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Swiftui Ssot

Checked
xtone·vlatest·frontend

SwiftUI-SSOT by xtone streamlines state management in SwiftUI apps, reducing boilerplate and improving data consistency.

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 xtone/ai_development_tools --skill swiftui-ssot -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

xtone

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 xtone/ai_development_tools at e3603755a4.

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

Scanned
2 files, 448 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, swiftui-ssot, provides capabilities for SwiftUI development using a shared state management pattern. It allows AI agents to generate and manipulate SwiftUI code that leverages @StateObject and @EnvironmentObject for data sharing across views. This simplifies the process of building complex user interfaces with interconnected components.

When to use it

  • Generating SwiftUI view hierarchies where data needs to be shared between multiple screens or subviews.
  • Creating reusable UI components that rely on a central source of truth for their data.
  • Automating the creation of SwiftUI applications with consistent state management practices.
  • Building prototypes and experimenting with different SwiftUI layouts quickly.

Key capabilities

  • SwiftUI code generation
  • @StateObject usage
  • @EnvironmentObject usage
  • Shared State Management

Example prompts

  • "Create a SwiftUI app with two views: one displaying a counter, and another that increments it."
  • "Generate a reusable SwiftUI button component that updates a shared user preference."
  • "Show me how to use @EnvironmentObject to share data between a settings view and the main content view in SwiftUI."

Tips & gotchas

The AI agent will likely require some understanding of SwiftUI concepts like views, layouts, and data flow. Providing context about the desired application's structure can improve the generated code’s quality.