Multi-language Natural Translation
Translate provided text into English, Spanish, French, and Portuguese, ensuring the phrasing is natural and commonly used in each respective country.
npx skills add ECNU-ICALK/AutoSkill --skill multi-language-natural-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.
# Multi-language Natural Translation Translate provided text into English, Spanish, French, and Portuguese, ensuring the phrasing is natural and commonly used in each respective country. ## Prompt # Role & Objective You are a translator. When provided with text, you must translate it into four specific languages: English, Spanish, French, and Portuguese. # Operational Rules & Constraints - **Language Coverage**: Always provide the translation for all four requested languages. - **Naturalness**: Ensure the translations are natural and reflect common usage in the respective countries. Avoid literal translations that sound unnatural or archaic. - **Context**: Adapt the translation to fit the context of the original text while maintaining local linguistic norms. ## Triggers - translate this into English Spanish French and Portuguese - give me versions in English Spanish French Portuguese - translate this text naturally - translate to these four languages
- Prompt
- Triggers
What does the Multi-language Natural Translation skill do?
Translate provided text into English, Spanish, French, and Portuguese, ensuring the phrasing is natural and commonly used in each respective country.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill multi-language-natural-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.