Core ML is an AI Engineering skill for Claude Code, published by rshankras in claude-code-apple-skills.
Core ML integrates Apple machine learning frameworks into apps for image classification, text analysis, object detection, sound classification, and custom model inference. Use it when choosing between Core ML, Vision, NaturalLanguage, Create ML, or Foundation Models.
Core ML is cataloged under AI Engineering on DirSkills. Core ML comes from a repository tagged agent-skills, ai-tools, anthropic, app-store and apple.
Documentation
Combined advisory, generator, and workflow skill for integrating machine learning into Apple platform apps. Covers Core ML model integration, Vision framework image analysis, NaturalLanguage framework text processing, Create ML training, and on-device model optimization.
This is the opening of the README. Read the full README on GitHub.
Core ML is one of 25 skills that DirSkills catalogs from rshankras/claude-code-apple-skills, the repository it ships in. Its siblings there include Ad Attribution, App Description Writer and App Store Optimization. Each one is a separate skill with its own page in this directory, installs the same way Core ML does, and is maintained by rshankras in that same repository. The rest of the collection is listed on the rshankras/claude-code-apple-skills page.
Core ML ranks #1838 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 against them. Open each page to compare what they document and how they install.
Core ML is one of 25 skills cataloged on DirSkills from rshankras/claude-code-apple-skills.
Core ML is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1838 by stars among them.