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O0000-codeCOMMUNITY
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paper-search-pro

Discover academic papers from multiple APIs and generate HTML reports.

130|8|Updated May 24, 2026
Search Tags:#academic papers#PubMed#literature search#arXiv#OpenAlex#Semantic Scholar
One-click install
npx skills add https://github.com/O0000-code/paper-search-pro --skill paper-search-pro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-search-pro
Source: https://github.com/O0000-code/paper-search-pro/tree/main
Command: npx skills add https://github.com/O0000-code/paper-search-pro --skill paper-search-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, openalex, semanticscholar, biopython, arxiv, PyYAML, Jinja2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of discovering academic papers from multiple sources with adjustable depth, enabling users to find relevant literature for research, writing, and review purposes.

Core Features & Use Cases

  • Multi-source Literature Search: Access papers from OpenAlex, Semantic Scholar, CrossRef, PubMed, and arXiv.
  • Adjustable Depth: Offers four tiers of search depth (Quick, Standard, Deep, Audit) to cater to different user needs.
  • Journal Partitions: Categorize papers by journal quality (中科院分区, JCR quartile, SJR quartile).
  • Single-file HTML Report: Generate a comprehensive, self-contained report for easy reference.
  • Use Case: When conducting research, this Skill can help you find relevant papers quickly and efficiently, and the report can be shared with others for review.

Quick Start

Use the paper-search-pro skill to find papers on "working memory training in older adults".

Frequently Asked Questions about paper-search-pro

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

FAQPage Schema
How do I search academic papers across PubMed and arXiv at the same time?▼

Multi-source literature search across PubMed and arXiv is automated by querying OpenAlex, Semantic Scholar, and CrossRef simultaneously. Results are aggregated and deduplicated into a unified dataset for comprehensive academic discovery.

Can I filter literature search results by journal quartile or partition?▼

Journal partitions filter literature search results by categorizing papers using JCR quartile, SJR quartile, and CAS partition metrics. This ensures only publications meeting specific journal quality thresholds are retained.

How do I export academic papers to BibTeX or RIS format?▼

Exporting academic papers to BibTeX or RIS format is handled natively alongside CSV outputs. Search results from APIs like Semantic Scholar and OpenAlex are automatically formatted into these citation standards.

What's the best way to generate a PRISMA-S log for a systematic literature review?▼

Generating a PRISMA-S log for a systematic literature review requires tracking search strategies across databases. This skill automates log creation while querying sources like PubMed and arXiv with adjustable depth tiers.

Do I need Python and specific libraries to run an OpenAlex or PubMed search?▼

Python is required along with dependencies like biopython, openalex, semanticscholar, and arxiv to execute API queries. A local configuration file is also necessary to define search parameters and manage the environment setup.

How does adjustable search depth affect literature discovery results?▼

Adjustable search depth affects literature discovery by offering Quick, Standard, Deep, and Audit tiers. Higher tiers expand query parameters and source coverage, yielding more comprehensive results for systematic reviews compared to quick lookups.

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