i18n-localization

To detect hardcoded strings in your React application for internationalization, run the provided Python i18n checker script. It scans your project source code to identify untranslated text and checks your locale JSON or PO files for completeness.

The best way to structure translation files for software localization is using organized JSON or PO file formats. This Skill provides structural best practices and patterns to manage locale data efficiently, ensuring your application can be easily translated into multiple languages.

To implement RTL support for Right-to-Left languages like Arabic in Next.js, follow the included internationalization guidance. It covers specific implementation strategies and best practices for handling RTL text directionality within your web application frameworks.

Yes, you can use Python gettext for internationalization alongside your React frontend. This Skill provides comprehensive guidance covering Python gettext usage for backend services and implementation strategies for React frameworks to manage translations.

Missing locale data during the i18n setup process occurs when translation files are incomplete or hardcoded strings bypass the locale system. Use the provided Python checker script to audit your project, find missing translations, and verify locale file completeness.

Yes, you need Python installed to check your project for missing translations. The script provided by this Skill requires Python3 as a dependency to scan your codebase for hardcoded strings and verify the completeness of your localization files.