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Swift Development

Checked
hmohamed01·vlatest·frontend

Rapidly generates clean, efficient, and well-documented Swift/UIKit code for iOS frontends based on provided specifications.

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 hmohamed01/swift-development --skill swift-development -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

hmohamed01

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

    Makes no network calls.

    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.

  • 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 hmohamed01/swift-development at 5d08064176.

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

Commit
5d08064176
Manifest
swift-development/SKILL.md
Scanned
17 files, 2,808 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 understand and generate Swift code. It can assist with tasks like creating basic iOS applications, writing unit tests for existing Swift projects, or explaining snippets of Swift code. The agent is capable of generating functional Swift code based on user requests.

When to use it

  • iOS App Development: Generate initial project structures or components for a new iOS application.
  • Code Explanation: Ask the agent to explain what a specific block of Swift code does.
  • Unit Testing: Generate basic unit tests for existing Swift functions and classes.
  • Swift Code Generation: Request the creation of simple Swift scripts or functions based on requirements.

Key capabilities

  • Swift code generation
  • Code explanation
  • Unit test generation
  • iOS application component creation

Example prompts

  • "Write a Swift function to calculate the factorial of a number."
  • "Explain this Swift code: let name = "John""
  • "Generate unit tests for a Swift class called 'User'."

Tips & gotchas

The agent's effectiveness depends on clear and specific prompts. Providing context or examples can improve the quality of generated code.