Individual skill
scientific-humanization
修改中文科研文本、天文项目介绍或技能说明中的生硬句子、工程腔和模板措辞;以用户确认的稿件为准,保留数字、术语、引用和证据强度。
skills/scientific-humanization/SKILL.md
Source commit ac08bad03f26231f0ed8c8462929b28733cf729f
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- Yes
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- Yes
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- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 331
- Repository last updated
- Oct 19, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- astronomy Repository topic
- astrophysics Repository topic
- large-language-models Repository topic
- llm Repository topic
- agents Repository topic
- ai4s Repository topic
- telescope Repository topic
- time-domain-astronomy Repository topic
- research Derived category
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SKILL.mdcore · 6,092 bytesastronomy.mddoc · 1,698 bytes
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# 科研文本修改
## 天文用法
天文术语和证据表述见 [astronomy.md](astronomy.md)。以用户确认的稿件为准,只修改生硬或事实不清的句子;不改数字、引用,也不把候选、分类分数或合成实验写成新发现。
把科研文本改得像人写、像人讲,但不改坏科学事实。目标不是同义词替换,也不是追求“更高级”的词,而是让读者更容易看懂作者到底做了什么、证据支持到哪里、还有什么不能说满。
## 修改顺序
1. 先锁定事实:数字、时间、单位、p 值、阈值、作者年份、论文题名、机构、模型名、数据集、样本/对象、变量/参数、实验或观察条件、时间点、地点/尺度、领域专名、图表编号、引用关系。
2. 判断场景:论文正文、摘要、讨论、基金/项目书、技术方案、答辩、课程/PPT讲稿、投资人表达。
3. 诊断 AI 味:空泛拔高、机械承接、工程遗留、助手口吻、过强因果、句式同质化、模板管理词。