videodb

Index, search, and edit video content with transcripts and scene indexes.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/hieuck/Pro5ChromeManager --skill videodb-hieuck
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/hieuck/Pro5ChromeManager/tree/main/skills/videodb
Command: npx skills add https://github.com/hieuck/Pro5ChromeManager --skill videodb-hieuck

SYSTEM DOCUMENTATION & REQUIREMENTS

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

## What problem does it solve? Video management for long recordings is labor-intensive; users struggle to find moments, summarize discussions, and repurpose footage without AI-assisted tooling.

## Core Features & Use Cases

  • Index spoken words and visuals to enable fast semantic search, recall, and navigation across meetings, lectures, and live streams.
  • Generate transcripts, subtitles, overlays, and timelines, then export or stream clips for sharing, review, or training.
  • Capture and maintain contextual memory from desktop sessions or RTSP streams, enabling real-time alerts and searchable histories.

### Quick Start Connect to VideoDB, index a video, and generate a stream to review results.

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I index and search spoken words in long video recordings?

To index and search spoken words in long video recordings, you can use AI-powered pipelines to generate transcripts and scene indexes, enabling fast semantic search and navigation across meetings and lectures.

Can I generate subtitles and timelines from live streams for repurposing footage?

Yes, you can generate subtitles, overlays, and timelines from live streams using AI indexing, then export or stream the resulting clips for sharing, review, or training purposes.

What is the best way to maintain searchable history from RTSP streams and desktop captures?

The best way to maintain searchable history from RTSP streams and desktop captures is to capture and maintain contextual memory using AI indexing, enabling real-time alerts and searchable session histories.

How do I index a video and generate a stream to review results?

To index a video and generate a stream to review results, connect to a working VideoDB collection with indexing capabilities for spoken words and scenes, then apply the AI pipeline to generate a playable stream.

Do I need a working VideoDB collection before indexing video content?

Yes, you need a working VideoDB collection with indexing capabilities for spoken words and scenes before applying AI pipelines to index, search, and export video content.