ASO App Store Screenshots is a Claude Code skill that analyzes an iOS app’s code and simulator images, identifies its main benefits, and creates polished App Store screenshot designs. It is for app developers who want to produce promotional screenshots for app-store listings. The catalogue entries are the skill and instruction that define this screenshot-generation workflow.
Borrowing it
Nothing to install: this file belongs to adamlyttleapps/claude-skill-aso-appstore-screenshots. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adamlyttleapps/claude-skill-aso-appstore-screenshots/main/CLAUDE.mdgit clone --depth 1 https://github.com/adamlyttleapps/claude-skill-aso-appstore-screenshotsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/adamlyttleapps/claude-skill-aso-appstore-screenshots/claude-md)<a href="https://agentmods.dev/instructions/adamlyttleapps/claude-skill-aso-appstore-screenshots/claude-md"><img src="https://agentmods.dev/badge/instructions/adamlyttleapps/claude-skill-aso-appstore-screenshots/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/adamlyttleapps/claude-skill-aso-appstore-screenshots/claude-md"><img src="https://agentmods.dev/badge/instructions/adamlyttleapps/claude-skill-aso-appstore-screenshots/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00735 | $0.00735 |
| Opus 5.5 | $0.00294 | $0.00294 |
| Sonnet 5.5 | $0.00147 | $0.00147 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
claude-skill-aso-appstore-screenshots CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Is
A Claude Code skill (aso-appstore-screenshots) that guides users through creating high-converting App Store screenshots. It is invoked via the /aso-appstore-screenshots slash command from within a user's app project.
Architecture
Four files + one asset make up the skill:
- SKILL.md — The skill prompt. Defines a multi-phase workflow: Benefit Discovery → Screenshot Pairing → Generation. Uses Claude Code's memory system to persist state across conversations so users can resume mid-workflow. Generation first creates a deterministic scaffold via compose.py, then sends it to Nano Banana Pro for AI enhancement.
- compose.py — A standalone Python compositing script (Pillow-based) that deterministically renders App Store screenshots. Takes a background hex colour, action verb, benefit descriptor, and simulator screenshot path, then produces a pixel-perfect 1290×2796 PNG with headline text, device frame template, and the screenshot composited inside. The verb text auto-sizes to fit the canvas width.
- generate_frame.py — Generates the device frame template PNG (
assets/device_frame.png). Run once to create or update the template. The template is a 1290×2796 RGBA PNG with a black iPhone body, transparent screen cutout, Dynamic Island, and side buttons. - showcase.py — Generates a showcase image showing up to 3 final screenshots side-by-side with an optional GitHub link at the bottom. Used as the final step after all screenshots are approved.
- assets/device_frame.png — Pre-rendered iPhone device frame template used by compose.py. Using a template instead of drawing the frame at compose time ensures pixel-perfect consistency across all generated screenshots.
Running compose.py
# Requires: pip install Pillow
# Requires: SF Pro Display Black font at /Library/Fonts/SF-Pro-Display-Black.otf
python3 compose.py \
--bg "#E31837" \
--verb "TRACK" \
--desc "TRADING CARD PRICES" \
--screenshot path/to/simulator.png \
--output output.png \
--accent # optional: adds dark arc behind device
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 43 lines · 735 tokens per session scan A 72c62879516b
claude-skill-aso-appstore-screenshots CLAUDE.md is an instructions file published in the GitHub repository adamlyttleapps/claude-skill-aso-appstore-screenshots (1,814 stars, last pushed 7mo ago), licensed MIT. It adds 735 tokens to every session, about $0.0029 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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