Coordinate motorized camera docks and enable automatic subject tracking in iOS camera apps.
npx skills add https://github.com/onymchat/onym-ios --skill dockkit-onymchat
Please help me install this Agent Skill. Skill: dockkit Source: https://github.com/onymchat/onym-ios/tree/main/.claude/skills/dockkit Command: npx skills add https://github.com/onymchat/onym-ios --skill dockkit-onymchat
Coordinate motorized camera docks and enable automatic subject tracking in iOS camera apps.
Launch a DockKit-enabled app on iPhone with a compatible dock accessory connected and enable system tracking to begin automatic subject framing.
High-intent search queries and answers about installing and using this skill.
To enable automatic subject tracking in your iOS camera app, use the DockKit framework to configure system tracking, which applies ML inference to keep subjects in frame. This requires a connected physical DockKit-compatible accessory and an AVFoundation-based camera setup.
Yes, you can implement custom tracking by supplying your own user observations for camera subject tracking instead of system ML inference. The DockKit framework allows you to configure custom tracking alongside specific framing modes and regions of interest for precise composition control.
Yes, you need a physical DockKit-compatible accessory to control motorized camera docks. The DockKit framework requires this hardware integration to manage motor orientation, velocity, and motion state, and to send accessory events and battery monitoring data to your iOS app.
The best way to control motor orientation and velocity for a motorized dock is through the DockKit framework's motor control APIs. You can directly set the orientation, velocity, and motion state of the physical dock accessory within your AVFoundation-based iOS camera app.
DockKit integrates with AVFoundation by providing patterns for Vision integration and production workflows within your camera app. This combination enables you to discover compatible accessories, configure framing, and execute automatic subject tracking using the DockKit framework.
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