videodb

Index, search, and stream video content from files, URLs, and live feeds.

1|1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/zardusai-cyber/zardus_setup --skill videodb-zardusai-cyber
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/zardusai-cyber/zardus_setup/tree/main/ecc/skills/videodb
Command: npx skills add https://github.com/zardusai-cyber/zardus_setup --skill videodb-zardusai-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

VideoDB unifies ingestion, indexing, search, and streaming of video and audio content, turning sprawling media libraries into organized, searchable knowledge.

Core Features & Use Cases

  • Ingest from local files, URLs, RTSP/live feeds, or desktop capture and create multi-dimensional indexes (spoken words, visuals, and audio) for fast retrieval.
  • Build sharable streams and clips by compiling search results, timelines, or edited assets directly into playable streams.
  • Automate media workflows with OpenAI-style prompts, subtitles, and timeline editing, enabling rapid production of highlight reels, summaries, and evidence-based records.

Quick Start

Run a sample pipeline to ingest a video, index its content, and generate a searchable stream.

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 video content with AI?

AI video search works by ingesting files, URLs, or live feeds and building multi-dimensional indexes for spoken words, visuals, and audio. You query these indexes to retrieve exact moments and compile results into playable streams.

Can I ingest and index live RTSP feeds for real-time video search?

Yes, you can index live RTSP feeds for real-time video search. The system ingests streams and desktop captures alongside local files and URLs, applying multi-faceted indexing to make live content searchable immediately.

How do I stream video clips compiled from search results?

You stream video clips by compiling search results, timelines, or edited assets directly into playable streams. Server-side transcoding and subtitles are applied to generate sharable streams from your compiled footage.

What is the best way to create highlight reels from large video libraries?

Creating highlight reels from large video libraries is best done by searching multi-faceted indexes and using timeline editing to compile results. You can automate media workflows with OpenAI-style prompts to rapidly produce summaries and streams.

Does video indexing handle spoken words and visual content simultaneously?

Yes, video indexing handles spoken words and visual content simultaneously. The system creates multi-dimensional indexes covering audio, visuals, and spoken words to ensure comprehensive search and retrieval across all media dimensions.

What are the limitations of server-side transcoding for streamed video clips?

Server-side transcoding for streamed video clips requires robust error handling across capture, indexing, and streaming paths. While it compiles search results into playable streams, processing limitations may arise depending on live feed stability and ingest volume.