academic-search

# ═══════════════════════════════════════════════════════════════════════════════
# CLAUDE OFFICE SKILL - Academic Search
# ═══════════════════════════════════════════════════════════════════════════════

name: academic-search
description: "Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects."
version: "1.0.0"
author: claude-office-skills
license: MIT

category: research
tags:
  - academic
  - papers
  - research
  - literature-review
  - citations
department: Research/Academia

models:
  recommended:
    - claude-sonnet-4
    - claude-opus-4
  compatible:
    - claude-3-5-sonnet
    - gpt-4
    - gpt-4o

mcp:
  server: office-mcp
  tools:
    - create_docx
    - extract_text_from_pdf

capabilities:
  - literature_search
  - paper_analysis
  - methodology_assessment
  - citation_management
  - research_synthesis

languages:
  - en
  - zh

related_skills:
  - deep-research
  - web-search
  - content-writer

Academic Search Skill

Overview

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

---

How to Use Me

Step 1: Define Your Research Topic

Tell me:

• Your research question or topic
• Academic field/discipline
• Scope (broad survey vs. specific topic)
• Purpose (literature review, thesis, curiosity)

Step 2: Get Search Strategy

I'll provide:

• Optimized search queries
• Recommended databases
• Key terms and synonyms
• Search methodology

Step 3: Analyze Findings

If you share papers/abstracts, I can:

• Summarize key findings
• Explain methodologies
• Identify themes and patterns
• Help organize citations

---

Academic Databases

General Databases

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

Field-Specific Databases

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

Preprint Servers

Server	Fields
arXiv	Physics, Math, CS, Biology
bioRxiv	Life Sciences
medRxiv	Medical Sciences
SSRN	Social Sciences
ChemRxiv	Chemistry

---

Search Query Formulation

Boolean Operators

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 ethics

Advanced Techniques

1. PICO Framework (Medical/Health)

P - Population/Patient
I - Intervention
C - Comparison
O - Outcome

Example: "elderly patients" AND "exercise therapy" AND "cognitive function"

2. Concept Mapping

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")

3. Citation Chaining

Forward citation: Who cited this paper?
Backward citation: What did this paper cite?
→ Both methods help find related work

Search Filters

Filter	Use Case
Date range	Recent developments
Publication type	Review vs. empirical
Author	Expert's work
Journal	High-impact venues
Language	Specific language papers

---

Paper Analysis Framework

Reading Strategy: Three-Pass Method

Pass 1: Survey (5-10 min)

• Read title, abstract, introduction
• Scan headings and figures
• Read conclusion
• Outcome: Decide if worth reading more

Pass 2: Understanding (30-60 min)

• Read carefully but skip proofs/details
• Note key points and questions
• Understand figures and tables
• Outcome: Grasp main contributions

Pass 3: Deep Dive (hours)

• Virtually re-implement the work
• Challenge every assumption
• Identify strengths and weaknesses
• Outcome: Expert-level understanding

Critical Analysis Questions

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?

---

Output Format

Search Strategy Output

# Academic Search Strategy: [Topic]

**Research Question**: [Your question]
**Field**: [Discipline]
**Date**: [Date]

---

## Search Queries

### Primary Query

[Optimized query with Boolean operators]

### Alternative Queries
1. `[Broader query]`
2. `[Narrower query]`
3. `[Related angle]`

---

## Recommended Databases

| Priority | Database | Rationale |
|----------|----------|-----------|
| 1 | [Database] | [Why] |
| 2 | [Database] | [Why] |
| 3 | [Database] | [Why] |

---

## Key Terms & Synonyms

| Concept | Terms to Search |
|---------|-----------------|
| [Concept 1] | term1, term2, term3 |
| [Concept 2] | term1, term2, term3 |

---

## Search Methodology

1. Start with [database] using [query]
2. Apply filters: [filters]
3. Review first [X] results by relevance
4. Use citation chaining on key papers
5. Search [database 2] for [specific aspect]

---

## Expected Paper Types

- Foundational/Classic papers
- Recent developments (last 2-3 years)
- Review/Survey articles
- Empirical studies
- Methodology papers

---

## Quality Indicators to Look For

- [ ] Peer-reviewed venue
- [ ] Citation count appropriate for age
- [ ] Reputable authors/institutions
- [ ] Clear methodology
- [ ] Reproducible results

Literature Review Output

# Literature Review: [Topic]

**Scope**: [What's covered]
**Papers Analyzed**: [Number]
**Date**: [Date]

---

## Overview

[Summary of the research landscape]

---

## Themes

### Theme 1: [Name]
[Summary of papers in this theme]

**Key Papers**:
- [Author] ([Year]): [Key finding]
- [Author] ([Year]): [Key finding]

### Theme 2: [Name]
[Summary of papers in this theme]

---

## Methodological Approaches

| Approach | Papers Using It | Pros | Cons |
|----------|-----------------|------|------|
| [Method 1] | [X] | | |
| [Method 2] | [X] | | |

---

## Key Findings

1. [Finding 1] - supported by [papers]
2. [Finding 2] - supported by [papers]
3. [Finding 3] - supported by [papers]

---

## Research Gaps

1. [Gap 1]: [Why it matters]
2. [Gap 2]: [Why it matters]

---

## Recommendations for Future Research

1. [Direction 1]
2. [Direction 2]

---

## References

[Formatted citations]

---

Citation Formats

APA 7th Edition

Author, A. A., & Author, B. B. (Year). Title of article. 
Journal Name, Volume(Issue), Page–Page. https://doi.org/xxxxx

IEEE

[1] A. Author and B. Author, "Title of article," Journal Name, 
vol. X, no. X, pp. XX–XX, Month Year.

Chicago

Author Last, First. "Title of Article." Journal Name Volume, 
no. Issue (Year): Page–Page.

---

Tips for Better Results

1. Start with review articles to understand the landscape
2. Use citation chaining - both forward and backward
3. Check author profiles for related work
4. Set up alerts for new papers on your topic
5. Use reference managers (Zotero, Mendeley)
6. Read abstracts first to filter efficiently
7. Focus on recent + seminal papers

---

Limitations

• 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!