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Swiftui Expert

Checked
zekiwest·vlatest·frontend

Generates clean, efficient SwiftUI code snippets and complete views based on detailed descriptions and design 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 zekiwest/swiftui-expert-skill --skill swiftui-expert -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

zekiwest

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 zekiwest/swiftui-expert-skill at 50bbbbabda.

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

Commit
50bbbbabda
Manifest
swiftui-expert/SKILL.md
Scanned
1 file, 76 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 provides expert assistance with SwiftUI development. It can generate SwiftUI code snippets, debug existing code, and explain complex concepts related to building user interfaces for Apple platforms (iOS, macOS, watchOS, tvOS). The agent leverages its knowledge of SwiftUI's declarative syntax and framework components to assist developers of all levels.

When to use it

  • Need help writing a specific SwiftUI view or component?
  • Struggling with debugging an existing SwiftUI layout issue?
  • Want to understand the best practices for structuring SwiftUI projects?
  • Require explanations of advanced SwiftUI concepts like state management and animations?

Key capabilities

  • SwiftUI code generation
  • Debugging assistance
  • Conceptual explanations
  • Best practice recommendations

Example prompts

  • "Generate a SwiftUI view that displays a list of items fetched from an API."
  • "I'm getting an error in my SwiftUI layout. Can you help me debug it?"
  • "Explain how to use @State and @Binding in SwiftUI."

Tips & gotchas

The agent assumes familiarity with basic Swift programming concepts. Providing context about the target platform (iOS, macOS, etc.) will improve the quality of generated code.