i18n-localization

Detect hardcoded strings and manage translation files for React, Next.js, and Python.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/GrupoUS/gpus --skill i18n-localization-grupous
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: i18n-localization
Source: https://github.com/GrupoUS/gpus/tree/main/.claude/skills/i18n-localization
Command: npx skills add https://github.com/GrupoUS/gpus --skill i18n-localization-grupous

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps developers implement internationalization (i18n) and localization (L10n) in their applications, ensuring a consistent and translatable user experience across different languages and regions.

Core Features & Use Cases

  • Detect Hardcoded Strings: Identifies text directly embedded in code that should be translated.
  • Manage Translations: Provides patterns for organizing locale files (e.g., JSON, PO).
  • Support RTL: Offers guidance on implementing Right-to-Left language support.
  • Use Case: A web application needs to be translated into Spanish and Arabic. This Skill guides the developer on how to structure translation files, use i18n libraries (like react-i18next or gettext), and handle RTL layout for Arabic.

Quick Start

Run the i18n checker script to find hardcoded strings in your project.

Frequently Asked Questions about i18n-localization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect hardcoded strings in my codebase for internationalization?

To detect hardcoded strings for internationalization, you can run a checker script that scans your project to identify text directly embedded in code that should be extracted for translation. This enforces i18n best practices.

What is the best way to manage translation files for a multilingual application?

The best way to manage translation files is by using structured patterns for organizing locale formats like JSON or PO. This approach ensures scalable multilingual application development across different languages and regions.

Does this i18n approach support RTL layouts for languages like Arabic?

Yes, this i18n approach supports RTL layouts by offering specific guidance on implementing Right-to-Left language support. This ensures your web application handles Arabic and other RTL languages correctly.

Can I use these i18n patterns with my React and Next.js environment?

Yes, you can use these i18n patterns with React and Next.js environments. The approach enforces best practices for popular i18n libraries like react-i18next to ensure a consistent translatable user experience.

How do I implement localization in a Python application?

To implement localization in a Python application, this Skill provides patterns for managing translation files and using i18n libraries like gettext. It helps structure your code for scalable multilingual development.