What are the software requirements?

You will need Python 3 and the Pillow (PIL) library installed on your local machine.

Does it support high-resolution screenshots?

Yes, the skill uses alpha channel detection which works accurately across 1x, 2x, and 3x Retina resolutions.

Does it work with Android emulators?

Yes, as long as the emulator capture utilizes an alpha channel to define the boundary between the window chrome and the device content.

Can I process multiple images at once?

Absolutely. The script supports batch processing using file patterns and wildcards like ~/Desktop/*.png.

Simulator Screenshot Cropper

Name: Simulator Screenshot Cropper
Author: sean-sunagaku

bysean-sunagaku

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Mobile Development

Automatically removes the macOS window title bar from iOS and Android simulator screenshots for clean app presentation.

This skill provides an automated utility to strip away the window 'chrome' and title bars from mobile simulator screenshots. By leveraging alpha channel analysis, it intelligently detects the boundary between the simulator's frame and the device screen, ensuring pixel-perfect crops regardless of screen resolution (1x, 2x, or 3x). It is an essential tool for developers and designers who need to quickly prepare app screenshots for store submissions, documentation, or marketing materials without manual editing.

主要功能

01Resolution-independent cropping for 1x, 2x, and 3x displays

0232 GitHub stars

03Customizable output directories and file naming conventions

04Bulk processing of multiple screenshots via command line

05Support for both iOS Simulator and Android Emulator captures

06Automatic title bar detection via alpha channel analysis

使用场景

01Automating the cleanup of UI design previews for stakeholder presentations

02Removing distracting window frames from screenshots used in technical documentation

03Preparing clean app screenshots for Apple App Store or Google Play Store submissions

主要功能

01Resolution-independent cropping for 1x, 2x, and 3x displays

0232 GitHub stars

03Customizable output directories and file naming conventions

04Bulk processing of multiple screenshots via command line

05Support for both iOS Simulator and Android Emulator captures

06Automatic title bar detection via alpha channel analysis

使用场景

01Automating the cleanup of UI design previews for stakeholder presentations

02Removing distracting window frames from screenshots used in technical documentation

03Preparing clean app screenshots for Apple App Store or Google Play Store submissions