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App Store Optimization

Checked
xfstudio·vlatest·marketing

Boost app store visibility & downloads using data-driven keyword research and listing optimization from xfstudio.

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 xfstudio/skills --skill app-store-optimization -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

xfstudio

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 xfstudio/skills at 1bf6044db2.

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

Scanned
13 files, 6,000 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, provided by xfstudio, focuses on App Store Optimization (ASO). It helps improve the visibility and ranking of mobile applications within app stores like Apple's App Store and Google Play. The tool analyzes keywords, optimizes metadata, and provides insights to enhance an app’s discoverability. Ultimately, it aims to increase organic downloads and user acquisition for apps.

When to use it

  • New app launch: Optimize your app store listing before release to maximize initial visibility.
  • Declining downloads: Identify keywords and metadata issues hindering current performance.
  • Competitive analysis: Understand how competitor apps are optimized and identify opportunities.
  • Keyword research: Discover high-potential keywords relevant to your app's features and target audience.

Key capabilities

  • Keyword Analysis
  • Metadata Optimization
  • Competitive Insights

Example prompts

  • "Analyze the keyword 'photo editor' for my iOS photography app."
  • "Suggest improvements to the App Store description of my game, 'Galaxy Explorers'."
  • "What are the top keywords used by competing fitness apps?"

Tips & gotchas

This skill requires some understanding of mobile app marketing and ASO best practices. The quality of results depends on providing accurate information about your app and target audience.