App Store Assets Skill for Claude
Comprehensive App Store asset specifications and guidelines for all promotional artwork — app icons, screenshots, app previews, event cards, subscription images, and featuring artwork. Use when preparing assets for App Store Connect upload.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/rshankras/claude-code-apple-skills --skill app-store-assetsThe instruction itself
5 sections, as written by the authorApp Store Assets Generator
Generate complete asset specifications, design guidelines, and checklists for all App Store Connect promotional artwork and media.
When This Skill Activates
Use this skill when the user:
- Asks about "App Store asset specs" or "screenshot sizes"
- Mentions "app preview" video requirements
- Wants to know "what images do I need" for App Store
- Preparing assets for submission or update
- Asks about "featuring artwork" or "subscription images"
- Needs a comprehensive asset checklist
Configuration Questions
Ask user via AskUserQuestion:
- Which platforms? (multi-select)
- iPhone
- iPad
- Mac
- Apple Watch
- Apple TV
- Apple Vision Pro
- What assets do you need?
- App icon
- Screenshots
- App preview video
- In-App Event card images
- Subscription promotional images
- Custom Product Page assets
- All of the above
Output Format
Read specs-reference.md and generate a customized asset checklist for the user's platforms.
# App Store Asset Checklist: [App Name]
## Required Assets
### App Icon
| Spec | Value |
|------|-------|
| Size | 1024 x 1024 px |
| Format | PNG |
| Color space | sRGB or Display P3 |
| Layers | Flat (no transparency, no rounded corners) |
| Shape | Square (system applies mask) |
### Screenshots: [Platform]
[Platform-specific requirements]
### App Preview (Optional but Recommended)
[Video specifications]
## Promotional Assets
### In-App Event Card
[Specs if applicable]
### Subscription Image
[Specs if applicable]
## Production Checklist
- [ ] All sizes prepared
- [ ] Localizations ready
- [ ] Tested on actual devices for readability
- [ ] Compliant with Apple content guidelines
References
- specs-reference.md — Complete specifications for all asset types
- Related:
app-store/screenshot-planner— Screenshot strategy and captioning - Related:
generators/in-app-events— Event card design guidance - Related:
generators/custom-product-pages— CPP-specific asset planning
Other skills for the same job
different authors, same section of the catalogue
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
How to use it
Take rshankras/app-store-assets from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.