For recurring research tasks,
add a skill that helps.
Skills are instructions and tools that teach AI how to perform a specific task.
Choose what your research needs, from data exploration and statistics to reference verification.
7 tool collections
Explore distributions, missing data and potential outliers with Exploratory Data Analysis (EDA). The tool produces a Korean HTML report highlighting issues to review before analysis.
Analyze baseline characteristics according to the study design, including RCTs and observational studies, and prepare a manuscript-ready Table 1.
Review Kaplan–Meier curves, log-rank tests, median survival and numbers at risk.
Estimate adjusted hazard ratios with Cox regression, assess multicollinearity and check the proportional-hazards assumption.
Review an existing analysis, reproduce it in R and compare the numerical results.
Check whether references exist, compare bibliographic details and examine support for cited claims against PubMed.
A collection of medical research skills covering study design, data preparation, statistics, writing and reporting-guideline checks.
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Skills saved with ☆ remain available in this browser.
Check each tool’s purpose and outputs, then choose one that fits your current task.
Run the commands on the detail page one line at a time. Check prerequisites such as Python as well.
Prepare your files, adapt the example prompt and review the results before using them in your research.
The MediStat series and CoVe Reference Verifier are Ki-Hyun Jeon’s public GitHub projects. MedSci Skills is created and maintained by Yoojin Nam (Aperivue). We prioritize the original creator’s documentation and installation source.
The search, filters and card/list views were inspired by Public Sector AX Case Archive (PAX).