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Awesome iOS AI

A curated list of AI agent skills, agent teams, MCP servers and other tools that teach AI coding assistants how to write expert-level Swift and iOS code.

Awesome iOS AI

Awesome iOS AI is a curated collection built on the idea that AI coding assistants otherwise write outdated Swift, missing modern APIs such as @Observable, proper actor isolation, or accessibility modifiers. Skills, agents and MCP servers are meant to give an assistant that expert knowledge on demand, and can be installed with a skills CLI across assistants such as GitHub Copilot, Claude Code and Cursor.

The list covers SwiftUI patterns and performance, Swift concurrency and actor isolation, architecture patterns such as MVVM and TCA, Core Data and SwiftData persistence, the Swift Testing framework, an iOS debugger agent that builds and runs apps on simulators, on-device Apple Intelligence integration, and Apple Human Interface Guidelines compliance checks.

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  • Provenance gate

    github.com

    A deterministic authorization gateway that sits between an AI agent and its tools, tracing where each parameter of a side-effect call came from, and blocking the call or asking a human when the source does not check out.

  • A markdown framework of system rules that restates Isaac Asimov's Four Laws of Robotics as a set of prioritized loss calculations for large-language-model agents to follow, published as a discovery file for agents and crawlers to read.

  • Vitruvius

    github.com

    An engineering research agent that runs a discover, read, synthesize, verify and review loop over technical questions, reading sources directly rather than inferring from titles, and publishing its own scored verifier benchmark, weaknesses included.