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Found 166 Skills
Use when needing APNs HTTP/2 transport details, JWT authentication setup, payload key reference, UNUserNotificationCenter API, notification category/action registration, service extension lifecycle, local notification triggers, Live Activity push headers, or broadcast push format. Covers complete push notification API surface.
Use when reviewing or generating Swift code for modern idiom correctness — catches outdated APIs, pre-Swift 5.5 patterns, and Foundation legacy usage that Claude defaults to
Use when code signing fails during build, archive, or upload — certificate not found, provisioning profile mismatch, errSecInternalComponent in CI, ITMS-90035 invalid signature, ambiguous identity, entitlement mismatch. Covers certificate, profile, keychain, entitlement, and archive signing diagnostics.
Use when wrapping UIKit views/controllers in SwiftUI, embedding SwiftUI in UIKit, or debugging UIKit-SwiftUI interop issues. Covers UIViewRepresentable, UIViewControllerRepresentable, UIHostingController, UIHostingConfiguration, coordinators, lifecycle, state binding, memory management.
subject not detected, hand pose missing landmarks, low confidence observations, Vision performance, coordinate conversion, VisionKit errors, observation nil, text not recognized, barcode not detected, DataScannerViewController not working, document scan issues
Use when implementing SwiftUI gestures (tap, drag, long press, magnification, rotation), composing gestures, managing gesture state, or debugging gesture conflicts - comprehensive patterns for gesture recognition, composition, accessibility, and cross-platform support
Use when CAAnimation completion handler doesn't fire, spring physics look wrong on device, animation duration mismatches actual time, gesture + animation interaction causes jank, or timing differs between simulator and real hardware - systematic CAAnimation diagnosis with CATransaction patterns, frame rate awareness, and device-specific behavior
Use when optimizing Swift code performance, reducing memory usage, improving runtime efficiency, dealing with COW, ARC overhead, generics specialization, or collection optimization
Use when implementing ANY computer vision feature - image analysis, object detection, pose detection, person segmentation, subject lifting, hand/body pose tracking.
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
Use when researching Apple frameworks, APIs, or WWDC sessions - provides techniques for retrieving full transcripts, code samples, and documentation using Chrome browser and sosumi.ai
TextKit 2 complete reference (architecture, migration, Writing Tools, SwiftUI TextEditor) through iOS 26