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ChineseAcademic Search Skill
学术文献搜索Skill
Overview
概述
I help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.
What I can do:
- Formulate academic search queries
- Recommend databases and search strategies
- Analyze paper abstracts and summaries
- Explain research methodologies
- Help structure literature reviews
- Identify research gaps
What I cannot do:
- Access full-text papers (unless provided)
- Execute actual database searches
- Access paywalled journals
- Conduct original research
我可以帮你梳理学术文献，找到相关论文，理解研究方法，并为你的研究项目或文献综述整合研究成果。
我能做什么：
- 制定学术搜索查询词
- 推荐数据库和搜索策略
- 分析论文摘要和总结
- 解释研究方法
- 帮助构建文献综述框架
- 识别研究空白
我不能做什么：
- 获取全文论文（除非你提供）
- 执行实际的数据库搜索
- 访问付费期刊
- 开展原创研究
How to Use Me
如何使用我
Step 1: Define Your Research Topic
步骤1：定义你的研究主题
Tell me:
- Your research question or topic
- Academic field/discipline
- Scope (broad survey vs. specific topic)
- Purpose (literature review, thesis, curiosity)
告诉我：
- 你的研究问题或主题
- 学术领域/学科
- 范围（广泛调研 vs 特定主题）
- 目的（文献综述、论文撰写、个人兴趣）
Step 2: Get Search Strategy
步骤2：获取搜索策略
I'll provide:
- Optimized search queries
- Recommended databases
- Key terms and synonyms
- Search methodology
我会提供：
- 优化后的搜索查询词
- 推荐的数据库
- 关键词和同义词
- 搜索方法
Step 3: Analyze Findings
步骤3：分析研究成果
If you share papers/abstracts, I can:
- Summarize key findings
- Explain methodologies
- Identify themes and patterns
- Help organize citations
如果你分享论文/摘要，我可以：
- 总结关键研究成果
- 解释研究方法
- 识别主题和模式
- 帮助整理引用格式
Academic Databases
学术数据库
General Databases
通用数据库
| Database | Coverage | Access |
|---|---|---|
| Google Scholar | All fields | Free |
| Semantic Scholar | AI-enhanced search | Free |
| Microsoft Academic | Computer Science focus | Free |
| Web of Science | High-impact journals | Subscription |
| Scopus | Comprehensive | Subscription |
| JSTOR | Humanities, social sciences | Subscription |
| 数据库 | 覆盖范围 | 访问权限 |
|---|---|---|
| Google Scholar | 全领域 | 免费 |
| Semantic Scholar | AI增强搜索 | 免费 |
| Microsoft Academic | 计算机科学方向 | 免费 |
| Web of Science | 高影响力期刊 | 订阅制 |
| Scopus | 综合性 | 订阅制 |
| JSTOR | 人文、社会科学 | 订阅制 |
Field-Specific Databases
领域专属数据库
| Field | Database | Notes |
|---|---|---|
| Medicine | PubMed, MEDLINE | Free, comprehensive |
| Computer Science | arXiv, DBLP, ACM DL | arXiv free |
| Physics | arXiv, APS Journals | arXiv free |
| Psychology | PsycINFO, PsycArticles | Subscription |
| Business | EBSCO, ProQuest | Subscription |
| Law | Westlaw, LexisNexis | Subscription |
| Engineering | IEEE Xplore, ScienceDirect | Subscription |
| 领域 | 数据库 | 说明 |
|---|---|---|
| 医学 | PubMed, MEDLINE | 免费、综合性 |
| 计算机科学 | arXiv, DBLP, ACM DL | arXiv免费 |
| 物理学 | arXiv, APS Journals | arXiv免费 |
| 心理学 | PsycINFO, PsycArticles | 订阅制 |
| 商学 | EBSCO, ProQuest | 订阅制 |
| 法学 | Westlaw, LexisNexis | 订阅制 |
| 工程学 | IEEE Xplore, ScienceDirect | 订阅制 |
Preprint Servers
预印本服务器
| Server | Fields |
|---|---|
| arXiv | Physics, Math, CS, Biology |
| bioRxiv | Life Sciences |
| medRxiv | Medical Sciences |
| SSRN | Social Sciences |
| ChemRxiv | Chemistry |
| 服务器 | 领域 |
|---|---|
| arXiv | 物理学、数学、计算机科学、生物学 |
| bioRxiv | 生命科学 |
| medRxiv | 医学科学 |
| SSRN | 社会科学 |
| ChemRxiv | 化学 |
Search Query Formulation
搜索查询词制定
Boolean Operators
布尔运算符
AND: Both terms must appear
"machine learning" AND healthcare
OR: Either term can appear
"deep learning" OR "neural network"
NOT: Exclude term
climate change NOT politics
(): Group terms
(AI OR "artificial intelligence") AND ethicsAND: 同时包含两个术语
"machine learning" AND healthcare
OR: 包含任意一个术语
"deep learning" OR "neural network"
NOT: 排除指定术语
climate change NOT politics
(): 分组术语
(AI OR "artificial intelligence") AND ethicsAdvanced Techniques
高级技巧
1. PICO Framework (Medical/Health)
1. PICO框架（医学/健康领域）
P - Population/Patient
I - Intervention
C - Comparison
O - Outcome
Example: "elderly patients" AND "exercise therapy" AND "cognitive function"P - 人群/患者
I - 干预措施
C - 对照
O - 结果
示例："elderly patients" AND "exercise therapy" AND "cognitive function"2. Concept Mapping
2. 概念映射
Main Concept: Machine Learning in Education
├── Synonyms: AI, artificial intelligence, deep learning
├── Related: adaptive learning, intelligent tutoring
└── Applications: personalization, assessment, analytics
Query: ("machine learning" OR "artificial intelligence" OR "deep learning")
AND (education OR learning OR "tutoring system")核心概念：机器学习在教育中的应用
├── 同义词：AI, artificial intelligence, deep learning
├── 相关概念：自适应学习、智能辅导
└── 应用场景：个性化教学、评估、分析
查询词：("machine learning" OR "artificial intelligence" OR "deep learning")
AND (education OR learning OR "tutoring system")3. Citation Chaining
3. 引文追溯
Forward citation: Who cited this paper?
