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caovinhphuc
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videodb

Index and search video content from large media libraries.

Updated Aug 27, 2026
Search Tags:#indexing#search#video#streaming#capture#videodb
One-click install
npx skills add https://github.com/caovinhphuc/React-OAS-Integration-v4.0 --skill videodb-caovinhphuc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/caovinhphuc/React-OAS-Integration-v4.0/tree/main/.claude/skills/videodb
Command: npx skills add https://github.com/caovinhphuc/React-OAS-Integration-v4.0 --skill videodb-caovinhphuc

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Video content is often vast and hard to search. This skill centralizes ingestion, AI-driven indexing, and streaming to enable fast discovery, clip generation, and playback from large media libraries.

Core Features & Use Cases

  • Ingest from local files, URLs, RTSP/live feeds, or desktop capture and build searchable transcripts and visual indexes.
  • Index spoken words and visual scenes to support semantic searches, keyword queries, and scene-based retrieval.
  • Generate playable streams and assets (subtitles, overlays, clips) for sharing, analysis, and reporting.

Quick Start

Set up a VideoDB collection, ingest a video from a URL, index spoken words and scenes, run a search, and generate a stream for the results.

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I search video content for specific spoken words or visual scenes?▼

To search video content for specific spoken words or visual scenes, you index spoken words and visual scenes to support semantic searches, keyword queries, and scene-based retrieval from large media libraries.

Can I ingest live RTSP feeds or desktop captures for AI video indexing?▼

Yes, AI video indexing supports ingesting local files, URLs, RTSP live feeds, or desktop captures to build searchable transcripts and visual indexes for your media library.

What's the best way to generate playable clips from large recording libraries?▼

The best way to generate playable clips from large recording libraries is to index spoken words and scenes, run a search, and then generate playable streams and assets like subtitles and overlays for the results.

Do I need backend indexing services to turn broadcasts into searchable knowledge?▼

Yes, turning broadcasts into searchable knowledge requires backend indexing services for spoken word and visual scene data, a streaming endpoint for on-demand playback, and access to a collection API.

How does semantic video search work for meeting recordings and broadcasts?▼

Semantic video search works by indexing spoken words and visual scenes during ingestion, allowing you to run semantic searches and keyword queries to extract specific moments from meeting recordings and broadcasts.

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