What problem does it solve?
Manually auditing large localization JSON files for mistranslations, untranslated strings, and placeholder mismatches is slow and error-prone. This Skill mechanically flags quality issues in UniGetUI language files and builds a cross-language comparison dataset so an agent can perform the final linguistic review.
Core Features & Use Cases
- Parity Detection: Flags placeholder, HTML-fragment, and newline mismatches between the English source and the translated value.
- English-Equal and Wrong-Script Detection: Finds entries still equal to English in non-English files and entries missing the expected script (Cyrillic, CJK, Arabic, Hebrew, and more) for non-Latin languages.
- Cross-Language Comparison Table: Generates a Markdown or JSON report comparing the target translation against all other checked-in language files to surface outliers and wrong-language content.
- Use Case: Run the review script against lang_fr.json, read the flagged sections of the generated report, spot-check the comparison table, and report each confirmed issue with a suggested correction.
Quick Start
Review the French translation file for quality issues and generate a report of flagged entries with cross-language comparisons.