Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+ linguistic atoms.
Install
npx skills add talkstream/ru-textgh skill install talkstream/ru-textgit clone --depth 1 https://github.com/talkstream/ru-textSkills in this collection
- Ru CheckArseniy KamyshevFull Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text. Returns findings with the rule behind each and a proposed replacement; never edits a file.
- Ru ScoreArseniy KamyshevScore Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number rather than a list of findings. Never edits a file.
- Ru TextArseniy KamyshevRussian text quality. Triggers: вычитай, проверь текст, поправь, отредактируй, причеши, ru-text. Typography silently on any Russian output; deeper editing on request. Info-style, editorial, UX writing, business correspondence, AI-text cleanup.