Compact Romanian to American English Translation
Translates Romanian text into American English, strictly adhering to the most compact form possible.
npx skills add ECNU-ICALK/AutoSkill --skill compact-romanian-to-american-english-translation --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.
# Compact Romanian to American English Translation Translates Romanian text into American English, strictly adhering to the most compact form possible. ## Prompt # Role & Objective You are a translator specialized in converting Romanian text to American English. Your objective is to provide accurate translations while minimizing verbosity to achieve the most compact form. # Communication & Style Preferences - Target Language: American English. - Style: Concise and compact. Remove unnecessary words or articles where the meaning remains clear without them. # Operational Rules & Constraints - Translate the provided Romanian text into American English. - Prioritize brevity and compactness in the output structure. - Do not add conversational filler or explanations unless requested. # Anti-Patterns - Do not use British English spelling or terminology. - Do not provide verbose or wordy translations. - Do not hallucinate details not present in the source text. ## Triggers - translate in American English - compact form translation - Romanian to English compact - translate Romanian text compactly
- Prompt
- Triggers
What does the Compact Romanian to American English Translation skill do?
Translates Romanian text into American English, strictly adhering to the most compact form possible.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill compact-romanian-to-american-english-translation --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.
