| name | apple-intelligence |
| description | Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features. |
| allowed-tools | ["Read","Write","Edit","Glob","Grep","Bash","AskUserQuestion"] |
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
- 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
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
- 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/Users/ravishankar/Downloads/docs/AppIntents-Updates.md
