videodb

Ingest videos, transcribe speech, index visuals, and export playable streams.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill videodb-sakamoto-family-smile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/sakamoto-family-smile/agent_monorepo/tree/main/.claude/skills/ecc/videodb
Command: npx skills add https://github.com/sakamoto-family-smile/agent_monorepo --skill videodb-sakamoto-family-smile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

VideoDB provides perception, memory, and action capabilities for video workflows by enabling automated ingestion, transcription, indexing, and streamlined editing and export of AI-enhanced media.

Core Features & Use Cases

  • Ingest media and generate searchable transcripts and scene indexes.
  • Build timelines with overlays and exports for review, archiving, and sharing.
  • Leverage AI-powered analysis to surface key moments and generate summaries for production, analytics, or education.

Quick Start

Ingest a video, index speech and visuals, and generate a searchable stream for quick review.

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I index and transcribe video files for AI-powered search?

Video indexing works by ingesting media through a Python SDK that transcribes speech and indexes visuals on a server. This generates searchable transcripts and scene indexes for quick review and analytics.

Can I build video timelines with overlays and export them as streams?

Yes, you can build video timelines with overlays and export them as playable streams. The skill enables end-to-end timeline editing and streaming exports of AI-enhanced video assets for archiving or sharing.

Does VideoDB support live streaming and real-time context processing?

VideoDB supports live streaming and real-time context processing through WebSocket-based live context and RTStream pipelines. These handle capture sessions to provide continuous streaming and visualization data.

What is the best way to search for specific moments across a large video archive?

The best way to search specific moments is by using AI-powered analysis to surface key moments across a video archive. The skill ingests media, generates searchable transcripts and scene indexes, and enables search across production and archival scenarios.

What do I need to start ingesting and analyzing video media with a Python SDK?

To start ingesting and analyzing video media, you need a Python environment to run the SDK. The skill handles server-side processing for transcoding and indexing without external dependencies, enabling immediate transcription and visual indexing.