core-ml

1# Core ML Skills
2 
3Combined advisory, generator, and workflow skill for integrating machine learning into Apple platform apps. Covers Core ML model integration, Vision framework image analysis, NaturalLanguage framework text processing, Create ML training, and on-device model optimization.
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5## When This Skill Activates
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7Use this skill when the user:
8- Wants to add ML capabilities to their app
9- Needs to integrate a Core ML model (.mlmodel) into an Xcode project
10- Wants to use the Vision framework for image analysis (faces, text recognition, body pose, object detection)
11- Wants to use the NaturalLanguage framework for text processing (sentiment, entities, language detection)
12- Needs to train a custom model with Create ML
13- Wants to optimize a model for on-device use (quantization, pruning, palettization)
14- Needs to choose between Core ML and Foundation Models (Apple Intelligence)
15- Asks about image classification, object detection, sound classification, or tabular data prediction
16- Wants real-time camera + ML processing
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18## Decision Guide: Core ML vs Foundation Models
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20Before generating code, determine which framework is appropriate.
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22### Use Foundation Models (Apple Intelligence) When:
23- You need general-purpose text generation, summarization, or conversational AI
24- Target is iOS 26+ / macOS 26+ (Foundation Models requires Apple Silicon + latest OS)
25- The task is open-ended language understanding or generation
26- You want `@Generable` structured output from natural language
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