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Mobile

Checked
salavender·vlatest·frontend·MIT

Dynamically adjusts website layouts and content based on mobile device characteristics using responsive design principles.

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 salavender/antigravity-compound-engineering-plugin --skill mobile -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

salavender

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 salavender/antigravity-compound-engineering-plugin at efdc742334.

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

Commit
efdc742334
Manifest
skills/mobile/SKILL.md
Scanned
1 file, 24 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 salavender-mobile skill enables AI agents to generate mobile application code. It can produce code for iOS and Android platforms, allowing for rapid prototyping and development of basic mobile functionality. This skill is designed to streamline the creation of simple mobile apps by automating much of the coding process.

When to use it

  • Creating a prototype mobile app quickly to test an idea.
  • Generating boilerplate code for a new mobile project.
  • Automating repetitive tasks in mobile development, such as creating basic UI elements.
  • Building simple mobile apps with limited functionality.

Key capabilities

  • iOS Code Generation
  • Android Code Generation
  • Rapid Prototyping
  • Basic UI Element Creation

Example prompts

  • "Generate the code for a simple iOS app with a button that displays an alert when pressed."
  • "Create Android code for a screen showing a list of items fetched from a placeholder API."
  • “Write the basic layout for an Android application with a text input field and a submit button.”

Tips & gotchas

The generated code is intended as a starting point and may require further refinement and customization. Due to its focus on rapid generation, complex features or advanced platform-specific optimizations are not included.