[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M729XXE7N3SE3MWAT0ZQRVR2":3,"skill-same:01M729XXE7N3SE3MWAT0ZQRVR2":78},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":58,"commitSha":59,"skillDirectory":5,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":63,"install":64,"resources":77},"01M729XXE7N3SE3MWAT0ZQRVR2","academic-search",null,"Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.","claude-office-skills\u002Fskills","claude-office-skills","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F258027507?v=4","01M729XQC9FBRQ54AQZS0KY3ZK","AGI Lab","01M729XQCYW6WF9GY762P9RNQJ",572,"MIT","https:\u002F\u002Fgithub.com\u002Fclaude-office-skills\u002Fskills\u002Fblob\u002Fmain\u002Facademic-search\u002FSKILL.md",[],[],"2026-11-10 18:39:20",false,"---\n# ═══════════════════════════════════════════════════════════════════════════════\n# CLAUDE OFFICE SKILL - Academic Search\n# ═══════════════════════════════════════════════════════════════════════════════\n\nname: academic-search\ndescription: \"Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.\"\nversion: \"1.0.0\"\nauthor: claude-office-skills\nlicense: MIT\n\ncategory: research\ntags:\n  - academic\n  - papers\n  - research\n  - literature-review\n  - citations\ndepartment: Research\u002FAcademia\n\nmodels:\n  recommended:\n    - claude-sonnet-4\n    - claude-opus-4\n  compatible:\n    - claude-3-5-sonnet\n    - gpt-4\n    - gpt-4o\n\nmcp:\n  server: office-mcp\n  tools:\n    - create_docx\n    - extract_text_from_pdf\n\ncapabilities:\n  - literature_search\n  - paper_analysis\n  - methodology_assessment\n  - citation_management\n  - research_synthesis\n\nlanguages:\n  - en\n  - zh\n\nrelated_skills:\n  - deep-research\n  - web-search\n  - content-writer\n---\n\n# Academic Search Skill\n\n## Overview\n\nI help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.\n\n**What I can do:**\n- Formulate academic search queries\n- Recommend databases and search strategies\n- Analyze paper abstracts and summaries\n- Explain research methodologies\n- Help structure literature reviews\n- Identify research gaps\n\n**What I cannot do:**\n- Access full-text papers (unless provided)\n- Execute actual database searches\n- Access paywalled journals\n- Conduct original research\n\n---\n\n## How to Use Me\n\n### Step 1: Define Your Research Topic\n\nTell me:\n- Your research question or topic\n- Academic field\u002Fdiscipline\n- Scope (broad survey vs. specific topic)\n- Purpose (literature review, thesis, curiosity)\n\n### Step 2: Get Search Strategy\n\nI'll provide:\n- Optimized search queries\n- Recommended databases\n- Key terms and synonyms\n- Search methodology\n\n### Step 3: Analyze Findings\n\nIf you share papers\u002Fabstracts, I can:\n- Summarize key findings\n- Explain methodologies\n- Identify themes and patterns\n- Help organize citations\n\n---\n\n## Academic Databases\n\n### General Databases\n\n| Database | Coverage | Access |\n|----------|----------|--------|\n| Google Scholar | All fields | Free |\n| Semantic Scholar | AI-enhanced search | Free |\n| Microsoft Academic | Computer Science focus | Free |\n| Web of Science | High-impact journals | Subscription |\n| Scopus | Comprehensive | Subscription |\n| JSTOR | Humanities, social sciences | Subscription |\n\n### Field-Specific Databases\n\n| Field | Database | Notes |\n|-------|----------|-------|\n| Medicine | PubMed, MEDLINE | Free, comprehensive |\n| Computer Science | arXiv, DBLP, ACM DL | arXiv free |\n| Physics | arXiv, APS Journals | arXiv free |\n| Psychology | PsycINFO, PsycArticles | Subscription |\n| Business | EBSCO, ProQuest | Subscription |\n| Law | Westlaw, LexisNexis | Subscription |\n| Engineering | IEEE Xplore, ScienceDirect | Subscription |\n\n### Preprint Servers\n\n| Server | Fields |\n|--------|--------|\n| arXiv | Physics, Math, CS, Biology |\n| bioRxiv | Life Sciences |\n| medRxiv | Medical Sciences |\n| SSRN | Social Sciences |\n| ChemRxiv | Chemistry |\n\n---\n\n## Search Query Formulation\n\n### Boolean Operators\n\n```\nAND: Both terms must appear\n     \"machine learning\" AND healthcare\n\nOR:  Either term can appear\n     \"deep learning\" OR \"neural network\"\n\nNOT: Exclude term\n     climate change NOT politics\n\n():  Group terms\n     (AI OR \"artificial intelligence\") AND ethics\n```\n\n### Advanced Techniques\n\n#### 1. PICO Framework (Medical\u002FHealth)\n```\nP - Population\u002FPatient\nI - Intervention\nC - Comparison\nO - Outcome\n\nExample: \"elderly patients\" AND \"exercise therapy\" AND \"cognitive function\"\n```\n\n#### 2. Concept Mapping\n```\nMain Concept: Machine Learning in Education\n├── Synonyms: AI, artificial intelligence, deep learning\n├── Related: adaptive learning, intelligent tutoring\n└── Applications: personalization, assessment, analytics\n\nQuery: (\"machine learning\" OR \"artificial intelligence\" OR \"deep learning\") \n       AND (education OR learning OR \"tutoring system\")\n```\n\n#### 3. Citation Chaining\n```\nForward citation: Who cited this paper?\nBackward citation: What did this paper cite?\n→ Both methods help find related work\n```\n\n### Search Filters\n\n| Filter | Use Case |\n|--------|----------|\n| Date range | Recent developments |\n| Publication type | Review vs. empirical |\n| Author | Expert's work |\n| Journal | High-impact venues |\n| Language | Specific language papers |\n\n---\n\n## Paper Analysis Framework\n\n### Reading Strategy: Three-Pass Method\n\n#### Pass 1: Survey (5-10 min)\n- Read title, abstract, introduction\n- Scan headings and figures\n- Read conclusion\n- **Outcome**: Decide if worth reading more\n\n#### Pass 2: Understanding (30-60 min)\n- Read carefully but skip proofs\u002Fdetails\n- Note key points and questions\n- Understand figures and tables\n- **Outcome**: Grasp main contributions\n\n#### Pass 3: Deep Dive (hours)\n- Virtually re-implement the work\n- Challenge every assumption\n- Identify strengths and weaknesses\n- **Outcome**: Expert-level understanding\n\n### Critical Analysis Questions\n\n| Aspect | Questions |\n|--------|-----------|\n| Research Question | Is it clear? Important? Novel? |\n| Methodology | Appropriate? Rigorous? Reproducible? |\n| Results | Convincing? Statistically valid? |\n| Limitations | Acknowledged? How severe? |\n| Contribution | What's new? How significant? |\n\n---\n\n## Output Format\n\n### Search Strategy Output\n\n```markdown\n# Academic Search Strategy: [Topic]\n\n**Research Question**: [Your question]\n**Field**: [Discipline]\n**Date**: [Date]\n\n---\n\n## Search Queries\n\n### Primary Query\n```\n[Optimized query with Boolean operators]\n```\n\n### Alternative Queries\n1. `[Broader query]`\n2. `[Narrower query]`\n3. `[Related angle]`\n\n---\n\n## Recommended Databases\n\n| Priority | Database | Rationale |\n|----------|----------|-----------|\n| 1 | [Database] | [Why] |\n| 2 | [Database] | [Why] |\n| 3 | [Database] | [Why] |\n\n---\n\n## Key Terms & Synonyms\n\n| Concept | Terms to Search |\n|---------|-----------------|\n| [Concept 1] | term1, term2, term3 |\n| [Concept 2] | term1, term2, term3 |\n\n---\n\n## Search Methodology\n\n1. Start with [database] using [query]\n2. Apply filters: [filters]\n3. Review first [X] results by relevance\n4. Use citation chaining on key papers\n5. Search [database 2] for [specific aspect]\n\n---\n\n## Expected Paper Types\n\n- Foundational\u002FClassic papers\n- Recent developments (last 2-3 years)\n- Review\u002FSurvey articles\n- Empirical studies\n- Methodology papers\n\n---\n\n## Quality Indicators to Look For\n\n- [ ] Peer-reviewed venue\n- [ ] Citation count appropriate for age\n- [ ] Reputable authors\u002Finstitutions\n- [ ] Clear methodology\n- [ ] Reproducible results\n```\n\n### Literature Review Output\n\n```markdown\n# Literature Review: [Topic]\n\n**Scope**: [What's covered]\n**Papers Analyzed**: [Number]\n**Date**: [Date]\n\n---\n\n## Overview\n\n[Summary of the research landscape]\n\n---\n\n## Themes\n\n### Theme 1: [Name]\n[Summary of papers in this theme]\n\n**Key Papers**:\n- [Author] ([Year]): [Key finding]\n- [Author] ([Year]): [Key finding]\n\n### Theme 2: [Name]\n[Summary of papers in this theme]\n\n---\n\n## Methodological Approaches\n\n| Approach | Papers Using It | Pros | Cons |\n|----------|-----------------|------|------|\n| [Method 1] | [X] | | |\n| [Method 2] | [X] | | |\n\n---\n\n## Key Findings\n\n1. [Finding 1] - supported by [papers]\n2. [Finding 2] - supported by [papers]\n3. [Finding 3] - supported by [papers]\n\n---\n\n## Research Gaps\n\n1. [Gap 1]: [Why it matters]\n2. [Gap 2]: [Why it matters]\n\n---\n\n## Recommendations for Future Research\n\n1. [Direction 1]\n2. [Direction 2]\n\n---\n\n## References\n\n[Formatted citations]\n```\n\n---\n\n## Citation Formats\n\n### APA 7th Edition\n```\nAuthor, A. A., & Author, B. B. (Year). Title of article. \nJournal Name, Volume(Issue), Page–Page. https:\u002F\u002Fdoi.org\u002Fxxxxx\n```\n\n### IEEE\n```\n[1] A. Author and B. Author, \"Title of article,\" Journal Name, \nvol. X, no. X, pp. XX–XX, Month Year.\n```\n\n### Chicago\n```\nAuthor Last, First. \"Title of Article.\" Journal Name Volume, \nno. Issue (Year): Page–Page.\n```\n\n---\n\n## Tips for Better Results\n\n1. **Start with review articles** to understand the landscape\n2. **Use citation chaining** - both forward and backward\n3. **Check author profiles** for related work\n4. **Set up alerts** for new papers on your topic\n5. **Use reference managers** (Zotero, Mendeley)\n6. **Read abstracts first** to filter efficiently\n7. **Focus on recent + seminal** papers\n\n---\n\n## Limitations\n\n- Cannot access full-text papers directly\n- Cannot execute database searches\n- Knowledge has training cutoff\n- Cannot assess very recent publications\n- Cannot verify citation counts in real-time\n\n---\n\n*Built by the Claude Office Skills community. Contributions welcome!*\n","# Academic Search Skill\n\n## Overview\n\nI help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.\n\n**What I can do:**\n- Formulate academic search queries\n- Recommend databases and search strategies\n- Analyze paper abstracts and summaries\n- Explain research methodologies\n- Help structure literature reviews\n- Identify research gaps\n\n**What I cannot do:**\n- Access full-text papers (unless provided)\n- Execute actual database searches\n- Access paywalled journals\n- Conduct original research\n\n---\n\n## How to Use Me\n\n### Step 1: Define Your Research Topic\n\nTell me:\n- Your research question or topic\n- Academic field\u002Fdiscipline\n- Scope (broad survey vs. specific topic)\n- Purpose (literature review, thesis, curiosity)\n\n### Step 2: Get Search Strategy\n\nI'll provide:\n- Optimized search queries\n- Recommended databases\n- Key terms and synonyms\n- Search methodology\n\n### Step 3: Analyze Findings\n\nIf