Core ML Swift Integration

Core ML Swift Integration is an AI Engineering skill for Claude Code, published by dpearson2699 in swift-ios-skills.

1K stars50 forkson dpearson2699/swift-ios-skillsAdded 2026/08/21+1% in starsRepository updated 2026/07/31

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Install in seconds

Install Core ML Swift Integration

Copy Core ML Swift Integration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/coreml ~/.claude/skills/coreml

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/dpearson2699/swift-ios-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/coreml/SKILL.md in dpearson2699/swift-ios-skills
Installs to: ~/.claude/skills/coreml
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Core ML Swift Integration does

Core ML Swift Integration shows how to load Core ML models, configure compute units, and run predictions in iOS apps. Use it when integrating .mlmodel or .mlpackage files, batching inference, or profiling on-device performance.

Core ML Swift Integration is cataloged under AI Engineering on DirSkills. Core ML Swift Integration comes from a repository tagged accessibility, agent-skills, ai-coding, apple and claude-code.

Documentation

README

Excerpt

Core ML Swift Integration

Load, configure, and run Core ML models in iOS apps. This skill covers the Swift side: model loading, prediction, MLTensor, profiling, and deployment.

Scope boundary: Python-side model conversion, optimization (quantization, palettization, pruning), and framework selection live in the apple-on-device-ai skill. This skill owns Swift integration only.

See references/coreml-swift-integration.md for complete code patterns including actor-based caching, batch inference, image preprocessing, and testing.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Core ML Swift Integration

What else does dpearson2699 publish alongside Core ML Swift Integration?
Core ML Swift Integration is one of 25 skills that DirSkills catalogs from dpearson2699/swift-ios-skills, the repository it ships in. Its siblings there include AVKit, Accessory Setup Kit and ActivityKit. Each one is a separate skill with its own page in this directory, installs the same way Core ML Swift Integration does, and is maintained by dpearson2699 in that same repository. The rest of the collection is listed on the dpearson2699/swift-ios-skills page.
How does Core ML Swift Integration compare to other AI Engineering skills?
Core ML Swift Integration ranks #1368 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Core ML Swift Integration against them. Open each page to compare what they document and how they install.