Is a separate API key required to use VideoDB?

Yes, you need a VIDEO_DB_API_KEY from console.videodb.io. The skill is designed to read this key from your environment or a .env file automatically.

Does it support real-time monitoring?

Yes, it can connect to live RTSP streams or desktop sessions to provide real-time context, summaries, and alerts based on specific visual or spoken triggers.

How does the video search functionality work?

It builds visual, spoken word, and semantic indexes for your videos. You can then query the video using natural language to find exact moments, which are returned with playable evidence links and timestamps.

Can I use this skill to automate video editing?

Yes. The skill supports timeline operations including burning in subtitles, adding text or image overlays, mixing audio, and reframing videos for different aspect ratios like 9:16 for mobile.

What media sources does the VideoDB skill support?

The VideoDB skill can ingest media from local file paths, public URLs (including YouTube), RTSP live feeds, and real-time desktop capture sessions on macOS.

VideoDB AI Media Intelligence

Name: VideoDB AI Media Intelligence
Author: hieuck

byhieuck

0•

Ciencia de Datos y ML

Perceives, searches, and edits video and audio content using advanced semantic indexing and programmatic timeline tools.

The VideoDB skill empowers Claude to interact with video and audio data as a first-class citizen. It provides a comprehensive suite for media ingestion (URLs, local files, or RTSP), deep indexing (visual, spoken, and semantic), and precise moment retrieval via timestamped search. Beyond analysis, the skill enables programmatic video editing, allowing users to automate the generation of subtitles, overlays, and transitions. It is particularly useful for developers building AI-driven media workflows, automated content summarization tools, or real-time monitoring systems that require visual and auditory perception.

Características Principales

01Programmatic timeline editing for subtitles, branding, and audio overlays

02Automated transcoding, reframing, and asset generation for social media and web

03Deep semantic search across spoken words and visual scenes with precise timestamps

040 GitHub stars

05Real-time event monitoring and alerts for live streams and desktop sessions

06Multimodal ingestion from local files, YouTube, RTSP feeds, and desktop captures

Casos de Uso

01Automating social media content production through programmatic editing and reframing

02Creating real-time monitoring alerts for specific visual or audio events in live feeds

03Building searchable video libraries with automated clipping and summarization

Características Principales

01Programmatic timeline editing for subtitles, branding, and audio overlays

02Automated transcoding, reframing, and asset generation for social media and web

03Deep semantic search across spoken words and visual scenes with precise timestamps

040 GitHub stars

05Real-time event monitoring and alerts for live streams and desktop sessions

06Multimodal ingestion from local files, YouTube, RTSP feeds, and desktop captures

Casos de Uso

01Automating social media content production through programmatic editing and reframing

02Creating real-time monitoring alerts for specific visual or audio events in live feeds

03Building searchable video libraries with automated clipping and summarization