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Claude Skills by mark64oswald
github.com/mark64oswald13 skills0 installs17 views
- healthsimHealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.Votes: 0GitHub stars: 9
- MigrationHealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing cohorts or sample data generation.Votes: 0GitHub stars: 9
- CommonCross-product infrastructure skills that enable persistence, identity correlation, and database operations across all HealthSim products.Votes: 0GitHub stars: 9
- GenerationConversation-driven specification and execution of healthcare data generation at scaleVotes: 0GitHub stars: 9
- MembersimMemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.Votes: 0GitHub stars: 9
- NetworksimNetworkSim 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, nursing homes, clinics), (3) NPI validation, (4) network adequacy assessment against CMS/NCQA standards, (5) healthcare desert identification, (6) provider density analysis, (7) network roster generation, (8) hospital or physician quality metrics, (9) cross-product provider assignment, ...Votes: 0GitHub stars: 9
- PatientsimGenerate 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) specific clinical cohorts like diabetes or heart failure, (4) HL7v2 or FHIR patient resources.Votes: 0GitHub stars: 9
- PopulationsimPopulationSim 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, (3) social determinants of health (SDOH), (4) SVI or ADI analysis, (5) cohort definition or specification, (6) clinical trial feasibility, site selection, or enrollment projection, (7) service area analysis, (8) health equity assessment, (9) census data or ACS variables, (10) CDC PLACES...Votes: 0GitHub stars: 9
- RxmembersimRxMemberSim 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 alerts or drug interactions, (3) formulary or tier cohorts, (4) pharmacy prior authorization, (5) NCPDP formatted output.Votes: 0GitHub stars: 9
- TrialsimGenerate 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/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.Votes: 0GitHub stars: 9
- Build PromptsUpload one skill to the Anthropic Skills API to validate the upload flow and confirm the skill loads correctly in a Managed Agent. Use the `skills/common/` skill since it's the simplest.Votes: 0GitHub stars: 9
- FormatsOutput format specifications for healthcare data standards. Use when generating or converting data to FHIR R4, HL7v2 (ADT/ORM/ORU), C-CDA, X12 (837/835/834/270-271), NCPDP D.0, CDISC SDTM/ADaM, CSV, SQL, or dimensional analytics formats.Votes: 0GitHub stars: 9
- CommonDuckDB-based unified data architecture for HealthSim. Provides persistent storage for canonical entities across all products, enabling cross-product queries and cohort management. Use for loading cohorts, saving cohorts, querying the canonical data model, and token-efficient cohort operations.Votes: 0GitHub stars: 9