skill CX Codex

coreml — Claude Code skill for Core ML integration

Q: How do I install coreml in Claude Code?

Run `npx skills add dpearson2699/swift-ios-skills --skill coreml -a claude-code`. The skill file is placed at `~/.claude/skills/coreml/SKILL.md`.

This skill guides Swift integration of Core ML in iOS apps, from loading models to running predictions and choosing compute units.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓

npx skills add dpearson2699/swift-ios-skills --skill coreml -a claude-code

Open on GitHub

What coreml does

The skill covers the Swift side of Core ML: loading .mlmodel, .mlpackage, and .mlmodelc files, then making predictions with Xcode-generated classes or MLFeatureProvider. It also discusses batch inference, MLTensor, Vision integration, and configuration for CPU, GPU, and Neural Engine.

Use it when building an iOS model pipeline or investigating inference performance. For large models, the guidance favors asynchronous loading. Models compiled at runtime should be cached, since compiling them again at every launch is a bug. Python-side conversion and model optimization belong to a separate skill, so this one focuses on app integration.

What it helps with

load a Core ML model in an iOS app
run predictions with generated model classes
pass dynamic inputs through MLFeatureProvider
choose CPU, GPU, or Neural Engine compute units
process multiple inputs in a batch

Example prompts for the agent

Add a .mlpackage model to my iOS app and load it asynchronously.
Configure MLModelConfiguration to use the Neural Engine.
Review batch predictions for an array of images with Core ML.

How to install coreml

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill coreml -a claude-code

2Manually: put the files in place

~/.claude/skills/coreml/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/coreml/

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill coreml -a codex

2Manually: put the files in place

.agents/skills/coreml/SKILL.md

For all projects use ~/.agents/skills/

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill coreml -a cursor

2Manually: put the files in place

.cursor/skills/coreml/SKILL.md

Cursor also reads .agents/skills/ and .claude/skills/

1GitHub CLI

gh skill install dpearson2699/swift-ios-skills coreml

2Manually: put the files in place

.github/skills/coreml/SKILL.md

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill coreml -a gemini-cli

2Platform CLI

gemini skills install https://github.com/dpearson2699/swift-ios-skills --path skills/coreml

Manually: put the files in place

.devin/skills/coreml/SKILL.md

The legacy .windsurf/skills/ path still works

Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill coreml -a opencode

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about coreml

How do I install coreml in Claude Code?

Run npx skills add dpearson2699/swift-ios-skills --skill coreml -a claude-code. The skill file is placed at ~/.claude/skills/coreml/SKILL.md.

What does the coreml skill do?

It guides Swift integration of Core ML in iOS apps, including model loading, inference, and compute-unit configuration.

Should I cache a model compiled at runtime?

Yes. The skill says to keep the compiled model so the app does not compile it again at every launch.

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