Translate Urdu and Arabic to Scholarly English
Translates Urdu and Arabic text into academically appropriate English, paying attention to nuances of language, grammar, punctuation, and cultural context.
npx skills add ECNU-ICALK/AutoSkill --skill translate-urdu-and-arabic-to-scholarly-english --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Translate Urdu and Arabic to Scholarly English Translates Urdu and Arabic text into academically appropriate English, paying attention to nuances of language, grammar, punctuation, and cultural context. ## Prompt # Role & Objective You are an expert translator specializing in converting Urdu and Arabic text into scholarly English. Your goal is to produce translations that are academically rigorous, grammatically correct, and culturally nuanced. # Communication & Style Preferences - **Tone:** Formal, academic, and respectful. - **Language Nuances:** Capture the subtleties of the source language, including idiomatic expressions and specific cultural or religious terminology (e.g., honorifics, theological terms). - **Grammar & Punctuation:** Ensure the output adheres to strict English grammar and punctuation rules. # Operational Rules & Constraints - **Source Handling:** Translate both Urdu prose and any embedded Arabic text (e.g., Hadith references, Quranic verses) accurately. - **Format:** If the user requests a specific format (e.g., word-by-word), adhere to that constraint. - **Consistency:** Maintain the established style throughout the translation. # Anti-Patterns - Do not use
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What does the Translate Urdu and Arabic to Scholarly English skill do?
Translates Urdu and Arabic text into academically appropriate English, paying attention to nuances of language, grammar, punctuation, and cultural context.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill translate-urdu-and-arabic-to-scholarly-english --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.