paper-search
Paper Search queries Google Scholar to locate peer-reviewed research, systematic reviews, and seminal papers with citation metrics. Filter results by publication year and review snippets to ground claims in academic literature.
Paper Search finds peer-reviewed academic papers on your research topic via Google Scholar.
AI-generated summary based on this skill's SKILL.md
Install
open-gitagent/opengap/paper-search · repository language: TypeScript
git clone https://github.com/open-gitagent/opengap
cp -r opengap/examples/nvidia-deep-researcher/skills/paper-search ~/.claude/skills/paper-searchFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I find peer-reviewed research papers using Paper Search?
Paper Search queries Google Scholar to locate peer-reviewed academic papers on your topic. Enter your research question or keywords, and the skill retrieves results with publication details, citation counts, and snippets. You can then review abstracts and access full papers through your institution or open-access repositories.
Can Paper Search locate seminal papers by citation count?
Yes. Paper Search retrieves citation metrics for each result, allowing you to identify highly-cited seminal papers that form the foundation of your field. Sort or filter by citation count to find the most influential works on your topic, then use those to build your literature review.
How do I search for meta-analyses and systematic reviews?
Paper Search can search systematic reviews and meta-analyses in your field. Add keywords like "meta-analysis" or "systematic review" to your search query, and the skill will filter Google Scholar results to show only these synthesis studies, helping you find comprehensive overviews of evidence.
Can I filter academic results by publication year?
Paper Search supports filtering and narrowing academic results by publication year. Specify your desired date range (for example, 2020–2025) when you search, and the skill will return only papers published within that window, helping you focus on recent or historical research as needed.
How does Paper Search help ground research claims in scholarly evidence?
Paper Search retrieves peer-reviewed papers with snippets and citations that you can use to support your claims. By locating relevant, highly-cited studies on your topic, the skill helps you build credible, evidence-based arguments rooted in academic literature rather than speculation.
Can I search for papers by author name using Paper Search?
Yes. Paper Search supports academic paper search with author name. Enter an author's name alongside your topic keywords to find their publications on a specific subject, making it easy to track a researcher's contributions or build a reading list from key scholars in your field.
SKILL.md
rendered from the published skill — quoted content, verbatim
Paper Search
Search for academic papers and scholarly articles via Google Scholar using the Serper API.
When to Use
- Finding peer-reviewed research on a topic
- Locating seminal papers and their citation counts
- Searching for systematic reviews and meta-analyses
- Grounding claims in academic literature
How to Use
- Formulate an academic-style search query
- Optionally specify year filters to narrow results by publication date
- Call
paper_searchwith the query - Review results for relevance, citation count, and recency
Result Format
Results are returned in markdown format:
**Title of Paper**
Authors: Author A, Author B
Year: 2024 | Citations: 142
Snippet: Brief excerpt from the paper abstract or body...
URL: https://scholar.google.com/...
Constraints
- Results sourced from Google Scholar via Serper API
- Supports year filtering (e.g., papers from 2020-2025)
- Snippet may be from abstract or body text
- Each call counts toward the researcher's 8-call limit per task
Best Practices
- Use domain-specific
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examples/nvidia-deep-researcher/skills/paper-search/SKILL.md