Productivity

academic-search

claude-office-skills/skills · updated Apr 10, 2026

$npx skills add https://github.com/claude-office-skills/skills --skill academic-search
summary

I help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.

skill.md

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!

general reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    academic-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 9, 2024

    Keeps context tight: academic-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Aug 8, 2024

    Registry listing for academic-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Jul 7, 2024

    academic-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Jun 6, 2024

    I recommend academic-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· May 5, 2024

    Useful defaults in academic-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Apr 4, 2024

    academic-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: academic-search is focused, and the summary matches what you get after install.

  • Pratham Ware· Feb 2, 2024

    We added academic-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jan 1, 2024

    academic-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.