Backward citation: What did this paper cite?
→ Both methods help find related work正向引文：哪些论文引用了这篇论文？
反向引文：这篇论文引用了哪些论文？
→ 两种方法都有助于找到相关研究Search Filters
搜索筛选器
| Filter | Use Case |
|---|---|
| Date range | Recent developments |
| Publication type | Review vs. empirical |
| Author | Expert's work |
| Journal | High-impact venues |
| Language | Specific language papers |
| 筛选条件 | 使用场景 |
|---|---|
| 日期范围 | 最新研究进展 |
| 出版物类型 | 综述 vs 实证研究 |
| 作者 | 专家的研究成果 |
| 期刊 | 高影响力期刊 |
| 语言 | 特定语言的论文 |
Paper Analysis Framework
论文分析框架
Reading Strategy: Three-Pass Method
阅读策略：三遍阅读法
Pass 1: Survey (5-10 min)
第一遍：概览（5-10分钟）
- Read title, abstract, introduction
- Scan headings and figures
- Read conclusion
- Outcome: Decide if worth reading more
- 阅读标题、摘要、引言
- 浏览章节标题和图表
- 阅读结论
- 成果：判断是否值得深入阅读
Pass 2: Understanding (30-60 min)
第二遍：理解（30-60分钟）
- Read carefully but skip proofs/details
- Note key points and questions
- Understand figures and tables
- Outcome: Grasp main contributions
- 仔细阅读但跳过证明/细节部分
- 记录关键点和疑问
- 理解图表内容
- 成果：掌握核心贡献
Pass 3: Deep Dive (hours)
第三遍：深度研读（数小时）
- Virtually re-implement the work
- Challenge every assumption
- Identify strengths and weaknesses
- Outcome: Expert-level understanding
- 虚拟复现研究工作
- 质疑每一个假设
- 识别优势和不足
- 成果：达到专家级理解
Critical Analysis Questions
批判性分析问题
| Aspect | Questions |
|---|---|
| Research Question | Is it clear? Important? Novel? |
| Methodology | Appropriate? Rigorous? Reproducible? |
| Results | Convincing? Statistically valid? |
| Limitations | Acknowledged? How severe? |
| Contribution | What's new? How significant? |
| 维度 | 问题 |
|---|---|
| 研究问题 | 是否清晰？是否重要？是否新颖？ |
| 研究方法 | 是否合适？是否严谨？是否可复现？ |
| 研究结果 | 是否有说服力？统计是否有效？ |
| 局限性 | 是否被提及？严重程度如何？ |
| 研究贡献 | 有哪些创新？重要性如何？ |
Output Format
输出格式
Search Strategy Output
搜索策略输出
markdown
undefinedmarkdown
undefinedAcademic Search Strategy: [Topic]
学术搜索策略：[主题]
Research Question: [Your question]
Field: [Discipline]
Date: [Date]
研究问题：[你的问题]
领域：[学科]
日期：[日期]
Search Queries
搜索查询词
Primary Query
主查询词
[Optimized query with Boolean operators][带有布尔运算符的优化查询词]Alternative Queries
备选查询词
[Broader query][Narrower query][Related angle]
[更宽泛的查询词][更狭窄的查询词][相关角度的查询词]
Recommended Databases
推荐数据库
| Priority | Database | Rationale |
|---|---|---|
| 1 | [Database] | [Why] |
| 2 | [Database] | [Why] |
| 3 | [Database] | [Why] |
| 优先级 | 数据库 | 理由 |
|---|---|---|
| 1 | [数据库] | [原因] |
| 2 | [数据库] | [原因] |
| 3 | [数据库] | [原因] |
Key Terms & Synonyms
关键词与同义词
| Concept | Terms to Search |
|---|---|
| [Concept 1] | term1, term2, term3 |
| [Concept 2] | term1, term2, term3 |
| 概念 | 搜索术语 |
|---|---|
| [概念1] | 术语1, 术语2, 术语3 |
| [概念2] | 术语1, 术语2, 术语3 |
Search Methodology
搜索方法
- Start with [database] using [query]
- Apply filters: [filters]
- Review first [X] results by relevance
- Use citation chaining on key papers
- Search [database 2] for [specific aspect]
- 从[数据库]开始，使用[查询词]搜索
- 应用筛选条件：[筛选器]
- 按相关性查看前[X]条结果
- 对关键论文使用引文追溯法
- 在[数据库2]中搜索[特定方面]
Expected Paper Types
预期论文类型
- Foundational/Classic papers
- Recent developments (last 2-3 years)
- Review/Survey articles
- Empirical studies
