videodb

Index and search video and audio content from files, live streams, and screen captures.

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/mitul-bhatia/Vibes --skill videodb-mitul-bhatia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/mitul-bhatia/Vibes/tree/main/.github/skills/videodb
Command: npx skills add https://github.com/mitul-bhatia/Vibes --skill videodb-mitul-bhatia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

VideoDB provides a comprehensive framework to perceive, remember, and act on video, audio, and desktop content by enabling ingestion, indexing, and automated workflows across media assets and live streams.

Core Features & Use Cases

  • Perception: desktop capture, live streaming ingestion, real-time context, and episodic memory entries
  • Indexing & search: spoken-word and visual scene indexing, transcripts, and timestamped search with auto-clips
  • Editing & export: timeline composition, subtitles, overlays, transcoding, and on-demand stream generation for highlights or evidence

Quick Start

Integrate VideoDB into your project by connecting to a collection, indexing media, and generating stream URLs as needed.

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 video files?

Indexing and searching spoken words inside video files is achieved by ingesting media to generate transcripts and timestamped scene data. This enables spoken-word search and auto-clip generation across your media assets.

Can I ingest and index content from live streams in real-time?

Ingesting and indexing live streams is supported for real-time perception and episodic memory entries. The framework captures live streaming content, enabling immediate context extraction and automated workflow triggers.

How do I generate subtitles and edit timelines for video highlights?

Generating subtitles and editing timelines involves composing indexed video scenes and applying overlays. You can transcode media, compile highlight timelines, and export on-demand streams with synchronized subtitles.

Does this video indexing approach require frontmatter metadata and safety checks?

Frontmatter metadata and safety checks are required to ensure reliable, secure integration. The framework enforces these mandatory configurations across media ingestion, transcription, and streaming export pipelines.

What is the best way to search visual scenes and desktop captures for specific content?

Searching visual scenes and desktop captures utilizes visual scene indexing to perceive and remember screen content. The framework applies timestamped indexing to locate exact moments, generating auto-clips for evidence or highlights.

How do I integrate video search and ingestion into existing production pipelines?

Integrating video search into production pipelines requires connecting to a collection, indexing media files, and generating stream URLs. This applies across ingestion, transcription, scene indexing, and streaming exports.