القائمة
综合性英文学术写作助手，集成论文撰写、翻译、润色、AI痕迹检测与降AI率功能。用于：1)撰写学术论文Introduction/Conclusion；2)中英互译；3)中英文润色、缩写/扩写；4)检测并移除AI写作痕迹；5)逻辑检查与审稿。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | academic-writing-pro |
| description | 综合性英文学术写作助手，集成论文撰写、翻译、润色、AI痕迹检测与降AI率功能。用于：1)撰写学术论文Introduction/Conclusion；2)中英互译；3)中英文润色、缩写/扩写；4)检测并移除AI写作痕迹；5)逻辑检查与审稿。 |
| 功能模块 | 适用场景 |
|---|---|
| 论文结构写作 | Introduction/Conclusion 差异化撰写 |
| 翻译 | 中英互译，学术语境优化 |
| 润色优化 | 中英文润色、缩写、扩写 |
| AI痕迹处理 | 检测并移除AI写作痕迹 |
| 逻辑检查 | 一致性核对、审稿 |
论文整体呈现"倒三角-矩形-正三角"结构：
注意：结论禁止引入新观点、新引用。
角色：顶尖科研写作专家 + 资深会议审稿人（ICML/ICLR）
要求：
95% → 95\%，model_v1 → model\_v1输出格式：
要求：
\cite{}、\ref{}、\label{} 等命令要求：
要求：
| AI词汇 | 替换建议 |
|---|---|
| Additionally | 此外/另外/同时 |
| delve into | 研究/探讨/分析 |
| crucial/pivotal/key | 重要的/关键的 |
| underscore/highlight | 表明/显示 |
| leveraging | 利用/使用 |
| testament | 证明/体现 |
| vibrant | 活跃的/丰富的 |
| evolving landscape | 发展领域/现状 |
| in the heart of | 位于/地处 |
| groundbreaking | 创新的/突破性的 |
Before（AI风格）：
此外，该算法是深度学习领域的重大突破，标志着神经网络发展的新纪元。研究人员对其寄予厚望，认为它将对整个行业产生持久影响。
After（人工化）：
该算法在ImageNet数据集上将准确率提升了3.2%。实验表明，其在目标检测任务中也表现稳定。
审查维度：
原则：高容忍度，仅报错实质性问题，忽略"可改可不改"的风格问题。
审查维度：
输出：
所有处理任务统一输出三部分：
Use when the user wants academic literature search, paper discovery, citation graph lookup, PubMed or Google Scholar retrieval, arXiv or Rxiv preprint search, or AI4Scholar-powered citation insertion inside Codex. Prefer the bundled script over generic web search when the user explicitly wants AI4Scholar.
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Academic literature review workflow for research topic selection. Use when user asks to do literature survey, research topic exploration, or systematic review for a specific field. Triggers include: "literature review for [field]", "research topic selection", "help me design a search strategy", "systematic literature search", or when user describes a multi-step research workflow involving database searching, relevance assessment, journal filtering, and topic analysis.
Use this skill when the user wants to work with Google NotebookLM from Codex through the `notebooklm-py` CLI, including logging in, listing notebooks, selecting a notebook, adding sources, asking questions, exporting metadata, or generating NotebookLM artifacts.