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videodb

Index video content for search and retrieval across local files and live streams.

Updated Mar 31, 2026
Search Tags:#timeline#indexing#search#video#streaming#memory#ai-pipelines
One-click install
npx skills add https://github.com/GGEdu/claude-god-mode-template --skill videodb-ggedu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/GGEdu/claude-god-mode-template/tree/main/skills/videodb
Command: npx skills add https://github.com/GGEdu/claude-god-mode-template --skill videodb-ggedu

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

VideoDB centralizes the complex tasks of ingesting, indexing, editing, and streaming video content. It enables search across spoken words and visual scenes, non-destructive timeline composition, and AI-generated media pipelines at scale.

Core Features & Use Cases

  • End-to-end indexing of audio and visuals to power semantic search and precise clip extraction.
  • AI-assisted timeline editing and media generation to produce subtitles, overlays, and ready-to-publish streams.
  • On-demand streaming with persistent memory for auditable workflows, highlights, and summaries.
  • Common use cases include meeting recap, highlight reels, and social-ready video assets.

Quick Start

Install and configure VideoDB, then run the built-in quick-start workflow to initialize a sample project.

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 inside a video file?▼

To index and search spoken words in a video, the Skill applies end-to-end audio and visual indexing to enable fast semantic search and precise clip extraction across your video content.

Can I stream live capture sessions and build searchable memories from them?▼

Yes, you can ingest live streams and capture sessions to build searchable memories and timelines, applying AI-powered indexing to both spoken words and visual scenes for on-demand streaming.

How does AI-assisted timeline editing work for highlight reels?▼

AI-assisted timeline editing works by performing non-destructive composition on indexed video content, allowing you to generate subtitles, overlays, and ready-to-publish highlight reels from your media.

What's the best way to extract meeting recaps from recorded video?▼

The best way to extract meeting recaps is to ingest recordings and leverage AI-powered indexing with persistent memory, allowing you to search scenes and spoken words to produce auditable summaries and highlights.

Do I need python-dotenv to configure video indexing and streaming workflows?▼

Yes, python-dotenv is required as a dependency to configure your environment variables before initializing the video indexing, transcoding, and on-demand streaming workflows.

Does server-side transcoding support local video files and social-ready assets?▼

Yes, server-side transcoding supports ingesting local files to build searchable timelines, applying AI indexing and memory persistence to produce ready-to-publish streams and social-ready video assets.

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