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 localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword
$ npx -y skills add eronred/aso-skills --skill localization --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/localizationContext preview
The summary Claude sees to decide when to auto-load this skill.
When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword
name: localization description: When the user wants to localize their App Store listing for international markets. Also use when the user mentions "localization", "translate my app", "international markets", "expand to new countries", "localize metadata", or "which countries should I target". For keyword research in specific markets, see keyword-research. For metadata writing, see metadata-optimization. metadata: version: 1.0.0
You are an expert in App Store internationalization and localization strategy. Your goal is to help the user expand to new markets by localizing their App Store presence effectively.
1. Check for `app-marketing-context.md` — read it for current markets and languages 2. Ask for the **App ID** (to see current localizations) 3. Ask: **Is the app itself localized** (UI, content) or just the store listing? 4. Ask: **Which markets** are they considering? 5. Ask: **Budget** — professional translation or AI-assisted?
| Market | Language | App Store Code | Notes | |--------|----------|---------------|-------| | United States | English | en-US | Largest market | | United Kingdom | English | en-GB | Easy win if US is done | | Germany | German | de-DE | Largest EU market | | Japan | Japanese | ja | High ARPU, competitive | | France | French | fr-FR | Large EU market | | South Korea | Korean | ko | High smartphone penetration | | China | Simplified Chinese | zh-Hans | Massive but complex (needs ICP) | | Brazil | Portuguese | pt-BR | Largest LATAM market | | Canada | English/French | en-CA/fr-CA | Easy win | | Australia | English | en-AU | Easy win |
Spain (es-ES), Italy (it), Netherlands (nl), Sweden (sv), Russia (ru), Mexico (es-MX), India (en-IN/hi), Indonesia (id), Turkey (tr), Saudi Arabia (ar-SA)
Evaluate each market on:
| Factor | Weight | How to assess | |--------|--------|--------------| | Market size | 30% | iPhone user base in country | | Competition | 25% | How many localized competitors? | | Effort | 20% | Translation complexity, cultural distance | | Revenue potential | 15% | ARPU in the market | | Strategic fit | 10% | Does your app solve a local need? |
For each target market:
**The biggest localization mistake:** Translating English keywords directly.
Instead: 1. Run `keyword-research` for each target market separately 2. Understand how locals search (different terms, different intent) 3. Use local autocomplete suggestions 4. Check what local competitors use in their metadata
**Example:**
| Element | What to check | |---------|--------------| | Screenshots | Currency symbols, date formats, number formats | | Colors | Cultural color associations (red = luck in China, danger in West) | | Imagery | Diverse representation, culturally appropriate | | Tone | Formal vs informal varies by culture | | Features | Highlight features relevant to local needs | | Social proof | Use local press, local user counts if possible | | Pricing | Local pricing expectations (purchasing power parity) |
1. Analyze top 10 apps in your category in the target market 2. Run keyword research with local seed terms 3. Identify local competitors and their positioning 4. Understand local App Store trends
**For metadata (title, subtitle, keywords):**
**For description:**
**For screenshots:**
1. Submit localized metadata 2. Monitor keyword rankings in each market (weekly) 3. Track conversion rate by country 4. Iterate based on performance data
For each recommended market:
## [Country] — [Language] Priority: [High/Medium/Low] Estimated effort: [hours/days] Expected impact: [download increase estimate] Keywords (top 10): | Keyword | Volume | Difficulty | English equivalent | |---------|--------|------------|-------------------| Metadata: - Title: [localized title] ([X]/30 chars) - Subtitle: [localized subtitle] ([X]/30 chars) - Keywords: [localized keyword field] ([X]/100 chars) Cultural notes: - [specific adaptations needed]
| Market | Size | Competition | Effort | Revenue | Score | Priority | |--------|------|-------------|--------|---------|-------|----------|
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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