academic-search

Retrieve and rank top academic papers from arXiv, Semantic Scholar, and Google Scholar.

Updated Apr 9, 2026

Search Tags:#multi-database #arxiv #literature-review #academic-search #semanticscholar #paper-discovery #citation-analysis

Ready to run

npx skills add https://github.com/jakechen1/echo-research-framework --skill academic-search-jakechen1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: academic-search
Source: https://github.com/jakechen1/echo-research-framework/tree/main/skills-disabled/academic-search
Command: npx skills add https://github.com/jakechen1/echo-research-framework --skill academic-search-jakechen1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Academic researchers often struggle to locate and synthesize the most relevant literature across multiple databases, manage deduplication, and extract structured metadata for quick appraisal.

Core Features & Use Cases

Cross-database discovery across arXiv, Semantic Scholar, and Google Scholar to surface a focused Top 5 set of papers.
Automated metadata curation including authors, year, venue, DOI/arXiv ID, and open-access status, with robust deduplication.
Synthesis-friendly outputs that enable rapid literature reviews, citation-network insights, and reading order planning for new topics.

Quick Start

Query your topic and let the skill return a ranked Top 5 with full bibliographic details and a concise synthesis.

Frequently Asked Questions about academic-search

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

FAQPage Schema

How do I find top academic papers across multiple databases like arXiv and Semantic Scholar?▼

To find top academic papers across multiple databases, query your topic to retrieve and deduplicate results from arXiv, Semantic Scholar, and Google Scholar. This process surfaces a focused Top 5 set with full bibliographic metadata and open-access status for rapid appraisal.

What is the best way to collect literature review metadata and citation information?▼

The best way to collect literature review metadata is to use automated curation that extracts authors, year, venue, DOI, and arXiv ID. This identifies top papers across databases while deduplicating records to ensure complete bibliographic metadata.

Can I get a synthesis of academic search results to plan my reading order?▼

Yes, you can get a synthesis of academic search results to plan your reading order. The output provides synthesis-friendly formatted data and cross-database verification, enabling rapid literature reviews and citation-network insights for new topics.

Does this academic search approach work for cross-database paper discovery without manual deduplication?▼

Yes, cross-database paper discovery works without manual deduplication. The system automatically parses search results, removes duplicate records across arXiv, Semantic Scholar, and Google Scholar, and presents a verified ranked list ensuring complete bibliographic metadata.

How do I verify open-access status and bibliographic details for discovered papers?▼

To verify open-access status and bibliographic details, the system parses results and extracts structured metadata including DOI and arXiv ID. It provides cross-database verification to ensure reproducibility and complete bibliographic metadata for your Top 5 papers.