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videodb

Analyze videos and monitor RTSP live feeds via the VideoDB API.

Updated Nov 19, 2025
Search Tags:#video analysis#real-time monitoring#AI video processing#desktop capture#video indexing
One-click install
npx skills add https://github.com/Sake-Team/SmartSake --skill videodb-sake-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/Sake-Team/SmartSake/tree/main/backup/skills/videodb
Command: npx skills add https://github.com/Sake-Team/SmartSake --skill videodb-sake-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires videodb, python-dotenv, pynput, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill revolutionizes video content management by providing advanced AI-powered analysis, real-time monitoring, and efficient video processing workflows.

Core Features & Use Cases

  • Video Ingestion: Automatically ingest videos from local files, URLs, RTSP/live feeds, or capture desktop sessions.
  • AI Analysis: Extract frames, build visual/semantic/temporal indexes, and search for moments with timestamps and auto-clips.
  • Video Processing: Transcode, normalize, edit timelines with subtitles, overlays, and audio, and generate media assets.
  • Real-time Monitoring: Connect to RTSP/live feeds and receive alerts for specific events or activity.
  • Use Case: Imagine you need to monitor a live sports event for moments of interest. Use this Skill to capture, analyze, and alert on key moments in real-time.

Quick Start

To start a desktop capture and monitor for the word 'goal' during playback, run: videodb capture --start --monitor "goal" --desktop

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I set up real-time monitoring for an RTSP live feed?▼

Real-time monitoring for an RTSP live feed requires connecting to the stream through a VideoDB API connection. This enables the system to process the live video and trigger alerts for specific events or activity detected during playback.

Can I capture my desktop screen and analyze it for specific keywords?▼

Yes, desktop capture and analysis is supported using Python libraries. You can start a session and monitor the captured video for specific words, such as triggering alerts when a keyword like 'goal' appears during playback.

What video formats and sources can I ingest for AI video processing?▼

AI video processing supports ingesting video content from local files, URLs, RTSP live feeds, and desktop capture sessions. This versatile ingestion allows you to handle various video formats for indexing and analysis.

How does AI video analysis index and search for specific moments?▼

AI video analysis extracts frames to build visual, semantic, and temporal indexes. This allows you to search for specific moments within the video, returning precise timestamps and generating auto-clips of the relevant segments.

Do I need a VideoDB API key to extract frames and generate auto-clips?▼

Yes, a connection to a VideoDB API is required for AI analysis and real-time alerts. This API connection handles the underlying extraction of frames, video indexing, and the generation of auto-clips.

What is the best way to edit video timelines and add overlays programmatically?▼

Editing video timelines with overlays, subtitles, and audio is handled through the provided Python libraries. This allows you to programmatically transcode, normalize, and generate media assets from the ingested video content.

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