Retrieve academic works and metadata from the OpenAlex API with citation graph signals.
npx skills add https://github.com/Shallow-W/llm-wiki --skill openalex-shallow-w
Please help me install this Agent Skill. Skill: openalex Source: https://github.com/Shallow-W/llm-wiki/tree/main/.claude/skills/openalex Command: npx skills add https://github.com/Shallow-W/llm-wiki --skill openalex-shallow-w
It solves the problem of finding and summarizing academic work with comprehensive, open citation-graph metadata that goes beyond arXiv-only or venue-centric listings.
Use case: You need the most-cited open-access papers on “machine learning fairness” from 2020–2023 and want titles, abstracts, DOIs, citation counts, topics, and OA status in one pass.
Ask: /openalex "machine learning fairness" — sort: citations — open-access — min-citations: 50 — year: 2020-2023
High-intent search queries and answers about installing and using this skill.
To search for academic papers with citation counts and open access status, use the OpenAlex API to retrieve works along with their abstracts, DOIs, and citation graph signals. You can filter results by year, work type, and minimum citations to find relevant open access literature.
The best way to find highly cited open access literature on a specific topic is to query an open academic database like OpenAlex. You can filter by open access status, set a minimum citation threshold, and sort results by citation count to retrieve ranked papers with DOIs and abstracts.
Yes, you can retrieve author affiliations and funding information when searching for academic works. Using the OpenAlex API, the search results include institutional context, funding-related metadata, and citation graph attributes alongside standard bibliographic data like titles and OpenAlex IDs.
You can filter academic search results by publication year and work type by applying specific parameters in your OpenAlex API query. The system supports narrowing down literature searches by year ranges, work types like preprints or articles, and sorting preferences to return structured JSON results.
Yes, OpenAlex provides DOIs and abstracts for open access papers in its search results. When you retrieve academic metadata through the API, the ranked output includes the DOI, OpenAlex ID, abstract text, and the open access status for each discovered work.
Limitations of using OpenAlex for academic metadata retrieval include its reliance on the availability of open citation graph data and the need to resolve a local fetcher script. While it covers comprehensive metadata like funding and affiliations, abstract text availability may vary depending on the original publication's open access status.
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