sn-search-academic

Search academic papers across ArXiv, Semantic Scholar, PubMed, and Wikipedia.

2|Updated May 19, 2026
One-click install
npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill sn-search-academic-aiyinluya
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sn-search-academic
Source: https://github.com/aiyinluya/SenseNova-Skills-Studio/tree/main/skills/sn-search-academic
Command: npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill sn-search-academic-aiyinluya

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, beautifulsoup4, and includes scripts (resource) components.

What problem does it solve?

It solves the time-consuming task of finding relevant academic material across multiple sources and then extracting the exact sections you want to read, without switching tools or manually searching PDFs.

Core Features & Use Cases

  • Multi-provider academic search: Finds papers and knowledge from ArXiv, Semantic Scholar, PubMed, and Wikipedia with consistent JSON results for downstream reading.
  • Section-level full-text reading: Retrieves chapter/section content for ArXiv HTML and PMC (open-access) JATS XML, letting you deep-read only what matters.
  • Citation tracing (research acceleration): Follows reference chains (backward) or follow-up work (forward) in Semantic Scholar to expand coverage beyond keyword search.

Quick Start

Ask the assistant to search “transformer attention mechanism” on ArXiv and return the most relevant results.

Frequently Asked Questions about sn-search-academic

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

FAQPage Schema
How do I search academic papers across ArXiv and PubMed and read specific sections?

You can search ArXiv, Semantic Scholar, PubMed, and Wikipedia simultaneously, then retrieve section-level content from ArXiv HTML and PMC open-access full text for targeted reading without switching tools.

What is citation tracing and how does it help with literature reviews?

Citation tracing in Semantic Scholar follows reference chains backward or follow-up work forward to expand literature coverage beyond keyword search, accelerating literature reviews through connected citation networks.

Can I extract full-text sections from open-access papers without downloading PDFs?

Yes, section-level full-text reading retrieves chapter and section content directly from ArXiv HTML and PMC JATS XML open-access sources by parsing HTML and XML, letting you deep-read targeted excerpts without manually searching PDFs.

Do I need an API key to search Semantic Scholar or PubMed for papers?

An API key is not required but provides optional support for higher rate limits when searching Semantic Scholar or PubMed. The Skill functions without one, returning standardized JSON results for downstream reading and citation tracing.

What's the best way to find open-access papers on a specific topic for a literature review?

Multi-provider academic search across ArXiv, Semantic Scholar, PubMed, and Wikipedia combined with citation tracing expands coverage beyond initial keyword results, providing comprehensive open-access material for literature reviews.

Are there limitations when reading full-text sections from ArXiv or PMC papers?

Section-level reading is limited to ArXiv HTML and PMC open-access JATS XML full text. Papers without HTML versions or open-access status cannot be section-parsed, though search and citation tracing remain available across all providers.