Model infectious-disease outbreaks — run SIR and SEIR compartmental models, find the epidemic peak height and timing and the final attack rate, compute the basic reproduction number R0 and the herd-immunity threshold, and convert between growth rate, doubling time, and case counts. Includes a stdlib model runner (RK4 integration). Use when the user asks about an SIR/SEIR curve, R0 or Rt, herd immunity, flattening the curve, epidemic peak or final size, or the doubling time of case counts. Informational modeling, not clinical or public-health advice.
$npx -y skills add nocetic/flowly --skill epidemiologyInstalls into the current project.
Run `npx skills use "https://github.com/nocetic/flowly" --skill "nocetic/flowly/epidemiology"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nocetic/flowly" that are relevant to the current task. Run `npx skills add "https://github.com/nocetic/flowly"` and select the relevant skills, then follow their instructions.