Control motorized camera docks and track subjects in iOS camera apps.
npx skills add https://github.com/KumarAdi8/AgentKit --skill dockkit
Please help me install this Agent Skill. Skill: dockkit Source: https://github.com/KumarAdi8/AgentKit/tree/main/skills/dockkit Command: npx skills add https://github.com/KumarAdi8/AgentKit --skill dockkit
DockKit eliminates manual camera re-framing and complex motor control by providing integrated support for motorized iPhone docks, allowing apps to keep faces, bodies, and objects properly framed without bespoke hardware logic.
Enable system tracking, subscribe to accessoryStateChanges to detect a dock, and observe trackingStates to keep subjects framed automatically.
High-intent search queries and answers about installing and using this skill.
Automatic subject tracking for an iOS camera app is implemented using DockKit to discover motorized accessories, enable system tracking, and subscribe to tracking states that keep subjects framed. It provides built-in ML-based face and body detection.
Yes, you can disable system tracking and feed custom Vision or model observations at 10–30 fps to drive motorized docks. This allows bespoke tracking behaviors while using DockKit's angular velocity and orientation APIs.
DockKit requires real device hardware on iOS 17+ for actual motorized tracking, but provides mock accessories and testing strategies for UI development without physical dock hardware.
Available motor control APIs include angular velocity, orientation, framing modes, and region-of-interest. These APIs allow you to implement manual control, panoramas, and animated motions for motorized iPhone docks.
You discover and monitor motorized camera accessories by subscribing to accessoryStateChanges to detect a dock, and using accessory integration APIs to monitor accessory state, physical button events, and battery reporting.
Limitations of DockKit camera tracking include requiring real device hardware on iOS 17+ for actual operation, and needing observation delivery at 10–30 fps for custom tracking modes to function properly.
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