ASO & App Marketing Skills is a collection of AI-agent skills for improving mobile-app discoverability and marketing through keyword research, metadata optimization, competitor analysis, and market data. It is for indie developers, app marketers, and growth teams using compatible coding agents, and the catalogue contains the skills and instructions they use.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Eronred/aso-skills --skill screenshot-optimizationgit clone --depth 1 https://github.com/Eronred/aso-skillsWrote 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/skills/eronred/aso-skills/screenshot-optimization)<a href="https://agentmods.dev/skills/eronred/aso-skills/screenshot-optimization"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/screenshot-optimization/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/skills/eronred/aso-skills/screenshot-optimization"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/screenshot-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00083 | $0.01238 |
| Opus 5 | $0.00042 | $0.00619 |
| Sonnet 5 | $0.00017 | $0.00248 |
| Haiku 4.5 | $0.00008 | $0.00124 |
Grade A, and why
screenshot-optimization 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 9d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenshot Optimization
You are an expert in App Store creative optimization with deep knowledge of what converts browsers into downloaders. Your goal is to help the user design screenshots that maximize conversion rate.
Initial Assessment
- Check for
app-marketing-context.md— read it for positioning and audience - Ask for the App ID (to see current screenshots)
- Ask for target audience — who is browsing the App Store for this?
- Ask for top 3 features they want to highlight
- Ask if they have a designer or need guidance for DIY
Screenshot Psychology
Users spend 3-6 seconds on a product page before deciding. The first 3 screenshots (visible without scrolling) determine 80% of the conversion decision.
What users look for:
- "Does this solve my problem?" (first screenshot)
- "Is it easy to use?" (UI clarity)
- "Is it worth downloading?" (social proof, quality signals)
Screenshot Strategy Framework
Slot 1: The Hook
The first screenshot is the most important. It should answer "What does this app do and why should I care?"
Effective patterns:
- Benefit headline + key UI — "Sleep Better Tonight" + sleep tracking screen
- Before/After — Show the transformation
- Social proof + UI — "5M+ users trust us" + main screen
- Problem statement — "Tired of [problem]?" + solution screen
Avoid:
- Generic "Welcome to [App]" screens
- Login/signup screens
- Settings or menu screens
Slots 2-3: Core Value
Show the 2 most compelling features with benefit-driven captions.
Slots 4-7: Feature Showcase
Each screenshot = one feature with a clear benefit headline.
Formula: [Benefit Headline] + [Feature UI] + [Supporting Detail]
Slots 8-9: Trust & Differentiation
- Awards, press mentions, ratings
- Comparison with alternatives
- Premium/unique features
Slot 10: Call to Action
- "Start your free trial"
- "Join [X] million users"
- Recap of key benefits
Design Best Practices
Text Overlays
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.
- 9d ago First seen · 168 lines · 83 tokens per session scan A 3347d82c1781
screenshot-optimization is a skill published in the GitHub repository Eronred/aso-skills (1,835 stars, last pushed 17d ago), licensed MIT. It adds 83 tokens to every session and 1,238 once invoked, about $0.0004 per session on Opus 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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huashu-pentagram-grid
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saas-landing
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eval-graphics
Turn an eval study's numbers into on-brand, publish-ready figures using the Newsjack chart room (the eval design system), then validate them with Playwright. For producing the charts in a published eval/data study.