paper-search

Search PubMed, Google Scholar, Semantic Scholar, and arXiv for academic literature.

Updated Jan 13, 2026

Search Tags:#PubMed #arXiv #systematic-review #literature-search #Google Scholar #citation-tracking #scholarly-databases

Ready to run

npx skills add https://github.com/MrGKanev/agent-skills --skill paper-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-search
Source: https://github.com/MrGKanev/agent-skills/tree/main/my-skills/paper-search
Command: npx skills add https://github.com/MrGKanev/agent-skills --skill paper-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill locates relevant academic literature across multiple scholarly databases and accelerates literature discovery.

Core Features & Use Cases

Multi-database Search: Query PubMed, Google Scholar, Semantic Scholar, arXiv, and related sources from a single interface.
Quality Filtering & Ranking: Apply recency, venue quality, and citation signals to surface high-impact papers.
Workflow Support: Ideal for literature reviews, systematic searches, and citation tracking with export-ready metadata.

Quick Start

For example, search topic: "machine learning in healthcare" to generate a literature map with key papers, suggested queries, and basic metadata (title, authors, venue, year, DOI).

Frequently Asked Questions about paper-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I search multiple scholarly databases like PubMed and arXiv at the same time?▼

You can search multiple scholarly databases simultaneously by querying PubMed, arXiv, and Semantic Scholar from a single interface. The tool applies boolean operators and field syntax to return structured literature results.

Can I track citations and find high-impact papers for a literature review?▼

Yes, you can track citations and surface high-impact papers by applying citation signals and venue quality filters. This workflow support generates structured metadata including citation counts, ideal for systematic literature reviews.

What metadata format does the literature search output for reference managers?▼

The literature search outputs structured metadata containing titles, authors, venue, year, DOI, and citation counts. This export-ready format is suitable for direct integration with reference managers.

Does the literature search tool require any API keys or database subscriptions?▼

No API keys or database subscriptions are required. The search relies on web-based search tools like WebSearch and WebFetch to locate academic literature across public scholarly databases.

How do I use boolean operators and field syntax for systematic searches?▼

You can apply boolean operators and field syntax directly in your search queries to refine systematic searches. This filters results across databases like Google Scholar and PubMed to target specific academic literature.

What is the best way to scope a research topic across Semantic Scholar and Google Scholar?▼

The best way to scope a research topic is to run a targeted query across Semantic Scholar and Google Scholar. The tool generates a literature map with key papers, suggested queries, and basic metadata.