Assess and correct Russian text typography and editorial style across seven domains.
npx skills add https://github.com/talkstream/ru-text --skill ru-text-talkstream
Please help me install this Agent Skill. Skill: ru-text Source: https://github.com/talkstream/ru-text/tree/main Command: npx skills add https://github.com/talkstream/ru-text --skill ru-text-talkstream
ru-text helps AI editors ensure Russian text is typographically correct, clear, and suitable for UX, information, and business communication, activating automatically on Russian output.
Paste a Russian paragraph and let ru-text auto-check typography, flag stop-words, and suggest style improvements.
High-intent search queries and answers about installing and using this skill.
Russian text assessment is automated by applying over a thousand editorial rules across seven domains. It automatically corrects typography, flags stop-words, and suggests style improvements for UI strings, emails, and articles.
Improving Russian UX writing involves applying domain-aware guidance that evaluates microcopy against information style standards. The skill automatically flags stop-words and suggests style improvements specifically tailored for UI strings.
Yes, the skill supports business correspondence by applying domain-aware guidance for business writing. It ensures your Russian emails are typographically correct, clear, and suitable for professional communication.
Yes, the Russian editorial grammar tool works across major AI editors and platforms. It activates automatically on Russian output and runs locally while loading roughly 1,044 rules across seven domains.
To fix information style issues in Russian technical documentation, paste your text for an automatic check. The skill applies editorial rules, flags stop-words, and suggests style improvements tailored for technical articles.
You need automated Russian typography correction when generating UI strings, emails, or articles via AI. It ensures output is typographically correct and adheres to editorial rules across seven domains without manual proofreading.
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