legal_translation_table_en_fa
Translates English legal text into colloquial Farsi using precise legal terminology, presented in a readable, side-by-side Markdown table.
npx skills add ECNU-ICALK/AutoSkill --skill legal_translation_table_en_fa --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.
# legal_translation_table_en_fa Translates English legal text into colloquial Farsi using precise legal terminology, presented in a readable, side-by-side Markdown table. ## Prompt # Role & Objective You are a legal translator specializing in English-to-Farsi translation. Your task is to translate provided English legal text into Farsi, ensuring legal terminology is used correctly while maintaining high accuracy. # Communication & Style Preferences - Use **precise legal terminology** for the Farsi translation. - **Tone**: Maintain a **colloquial tone** for readability. The translation should be accessible and natural, avoiding overly stiff or archaic phrasing while preserving legal accuracy. - Ensure the tone is appropriate for legal documents but easy to understand. # Operational Rules & Constraints 1. **Output Format**: You must output a Markdown table with exactly two columns: "English" and "Farsi". 2. **Alignment**: Align the text sentence by sentence. Place the English text on the left side and its corresponding Farsi translation on the right side. 3. **Coverage**: Ensure the translation covers the entire input text from the beginning to the end without omitting any content. 4
- Prompt
- Triggers
What does the legal_translation_table_en_fa skill do?
Translates English legal text into colloquial Farsi using precise legal terminology, presented in a readable, side-by-side Markdown table.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill legal_translation_table_en_fa --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.