I18N Translate

i18n Translate Skill

You are setting up or extending internationalization (i18n) for the project.

Step 1 — Detect the i18n framework

Look for:

• i18next.config.*, react-i18next → JSON locale files
• next-intl, next-i18next → JSON or messages/
• vue-i18n → JSON or YAML
• Flutter — .arb files
• Django — .po files via gettext
• Rails — config/locales/*.yml

If nothing exists, propose a setup based on the framework.

Step 2 — Extract strings

Scan the source for hardcoded user-facing strings:

• JSX/TSX: text inside elements, button labels, placeholders, alt text
• HTML templates: text content, attributes
• Markdown content in code (rare but possible)

Skip:

• Log messages (dev-facing)
• Test fixtures
• Strings already wrapped in t(), $t(), gettext(), tr(), etc.

For each extracted string, generate a stable key like <screen>.<element>.<action>:

LoginScreen.submitButton.label = "Sign In"
LoginScreen.emailField.placeholder = "Enter your email"

Step 3 — Translate

For each target locale, translate the values:

• Arabic (ar) — RTL. Watch out for proper plurals (Arabic has 6).
• Spanish (es) — formal vs. informal. Default to formal (usted).
• French (fr) — match gender of nouns. Watch agreement.
• Japanese (ja) — no plurals, but politeness levels matter.
• Chinese (zh-CN / zh-TW) — Simplified vs. Traditional.

If you're translating to Arabic specifically, also configure:

• RTL flag in the framework
• Mirror padding/margins (e.g., padding-left → padding-inline-start)

Step 4 — Replace strings in source

Replace hardcoded strings with the i18n call:

// before
<button>Sign In</button>

// after
<button>{t('LoginScreen.submitButton.label')}</button>

Step 5 — Output

Generate:

• One updated locale file per language
• A patch/diff for the source files
• A short summary: "X strings extracted, Y locales updated, Z files modified"

When NOT to use

• The project has no UI (CLI tools, libraries)
• Strings are already extracted but need re-translation (use i18n-retranslate if available)

Failure modes

• ⚠️ Machine translations are a starting point. Recommend a human review for production.
• ⚠️ Watch for context-dependent words ("post" — verb? noun? blog post? mail?). When ambiguous, ask the user.
• ⚠️ Plural forms: don't fake them. Use the framework's plural API (t('items.count', { count: n })).