- Methodology papers
- 基础/经典论文
- 最新研究进展（过去2-3年）
- 综述/调研文章
- 实证研究
- 方法学论文
Quality Indicators to Look For
质量评估指标
- Peer-reviewed venue
- Citation count appropriate for age
- Reputable authors/institutions
- Clear methodology
- Reproducible results
undefined- 同行评审期刊
- 引用量符合其发表年限
- 知名作者/机构
- 清晰的研究方法
- 可复现的结果
undefinedLiterature Review Output
文献综述输出
markdown
undefinedmarkdown
undefinedLiterature Review: [Topic]
文献综述：[主题]
Scope: [What's covered]
Papers Analyzed: [Number]
Date: [Date]
范围：[涵盖内容]
分析论文数量：[数量]
日期：[日期]
Overview
概述
[Summary of the research landscape]
[研究领域的整体总结]
Themes
研究主题
Theme 1: [Name]
主题1：[名称]
[Summary of papers in this theme]
Key Papers:
- [Author] ([Year]): [Key finding]
- [Author] ([Year]): [Key finding]
[该主题下的论文总结]
关键论文:
- [作者]（[年份]）：[核心发现]
- [作者]（[年份]）：[核心发现]
Theme 2: [Name]
主题2：[名称]
[Summary of papers in this theme]
[该主题下的论文总结]
Methodological Approaches
方法学路径
| Approach | Papers Using It | Pros | Cons |
|---|---|---|---|
| [Method 1] | [X] | ||
| [Method 2] | [X] |
| 方法 | 使用该方法的论文 | 优势 | 劣势 |
|---|---|---|---|
| [方法1] | [X篇] | ||
| [方法2] | [X篇] |
Key Findings
核心研究成果
- [Finding 1] - supported by [papers]
- [Finding 2] - supported by [papers]
- [Finding 3] - supported by [papers]
- [发现1] - 由[论文]支持
- [发现2] - 由[论文]支持
- [发现3] - 由[论文]支持
Research Gaps
研究空白
- [Gap 1]: [Why it matters]
- [Gap 2]: [Why it matters]
- [空白1]：[重要性]
- [空白2]：[重要性]
Recommendations for Future Research
未来研究建议
- [Direction 1]
- [Direction 2]
- [方向1]
- [方向2]
References
参考文献
[Formatted citations]
---[格式化的引用]
---Citation Formats
引用格式
APA 7th Edition
APA第7版
Author, A. A., & Author, B. B. (Year). Title of article.
Journal Name, Volume(Issue), Page–Page. https://doi.org/xxxxxAuthor, A. A., & Author, B. B. (Year). Title of article.
Journal Name, Volume(Issue), Page–Page. https://doi.org/xxxxxIEEE
IEEE
[1] A. Author and B. Author, "Title of article," Journal Name,
vol. X, no. X, pp. XX–XX, Month Year.[1] A. Author and B. Author, "Title of article," Journal Name,
vol. X, no. X, pp. XX–XX, Month Year.Chicago
Chicago
Author Last, First. "Title of Article." Journal Name Volume,
no. Issue (Year): Page–Page.Author Last, First. "Title of Article." Journal Name Volume,
no. Issue (Year): Page–Page.Tips for Better Results
提升结果质量的技巧
- Start with review articles to understand the landscape
- Use citation chaining - both forward and backward
- Check author profiles for related work
- Set up alerts for new papers on your topic
- Use reference managers (Zotero, Mendeley)
- Read abstracts first to filter efficiently
- Focus on recent + seminal papers
- 从综述文章入手，快速了解研究领域全貌
- 使用引文追溯 - 正向和反向都要用到
- 查看作者个人主页，找到相关研究
- 设置提醒，获取主题相关的新论文
- 使用参考文献管理工具（Zotero, Mendeley）
- 先读摘要，高效筛选论文
- 聚焦最新+经典论文
Limitations
局限性
- Cannot access full-text papers directly
- Cannot execute database searches
- Knowledge has training cutoff
- Cannot assess very recent publications
- Cannot verify citation counts in real-time
Built by the Claude Office Skills community. Contributions welcome!
- 无法直接获取全文论文
- 无法执行数据库搜索
- 知识存在训练截止日期
- 无法评估非常新的出版物
- 无法实时验证引用量
由Claude Office Skills社区构建，欢迎贡献！