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Control motorized camera docks and enable intelligent subject tracking using DockKit.
Passed 20 of 22 test cases with the skill, and 6 of 22 without it.
and 21 more in the full report
14 fixed6 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
When constructing camera information metadata for custom observation tracking, what orientation enum setting must be selected if frame bounding boxes use Vision's bottom-left origin?
| Checked | Without skill | With skill |
|---|---|---|
| Sets orientation to .corrected when coordinates use lower-left origin. | Missed | Passed |
The instructions your model reads when the skill loads.
Framework for integrating with motorized camera stands and gimbals that physically track subjects by rotating the iPhone. DockKit handles motor control, subject detection, and framing so camera apps get 360-degree pan and 90-degree tilt tracking with no additional code. Apps can override system tracking to supply custom observations, control motors directly, or adjust framing. iOS 17+, Swift 6.3.
Import DockKit:
import DockKit
DockKit requires a physical DockKit-compatible accessory and a real device. The Simulator cannot connect to dock hardware.
DockKit itself requires no special entitlements or DockKit-specific
Info.plist keys. Camera apps that use device cameras still need normal
camera privacy handling, including NSCameraUsageDescription. The framework
communicates with paired accessories automatically through the DockKit
test cases passed, vs 6 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.