Load WaymoWatch project context for TfL JamCam detection and VPS operation.
npx skills add https://github.com/hdonovan42/H --skill waymowatch
Please help me install this Agent Skill. Skill: waymowatch Source: https://github.com/hdonovan42/H/tree/main/.claude/skills/waymowatch Command: npx skills add https://github.com/hdonovan42/H --skill waymowatch
The WaymoWatch Skill loads the full project context for Waymo detection from TfL JamCams, enabling autonomous, 24/7 operation within a controlled VPS loop and real-data training workflow.
Start the WaymoWatch context loader and run the startup checks to verify live status and readiness.
High-intent search queries and answers about installing and using this skill.
You can operate a live Waymo detection loop on a VPS by loading the WaymoWatch project context, which provides a guided operational workflow for live-capture, data pipelines, and training integration across remote environments.
Live VPS operation works by running a controlled 24/7 loop that continuously captures TfL JamCam data, processes it through the detection workflow, and feeds results into the real-data training pipeline.
The best way to bootstrap and monitor the data pipeline is using the WaymoWatch context loader as a reusable entry point, which initializes status reporting, operational commands, and the 24/7 detection lifecycle.
Yes, you can integrate real-data training workflows with live TfL JamCam capture by following the guided operational workflow provided when the WaymoWatch project context loads.
The WaymoWatch detection loop is designed for autonomous 24/7 operation within a controlled VPS loop, though the guided workflow supports orchestration across both local and remote environments.
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