newton-activity-monitor-lens-on-video

Analyze uploaded videos with Newton's activity monitor lens via SSE streaming.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-activity-monitor-lens-on-video
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: newton-activity-monitor-lens-on-video
Source: https://github.com/archetypeai/newton-earthquake-demo/tree/main/.claude/skills/newton-activity-monitor-lens-on-video
Command: npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill newton-activity-monitor-lens-on-video

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze uploaded video files using Newton's activity monitor lens. Server reads the video via video_file_reader and streams results via SSE. Use for batch video analysis, activity detection, or temporal event extraction from video files. NOT for live webcam — use /camera-frame-analysis for that.

Core Features & Use Cases

  • Server-side batch video analysis with a dedicated lens
  • SSE streaming of inference results for real-time monitoring
  • Flexible model parameters and video input configurations

Quick Start

Upload a video file to the Archetype AI platform and start server-side processing to receive streamed results via SSE.

Frequently Asked Questions about newton-activity-monitor-lens-on-video

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

FAQPage Schema
How do I extract activity patterns from uploaded video files?

You can extract activity patterns by running uploaded video files through Newton's activity monitor lens, which processes the video server-side and streams inference results via SSE for batch analysis and temporal event extraction.

Can I use the Newton activity monitor lens for live webcam analysis?

No, the Newton activity monitor lens is not suitable for live webcam analysis. It is specifically built for server-side batch processing of pre-recorded video files, streaming results via SSE.

What server environment is required for batch video analysis with SSE streaming?

Batch video analysis requires a server-side environment that supports a video_file_reader component, SSE streaming capabilities, and a configurable lens pipeline to process uploaded videos and output real-time inference results.

Does the video activity detection tool support configurable model parameters?

Yes, the server-side video analysis pipeline supports flexible model parameters and video input configurations, allowing you to adjust the lens pipeline before processing uploaded video files and streaming results via SSE.

What is the best way to detect temporal events in pre-recorded videos?

The best way to detect temporal events in pre-recorded videos is to upload the files to a server running Newton's activity monitor lens, which streams temporal event extraction results via SSE during batch processing.

When should I avoid using batch video analysis for activity detection?

You should avoid using this batch video analysis approach for live webcam feeds or real-time camera frame analysis, as it is strictly designed for processing pre-recorded video files uploaded to a server.