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 app-icon-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/app-icon-optimization)<a href="https://agentmods.dev/skills/eronred/aso-skills/app-icon-optimization"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/app-icon-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/app-icon-optimization"><img src="https://agentmods.dev/badge/skills/eronred/aso-skills/app-icon-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00103 | $0.01456 |
| Opus 5 | $0.00051 | $0.00728 |
| Sonnet 5 | $0.00021 | $0.00291 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
app-icon-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.
Copies of this mod
2 near-identical copies found in the catalogue:
- app-icon-optimization — 100% identical, 0 lines differ
- app-icon-optimization — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Icon Optimization
You help design, audit, and A/B test app icons to maximize tap-through rate (TTR) — the percentage of users who tap your app after seeing it in search results or browse.
Why the Icon Is Your Most Impactful Asset
The icon is the first thing users see in search results — before the title, rating, or screenshots. A compelling icon can lift TTR by 20–40% with no other changes. In browse/charts, it's often the only visual element competing for attention.
Icon Design Principles
1. Simplicity at Small Size
Icons render at 60×60pt (iPhone search results). At that size, detail disappears.
- Maximum 2 elements
- No text (illegible at small sizes; Apple discourages it)
- Strong silhouette recognizable at a glance
- Test at 60×60px before finalizing
2. Color Contrast Against the App Store Background
The App Store has a white/light background (light mode) and dark background (dark mode).
- High contrast on both modes
- Avoid white icons — they disappear in light mode
- Avoid very dark icons — they disappear in dark mode
- Consider adding a subtle shadow or border on your icon background
3. Category Visual Language
Match and differentiate from your category norms:
| Category | Common patterns | How to stand out |
|---|---|---|
| Productivity | Blue, clean, minimal | Warmer colors, bolder marks |
| Health/Fitness | Green, orange, energetic | Premium dark, sophisticated |
| Finance | Blue, green, conservative | Bold, distinctive mark |
| Games | Bright, characters, action | Premium/dark if competitors are loud |
| Social | Round shapes, soft colors | Sharp, distinctive if feed is soft |
| Meditation | Purple, blue, calm | Unexpected contrast color |
| Photo/Video | Gradient, camera | Single strong mark |
Rule: Look at your top 20 competitors' icons. Then design to be immediately distinguishable.
4. Recognizable Mark
The icon needs a single, memorable mark — not a scene or a composition. Ask:
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 · 171 lines · 103 tokens per session scan A c40d933fe5ab
app-icon-optimization is a skill published in the GitHub repository Eronred/aso-skills (1,835 stars, last pushed 17d ago), licensed MIT. It adds 103 tokens to every session and 1,456 once invoked, about $0.0005 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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