core-ml
Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.
npx skills add rshankras/claude-code-apple-skills --skill core-ml --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Core ML Skills 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. ## When This Skill Activates Use this skill when the user: - Wants to add ML capabilities to their app - Needs to integrate a Core ML model (.mlmodel) into an Xcode project - Wants to use the Vision framework for image analysis (faces, text recognition, body pose, object detection) - Wants to use the NaturalLanguage framework for text processing (sentiment, entities, language detection) - Needs to train a custom model with Create ML - Wants to optimize a model for on-device use (quantization, pruning, palettization) - Needs to choose between Core ML and Foundation Models (Apple Intelligence) - Asks about image classification, object detection, sound classification, or tabular data prediction - Wants real-time camera + ML processing ## Decision Guide: Core ML vs Foundation Models Before generating code, determine which framework is appropriate. ### Use Foundation Models (Apple Intelligence) When: -
- When This Skill Activates
- Decision Guide: Core ML vs Foundation Models
- Use Foundation Models (Apple Intelligence) When:
- Use Core ML When:
- Use Vision Framework When (No Custom Model Needed):
- Use NaturalLanguage Framework When (No Custom Model Needed):
- Pre-Generation Checks
- 1. Project Context Detection
- 2. Conflict Detection
- Configuration Questions
- Core ML Model Integration
- Adding a Model to Xcode
- Loading Models
- Making Predictions
What does the core-ml skill do?
Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.
How do I install it?
Run `npx skills add rshankras/claude-code-apple-skills --skill core-ml --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From rshankras/claude-code-apple-skills, a repository with 589 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.