coreai-skills

Core AI Models

Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.

The main components include:

• Model export — Recipes to export popular open source models from Hugging Face and other sources to Core AI format.
• Reusable primitives — Python building blocks for authoring custom Core AI models in PyTorch.
• Runtime utilities — Swift package built on top of Core AI framework to run models on macOS and iOS.
• Skills — Plugins to help coding agents leverage Core AI effectively.

Directory	What's inside
models/	Model catalog with README and export recipes.
python/	Python primitives for authoring and utilities for exporting models.
swift/	Swift package (coreai-models): runtime utilities to integrate Core AI models in your app.
skills/	Pluggable skills that enable coding agents to leverage Core AI more effectively.

Requirements

If you haven't installed uv, install it by

brew install uv

or

curl -LsSf https://astral.sh/uv/install.sh | sh

Once installed successfully, refer to the README.md for each model or family of models, in models folder for their exporting recipe.

Requirements (running and app integration)

• macOS and iOS 27.0+

• Xcode 27.0+

Core AI models are exported as standalone .aimodel files for integration into apps via the Core AI framework.

Some models require additional resources. Language models require a tokenizer, for instance, and diffusion models run multiple models in sequence as part of a single pipeline. For these cases, export recipes in this repo produce a resource folder containing one or more .aimodel files alongside any required resources. The Swift package in this repo provides runtime utilities for integrating these into an app.

Command line interface (CLI) tools are also included for running exported models directly on a Mac (requires Xcode 27.0+). See each model's README for available tools and example invocations.

Explore supported models

Find supported models by

git clone https://github.com/apple/coreai-models.git && cd coreai-models
uv run coreai.model.registry --list-models

Run uv run coreai.model.registry --help for details.

Agent Skills

This repo includes a plugin with skills to enable coding agents to use Core AI like an expert.

Available skills

Skill	Description
working‑with‑coreai	End-to-end workflow for deploying PyTorch models on Apple silicon, covering export with coreai-torch and running with the Core AI runtime.
model‑authoring	Empirical rules for authoring PyTorch models for on-device execution on Apple platforms, covering BC1S layout, op compatibility, KV cache patterns, precision rules, MoE, and common issues.
model‑compression‑exploration	Systematically explore weight compression configurations (quantization and palettization) for a PyTorch model using coreai-opt.

Install

Installation differs depending on your coding agent of choice.

Claude Code

Register the marketplace:

/plugin marketplace add [email protected]:apple/coreai-models.git

Alternatively, register the marketplace from a local git checkout:

/plugin marketplace add /path/to/coreai-models

Install the plugin:

/plugin install coreai-skills@coreai-models

Codex CLI

Register the marketplace:

codex plugin marketplace add https://github.com/apple/coreai-models

Alternatively, register the marketplace from a local git checkout:

codex plugin marketplace add /path/to/coreai-models

Install the plugin:

codex plugin add coreai-skills@coreai-models

Gemini CLI

Install the extension from a local directory:

gemini extensions install /path/to/coreai-models/skills

Once installed, the skills activate automatically based on your task context, or you can invoke them explicitly.

Contributing

We are not accepting code contributions at this time

Core AI Models is focused on maintaining a curated, well-tested gallery of models and a reliable Swift package. We are not accepting pull requests at launch while we learn how the community uses this project.

If you open a pull request, it will be closed. This is not a reflection of the quality of your contribution but it is a deliberate scope decision for this release.

What we do welcome

We actively want your feedback! GitHub Issues are open for: