medical-research-literature-reader-pro

Provide the paper as a PDF, abstract, DOI, PMID, or title and request an analysis. The skill classifies the study type, routes it to the correct appraisal track, and returns a structured report covering strengths, weaknesses, evidence strength, and interpretation boundaries.

Request the Journal Club Discussion Kit plugin after the standard analysis. It produces a background opener, three key findings, three strengths, three concerns, five discussion questions, and a one-sentence take-home message.

Yes, the skill works with whatever input is provided, including abstracts, titles, DOIs, or PMIDs. Sections requiring full text, such as figure review and detailed statistical reporting, are explicitly marked as unavailable rather than fabricated.

It supports clinical and epidemiological studies, bioinformatics and multi-omics papers, basic experimental research, and hybrid papers combining computational discovery with wet-lab validation or clinical data with machine learning.

Yes, it flags language that overstates the evidence level, such as claiming causation from observational data or therapeutic targets from database mining alone. Overclaims are reported in the interpretation-boundary section with corrected statements.

The skill cannot retrieve papers it has no access to and will not fabricate content from identifiers alone. Related-literature suggestions may require verification against a live database, and it does not write manuscript sections from scratch.