Search PMC Open Access papers full-text and extract metadata with snippets.
npx skills add https://github.com/fmschulz/omics-skills --skill polars-dovmed
Please help me install this Agent Skill. Skill: polars-dovmed Source: https://github.com/fmschulz/omics-skills/tree/main/skills/polars-dovmed Command: npx skills add https://github.com/fmschulz/omics-skills --skill polars-dovmed
Facilitate scalable access to 2.4M+ PMC Open Access papers by enabling fast full-text search, discovery, and extraction of key metadata for literature reviews and data-driven studies.
Run a full-text search against PMC Open Access papers using the provided API key and summarize the results.
High-intent search queries and answers about installing and using this skill.
To perform full-text search on PMC Open Access papers, use this Skill to query 2.4M+ articles and retrieve matching snippets along with metadata like PMCID, DOI, title, and year. You can apply filters for year, journal, and organism.
Yes, you need a valid API key configured as POLARS_DOVMED_API_KEY and a base URL to search PMC Open Access papers. This credential is required to authenticate requests and retrieve metadata with matched text snippets.
Searching biomedical literature in PMC extracts metadata including PMCID, DOI, title, and publication year, along with matched text snippets. This output supports literature reviews and trend analysis across diseases.
Yes, you can filter PMC full-text search results by year, journal, and organism. These filters allow targeted literature discovery and trend analysis across the 2.4M+ open access papers.
The best way to extract data from PMC Open Access papers for trend analysis is using full-text search with year, journal, and organism filters. This yields structured metadata and text snippets for evidence-based data-driven studies.
You can search over 2.4 million PMC Open Access papers for biomedical literature discovery. The full-text search mechanism retrieves metadata and matched snippets to facilitate scalable literature reviews and data extraction.
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