What problem does it solve? Finding and analyzing academic literature at scale requires navigating complex scholarly APIs, resolving ambiguous author or institution names, and handling rate limits. This Skill provides a structured CLI workflow to search, filter, and retrieve scholarly metadata from OpenAlex without writing custom API integration code. ## Core Features & Use Cases - Entity Resolution & Lookup: Resolve names of authors, institutions, topics, and sources to canonical OpenAlex IDs, then fetch full metadata or perform DOI lookups. - Filtered Search & Aggregation: Filter works by publication year, open-access status, citations, and more; group results by field for bibliometric analysis like institutional output by year. - PDF Download & Bibliometrics: Download open-access PDFs with fallback locations and retrieve citation counts, h-index, and impact metrics. - Use Case: A researcher wants the top 10 most-cited papers by a specific author. Resolve the author's name to an ID, filter works by that author ID sorted by citation count, and export the slimmed results to JSON. ## Quick Start Ask the assistant to find the most-cited recent papers on a topic using the OpenAlex literature search skill, for example by requesting the top open-access papers on single-cell RNA-seq from 2023.