Starred repositories
Generate Objective-C headers from Mach-O files.
Apple's developer docs as a Swift package and CLI.
An Agent Skill focused on Apple’s Core Data framework, helping with data modeling, fetch requests, performance, and common persistence patterns.
A curated directory of open-source AI agent skills for Swift and Apple platform development.
Math expression parser built with Point•Free's swift-parsing package
The home of the Unicode Common Locale Data Repository
A toolkit to make debugging iOS applications easier 🚀
Training neural networks on Apple Neural Engine via reverse-engineered private APIs
A fast & simple, yet powerful & flexible logging framework for macOS, iOS, tvOS, watchOS and visionOS
Pre-submission compliance scanner for the Apple App Store
Add expert SwiftUI Best Practices guidance to your AI coding tool (Agent Skills open format).
An agentic skills framework & software development methodology that works.
🐦🔥 A Lightweight Agent Orchestration Framework written in pure Swift 6.2
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archite…
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
iOS 18.2 header dump
📸 Automatic snapshots from Xcode previews. Supports UIKit/AppKit/SwiftUI on iOS/macOS/watchOS/visionOS/tvOS. Browse previews in-app with the Preview Gallery, or save them to PNGs with an XCTest
Beautiful math equation rendering on iOS and MacOS
MCP server providing seamless access to Apple Developer Documentation with smart search and wildcard support
Simulator tweak injection and helpers
A simple, fast circular buffer implementation
Runtime introspection and unit testing of SwiftUI views
A Swift package providing customizable modifiers for easy liquid glass effects and materials in SwiftUI applications
Catch Objective-C exceptions in Swift
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.