Skill UI

This guide provides a comprehensive, environment-aware setup for Sentry in local development workflows. It details how to correctly route development events to separate DSNs, enable verbose debugging, and maximize data capture rates (e.g., setting sample rates to 1.0). Users learn to use `startSpan` for performance profiling and ensure that sensitive credentials are safely managed outside of source control.

VideoDB ingests files, URLs, RTSP feeds, or desktop captures to build searchable visual and spoken indexes, edit timelines with overlays/subtitles, generate media, and emit realtime alerts for monitoring workflows.

This skill provides comprehensive integration for TP-Link Tapo cameras (models like C200, C310, etc.). It supports streaming via RTSP and ONVIF protocols, allowing users to discover cameras on the network, capture motion-triggered video clips, and maintain stable live video feeds. Setup requires basic network credentials and Python environment setup.

This utility enables multi-camera streaming by converting standard camera protocols (RTSP, RTMP, HTTP) into low-latency WebRTC streams using the go2rtc sidecar. It is essential for building real-time surveillance dashboards, live video monitoring systems, or integrating diverse IP cameras into a single web interface.