Apple's Core ML lets your iPhone apps run machine learning models right on the device. This skill teaches you how to load, configure, and run Core ML models using Swift. You will learn to handle model predictions, choose the right compute units, and profile performance. It works with iOS 14 and above, with special support for the latest iOS 26 features.
You will discover how to use auto-generated classes for typed inputs and outputs. You can also load models manually from URLs or asynchronously to keep your app fast. The skill includes tips for multi-model pipelines, image preprocessing, and Vision integration. It helps you avoid common mistakes and manage memory well.
This is for Swift developers who want to add on-device AI features like image recognition, text analysis, or custom predictions. The skill covers both basic and advanced topics, including MLTensor for iOS 18 and compute unit configuration for CPU, GPU, and Neural Engine. You will get code examples and a review checklist to ensure quality.
Add Coreml skill to your workflow
Global
mkdir -p ~/.claude/skills/coremlProject
mkdir -p .claude/skills/coremlSource Repository
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