app-store-screenshots is an AI agent skill that automates App Store screenshot generation for iOS developers. It eliminates manual cropping and formatting by integrating with coding assistants like Claude Code and Cursor. The tool creates marketing-ready assets for every Apple device requirement in minutes, not hours.
The skill scaffolds a Next.js project internally, generates advertisement-style screenshots with proper device frames, and exports them at all required resolutions. It also writes marketing-optimized copy tailored to your app’s features, removing the need for design skills or manual image editing.
Project Repository
Project link:
https://github.com/ParthJadhav/app-store-screenshots
How It Works: AI-Powered Screenshot Pipeline
app-store-screenshots transforms a tedious manual process into an automated workflow. You describe your app to your AI coding assistant, and the skill handles everything from copywriting to export.
The pipeline consists of five steps:
- App Description: You tell your AI agent what your app does.
- Project Scaffolding: The skill creates a temporary Next.js project with your app’s UI.
- Copy Generation: AI writes marketing-optimized copy for each screenshot.
- Device Framing: Automatically applies 3D device frames (iPhone, iPad).
- Multi-Resolution Export: Exports images at all required Apple App Store sizes.
Key technical features include AI agent integration with Claude Code, Cursor, and Windsurf; Next.js scaffolding for high-quality renders; an automated copywriting system; a device frame library; and batch export for all device resolutions.
The Verdict
app-store-screenshots addresses a critical bottleneck in iOS development: the gap between building a great app and presenting it effectively on the App Store. By automating this “stupid launch chore,” it lets developers ship faster with professional store assets. The real value isn’t just better screenshots—it’s removing a repetitive task that slows down shipping.
For iOS developers already using AI coding assistants, this skill eliminates a tedious manual process entirely. It’s a practical example of how AI agent skills can automate specific, painful workflows without requiring additional infrastructure or configuration.
