axiom-ios-ml
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
npx skills add majiayu000/claude-skill-registry --skill axiom-ios-ml-charleswiltgen-axiom --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# iOS Machine Learning Router **You MUST use this skill for ANY on-device machine learning or speech-to-text work.** ## When to Use Use this router when: - Converting PyTorch/TensorFlow models to CoreML - Deploying ML models on-device - Compressing models (quantization, palettization, pruning) - Working with large language models (LLMs) - Implementing KV-cache for transformers - Using MLTensor for model stitching - Building speech-to-text features - Transcribing audio (live or recorded) ## Routing Logic ### CoreML Work **Implementation patterns** → `/skill coreml` - Model conversion workflow - MLTensor for model stitching - Stateful models with KV-cache - Multi-function models (adapters/LoRA) - Async prediction patterns - Compute unit selection **API reference** → `/skill coreml-ref` - CoreML Tools Python API - MLModel lifecycle - MLTensor operations - MLComputeDevice availability - State management APIs - Performance reports **Diagnostics** → `/skill coreml-diag` - Model won't load - Slow inference - Memory issues - Compression accuracy loss - Compute unit problems ### Speech Work **Implementation patterns** → `/skill speech` - SpeechAnalyzer setup (iOS 26+) - SpeechTranscriber co
- When to Use
- Routing Logic
- CoreML Work
- Speech Work
- Decision Tree
- Critical Patterns
- Example Invocations
What does the axiom-ios-ml skill do?
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill axiom-ios-ml-charleswiltgen-axiom --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.