| name | humanize-chinese |
| description | 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, 论文降重, 知网检测, 维普检测, humanize chinese, detect AI text, or make Chinese text sound more natural. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | productivity |
| category | automation |
| risk | safe |
| source | community |
| tags | ["skill","productivity","automation","humanize","chinese"] |
Humanize Chinese
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.
When to Use
- Use when the user says
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
- Use when the user wants a Chinese text checked for AI-writing patterns or suspicious phrasing
- Use when the user wants academic-paper-specific AIGC reduction for CNKI, VIP, or Wanfang-style checks
- Use when the user wants Chinese text rewritten into a different style such as
zhihu, xiaohongshu, wechat, weibo, literary, or academic
Core Workflow
1. Detect Before Rewriting
Start by identifying the most obvious AI markers instead of rewriting blindly:
- rigid
first/second/finally structures
- mechanical connectors such as
综上所述, 值得注意的是, 由此可见
- abstract grandiose wording with low information density
- repeated sentence rhythm and paragraph length
- academic prose that sounds too complete, too certain, or too template-driven
If the user provides a short sample, call out the suspicious phrases directly before rewriting.
2. Rewrite in the Smallest Useful Pass
Prefer targeted rewrites over total regeneration:
- remove formulaic connectors rather than paraphrasing every sentence
- vary sentence length and paragraph rhythm
- replace repeated verbs and noun phrases
- swap abstract summaries for concrete observations where possible
- keep the original claims, facts, citations, and terminology intact
3. Validate the Result
After rewriting, verify that the text:
- still says the same thing
- sounds less templated
- uses more natural rhythm
- does not introduce factual drift
- stays in the correct register for the target audience
For academic text, preserve a scholarly tone. Do not over-casualize.
Optional CLI Flow
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
