localization

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.

25 stars

Best use case

localization is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using localization should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/localization/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/Eronred/aso-skills/localization/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/localization/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How localization Compares

Feature / AgentlocalizationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

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 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:
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:**
- 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)

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

### 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

1. Submit localized metadata
2. Monitor keyword rankings in each market (weekly)
3. Track conversion rate by country
4. 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 market
- `metadata-optimization` — Write localized metadata
- `screenshot-optimization` — Localize screenshot designs
- `competitor-analysis` — Analyze local competitors

Related Skills

vscode-ext-localization

25
from ComeOnOliver/skillshub

Guidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practices

i18n-localization

25
from ComeOnOliver/skillshub

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

ios-localization

25
from ComeOnOliver/skillshub

Standards for String Catalogs, L10n, and Asset Management. Use when adding multi-language support using iOS String Catalogs or L10n workflows. (triggers: **/*.stringcatalog, **/*.xcassets, **/*.strings, LocalizedStringResource, NSLocalizedString, String(localized:))

flutter-localization

25
from ComeOnOliver/skillshub

Standards for multi-language support using easy_localization with CSV or JSON. Use when adding localization or multi-language support to Flutter apps. (triggers: **/assets/translations/*.json, **/assets/langs/*.csv, main.dart, localization, multi-language, translation, tr(), easy_localization, sheet_loader)

axiom-localization

25
from ComeOnOliver/skillshub

Use when localizing apps, using String Catalogs, generating type-safe symbols (Xcode 26+), handling plurals, RTL layouts, locale-aware formatting, or migrating from .strings files - comprehensive i18n patterns for Xcode 15-26

Daily Logs

25
from ComeOnOliver/skillshub

Record the user's daily activities, progress, decisions, and learnings in a structured, chronological format.

Socratic Method: The Dialectic Engine

25
from ComeOnOliver/skillshub

This skill transforms Claude into a Socratic agent — a cognitive partner who guides

Sokratische Methode: Die Dialektik-Maschine

25
from ComeOnOliver/skillshub

Dieser Skill verwandelt Claude in einen sokratischen Agenten — einen kognitiven Partner, der Nutzende durch systematisches Fragen zur Wissensentdeckung führt, anstatt direkt zu instruieren.

College Football Data (CFB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

College Basketball Data (CBB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

Betting Analysis

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for odds formats, command parameters, and key concepts.

Research Proposal Generator

25
from ComeOnOliver/skillshub

Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.