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Swiftui Forms

Checked
arjenschwarz·vlatest·frontend

Generates SwiftUI form views with validation and data binding based on provided schema definitions.

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 arjenschwarz/agentic-coding --skill swiftui-forms -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

arjenschwarz

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 arjenschwarz/agentic-coding at 3a876e8068.

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

Scanned
1 file, 225 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 generate SwiftUI form code. It facilitates creating user interfaces with input fields, labels, and layouts using declarative Swift syntax. The generated forms can be customized based on provided specifications, allowing for dynamic UI creation within iOS or macOS applications.

When to use it

  • Generating a simple login form with username and password fields.
  • Creating a data entry form for collecting user information like name, email, and address.
  • Building a preference settings panel with checkboxes, text fields, and dropdown menus.
  • Rapidly prototyping UI elements for iOS or macOS applications.

Key capabilities

  • Generates SwiftUI code snippets.
  • Supports various input field types (text, password, checkbox, etc.).
  • Allows customization of form layout and appearance.
  • Creates forms based on provided specifications.

Example prompts

  • "Generate a SwiftUI form for collecting user feedback with fields for name, email, and message."
  • "Create a login form in SwiftUI with username and password input fields."
  • “Build a simple preference panel using SwiftUI forms with options for dark mode and notification settings.”

Tips & gotchas

The agent may require detailed specifications regarding the desired form elements and layout to generate accurate code. Ensure you provide clear instructions on the expected data types and validation rules for each field.