---
title: "Apple (@apple) skills · skilld"
canonical_url: "https://skilld.dev/gh/apple"
meta:
  description: "3 agent skills published by Apple on skilld."
  "og:description": "3 agent skills published by Apple."
  "og:title": "Apple on skilld"
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![Avatar for Apple](https://skilld.dev/_img/avatar?url=https%3A%2F%2Fgithub.com%2Fapple.png)

# **Apple**

[@apple](https://github.com/apple)org

3 skills 2.2k Cupertino, CA

[GitHub](https://github.com/apple) [Website](https://apple.com)

## Skills

### [apple/coreai-models](https://skilld.dev/gh/apple/coreai-models)

3 skills 2.2k

`npx skilld add apple/coreai-models`

- [

  **/model-authoring**2.2k

  Empirical rules for authoring PyTorch models for on-device execution on Apple platforms, covering energy-efficient inference, scalable compute, and correctness testing. Use this skill whenever the user is writing, debugging, or reviewing PyTorch model code intended for on-device execution — even if they don't explicitly mention Neural Engine or Core AI. Covers BC1S layout, op compatibility, KV cache patterns, precision rules, PSNR verification, activation functions, and common issues. /model-authoring by apple](https://skilld.dev/gh/apple/coreai-models/model-authoring)
- [

  **/model-compression-exploration**2.2k

  Systematically explore weight compression configurations (quantization and palettization) for a PyTorch model using coreai-opt, presenting a comprehensive overview of accuracy-vs-size tradeoff options. Use this skill whenever the user wants to compress a model, explore quantization or palettization options, understand compression config tradeoffs, reduce model size, or compare different compression techniques. Also trigger when the user mentions coreai-opt compression, weight quantization exploration, or palettization exploration — even if they don't say "explore" explicitly. /model-compression-exploration by apple](https://skilld.dev/gh/apple/coreai-models/model-compression-exploration)
- [

  **/working-with-coreai**2.2k

  Use this skill whenever the user mentions coreai-torch, TorchConverter, coreai-build, AIModel, AIProgram, .aimodel, or wants to export/compile/run a PyTorch model on Apple silicon (iPhone, iPad, Mac). Also triggers for "deploy on device", "optimize for on-device performance", onboarding new models to Core AI, or choosing between iOS and macOS deployment paths. /working-with-coreai by apple](https://skilld.dev/gh/apple/coreai-models/working-with-coreai)

Skills published by Apple. Checked GitHub just now