Skip to content
TrustedSkillsbeta
Back to all skills

Programming Swift

Checked
kylehughes·vlatest·frontend·MIT

Generates clean, efficient Swift code for iOS/macOS frontends based on specifications and design mockups.

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 kylehughes/the-unofficial-swift-programming-language-skill --skill programming-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

kylehughes

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 kylehughes/the-unofficial-swift-programming-language-skill at aafcbd4400.

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

Scanned
43 files, 50,681 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 write, debug, and explain Swift code. It can generate complete programs or specific functions based on natural language instructions. The agent is proficient in utilizing Swift's features for iOS, macOS, watchOS, and tvOS development.

When to use it

  • Generate a simple iOS app prototype from a textual description of its functionality.
  • Debug existing Swift code snippets by identifying errors and suggesting corrections.
  • Explain complex Swift concepts or algorithms in plain English.
  • Create unit tests for Swift functions to ensure correctness and reliability.

Key capabilities

  • Swift code generation
  • Code debugging & error correction
  • Code explanation
  • Unit test creation

Example prompts

  • "Write a Swift function that calculates the factorial of a given number."
  • "Explain how closures work in Swift with an example."
  • "Debug this Swift code: [insert code snippet here]"

Tips & gotchas

The agent's performance is dependent on the clarity and specificity of your prompts. Providing context or desired output formats will improve results.