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Swift

Checked
joannis·vlatest·frontend

Rapidly generates clean, responsive HTML/CSS code snippets based on user descriptions, optimizing for speed and accessibility.

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 wendylabsinc/claude-skills --skill 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

joannis

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 joannis/claude-skills at 934e0a5d17.

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

Commit
934e0a5d17
Manifest
swift/SKILL.md
Scanned
6 files, 1,628 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

The joannis-swift skill enables AI agents to generate Swift code snippets. It can produce code based on natural language descriptions, allowing for rapid prototyping and development of iOS applications. This skill is particularly useful for automating repetitive coding tasks and assisting developers with syntax or logic.

When to use it

  • Rapid Prototyping: Quickly generate basic UI elements or data structures in Swift for initial testing.
  • Code Generation from Description: Describe a desired function or class, and have the AI agent create the corresponding Swift code.
  • Syntax Assistance: Get help with specific Swift syntax or API usage by requesting example code snippets.
  • Automating Boilerplate: Generate common code patterns like network requests or data parsing to reduce manual effort.

Key capabilities

  • Swift Code Generation
  • Code Snippet Creation
  • Natural Language Input Processing

Example prompts

  • "Generate a Swift function that calculates the factorial of a given number."
  • "Create a basic UIKit view controller with a button and label in Swift."
  • "Show me how to make an API call using URLSession in Swift."

Tips & gotchas

The quality of generated code depends heavily on the clarity and specificity of your prompts. Providing detailed instructions will yield more accurate and useful results.