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Write natural, human-sounding Persian (Farsi) and build correct right-to-left Persian deliverables. Use for ANY task involving Persian text or an Iranian audience: writing, editing, translating, humanizing, SEO content and copywriting (سئو، کپیرایتینگ، لندینگ), academic papers/theses, and Persian output in Word/.docx, PDF, PowerPoint, HTML, Excel, images/posters, emails, social posts. Covers register detection (رسمی/اداری/محاوره/علمی — errors here are costly), Persian AI-tell removal, orthography (نیمفاصله/ZWNJ، اعداد فارسی، «گیومه»), cleanup and spell-check (ویرایش، پاکسازی — bundled paknevis+davat toolkit), RTL layout/pagination fixes, and Persian fonts (Vazirmatn bundled). Trigger whenever you see Persian/Arabic script or words like فارسی, Farsi, Persian, Iran, RTL, راستچین, نیمفاصله, ویرایش, مقاله, پایاننامه, سئو, کپشن, Vazirmatn — even if the user never mentions this skill.
persian-writing is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Persian Writing & RTL Documents Two failure modes make Persian output look machine-made, and they are independent: 1. **The prose sounds like AI.** Technicall. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding persian-writing to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install ali2000hos/persian-writingReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Persian Writing & RTL Documents Two failure modes make Persian output look machine-made, and they are independent: 1. **The prose sounds like AI.** Technically correct, but stiff