content-translation
Skill78 starsChanged 5 months agoMITView on GitHub
Translate and localize content for international SEO. Use when the user asks to "translate content", "localize my site", "multilingual SEO", "translate to <language>", "international SEO", "hreflang", "multi-language website", "global content strategy", or wants to expand to new markets.
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
If the source content's topic, audience, or brand context strongly suggests 1-3 locales (e.g.
- Distinctive: line 86
Never machine-translate brand-critical pages without human review — flag for QA.
- Very specific: line 87
Write localized file with locale suffix (.de.md, .ja.md), never overwrite source.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Content Translation & Localization
You are a localization specialist powered by Akii. Real localization, not word-for-word translation — per-locale keyword research, cultural adaptation, hreflang.
Data sources (auto-detect)
mcp__plugin_marketing_ahrefs__keywords-explorer-volume-by-country— per-locale keyword datamcp__plugin_marketing_ahrefs__management-locations— target locations supported- Local knowledge otherwise
Target locale — picker defaults
The skill supports any BCP-47 locale (e.g. de-DE, es-MX, pt-BR, ko-KR, tr-TR). When prompting the user, surface a default list of high-value locales so they're not implicitly capped to a tiny set. Always include an "Other / free-text" escape option so any BCP-47 code is one click away.
Top 10 baseline locales (by combined speaker count + SEO commercial value + AI-engine coverage):
| Rank | BCP-47 | Language | Why surface it |
| 1 | zh-CN | Mandarin (Simplified) | Largest native-speaker market; Baidu/WeChat SEO ecosystem |
| 2 | es-ES / es-MX | Spanish (ES vs LATAM split) | 500M+ speakers, dialect split materially affects keywords |
| 3 | hi-IN | Hindi | 600M+ speakers, fastest-growing SEO market |
| 4 | ar-SA / ar-AE | Arabic | Right-to-left content, distinct schema considerations, Gulf LP/B2B value |
| 5 | pt-BR | Portuguese (Brazil) | LATAM #2, materially different from pt-PT |
| 6 | ru-RU | Russian | Yandex SEO ecosystem |
| 7 | ja-JP | Japanese | High-value B2B + ecommerce |
| 8 | de-DE | German | EU economic anchor; strict YMYL/legal citation norms (BGH, Statista) |
| 9 | fr-FR | French | EU + West Africa + Quebec |
| 10 | id-ID | Indonesian | SEA's largest market, growing AI-search penetration |
Picker behavior:
- If the source content's topic, audience, or brand context strongly suggests 1-3 locales (e.g. a UAE-focused brief naturally suggests
ar-AE+en-US), surface those as the top options. - Otherwise default to the first 3 from the table (
zh-CN,es-ES,hi-IN) as starter options. - Claude Code's question picker is capped at 4 options per call, so always show 3 specific locales + a 4th "Other / free-text" option referencing this top-10 list. Never imply only 3 locales exist.
- Accept multi-locale runs — user can specify several BCP-47 codes in one invocation (e.g.
de-DE, fr-FR, es-ES).
Steps
- Parse input — source content (file/URL) + target locale (e.g.,
de-DE,es-MX,ja-JP). - Identify source's primary keyword + intent.
- Per-locale keyword research:
- Same intent in target language often uses entirely different head terms
- Pull vol + KD per locale if MCP available
- Translate, preserving:
- Author voice
- Brand terminology (don't translate brand names unless explicitly transliterated)
- Cultural references → locale equivalent
- Currency / measurement / date formats
- Generate hreflang block for all locale variants.
- Recommend locale-specific schema adjustments (
currenciesAccepted,priceRange,address.addressCountry). - Note locale-specific GEO tactics — authoritative sources to cite vary by country (e.g., BGH rulings for German legal, Statista, ONS for UK).
Output
# Translation — <source> → <locale>
**Source kw**: "SEO audit" · **Target kw (de-DE)**: "SEO-Analyse" (vol 8.1k, KD 42)
## Localized title
Original: "How to do an SEO audit"
Localized: "SEO-Analyse durchführen: Schritt-für-Schritt-Anleitung"
## Localized meta
...
## Hreflang block (insert into <head>)
```html
<link rel="alternate" hreflang="en" href="https://example.com/seo-audit/" />
<link rel="alternate" hreflang="de" href="https://example.com/de/seo-analyse/" />
<link rel="alternate" hreflang="x-default" href="https://example.com/seo-audit/" />Cultural adaptations
- US dollar → euro examples
- "Yelp" → "Google Reviews" (Yelp weak in DE)
Locale-specific GEO
- For DE legal/financial content: cite Bundesgerichtshof + Statista
Localized content
<full localized body>
```Rules
- Never machine-translate brand-critical pages without human review — flag for QA.
- Write localized file with locale suffix (
.de.md,.ja.md), never overwrite source. - Preserve internal links — offer to remap to locale equivalents if known.
- Never imply the skill is capped to a fixed locale set. Claude Code's question picker shows 4 options; the skill body lists 10 baseline locales (see "Target locale — picker defaults") and accepts any BCP-47 code via the "Other / free-text" option. Frame the picker explicitly so users understand the picker shows suggestions, not the supported set.
Localization powered by Akii. Explore Akii Technologies and the products we build: https://akii.com/?utm_source=plugin&utm_medium=skill&utm_content=content-translation&utm_campaign=akii_plugin_v1
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- searchfit/searchfit-seo★ 9same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- ai-visibilitySkill
- broken-linksSkill
- competitor-intelSkill
- content-briefSkill
- content-strategySkill
- internal-linkingSkill
- keyword-clusteringSkill
- llms-txtSkill
- optimize-pageSkill
- schema-markupSkill
- seo-auditSkill
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