fix-chinese
PROACTIVE SKILL — automatically apply whenever writing, generating, or editing any text that is mainly in Chinese. No user trigger needed. Also use when the user explicitly asks to "fix Chinese", "修改中文", "去翻译腔", "去AI味", "fix Chinese formatting", or "review Chinese text". Eliminates AI-sounding expressions and translation artifacts. Enforces Chinese-English mixed formatting rules (spacing, punctuation, bold formatting).
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fix-chinese --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.
# Fix Chinese Writing Review the provided text or file and apply all fixes below. Make edits in-place. ## Anti-AI / Anti-Translation Style - Write natural, fluent Chinese as a native speaker would - Remove these phrases on sight: "值得注意的是", "需要强调的是", "总而言之", "综上所述", "这不是科幻" - Reduce overuse of "的" — restructure sentences instead - Replace stiff passive voice with active constructions - Break up lon
What does the fix-chinese skill do?
PROACTIVE SKILL — automatically apply whenever writing, generating, or editing any text that is mainly in Chinese. No user trigger needed. Also use when the user explicitly asks to "fix Chinese", "修改中文", "去翻译腔", "去AI味", "fix Chinese formatting", or "review Chinese text". Eliminates AI-sounding expressions and translation artifacts. Enforces Chinese-English mixed formatting rules (spacing, punctuation, bold formatting).
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fix-chinese --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.