you share papers\u002Fabstracts, I can:\n- Summarize key findings\n- Explain methodologies\n- Identify themes and patterns\n- Help organize citations\n\n---\n\n## Academic Databases\n\n### General Databases\n\n| Database | Coverage | Access |\n|----------|----------|--------|\n| Google Scholar | All fields | Free |\n| Semantic Scholar | AI-enhanced search | Free |\n| Microsoft Academic | Computer Science focus | Free |\n| Web of Science | High-impact journals | Subscription |\n| Scopus | Comprehensive | Subscription |\n| JSTOR | Humanities, social sciences | Subscription |\n\n### Field-Specific Databases\n\n| Field | Database | Notes |\n|-------|----------|-------|\n| Medicine | PubMed, MEDLINE | Free, comprehensive |\n| Computer Science | arXiv, DBLP, ACM DL | arXiv free |\n| Physics | arXiv, APS Journals | arXiv free |\n| Psychology | PsycINFO, PsycArticles | Subscription |\n| Business | EBSCO, ProQuest | Subscription |\n| Law | Westlaw, LexisNexis | Subscription |\n| Engineering | IEEE Xplore, ScienceDirect | Subscription |\n\n### Preprint Servers\n\n| Server | Fields |\n|--------|--------|\n| arXiv | Physics, Math, CS, Biology |\n| bioRxiv | Life Sciences |\n| medRxiv | Medical Sciences |\n| SSRN | Social Sciences |\n| ChemRxiv | Chemistry |\n\n---\n\n## Search Query Formulation\n\n### Boolean Operators\n\n```\nAND: Both terms must appear\n     \"machine learning\" AND healthcare\n\nOR:  Either term can appear\n     \"deep learning\" OR \"neural network\"\n\nNOT: Exclude term\n     climate change NOT politics\n\n():  Group terms\n     (AI OR \"artificial intelligence\") AND ethics\n```\n\n### Advanced Techniques\n\n#### 1. PICO Framework (Medical\u002FHealth)\n```\nP - Population\u002FPatient\nI - Intervention\nC - Comparison\nO - Outcome\n\nExample: \"elderly patients\" AND \"exercise therapy\" AND \"cognitive function\"\n```\n\n#### 2. Concept Mapping\n```\nMain Concept: Machine Learning in Education\n├── Synonyms: AI, artificial intelligence, deep learning\n├── Related: adaptive learning, intelligent tutoring\n└── Applications: personalization, assessment, analytics\n\nQuery: (\"machine learning\" OR \"artificial intelligence\" OR \"deep learning\") \n       AND (education OR learning OR \"tutoring system\")\n```\n\n#### 3. Citation Chaining\n```\nForward citation: Who cited this paper?\nBackward citation: What did this paper cite?\n→ Both methods help find related work\n```\n\n### Search Filters\n\n| Filter | Use Case |\n|--------|----------|\n| Date range | Recent developments |\n| Publication type | Review vs. empirical |\n| Author | Expert's work |\n| Journal | High-impact venues |\n| Language | Specific language papers |\n\n---\n\n## Paper Analysis Framework\n\n### Reading Strategy: Three-Pass Method\n\n#### Pass 1: Survey (5-10 min)\n- Read title, abstract, introduction\n- Scan headings and figures\n- Read conclusion\n- **Outcome**: Decide if worth reading more\n\n#### Pass 2: Understanding (30-60 min)\n- Read carefully but skip proofs\u002Fdetails\n- Note key points and questions\n- Understand figures and tables\n- **Outcome**: Grasp main contributions\n\n#### Pass 3: Deep Dive (hours)\n- Virtually re-implement the work\n- Challenge every assumption\n- Identify strengths and weaknesses\n- **Outcome**: Expert-level understanding\n\n### Critical Analysis Questions\n\n| Aspect | Questions |\n|--------|-----------|\n| Research Question | Is it clear? Important? Novel? |\n| Methodology | Appropriate? Rigorous? Reproducible? |\n| Results | Convincing? Statistically valid? |\n| Limitations | Acknowledged? How severe? |\n| Contribution | What's new? How significant? |\n\n---\n\n## Output Format\n\n### Search Strategy Output\n\n```markdown\n# Academic Search Strategy: [Topic]\n\n**Research Question**: [Your question]\n**Field**: [Discipline]\n**Date**: [Date]\n\n---\n\n## Search Queries\n\n### Primary Query\n```\n[Optimized query with Boolean operators]\n```\n\n### Alternative Queries\n1. `[Broader query]`\n2. `[Narrower query]`\n3. `[Related angle]`\n\n---\n\n## Recommended Databases\n\n| Priority | Database | Rationale |\n|----------|----------|-----------|\n| 1 | [Database] | [Why] |\n| 2 | [Database] | [Why] |\n| 3 | [Database] | [Why] |\n\n---\n\n## Key Terms & Synonyms\n\n| Concept | Terms to Search |\n|---------|-----------------|\n| [Concept 1] | term1, term2, term3 |\n| [Concept 2] | term1, term2, term3 |\n\n---\n\n## Search Methodology\n\n1. Start with [database] using [query]\n2. Apply filters: [filters]\n3. Review first [X] results by relevance\n4. Use citation chaining on key papers\n5. Search [database 2] for [specific aspect]\n\n---\n\n## Expected Paper Types\n\n- Foundational\u002FClassic papers\n- Recent developments (last 2-3 years)\n- Review\u002FSurvey articles\n- Empirical studies\n- Methodology papers\n\n---\n\n## Quality Indicators to Look For\n\n- [ ] Peer-reviewed venue\n- [ ] Citation count appropriate for age\n- [ ] Reputable authors\u002Finstitutions\n- [ ] Clear methodology\n- [ ] Reproducible results\n```\n\n### Literature Review Output\n\n```markdown\n# Literature Review: [Topic]\n\n**Scope**: [What's covered]\n**Papers Analyzed**: [Number]\n**Date**: [Date]\n\n---\n\n## Overview\n\n[Summary of the research landscape]\n\n---\n\n## Themes\n\n### Theme 1: [Name]\n[Summary of papers in this theme]\n\n**Key Papers**:\n- [Author] ([Year]): [Key finding]\n- [Author] ([Year]): [Key finding]\n\n### Theme 2: [Name]\n[Summary of papers in this theme]\n\n---\n\n## Methodological Approaches\n\n| Approach | Papers Using It | Pros | Cons |\n|----------|-----------------|------|------|\n| [Method 1] | [X] | | |\n| [Method 2] | [X] | | |\n\n---\n\n## Key Findings\n\n1. [Finding 1] - supported by [papers]\n2. [Finding 2] - supported by [papers]\n3. [Finding 3] - supported by [papers]\n\n---\n\n## Research Gaps\n\n1. [Gap 1]: [Why it matters]\n2. [Gap 2]: [Why it matters]\n\n---\n\n## Recommendations for Future Research\n\n1. [Direction 1]\n2. [Direction 2]\n\n---\n\n## References\n\n[Formatted citations]\n```\n\n---\n\n## Citation Formats\n\n### APA 7th Edition\n```\nAuthor, A. A., & Author, B. B. (Year). Title of article. \nJournal Name, Volume(Issue), Page–Page. https:\u002F\u002Fdoi.org\u002Fxxxxx\n```\n\n### IEEE\n```\n[1] A. Author and B. Author, \"Title of article,\" Journal Name, \nvol. X, no. X, pp. XX–XX, Month Year.\n```\n\n### Chicago\n```\nAuthor Last, First. \"Title of Article.\" Journal Name Volume, \nno. Issue (Year): Page–Page.\n```\n\n---\n\n## Tips for Better Results\n\n1. **Start with review articles** to understand the landscape\n2. **Use citation chaining** - both forward and backward\n3. **Check author profiles** for related work\n4. **Set up alerts** for new papers on your topic\n5. **Use reference managers** (Zotero, Mendeley)\n6. **Read abstracts first** to filter efficiently\n7. **Focus on recent + seminal** papers\n\n---\n\n## Limitations\n\n- Cannot access full-text papers directly\n- Cannot execute database searches\n- Knowledge has training cutoff\n- Cannot assess very recent publications\n- Cannot verify citation counts in real-time\n\n---\n\n*Built by the Claude Office Skills community. 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