Automate academic paper retrieval across Semantic Scholar, OpenAlex, and arXiv with deduplication and PDF extraction.
npx skills add https://github.com/HosungYou/Diverga --skill i1
Please help me install this Agent Skill. Skill: i1 Source: https://github.com/HosungYou/Diverga/tree/main/skills/i1 Command: npx skills add https://github.com/HosungYou/Diverga --skill i1
This Skill automates the time-consuming process of finding and retrieving academic papers from multiple online databases, essential for systematic literature reviews.
Use the i1 skill to fetch papers on the topic of "AI in education" from Semantic Scholar and OpenAlex.
High-intent search queries and answers about installing and using this skill.
To automate paper retrieval for a systematic literature review, you can query multiple academic databases like Semantic Scholar, OpenAlex, and arXiv simultaneously. This approach handles API rate limiting and deduplication to gather relevant papers efficiently.
Finding direct PDF links when fetching papers from OpenAlex and Semantic Scholar is supported through PDF URL extraction. The process attempts to locate and retrieve direct links to the PDF versions of the papers found during the database search.
Yes, you can use institutional database APIs with API key validation for paper retrieval. The system supports both open access and institutional databases, requiring API key validation to authenticate and fetch papers from protected academic repositories.
The best way to search arXiv and OpenAlex while handling API rate limiting is to use an automated multi-database retrieval tool. It manages API limitations natively, ensuring continuous querying and deduplication without hitting rate limits.
To remove duplicate papers when querying Semantic Scholar and OpenAlex together, the retrieval process includes built-in deduplication. It automatically identifies and removes duplicate results after gathering papers from the multiple queried databases.
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