video-understand

Analyze videos to extract scenes, actions, and timelines from video URLs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Pritahi/chronos-watches --skill video-understand-pritahi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-understand
Source: https://github.com/Pritahi/chronos-watches/tree/main/skills/video-understand
Command: npx skills add https://github.com/Pritahi/chronos-watches --skill video-understand-pritahi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Video content often contains complex scenes and actions that are time-consuming to analyze manually. This Skill provides automated understanding and description of video content, including scenes, actors, actions, and events, saving time and enabling quick decision-making.

Core Features & Use Cases

  • Video scene understanding and description
  • Action and motion detection
  • Temporal sequence extraction and event timeline
  • Visual content summarization
  • Cross-frame tracking for context-aware analysis
  • Suitable for educational videos, sports footage, media reviews, and surveillance (where allowed)

Quick Start

Provide a rapid video understanding analysis for a given video URL by describing scenes, actions, and key moments.

Frequently Asked Questions about video-understand

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

FAQPage Schema
How do I extract scenes and actions from a video for timeline analysis?

You can extract scenes, actions, and event timelines by providing a video_url to the video-understand Skill. It performs cross-frame tracking and visual content summarization to detect temporal sequences.

What is automated video scene detection and how does it work?

Automated video scene detection analyzes footage to identify distinct scenes, actors, and actions without manual review. It uses cross-frame tracking to generate descriptions and context-aware event timelines.

Can I use the z-ai-web-dev-sdk to analyze sports footage and detect events?

Yes, the Skill satisfies backend usage with the z-ai-web-dev-sdk to analyze sports footage. It detects actions, extracts temporal sequences, and generates event timelines for rapid review.

How do I generate text descriptions for educational video content?

You can generate text descriptions for educational videos by passing the video_url to this Skill. It provides automated scene understanding, action detection, and visual content summarization.

Does the video analysis Skill support complex reasoning modes?

Yes, the video analysis Skill supports thinking modes for complex reasoning. This allows it to handle cross-frame tracking and context-aware analysis for intricate video content.

What are the limitations of automated video content analysis?

Automated video content analysis requires a valid video_url and depends on the z-ai-web-dev-sdk. It is designed for scenes, actions, and timelines, but may not capture subtle contextual nuances without complex reasoning modes.