Ingest, index, search, and stream video with Python and VideoDB.
npx skills add https://github.com/Jamkris/everything-gemini-code --skill videodb-jamkris
Please help me install this Agent Skill. Skill: videodb Source: https://github.com/Jamkris/everything-gemini-code/tree/main/skills/videodb Command: npx skills add https://github.com/Jamkris/everything-gemini-code --skill videodb-jamkris
Video content is hard to find and reuse across long recordings. This Skill provides perception, memory, and action pipelines to ingest, index, search, and stream video and live data.
Install VideoDB, configure your API key, and run a quick workflow to ingest, index, and search video content.
High-intent search queries and answers about installing and using this skill.
To search video content for specific spoken words or visual scenes, you can ingest files or live streams into a centralized memory that indexes spoken words and visual scenes. This enables fast retrieval using semantic and keyword search with timestamps, clips, and transcripts. Server-side processing handles the indexing and transcoding.
Yes, you can ingest live RTSP or RTMP streams into a searchable video memory. The pipeline supports RTSP/RTMP ingestion and desktop capture, routing live data into a centralized, indexed collection for real-time transcription, visual and audio indexing, and immediate retrieval.
The best way to compile video clips and highlights across long recordings is to use non-destructive timeline editing with server-side transcoding. This approach allows you to compose playable streams on-demand from indexed video segments, avoiding manual scrubbing and exporting.
Yes, you need a Python runtime and a VideoDB API key to process live video captures. The Skill relies on this environment to execute ingestion, run indexing workflows, and communicate with server-side processing for transcription and transcoding.
Real-time transcription and visual indexing for streaming video work by capturing live data feeds and sending them to server-side processing. The system automatically indexes spoken words and visual scenes as they arrive, creating a searchable timeline of events that can trigger alerts or compile highlights.
Server-side transcoding for on-demand video streaming requires continuous API connectivity and depends on server-side processing capacity. While it enables instant stream compilation from non-destructive timelines, local processing is not supported, meaning all indexing and transcoding must occur on the remote server.
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