Query and analyze scholarly literature via the OpenAlex API.
npx skills add https://github.com/Hung-3008/agusta --skill openalex-database-hung-3008
Please help me install this Agent Skill. Skill: openalex-database Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/openalex-database Command: npx skills add https://github.com/Hung-3008/agusta --skill openalex-database-hung-3008
Researchers often need a scalable way to query 240M+ scholarly works, identify trends, and perform bibliometric analyses across authors, institutions, topics, and sources. This skill consolidates OpenAlex API access into a cohesive workflow to search for papers, track citations, discover OA publications, and analyze research output.
Perform a quick test by creating an OpenAlexClient with your email and running a simple, high-level search.
High-intent search queries and answers about installing and using this skill.
You can search scholarly literature and filter works by citation count or open access status using the OpenAlex API, which supports filtering 240M+ works by title, abstract, topic, year, and OA status to retrieve targeted bibliometric results.
Yes, you can perform batch DOI lookups and random sampling for reproducible bibliometric analysis using the OpenAlex API, which supports bulk lookups, random sampling with seed for reproducibility, and pagination with per-page limits.
Trace author and institution collaboration patterns across open access publications by querying the OpenAlex database to find works by specific authors or institutions, assembling publication lists, and analyzing research output and topic distributions.
Querying the OpenAlex database requires the Python requests library for API access, and providing an email via the OpenAlexClient enables polite pool access for faster, more reliable response rates during batch lookups and pagination.
The best way to analyze research trends and topic distributions across time for a large set of works is using the OpenAlex API group_by functionality, which allows you to aggregate and analyze citation trends and topic distributions across millions of works.
Limitations when using complex filter patterns for advanced queries in bibliometric studies include managing pagination and per-page limits carefully to avoid API rate restrictions, though utilizing the polite pool via email helps mitigate throughput constraints.
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