Search PubMed, Google Scholar, Semantic Scholar, and arXiv for academic literature.
npx skills add https://github.com/MrGKanev/agent-skills --skill paper-search
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
This Skill locates relevant academic literature across multiple scholarly databases and accelerates literature discovery.
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).
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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