/e2662020/QuickMovie --skill video-understand-e2662020

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manually analyzing video content to extract events, actions, scenes, and key insights is extremely time-consuming and prone to human error, especially when handling large volumes of video material for content management, moderation, or analysis purposes.

Core Features & Use Cases

  • Video Scene Understanding: Automatically describe video content, identify key scenes, characters, and settings.
  • Action & Motion Detection: Recognize and describe actions performed by people or objects across video frames.
  • Temporal Sequence Analysis: Extract chronological event timelines and identify cause-and-effect relationships between video events.
  • Use Case: A media team with hundreds of user-uploaded videos can use this skill to automatically generate content summaries, tags, and moderation flags to streamline their content review and cataloging workflow.

Quick Start

Use the video-understand skill to analyze the video at 'https://example.com/company-training.mp4' and generate a structured summary of all key learning points and actions shown in the video.

Frequently Asked Questions about video-understand

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

FAQPage Schema
How do I extract event timelines and scene descriptions from raw video content?

To extract event timelines and scene descriptions from raw video content, you can apply automated video understanding to process MP4 and MOV formats. This approach identifies key scenes and chronological events without manual frame-by-frame review.

Does video analysis support batch processing for user-uploaded MP4 and AVI files?

Yes, video analysis supports batch processing for user-uploaded MP4 and AVI files. Media teams can automatically generate content summaries, tags, and moderation flags for large volumes of video material to streamline cataloging workflows.

What is the best way to automate content moderation for large volumes of video material?

Automating content moderation for large volumes of video material is achievable through automated video analysis. It automatically generates moderation flags and content summaries, preventing manual review bottlenecks and reducing human error.

How does temporal sequence analysis identify cause-and-effect relationships in video events?

Temporal sequence analysis identifies cause-and-effect relationships in video events by extracting chronological timelines across video frames. It applies configurable thinking modes for complex temporal reasoning to map action progression.

Can I use z-ai-web-dev-sdk to recognize actions across common video formats?

Yes, you can use z-ai-web-dev-sdk to recognize actions across common video formats. The backend package processes MP4, AVI, and MOV files via vision API calls to detect and describe actions performed by people or objects.

What are the limitations of automated video summarization for educational content?

Automated video summarization for educational content requires the z-ai-web-dev-sdk backend package to process formats via vision API calls. It relies on automated extraction, so complex temporal reasoning depends on configurable thinking modes.