apple-intelligence
Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.
Full skill instructions
Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, App Intents integration, and intelligent assistants.
Use this skill when the user:
On-device LLM integration with prompt engineering best practices.
Integrate with iOS Visual Intelligence for camera-based search.
App Intents for Siri, Shortcuts, Spotlight, and Apple Intelligence.
~/Downloads/docs/ contains FoundationModels-Using-on-device-LLM-in-your-app.md, Implementing-Visual-Intelligence-in-iOS.md, or AppIntents-Updates.md, read them for extra detail; skip silently if absent.
Senior developer-level release review for macOS/iOS apps. Identifies security, privacy, UX, and distribution issues with actionable fixes. Use when preparing an app for release, want a critical review, or before App Store submission.
Security review and guidance for iOS, macOS, and watchOS apps. Covers secure storage, biometric authentication, network security, and platform-specific patterns. Use when implementing security features or reviewing code for vulnerabilities.
Code generator skills that produce production-ready Swift code for common app components. Use when user wants to add logging, analytics, onboarding, review prompts, networking, authentication, paywalls, settings, persistence, error monitoring, CI/CD pipelines, localization, push notifications, de...
Platform-agnostic skills including skill creation templates and best practices. Use when creating new skills or improving existing ones.
TDD and testing skills for iOS/macOS apps. Covers characterization tests, TDD workflows, test contracts, snapshot tests, and test infrastructure. Use for test-driven development, adding tests to existing code, or building test infrastructure.
Monetization strategy for iOS/macOS apps. Covers readiness assessment, pricing model selection, tier structuring, free trial strategy, and implementation guidance. Use when deciding what to charge, how to price, or planning monetization end-to-end.
Legal document generation and compliance guidance for indie Apple developers. Covers privacy policies, terms of service, EULAs, GDPR/CCPA/DPDP compliance, and Apple App Store legal requirements. Use when user needs legal documents or compliance guidance.
Growth skills for indie Apple developers — user acquisition, analytics interpretation, press/media outreach, community building, and indie business operations. Use when user asks about growing their app, understanding metrics, getting press coverage, or running an indie dev business.
Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.
Interpret app metrics and make data-driven decisions. Covers DAU/MAU, retention, LTV, ARPU, App Store Connect analytics, AARRR funnel analysis, cohort analysis, and diagnostic decision trees. Use when user wants to understand their metrics, diagnose problems, or build a data-driven growth plan.
Pre-refactor safety checklist. Verifies test coverage exists before AI modifies existing code. Use before asking AI to refactor anything.
Generate compelling App Store descriptions that convert browsers into users. Use when writing initial descriptions, improving existing copy, or drafting promotional text and What's New for a major update.
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