iOS Apple Intelligence Router

You MUST use this skill for ANY Apple Intelligence or Foundation Models work.

When to Use

Use this router when:

• Implementing Apple Intelligence features
• Using Foundation Models
• Working with LanguageModelSession
• Generating structured output with @Generable
• Debugging AI generation issues
• iOS 26 on-device AI

AI Approach Triage

First, determine which kind of AI the developer needs:

Developer Intent	Route To
On-device text generation (Apple Intelligence)	Stay here → Foundation Models skills
Custom ML model deployment (PyTorch, TensorFlow)	Route to ios-ml → CoreML conversion, compression
Computer vision (image analysis, OCR, segmentation)	Route to ios-vision → Vision framework
Cloud API integration (OpenAI, etc.)	Route to ios-networking → URLSession patterns
System AI features (Writing Tools, Genmoji)	No custom code needed — these are system-provided

Key boundary: ios-ai vs ios-ml

• ios-ai = Apple's Foundation Models framework (LanguageModelSession, @Generable, on-device LLM)
• ios-ml = Custom model deployment (CoreML conversion, quantization, MLTensor, speech-to-text)
• If developer says "run my own model" → ios-ml. If "use Apple Intelligence" → ios-ai.

Cross-Domain Routing

Foundation Models + concurrency (session blocking main thread, UI freezes):

• Foundation Models sessions are async — blocking likely means missing await or running on @MainActor
• Fix here first using async session patterns in foundation-models skill
• If concurrency issue is broader than Foundation Models → also invoke ios-concurrency

Foundation Models + data (@Generable decoding errors, structured output issues):

• @Generable output problems are Foundation Models-specific, NOT generic Codable issues
• Stay here → foundation-models-diag handles structured output debugging
• If developer also has general Codable/serialization questions → also invoke ios-data

Routing Logic

Foundation Models Work

Implementation patterns → /skill axiom-foundation-models

• LanguageModelSession basics
• @Generable structured output
• Tool protocol integration
• Streaming with PartiallyGenerated
• Dynamic schemas
• 26 WWDC code examples

API reference → /skill axiom-foundation-models-ref

• Complete API documentation
• All @Generable examples
• Tool protocol patterns
• Streaming generation patterns

Diagnostics → /skill axiom-foundation-models-diag

• AI response blocked
• Generation slow
• Guardrail violations
• Context limits exceeded
• Model unavailable

Decision Tree

1. Custom ML model / CoreML / PyTorch conversion? → Route to ios-ml (not this router)
2. Computer vision / image analysis / OCR? → Route to ios-vision (not this router)
3. Cloud AI API integration? → Route to ios-networking (not this router)
4. Implementing Foundation Models / @Generable / Tool protocol? → foundation-models
5. Need API reference / code examples? → foundation-models-ref
6. Debugging AI issues (blocked, slow, guardrails)? → foundation-models-diag
7. Foundation Models + UI freezing? → foundation-models (async patterns) + also invoke ios-concurrency if needed

Anti-Rationalization

Thought	Reality
"Foundation Models is just LanguageModelSession"	Foundation Models has @Generable, Tool protocol, streaming, and guardrails. foundation-models covers all.
"I'll figure out the AI patterns as I go"	AI APIs have specific error handling and fallback requirements. foundation-models prevents runtime failures.
"I've used LLMs before, this is similar"	Apple's on-device models have unique constraints (guardrails, context limits). foundation-models is Apple-specific.

Critical Patterns

foundation-models:

• LanguageModelSession setup
• @Generable for structured output
• Tool protocol for function calling
• Streaming generation
• Dynamic schema evolution

foundation-models-diag:

• Blocked response handling
• Performance optimization
• Guardrail violations
• Context management

Example Invocations

User: "How do I use Apple Intelligence to generate structured data?" → Invoke: /skill axiom-foundation-models

User: "My AI generation is being blocked" → Invoke: /skill axiom-foundation-models-diag

User: "Show me @Generable examples" → Invoke: /skill axiom-foundation-models-ref

User: "Implement streaming AI generation" → Invoke: /skill axiom-foundation-models

User: "I want to add AI to my app" → First ask: Apple Intelligence (Foundation Models) or custom ML model? Route accordingly.

User: "My Foundation Models session is blocking the UI" → Invoke: /skill axiom-foundation-models (async patterns) + also invoke ios-concurrency if needed

User: "I want to run my PyTorch model on device" → Route to: ios-ml router (CoreML conversion, not Foundation Models)