What types of entities can I search for?

You can query works (papers), authors, institutions, sources (journals), topics, publishers, and funders.

How do I increase my rate limits with this skill?

By providing an email address to the OpenAlexClient, you gain access to the 'polite pool,' which increases your rate limit from 1 to 10 requests per second.

Can I download large datasets of papers?

Yes, the skill includes pagination and batch lookup features designed for large-scale data extraction of up to 10,000+ results.

Do I need an API key to use the OpenAlex skill?

No, OpenAlex is a completely open database and does not require an API key for access.

OpenAlex Scholarly Database Search

Name: OpenAlex Scholarly Database Search
Author: Microck

byMicrock

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Data Science & ML

Query and analyze over 240 million scholarly works using the OpenAlex API for research and bibliometric analysis.

About

The OpenAlex Database skill empowers Claude to search, track, and analyze scientific literature across a global catalog of over 240 million works. It provides specialized tools for finding papers by topic, mapping author and institutional research outputs, tracking citation networks, and identifying open-access publications. By automating complex API interactions like two-step entity lookups and batch processing, this skill enables researchers and developers to perform sophisticated bibliometric studies, trend analysis, and large-scale data extraction directly within their AI-powered workflows.

Key Features

Trend analysis for monitoring publication output and subject evolution over time
Automated two-step entity lookups for accurate researcher and university data
Advanced search across 240M+ papers, authors, institutions, and topics
High-performance batch processing and pagination for large-scale data extraction
Citation analysis tools to track research impact and influential works
81 GitHub stars

Use Cases

Extracting large datasets of scholarly metadata for data science and ML projects
Conducting comprehensive literature reviews and finding open-access research
Analyzing the research productivity and impact of specific institutions or authors

About

Key Features

Trend analysis for monitoring publication output and subject evolution over time
Automated two-step entity lookups for accurate researcher and university data
Advanced search across 240M+ papers, authors, institutions, and topics
High-performance batch processing and pagination for large-scale data extraction
Citation analysis tools to track research impact and influential works
81 GitHub stars

Use Cases

Extracting large datasets of scholarly metadata for data science and ML projects
Conducting comprehensive literature reviews and finding open-access research
Analyzing the research productivity and impact of specific institutions or authors