i18n-localization

Detect hardcoded strings and manage translation files for multi-language projects.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ntdev204/rai_ws --skill i18n-localization-ntdev204
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: i18n-localization
Source: https://github.com/ntdev204/rai_ws/tree/main/.agent/skills/i18n-localization
Command: npx skills add https://github.com/ntdev204/rai_ws --skill i18n-localization-ntdev204

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenges of making software applications accessible and usable by a global audience by managing internationalization (i18n) and localization (L10n) processes.

Core Features & Use Cases

  • Detects hardcoded strings: Identifies text directly embedded in code that should be translated.
  • Manages translation files: Organizes locale data in structured formats (e.g., JSON).
  • Supports RTL languages: Provides guidance on implementing right-to-left text direction.
  • Use Case: Ensure your web application can be seamlessly translated into Spanish, French, and Arabic by identifying all translatable strings and verifying that corresponding translation files exist and are correctly formatted.

Quick Start

Run the i18n checker script to audit your project for hardcoded strings and missing translations.

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?

Detecting hardcoded strings involves scanning your project to identify text directly embedded in code that should be extracted into translation files. This automated check ensures all translatable text is properly cataloged for multi-language support.

Can I use this i18n localization checker with React and Next.js frameworks?

Yes, this i18n localization checker supports multi-language translation management across various frameworks including React and Next.js. It ensures compliance with i18n best practices by validating that corresponding translation files exist and are correctly formatted.

What is the best way to manage translation files for multi-language web applications?

The best way to manage translation files is to organize locale data in structured formats like JSON. This approach ensures your web application can be seamlessly translated into languages like Spanish, French, and Arabic by maintaining correctly formatted translation files.

How do I implement right-to-left RTL layout support for Arabic localization?

Implementing right-to-left RTL layout support requires guidance on adjusting text direction for languages like Arabic. The localization process provides specific recommendations for implementing RTL layouts alongside standard left-to-right internationalization practices.

How do I audit my project for missing translations before deploying multi-language support?

Auditing for missing translations involves running a checker script that verifies all translatable strings have corresponding entries in your translation files. This automated verification ensures your application is fully localized and ready for global deployment.