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Apple Swift

Checked
maroffo·vlatest·frontend·MIT

Generates clean, efficient Swift code snippets for SwiftUI views based on natural language descriptions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add maroffo/claude-forge --skill apple-swift -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

maroffo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: api.github.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    api.github.comsource host

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned maroffo/claude-forge at 24683579c9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
24683579c9
Manifest
skills/apple-swift/SKILL.md
Scanned
5 files, 1,125 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate Swift code, Apple's programming language used for iOS, macOS, watchOS, and tvOS development. It can produce snippets of code based on natural language descriptions or create entire files with specific functionalities. The generated code is intended to be functional and ready for integration into Xcode projects.

When to use it

  • Generating boilerplate code for new Swift projects.
  • Creating UI elements (buttons, labels, text fields) in SwiftUI.
  • Implementing simple algorithms or data structures in Swift.
  • Translating existing logic from other languages into Swift.
  • Quickly prototyping iOS/macOS app features.

Key capabilities

  • Swift code generation
  • Support for SwiftUI
  • Algorithm implementation
  • Data structure creation

Example prompts

  • "Write a Swift function to calculate the factorial of a number."
  • "Generate a SwiftUI view with a button that prints 'Hello, world!'"
  • "Create a struct in Swift called 'Person' with properties for name and age."

Tips & gotchas

The quality of generated code depends heavily on the clarity and specificity of the prompt. Ensure your instructions are detailed to achieve the desired results.