ab-test-store-listing
When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B test", "product page…
When the user wants to design, optimize, or evaluate App Store screenshots and preview videos. Also use when the user mentions "screenshots", "app preview", "product page design", "screenshot design", "creative assets", or "what should my screenshots show". For A/B testing
$ npx -y skills add eronred/aso-skills --skill screenshot-optimization --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/screenshot-optimizationContext preview
The summary Claude sees to decide when to auto-load this skill.
When the user wants to design, optimize, or evaluate App Store screenshots and preview videos. Also use when the user mentions "screenshots", "app preview", "product page design", "screenshot design", "creative assets", or "what should my screenshots show". For A/B testing
name: screenshot-optimization description: When the user wants to design, optimize, or evaluate App Store screenshots and preview videos. Also use when the user mentions "screenshots", "app preview", "product page design", "screenshot design", "creative assets", or "what should my screenshots show". For A/B testing screenshots, see ab-test-store-listing. For full ASO audit, see aso-audit. metadata: version: 1.0.0
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.
1. Check for `app-marketing-context.md` — read it for positioning and audience 2. Ask for the **App ID** (to see current screenshots) 3. Ask for **target audience** — who is browsing the App Store for this? 4. Ask for **top 3 features** they want to highlight 5. Ask if they have a **designer** or need guidance for DIY
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:** 1. "Does this solve my problem?" (first screenshot) 2. "Is it easy to use?" (UI clarity) 3. "Is it worth downloading?" (social proof, quality signals)
The first screenshot is the most important. It should answer "What does this app do and why should I care?"
**Effective patterns:**
**Avoid:**
Show the 2 most compelling features with benefit-driven captions.
Each screenshot = one feature with a clear benefit headline.
**Formula:** `[Benefit Headline] + [Feature UI] + [Supporting Detail]`
| Do | Don't | |----|-------| | Benefit-driven headlines | Feature names ("Push Notifications") | | 4-6 words per headline | Long paragraphs | | Large, readable font (min 60px) | Small text that's unreadable | | High contrast text | Text over busy backgrounds | | Consistent font and style | Mixed fonts and sizes |
| Do | Don't | |----|-------| | Clean, uncluttered UI | Busy screens with too much data | | Consistent color scheme | Clashing colors | | Modern device frames (or frameless) | Outdated device frames | | Real app content (not lorem ipsum) | Placeholder or empty states | | Dark mode if your app supports it | Ignoring dark mode users |
**Portrait (recommended for most apps):**
**Landscape (games, video, productivity):**
For each of the 10 slots:
Slot [N]: [Headline] - Caption: "[benefit-driven text]" - Screen: [which app screen to show] - Layout: [portrait/landscape, device frame, text position] - Key element: [what draws the eye]
If the user needs to brief a designer:
| Element | Your App | Comp 1 | Comp 2 | Comp 3 | |---------|----------|--------|--------|--------| | # of screenshots | | | | | | Has video? | | | | | | First screenshot type | | | | | | Text overlay style | | | | | | Design quality (1-10) | | | | | | Unique angle | | | | |
AI agent skills for App Store Optimization (ASO) and mobile app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent Skills-compatible AI assistant to help with keyword research, metadata
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