paper-search
The paper-search skill enables researchers to query Google Scholar through the Serper API to locate academic papers and scholarly articles on specific topics. Use this skill when grounding claims in peer-reviewed research, finding seminal works with citation metrics, identifying systematic reviews, or discovering papers within particular publication date ranges to support evidence-based writing and analysis.
git clone --depth 1 https://github.com/open-gitagent/opengap /tmp/paper-search && cp -r /tmp/paper-search/examples/nvidia-deep-researcher/skills/paper-search ~/.claude/skills/paper-searchSKILL.md
# 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 1. Formulate an academic-style search query 2. Optionally specify year filters to narrow results by publication date 3. Call `paper_search` with the query 4. 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 terminology for better results - Include key author names if known - Filter by year for rapidly evolving topics - Prefer highly-cited papers for foundational claims
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