videodb

Ingest, index, and stream video and audio via the VideoDB SDK.

116|8|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/video-db/skills --skill videodb-video-db
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/video-db/skills/tree/main/python
Command: npx skills add https://github.com/video-db/skills --skill videodb-video-db

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

VideoDB provides an end-to-end SDK to ingest, index, and act on video and audio data from local files, URLs, RTSP/live streams, or desktop capture so AI agents can derive context, make decisions, and trigger actions.

Core Features & Use Cases

  • Ingest and stream: capture desktop, ingest media from URLs and local files, and return playable stream links.
  • Indexing & search: build spoken-word and scene indexes for fast semantic or keyword search.
  • Timeline edits & assets: perform transcode, subtitles, overlays, and generate media assets for pipelines and productions.

Quick Start

Install the VideoDB SDK, connect to a collection, index media, and generate streams.

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I index spoken words and scenes in a video for semantic search?

To index spoken words and scenes in a video for semantic search, you can use the VideoDB SDK to ingest media from URLs or local files and build spoken-word and scene indexes, enabling fast keyword or semantic search across your content.

Can I ingest and process live RTSP streams for real-time AI alerts?

Yes, you can ingest and process live RTSP streams for real-time AI alerts. The SDK supports capturing from desktop, live streams, and on-demand media, applying AI pipelines to trigger real-time alerts and produce searchable context.

How do I transcode and edit video timelines programmatically?

You can transcode and edit video timelines programmatically by using the SDK-driven workflow to apply transcodes, generate subtitles, add overlays, and produce media assets for pipelines and productions.

Does this video processing workflow require Python environment variables?

Yes, this video processing workflow requires Python environment variables. The Skill depends on python-dotenv to manage configurations, ensuring robust error handling and safety when connecting to collections and uploading media.

What is the best way to make video content searchable for AI agents?

The best way to make video content searchable for AI agents is to apply AI pipelines that ingest and index video and audio data, producing playable streams and searchable context from diverse sources like local files and live streams.