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Analyze real App Store Connect data v1.0.0

Use this resource to analyze your apps' real performance in App Store Connect

New

  • 354 downloads
  • 121 likes
  • 211 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install app-store-connect-performance-review

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads your synced App Store Connect data (downloads, revenue, subscriptions, trials), compares periods and finds the main markets. It also flags fragile revenue.

Mostly picked by

Updated November 2, 2026

Card for the “Analyze real App Store Connect data” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • SKILL.md: data retrieval per app and across the portfolio
  • SKILL.md: analysis frameworks (period comparison, daily trend, countries, revenue quality)

Good fit for

  • You want to understand your download and revenue figures
  • You track subscriptions and free trials

Not for

    Tags

    • app store connect
    • revenue
    • downloads
    • subscriptions

    About

    You say

    “Compare my app's downloads and revenue this month with last month.”

    Card for the “Analyze real App Store Connect data” skill

    Skill published by appeeky under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to analyze your apps' real performance in App Store Connect
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.4 KB

    Origin and licence

    Listed unmodified

    Author
    appeeky
    Source
    github.com/appeeky/aso-skills/tree/3919d7c27402d92c7ef698f2016174b874ea189e/skills/asc-metrics
    Licence
    MIT

    Notice

    « asc-metrics » (appeeky, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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