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Localization Toolkit

CommunityPopular
zebbern
localization-toolkit

This skill should be used when setting up, auditing, or enforcing internationalization/localization in UI codebases (React/TS, i18next or similar, JSON locales), including installing/configuring the i18n framework, replacing hard-coded strings, ensuring en-US/zh-CN coverage, mapping error codes to localized messages, and validating key parity, pluralization, and formatting.

Overview

Publisherzebbern
Repositoryclaude-code-guide
Skill namelocalization-toolkit
Stars
4.6K
Forks
464
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zebbern on GitHub. Read the source before you install it.

Installation

Install the Localization Toolkit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zebbern/claude-code-guide.git /tmp/claude-code-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-guide/skills/localization-toolkit .claude/skills/localization-toolkit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Localization Toolkit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Localization Toolkit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Localization Toolkit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

I18n Expert

Overview

Deliver a complete i18n setup + audit pass: configure the i18n framework, replace user-facing strings with keys, ensure locale parity, and validate pluralization/formatting for en-US and zh-CN.

Core Capabilities

  • Library selection and setup (React, Next.js, Vue).
  • Key architecture and locale file organization.
  • Translation generation and quality strategy (AI, professional, manual).
  • Routing and language detection/switching.
  • SEO and metadata localization (when applicable).
  • RTL support (only if RTL locales are in scope).

Scope Inputs (ask if unclear)

  • Framework and routing style.
  • Existing i18n state (none, partial, legacy).
  • Target locales (default: en-US + zh-CN).
  • Translation quality needs (AI vs professional vs manual).
  • Locale formats in use (JSON, YAML, PO, XLIFF).
  • Formality/cultural requirements (if any).

Workflow (Audit -> Fix -> Validate)

  1. Confirm scope and locale targets
  • Identify the i18n framework and locale locations.
  • Confirm locales; default to en-US + zh-CN when specified.
  1. Setup i18n baseline (if missing)
  • Choose a framework-appropriate library (e.g., React: react-i18next; Next.js: next-intl; Vue: vue-i18n).
  • Install packages and create the i18n entry/config file.
  • Wire the provider at the app root and load locale resources.
  • Add a language switcher and persistence (route/param/localStorage) as appropriate.
  • Establish locale file layout and key namespaces.
  • If routing is locale-aware, define the locale segment strategy early (subpath, subdomain, query param).
  • If metadata is user-facing, include translation for titles/descriptions.
  1. Audit key usage and locale parity
  • Run:
    bash
    python scripts/i18n_audit.py --src <src-root> --locale <path/to/en-US.json> --locale <path/to/zh-CN.json>
  • Treat missing keys/parity gaps as blockers.
  • Manually verify dynamic keys (t(var)).
  1. Find raw user-facing strings
  • Search:
    bash
    rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "<[^>]+>[^<{]*[A-Za-z][^<{]*<"
    rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "aria-label=\"[^\"]+\"|title=\"[^\"]+\"|placeholder=\"[^\"]+\""
  • Localize accessibility labels.
  1. Replace strings with keys
  • Use t('namespace.key') for UI text.
  • For plurals use t('key', { count }) + _one/_other keys.
  • Use Intl/app formatters for time/date/number.
  1. Localize error handling (critical)
  • Map error codes to localized keys; show localized UI only.
  • Log raw error details only.
  • Provide localized fallback for unknown codes.
  1. Update locale files
  • Add missing keys in both locales.
  • Keep placeholders consistent; avoid renames unless requested.
  • Generate translations using the agreed method; preserve placeholders and plural rules.
  1. Validate
  • Re-run the audit until missing/parity issues are zero.
  • Validate JSON (e.g., python -m json.tool <file>).
  • Update tests asserting visible text.

Guardrails

  • Never expose raw error.message to UI; show localized strings only.
  • Do not add extra locales unless explicitly requested.
  • Prefer structured namespaces (e.g., errors.*, buttons.*, workspace.*).
  • Keep translations concise and consistent.
  • Some technical/brand terms should remain untranslated (e.g., product name, API, MCP, Bash).

Deliverables (expected outputs)

  • i18n config/provider wiring.
  • Locale files for each target language.
  • Replaced UI strings with stable keys.
  • Language switcher and persistence (if applicable).
  • Updated tests for visible text.

Architecture Guidance (keep concise)

  • Key structure: prefer nested namespaces by area (e.g., common.buttons.save, pricing.tier.pro).
  • File layout: one file per locale or per-locale namespaces; keep keys in sync across locales.
  • Placeholders: preserve {name}/{{name}} exactly; validate plurals by locale rules.
  • Formatting: use Intl/app helpers for date, time, number, and list formatting.
  • SEO/metadata: localize titles and descriptions if the app exposes them.
  • RTL: only needed for RTL locales; use logical CSS properties and test layout.
  • Non-web surfaces (Electron main-process dialogs, CLI prompts, native menus) need localization too.

Performance Notes (short)

  • Lazy-load locale bundles when the app supports it.
  • Split large locale files by namespace.

Failure Modes (watchlist)

  • Missing translations: fall back to default locale and log warnings.
  • RTL layout issues: verify logical CSS and test pages.
  • SEO missing: ensure alternates and metadata are localized when applicable.

Validation Checklist (short)

  • No missing keys and no raw UI strings.
  • Locale switching works and persists.
  • Plurals and formatting verified in both locales.
  • Fallback locale configured.

Resources

scripts/

  • scripts/i18n_audit.py: Extracts t('key') usage and compares against locale JSON files.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Localization Toolkit AI skill do?

This skill should be used when setting up, auditing, or enforcing internationalization/localization in UI codebases (React/TS, i18next or similar, JSON locales), including installing/configuring the i18n framework, replacing hard-coded strings, ensuring en-US/zh-CN coverage, mapping error codes to localized messages, and validating key parity, pluralization, and formatting.

Why use Localization Toolkit on TypingMind?

Because you install it once and use it with any model. Localization Toolkit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Localization Toolkit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zebbern/claude-code-guide/tree/main/skills/localization-toolkit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Localization Toolkit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Localization Toolkit?

As many as you like. As long as a model supports skills, you can use Localization Toolkit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Localization Toolkit AI skill free?

Yes. It is published on GitHub by zebbern under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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