Agent skill · charleswiltgen
axiom-ai
Use when implementing, testing, or evaluating ANY Apple Intelligence, on-device AI, or speech-to-text feature. Covers Foundation Models, @Generable, LanguageModelSession, Tool protocol, eval suites, model-as-judge scoring, SpeechTranscriber, CoreML.
What it needs
About 10k tokens when loaded.
What this skill does
Apple Intelligence & AI You MUST use this skill for ANY Apple Intelligence or Foundation Models work. Cursor Subagent Routing Delegate to the appropriate Cursor subagent when this router calls for a specialized auditor. 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) — classic Core ML See skills/ios-ml.md (hub) → conversion / compression / training files Custom LLM-scale / transformer model on-device (27-cycle) See skills/core-ai.md → Core AI conversion, runtime, specialization Computer vision (image analysis, OCR, segmentation) /skill axiom-vision → Vision framework Cloud API integration (OpenAI, generic HTTP) /skill axiom-networking → URLSession patterns Cloud Claude integration (Anthropic SDK, Messages API, Claude Agent SDK) See claude-api skill (external) → includes automated Opus 4.6 → 4.7 migration Speech-to-text / transcription (SpeechAnalyzer, SpeechTranscriber, mic → transcript) See skills/ios-ml.md → Speech-to-Text section (the ~2-analyzer cap, OS27 input providers) Turnkey Apple Intelligence UI — suggested actions for a messaging conversation (OS27) See skills/suggested-actions.md → drop-in SuggestedActionsView, entitlement-gated System AI features (Writing Tools, Genmoji) No custom code needed — these are system-provided Key boundary: Foundation Models vs ML (custom models) Foundation Models = Apple's on-device LLM framework (LanguageModelSession, @Generable) ML = Custom model deployment (CoreML conversion, quantization, MLTensor, speech-to-text) If developer says "run my own model" → skills/ios-ml.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills charleswiltgen/axiom-ai--bffc22