apple-intelligence

# 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 fro...