localization▌
eronred/aso-skills · updated Apr 8, 2026
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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.
App Store Localization
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.
Initial Assessment
- Check for
app-marketing-context.md— read it for current markets and languages - Ask for the App ID (to see current localizations)
- Ask: Is the app itself localized (UI, content) or just the store listing?
- Ask: Which markets are they considering?
- Ask: Budget — professional translation or AI-assisted?
Market Prioritization
Tier 1 Markets (highest ROI for most apps)
| 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 |
Tier 2 Markets (good potential)
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)
How to Choose
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? |
Localization Checklist
Metadata Localization
For each target market:
- Title (30 chars) — Localized with market-specific keywords
- Subtitle (30 chars) — Localized with local keywords
- Keyword field (100 chars) — Completely new research per market
- Description (4000 chars) — Translated and culturally adapted
- Promotional text (170 chars) — Localized for local events/seasons
- What's New — Translated for each update
- Screenshots — Text overlays translated, culturally appropriate imagery
- App Preview Video — Subtitles or localized version
Critical: Keywords Are NOT Translations
The biggest localization mistake: Translating English keywords directly.
Instead:
- Run
keyword-researchfor each target market separately - Understand how locals search (different terms, different intent)
- Use local autocomplete suggestions
- Check what local competitors use in their metadata
Example:
- English keyword: "budget tracker"
- German: "Haushaltsbuch" (household book) — NOT "Budget Tracker"
- Japanese: "家計簿" (household ledger) — completely different concept
- Spanish: "control de gastos" (expense control) — different framing
Cultural Adaptation
| 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) |
Localization Workflow
Phase 1: Research (per market)
- Analyze top 10 apps in your category in the target market
- Run keyword research with local seed terms
- Identify local competitors and their positioning
- Understand local App Store trends
Phase 2: Translation & Adaptation
For metadata (title, subtitle, keywords):
- Use native speakers with ASO knowledge (not just translators)
- Provide context: "This is an App Store title, must include [keyword]"
- Review with keyword data — does the translation include high-volume terms?
For description:
- Professional translation with cultural adaptation
- Not word-for-word — adapt examples, references, humor
- Maintain the same persuasive structure
For screenshots:
- Translate text overlays
- Adjust UI language if app is localized
- Consider local design preferences
Phase 3: Launch & Monitor
- Submit localized metadata
- Monitor keyword rankings in each market (weekly)
- Track conversion rate by country
- Iterate based on performance data
Output Format
Localization Plan
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 Prioritization Matrix
| Market | Size | Competition | Effort | Revenue | Score | Priority |
|---|
Related Skills
keyword-research— Run for each target marketmetadata-optimization— Write localized metadatascreenshot-optimization— Localize screenshot designscompetitor-analysis— Analyze local competitors
How to use localization on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add localization
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches localization from GitHub repository eronred/aso-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate localization. Access the skill through slash commands (e.g., /localization) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★42 reviews- ★★★★★Pratham Ware· Dec 28, 2024
localization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diya Singh· Dec 24, 2024
Keeps context tight: localization is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Menon· Dec 24, 2024
localization reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Fatima Verma· Dec 4, 2024
We added localization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Michael Singh· Nov 23, 2024
Useful defaults in localization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 19, 2024
Solid pick for teams standardizing on skills: localization is focused, and the summary matches what you get after install.
- ★★★★★Aisha Sanchez· Nov 15, 2024
localization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nia Mehta· Nov 7, 2024
I recommend localization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yuki Mehta· Oct 26, 2024
localization reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aanya Harris· Oct 14, 2024
localization has been reliable in day-to-day use. Documentation quality is above average for community skills.
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