literature-reviewer-skill

文献回顾（Literature Survey）

根据用户提供的论文主题，进行系统性的中英文文献检索、整理和综述撰写。 采用 8阶段工作流，无需API配置，通过浏览器自动化获取文献。

8阶段工作流

Phase 0: Session Log      → 创建会话目录
Phase 1: Query Analysis   → 生成中英文检索策略  
Phase 2: Parallel Search  → 浏览器自动化检索
Phase 3: Deduplication    → 标题相似度去重
Phase 4: Verification     → 基础元数据校验
Phase 5: Data Export      → 导出文献信息
Phase 6: Paper Analysis   → 单篇文献深度分析
Phase 7: Citation Format  → GB/T 7714-2015格式化
Phase 8: Synthesis        → 生成综述文档

Phase 0: Session Log（会话管理）

创建会话目录，记录工作进度。

目录结构：

sessions/{YYYYMMDD}_{topic_short}/
├── session_log.md          # 工作日志
├── metadata.json           # 会话元数据
├── papers_raw.json         # 原始检索结果
├── papers_deduplicated.json # 去重后文献
├── papers_analysis.json    # 文献分析结果
└── output/
    ├── references.md       # 文献清单（含摘要）
    ├── papers_analysis.md  # 单篇文献分析
    └── literature_review.md # 最终综述

Phase 1: Query Analysis（查询分析）

AI 智能分析研究主题，生成相关关键词和检索策略。

AI 提示词模板

You are tasked with generating relevant keywords or phrases for a given research direction.

The research direction is provided below:
<research_direction>
{{用户输入的研究主题}}
</research_direction>

To complete this task:

1. Carefully analyze the provided research direction.
2. Identify core concepts, methods, techniques, or topics in this research area.
3. Generate 5 to 8 of the most relevant and representative keywords or phrases.
4. Ensure keywords are concise, typically 1-3 words each.
5. Make sure the keywords cover different aspects of the research direction.
6. Order the keywords by importance or relevance.
7. Separate keywords with English commas (,).
8. Do not include any explanations, descriptions, or additional text.
9. Provide keywords in both Chinese and English.

Present your result in the following format:

中文关键词：keyword1, keyword2, keyword3, ...
英文关键词：english_keyword1, english_keyword2, english_keyword3, ...

Example for "人工智能在医疗诊断中的应用":
中文关键词：人工智能, 医疗诊断, 机器学习, 深度学习, 医学影像, 辅助诊断, 疾病预测, 智能诊疗
英文关键词：artificial intelligence, medical diagnosis, machine learning, deep learning, medical imaging, computer-aided diagnosis, disease prediction, intelligent diagnosis