Apple Intelligence Skills

Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, 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

Available Skills

foundation-models/

On-device LLM integration with prompt engineering best practices.

• Model availability checking
• Session management
• @Generable structured output
• Tool calling patterns
• Snapshot streaming
• Prompt engineering techniques

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

Key Principles

1. Privacy First

• All processing happens on-device
• No cloud connectivity required
• User data never leaves the device

2. Graceful Degradation

• Always check model availability
• Provide fallback UI for unsupported devices
• Handle errors gracefully

3. Efficient Prompting

• Keep prompts focused and specific
• Use structured output when possible
• Respect context window limits (4,096 tokens)

Reference Documentation

• /Users/ravishankar/Downloads/docs/FoundationModels-Using-on-device-LLM-in-your-app.md
• /Users/ravishankar/Downloads/docs/Implementing-Visual-Intelligence-in-iOS.md