Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.

Apple Intelligence Skills Skills for implementing Apple Intelligence features including on device LLMs, visual recognition, App Intents integration, and intelligent assistants. When This Skill Activates Use this skill when the user: Wants to add AI/LLM features to their app Needs on device text generation or understanding Asks about Foundation Models or Apple Intelligence Wants to implement structured AI output Needs prompt engineering guidance Wants camera based visual intelligence features Needs Siri, Shortcuts, or Spotlight integration via App Intents Wants to expose app actions or content to the system Available Skills foundation models/ On device LLM integration with prompt engineering best practices. Model availability checking Session management @Generable structured output (property order + schema injection rules) Tool calling patterns Snapshot streaming Prompt engineering techniques safety and guardrails.md — model limits, the instructions over prompts hierarchy, guardrail handling, the four layer safety stack, evals models and agents.md — Private Cloud Compute, LanguageModel protocol (third party backends), vision input, DynamicProfile agents, tool calling modes, KV cache rules visual intelligence/ Integrate with iOS Visual Intelligence for camera based search. IntentValueQuery implementation SemanticContentDescriptor handling AppEntity for searchable content Display representations Deep linking from results app intents/ App Intents for Siri, Shortcuts, Spotlight, and Apple Intelligence. AppIntent protocol, parameters, perform() AppEntity and entity queries App Shortcuts with voice phrases IndexedEntity and Spotlight indexing Intent modes (background, foreground) Interactive snippets with SnippetIntent Visual intelligence integration Onscreen entities for Siri/ChatGPT Multiple choice API Swift package support Key Principles 1. Privacy First On device processing by default; Private Cloud Compute extends capacity without storing prompts (no account/API keys — WWDC26 241) When routing to less private backends, redact context first (see foundation models/models and agents.md) 2. Graceful Degradation Always check model availability Provide fallback UI for unsupported devices Handle errors gracefully (incl. guardrail violations — silent for proactive features, explained for user initiated) 3. Efficient Prompting Keep prompts focused and specific Use structured output when possible Respect context window limits — query model.contextSize , never hardcode (4,096 first gen on device; 8,192 iOS 27 on device; 32,000 Private Cloud Compute) Reference Documentation [Foundation Models](https://developer.apple.com/documentation/foundationmodels) [Visual Intelligence](https://developer.apple.com/documentation/visualintelligence) [App Intents](https://developer.apple.com/documentation/appintents) Local captured docs (optional): if ~/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.

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