Deploy on-device AI across Apple platforms using Foundation Models, Core ML, MLX Swift, and llama.cpp.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add dpearson2699/swift-ios-skills --skill apple-on-device-aiCompatible with
Supported agents
Choose Foundation Models for zero-setup text generation and structured output on iOS 26+; Core ML for custom vision and NLP models; MLX Swift for maximum throughput on Apple Silicon; llama.cpp for cross-platform GGUF inference
Foundation Models includes session management, @Generable macros for type-safe structured output, tool calling, and streaming with always-enforced guardrails
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapple-on-device-aiExecute the skills CLI command in your project's root directory to begin installation:
epx add dpearson2699/swift-ios-skills --skill apple-on-device-aiFetches apple-on-device-ai from dpearson2699/swift-ios-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/apple-on-device-ai
Restart Cursor to activate apple-on-device-ai. Access via /apple-on-device-aiin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Useful defaults in apple-on-device-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
apple-on-device-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
apple-on-device-ai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
apple-on-device-ai reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added apple-on-device-ai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added apple-on-device-ai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
apple-on-device-ai reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in apple-on-device-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend apple-on-device-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: apple-on-device-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
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