| name | content-localizer |
| description | Content localization between Japanese and English — not just translation but cultural adaptation, market-specific references, and platform conventions for each language market. Expand reach to international audiences or localize overseas content for Japanese readers. Use when this capability is needed. |
| metadata | {"author":"Gaura3560"} |
Content Localizer
Expand your content to new language markets — culturally adapted, not just translated.
When to Activate
- User says
/translate {file} en or /translate {file} ja
- User says
/localize {file} {target_lang}
- User asks "translate this to English"
- User asks "localize this overseas article for Japanese readers"
Prerequisites
~/.content-autopilot/profile.json must exist
- Source content file to localize
Commands
/translate {file_path} en — Localize Japanese content for English market
/translate {file_path} ja — Localize English content for Japanese market
/translate — Interactive: select source and target
Localization vs Translation
| Aspect | Translation | Localization (what we do) |
|---|
| Text | Word-for-word conversion | Meaning-preserving adaptation |
| Examples | Keep original references | Replace with locally relevant ones |
| Data | Same statistics | Add local market data |
| Humor | Direct translation (often fails) | Culturally appropriate equivalent |
| CTA | Same call to action | Platform-appropriate CTA |
| Length | ~Same | Adjusted for platform norms |
| SEO | Same keywords translated | Locally researched keywords |
Workflow
Step 1: Load Source Content
Read the file and identify:
- Source language (auto-detect from content)
- Content type (article, thread, caption)
- Key concepts, data, examples, references
- Cultural references that need adaptation
Step 2: Cultural Analysis
Identify elements that need localization:
Cultural Adaptation Required:
1. Reference: "note.com" → English equivalent
Adaptation: "Medium" or "Substack" (similar platform)
2. Data: "Japanese market: 80% of..."
Adaptation: Add global/US market equivalent data
3. Example: "{Japanese company case study}"
Adaptation: Replace with internationally known equivalent
4. Idiom: "{Japanese expression}"
Adaptation: English equivalent that carries the same meaning
5. Platform: note → Medium, X stays X, Instagram stays Instagram
Step 3: Localize Content
Japanese → English:
Adaptations:
- Replace Japanese market data with global/US equivalents
- Swap Japanese case studies for international ones
- Adjust currency (¥ → $) with approximate equivalents
- Use English platform conventions (Medium instead of note)
- Add context for Japan-specific concepts
- Research English SEO keywords for the topic
- Adjust tone (Japanese professional → English professional)
English → Japanese:
Adaptations:
- Add Japanese market context and data
- Replace Western case studies with Japanese or Asian equivalents
- Adjust currency ($ → ¥)
- Use Japanese platform conventions (note instead of Medium)
- Explain Western concepts that may be unfamiliar
- Research Japanese SEO keywords
- Adjust tone to match Japanese content norms
- Localize humor and cultural references
Step 4: Platform Adaptation
Adjust for platform conventions in the target market:
| Platform | Japanese Market | English Market |
|---|
| Long-form | note | Medium, Substack |
| Short-form | X (same) | X (same) |
| Visual | Instagram (same) | Instagram (same) |
| Hashtags | Japanese + some English | English + trending tags |
| CTA style | Polite, indirect | Direct, action-oriented |
| Emoji | Common in business | More casual, less in B2B |
Step 5: SEO Localization
Research target-language keywords:
Search: "{topic}" in {target_language}
Search: "{keyword} {target_language} trends"
Replace keywords in:
- Title
- Headings
- First paragraph
- CTA
Step 6: Save Output
~/Desktop/content-autopilot-output/
localized_{lang}_{original_filename}
Example: localized_en_note_2026-03-20.md
Step 7: Display Result
============================================
Content Localized
============================================
Source: {source_lang} — "{original_title}"
Target: {target_lang} — "{localized_title}"
Adaptations made:
- {count} cultural references adapted
- {count} data points localized
- {count} examples replaced
- SEO keywords: {target_lang_keywords}
Output: ~/Desktop/content-autopilot-output/localized_{lang}_{filename}
--- Quality Check ---
[ ] Cultural references are appropriate for {target_market}
[ ] Data points are accurate for {target_market}
[ ] Tone matches {target_market} conventions
[ ] SEO keywords researched for {target_lang}
============================================
Integration with Other Skills
- trend-scout: Source English articles → localize for Japanese market
- repurpose: Can chain with repurpose (translate + platform-adapt)
- competitor-scout: Compare with {target_market} competitors
- content-analytics: Track localized content separately in history
Quality Gate
Source: Gaura3560/content-autopilot — distributed by TomeVault.