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mark64oswald AI Skills

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Browse published AI skills maintained by mark64oswald. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

49

Repository forks

7

Average repository stars per indexed skill

7

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

healthsim-networksim

mark64oswald

NetworkSim provides provider network intelligence using real NPPES data (8.9M providers). Use this skill for ANY request involving: (1) provider search by specialty or location, (2) facility search (hospitals,...

GitHub

healthsim-membersim

mark64oswald

MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.

GitHub

healthsim-rxmembersim

mark64oswald

RxMemberSim generates realistic synthetic pharmacy data for testing PBM systems, claims adjudication, and drug utilization review. Use when user requests: (1) pharmacy claims or prescription data, (2) DUR alert...

GitHub

healthsim-populationsim

mark64oswald

PopulationSim provides population-level intelligence using public data sources. Use this skill for ANY request involving: (1) population demographics or profiles, (2) geographic health patterns or disparities,...

GitHub

healthsim-trialsim

mark64oswald

Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/S...

GitHub

healthsim-patientsim

mark64oswald

Generate realistic clinical patient data including demographics, encounters, diagnoses, medications, labs, and vitals. Use when user requests: (1) patient records or clinical data, (2) EMR test data, (3) specif...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.