framework-internalsdevelopment
coreml-optimizer
Optimize CoreML models for iOS and macOS deployment. Covers quantization, palettization, pruning, Neural Engine targeting, compute unit selection, and performance profiling. Use when converting ML models to CoreML, optimizing model size/latency, debugging Neural Engine issues, or benchmarking on-device inference.
maintainer
ckorhonen
Actualizado 1/19/2026
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quick start
Installation and usage
Optimize CoreML models for iOS and macOS deployment. Covers quantization, palettization, pruning, Neural Engine targeting, compute unit selection, and performance profiling. Use when converting ML models to CoreML, optimizing model size/latency, debugging Neural Engine issues, or benchmarking on-device inference.
Instalación
$ install --globalskills.sh
Uso
Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:
skills use coreml-optimizer