
Apple Intelligence
This bundles everything you need for Apple's on-device AI stack: Foundation Models for local LLM calls with structured output, Visual Intelligence for camera-based search, and App Intents for Siri and Shortcuts integration. It's privacy-first since nothing leaves the device, but you'll need to check model availability and handle graceful degradation for older hardware. The prompt engineering guidance is helpful since you're working with a 4,096 token context window. Best for iOS developers adding AI features without cloud dependencies, or exposing app functionality to system-level intelligence like Spotlight and ChatGPT screen awareness.
- skills.sh installs
- 528
- GitHub stars
- 879
- last updated
- Aug 21, 2026
Install
$ npx -y skills add rshankras/claude-code-apple-skills --skill apple-intelligence --agent claude-codeInstalls into .claude/skills of the current project.
Files
Apple Intelligence Skills
Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, App Intents integration, and intelligent assistants.
When This Skill Activates
Use this skill when the user:
- Wants to add AI/LLM features to their app
- Needs on-device text generation or understanding
- Asks about Foundation Models or Apple Intelligence
- Wants to implement structured AI output
- Needs prompt engineering guidance
- Wants camera-based visual intelligence features
- Needs Siri, Shortcuts, or Spotlight integration via App Intents
- Wants to expose app actions or content to the system
Available Skills
Sponsors
Details
- Repository
- github.com/rshankras/claude-code-apple-skills
- Categories
- AI & Agent Building, Design & UI/UX
- First seen
- Jun 3, 2026