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Swiftui

Checked
g1joshi·vlatest·frontend·MIT

Generates clean, functional SwiftUI code snippets from natural language descriptions, optimized for iOS development.

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 g1joshi/agent-skills --skill swiftui -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

g1joshi

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 g1joshi/agent-skills at 6a74cf03a8.

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

Scanned
1 file, 217 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 allows AI agents to generate SwiftUI code, a declarative framework for building user interfaces on Apple platforms. It can create basic UI elements like text views and buttons, as well as more complex layouts using stacks and other containers. The agent leverages this capability to rapidly prototype and build cross-platform applications for iOS, macOS, watchOS, and tvOS.

When to use it

  • Rapid Prototyping: Quickly generate basic UI mockups for mobile or desktop apps.
  • Cross-Platform Development: Create reusable UI components that can be adapted for different Apple devices.
  • Learning SwiftUI: Get assistance with understanding and implementing SwiftUI concepts.
  • Automated Code Generation: Generate repetitive UI code snippets to speed up development workflows.

Key capabilities

  • SwiftUI code generation
  • Creation of basic UI elements (text views, buttons)
  • Layout creation using stacks and containers
  • Cross-platform compatibility (iOS, macOS, watchOS, tvOS)

Example prompts

  • "Create a SwiftUI view with a title 'Hello World' in the center."
  • "Generate a button that displays the text 'Press Me'."
  • "Show me how to create a vertical stack of two text views."

Tips & gotchas

The agent’s output is based on current best practices, but may require adjustments depending on specific project requirements and Apple platform versions. Familiarity with SwiftUI concepts will help in interpreting and refining the generated code.