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App Store Optimization

Checked
davila7·vlatest·marketing·MIT

Optimize app store listings with keyword research, A/B testing, and compelling descriptions for increased visibility and downloads.

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 davila7/claude-code-templates --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

davila7

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 davila7/claude-code-templates at 79182c51fb.

    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

The app-store-optimization skill helps AI agents analyze and improve the visibility of mobile applications within major digital marketplaces. It focuses on refining metadata, keywords, and visual assets to align with current store algorithms and user search behaviors.

When to use it

  • Pre-launching a new app to ensure initial discoverability in relevant categories.
  • Updating an existing listing after a significant feature release or seasonal demand shift.
  • Analyzing competitor strategies to identify high-performing keywords and descriptions.
  • Optimizing for specific regional markets with unique language nuances or cultural preferences.

Key capabilities

  • Keyword research and integration into titles, subtitles, and long descriptions.
  • Metadata structuring for better indexing by Apple App Store and Google Play algorithms.
  • A/B testing recommendations for app icons, screenshots, and promotional videos.
  • Localization strategies for multi-language app distributions.

Example prompts

  • "Analyze my current App Store listing and suggest 10 high-volume keywords to add to the description without stuffing."
  • "Generate three variations of an App Store subtitle that highlight our new AI features while staying within character limits."
  • "Compare my app's metadata against top competitors in the 'Productivity' category and identify gaps in my keyword strategy."

Tips & gotchas

Ensure your app has at least a few downloads before relying solely on ASO, as some metrics are weighted by user engagement data. Always test changes incrementally rather than overhauling the entire listing at once to track what drives actual conversion improvements.