Back to directory

Claude Code Skills for Apple Platform Development

This is a collection of 164 Claude Code skills for iOS, macOS, watchOS, visionOS and Apple platform development, covering product validation, code generation, App Store optimization, testing, design and more.

Claude Code Skills for Apple Platform Development

This repository packages 164 Claude Code skills for Apple platform development, split across categories such as production-ready code generators, product idea-to-App-Store guidance, iOS-specific code and UI review, TDD and snapshot-testing workflows, macOS APIs, App Store optimization and review handling, SwiftUI patterns, growth and analytics, Swift language features, Apple Intelligence integration, design guidance for Liquid Glass and animation, performance profiling, privacy and security requirements, Core ML integration, legal documents, monetization strategy, watchOS, SwiftData and MapKit.

It is one of four layers in a wider indie Apple developer stack: this repository is the knowledge layer of skills, a separate SwiftShip repository is a workflow layer of slash commands for a spec-driven idea-to-App-Store pipeline, an indie-app-autopilot repository is an action layer of agents that turn a GitHub issue into an App Store submission, and an asc-metadata-mcp repository is an integration layer exposing the live App Store Connect API as MCP tools.

It is written in Swift and licensed under MIT.

More in Agent skills

See all 581
  • 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.