coreml
bydpearson2699· 58 skills
Integrate Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodel, .mlpackage, .mlmodelc), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
How to install coreml?
dpearson2699/swift-ios-skills/coreml
$npx -y skills add dpearson2699/swift-ios-skills --skill coremlInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/dpearson2699/swift-ios-skills" --skill "dpearson2699/swift-ios-skills/coreml"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dpearson2699/swift-ios-skills" that are relevant to the current task. Run `npx skills add "https://github.com/dpearson2699/swift-ios-skills"` and select the relevant skills, then follow their instructions.
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