Co-Pilot
Updated a month ago

swiftui-skills

Aameyalambat128
0.0k
ameyalambat128/swiftui-skills
80
Agent Score

💡 Summary

This skill extracts Apple documentation to help AI agents write idiomatic SwiftUI code.

🎯 Target Audience

iOS developers refactoring into SwiftUIDevelopers using AI for SwiftUI-heavy appsPeople working with App Intents and StoreKitVisionOS developersAI enthusiasts tired of non-idiomatic code

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal. Run with least privilege and audit before enabling in production.

/swiftui-skills

Apple-authored SwiftUI and Apple platform guidance, packaged as skills for AI coding agents.

What is this?

SwiftUI is opinionated. Most AI agents don't know those opinions.

/swiftui-skills extracts internal Apple documentation shipped inside Xcode and turns it into reusable skills that help AI agents write idiomatic, Apple-native SwiftUI code.

  • Uses Apple-written guidance from inside Xcode
  • Reduces hallucinated or non-idiomatic SwiftUI
  • Works with Claude Code, Cursor, and similar tools
  • Open source and local-first

Installation

Using curl (Recommended)

curl -fsSL https://swiftui-skills.ameyalambat.com/install | bash

Using npx skills

npx skills add ameyalambat128/swiftui-skills ~/.agents/skills/swiftui-skills/setup.sh

The first command installs the skill. The second extracts Apple documentation from your local Xcode installation.

Requirements

  • macOS
  • Xcode 26 or later (the documentation lives inside Xcode)

Custom paths

If Xcode is installed in a non-standard location:

# Custom Xcode location ./install.sh --xcode-path /Applications/Xcode-beta.app # Direct path to docs folder ./install.sh --docs-path /path/to/AdditionalDocumentation

How it works

  1. The installer extracts Apple documentation from your local Xcode install
  2. Skills define how agents should use that documentation
  3. Your AI agent uses the docs as source of truth when writing code

No Apple documentation is redistributed. Everything is extracted locally on install.

What's included

Documentation extracted from Xcode covers:

  • SwiftUI patterns and composition
  • App Intents and system integrations
  • AlarmKit integration
  • StoreKit updates
  • WebKit + SwiftUI integration
  • SwiftData inheritance
  • Swift Concurrency updates
  • Liquid Glass design (SwiftUI, UIKit, AppKit, WidgetKit)
  • Widgets for visionOS
  • Low-level Swift performance primitives (InlineArray, Span)

Usage

Claude Code

The installer automatically links the skill to ~/.claude/skills/. The skill is available immediately.

Cursor

Add the skill path to your Cursor configuration:

~/.swiftui-skills/

Project structure

swiftui-skills/
├── src/
│   ├── app/                    # Next.js website
│   ├── skill/                  # Skill package
│   │   ├── skill.md            # Agent contract
│   │   ├── manifest.json       # Tool compatibility
│   │   ├── prompts/            # System, router, reviewer, generator, refactorer
│   │   └── docs/               # Populated by installer
│   └── scripts/
│       ├── install.sh
│       └── uninstall.sh
└── public/
    └── install                 # curl target

Uninstall

~/.swiftui-skills/scripts/uninstall.sh

Who this is for

  • iOS developers refactoring into SwiftUI
  • Developers using AI to write SwiftUI-heavy apps
  • People working with App Intents, StoreKit, Widgets, or visionOS
  • Anyone tired of fighting non-idiomatic AI-generated SwiftUI

License

MIT

Author

Built by Ameya Lambat. Not affiliated with Apple.

5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Utilizes official Apple documentation
  • Reduces non-idiomatic code generation
  • Open source and local-first approach

Cons

  • Requires Xcode installation
  • Limited to Apple platforms
  • May not cover all SwiftUI features

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author ameyalambat128.