xcode-26

The xcode-26 skill serves as a comprehensive technical reference for developers adopting Apple's latest platform updates. It provides curated, high-accuracy guidance for implementing features introduced in the Xcode 26 era, including the fluid Liquid Glass design language across SwiftUI, UIKit, and AppKit. This skill is designed for iOS, macOS, and visionOS engineers who need to integrate on-device LLM capabilities using the Foundation Models Framework, leverage new App Intents for Apple Intelligence, or utilize advanced text manipulation through Foundation's AttributedString. By distilling hidden system documentation into actionable advice, the agent helps developers bridge the gap between design concepts and production code.

• Full documentation on Liquid Glass integration using NSGlassEffectView, NSGlassEffectContainerView, and SwiftUI modifiers.

• Implementation guidance for on-device generative AI via the Foundation Models Framework, including temperature control and availability checking.

• Deep integration details for App Intents, enabling system-wide visual intelligence, onscreen entity recognition, and interactive intent modes.

• Expanded support for modern Swift features including InlineArray, Span, and 3D visualization in Swift Charts.

• Updates on platform-specific UI frameworks such as AlarmKit, StoreKit behaviors, WidgetKit architectural changes, and MapKit GeoToolbox.

• Use this skill to bridge framework knowledge gaps by asking for implementation steps, code snippets, or comparative summaries of API shifts.

• Expect direct, code-focused answers that prioritize current SDK best practices for iOS 26 and related platform versions.

• Input is processed against a specific repository of markdown reference files; when multiple frameworks are involved, the agent will intersect the relevant documentation to provide cohesive architectural guidance.

• Constraints: The agent will explicitly note if a requested feature is outside the scope of current reference files, ensuring high signal-to-noise ratio in technical responses.

• Best for: Swift developers, Apple platform engineers, and AI-assisted coding workflows needing precise, verified documentation on late-model Xcode features.