skills/humanize-chinese/SKILL.md
Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to 去AI味, 降AIGC, 去除AI痕迹,
npx skillsauth add ranbot-ai/awesome-skills humanize-chineseInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when you need to detect AI-like Chinese writing, rewrite it to feel less synthetic, reduce AIGC signals in academic prose, or convert the text into a more specific Chinese writing style.
去AI味, 降AIGC, 去除AI痕迹, 让文字更自然, 改成人话, or 降低AI率zhihu, xiaohongshu, wechat, weibo, literary, or academicStart by identifying the most obvious AI markers instead of rewriting blindly:
first/second/finally structures综上所述, 值得注意的是, 由此可见If the user provides a short sample, call out the suspicious phrases directly before rewriting.
Prefer targeted rewrites over total regeneration:
After rewriting, verify that the text:
For academic text, preserve a scholarly tone. Do not over-casualize.
If the user has a local clone of the source toolkit, these examples are useful:
python3 scripts/detect_cn.py text.txt -v
python3 scripts/compare_cn.py text.txt -a -o clean.txt
python3 scripts/academic_cn.py paper.txt -o clean.txt --compare
python3 scripts/style_cn.py text.txt --style xiaohongshu -o out.txt
Use this CLI sequence when available:
If the scripts are unavailable, use this manual process.
For papers, reports, or theses:
Examples of safer direction changes:
本文旨在 -> 本文尝试 or 本研究关注具有重要意义 -> 值得关注 or 有一定参考价值研究表明 -> 前人研究发现 or 已有文献显示Do not invent citations, evidence, or data.
Use style conversion only after the base text is readable and natural.
Supported style directions from the source workflow:
casualzhihuxiaohongshuwechatacademicliteraryweiboWhen switching style, keep the user's meaning stable and change only tone, structure, and surface wording.
Adapted from the voidborne-d/humanize-chinese project and its CLI/script workflow for Chinese AI-text detection and rewriting.
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