Manuscript Review Skill

多智能体学术稿件审阅 | Multi-Agent Academic Manuscript Review

一个 [Claude Code](https://docs.anthropic.com/en/docs/claude-code) 技能，模拟由6位专家组成的审稿团队，在投稿前对学术稿件进行全面评审。生成中英双语彩色批注 `.docx` 文件，含逐段评审、量化评分矩阵和改进建议优先级排序。

A [Claude Code](https://docs.anthropic.com/en/docs/claude-code) skill that simulates a panel of 6 expert reviewers to critique academic manuscripts before journal submission. Generates a bilingual (English-Chinese) annotated `.docx` file with color-coded, section-by-section reviews and a quantitative scoring matrix.

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功能概述 | What It Does

输入稿件（docx、PDF 或粘贴文本），即可生成一份专业审稿文档：6位专业AI审稿人逐段点评，每位审稿人按1–10分制打分，评分标准根据目标期刊校准。

Give it a manuscript (docx, PDF, or pasted text), and it produces a professional review document where 6 specialized AI agents critique every section — from Title to Supplementary Materials — each scoring on a 1–10 scale calibrated to your target journal's standards.

6位审稿专家 | The 6-Agent Review Panel

代号 Agent	角色 Role	审稿重点 Focus
A	架构军师 Architecture Strategist	结构、逻辑链、内部一致性、叙事节奏 Structure, logic chain, internal consistency, narrative flow
B	理论导师 Theory Mentor	创新性、文献空白、概念精确度、显著性 Novelty, literature gaps, conceptual precision, significance
C	方法统计审稿人 Methods & Stats Reviewer	统计严谨性、可重复性、效应量、ML可行性 Statistical rigor, reproducibility, effect sizes, ML feasibility
D	应用保护顾问 Application Advisor	实际相关性、管理建议、政策衔接 Practical relevance, management implications, policy connections
E	期刊主编 Journal Editor	期刊适配度、格式合规、影响力、竞争定位 Journal fit, formatting compliance, impact, competitive positioning
F	资深合作者 Senior Collaborator	战略定位、脆弱点评估、未来方向 Strategic positioning, vulnerability assessment, future directions

可选：**Agent ML** 针对定量密集型论文（高级统计/机器学习专家）。

Optional: **Agent ML** for quantitative-heavy papers (advanced statistics / machine learning specialist).

输出内容 | Output

每个稿件章节包含：

• 中英双语文本展示（英文原文 + 中文翻译）
• 各审稿人彩色标注评审面板
• 逐章评分及评分理由
• 最终评分矩阵表（审稿人 × 章节）
• 改进建议优先级列表（关键 / 重要 / 次要）

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