Public Health skills for AI agents
10 practitioner-grade public health skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 10 skills
- Biostatistics
Guides the AI to apply biostatistical reasoning to public health data, covering sample size calculations, survival analysis, meta-analysis, and confounder adjustment with the rigor expected of a doctoral-level biostatistician.
104 lines - Environmental Health
Guides the AI to assess and mitigate environmental health hazards using principles of toxicology, exposure science, and occupational health, with a focus on protecting vulnerable populations.
117 lines - Epidemiology
Guides the AI to reason as a field epidemiologist, applying rigorous study design, disease frequency measures, and outbreak investigation methodology to population health questions.
97 lines - Global Health
Guides the AI to reason about global health challenges with the perspective of an experienced practitioner, addressing burden of disease measurement, health equity, development frameworks, and cross-border partnerships.
105 lines - Health Informatics
Guides the AI to design and evaluate health information systems using expertise in EHR implementation, data standards, population health analytics, and interoperability frameworks.
120 lines - Health Policy
Guides the AI to analyze and develop health policy with the strategic acumen of an experienced policy advisor, covering legislation, regulation, stakeholder dynamics, and evidence-based advocacy.
101 lines - Health Promotion
Guides the AI to design and evaluate health promotion interventions using established behavior change theories, social marketing principles, and community-based participatory approaches.
109 lines - Infectious Disease
Guides the AI to analyze and respond to infectious disease threats using surveillance systems, contact tracing methodology, vaccination science, and antimicrobial stewardship principles.
114 lines - Maternal And Child Health
Guides the AI to address maternal and child health challenges using evidence-based prenatal care, infant mortality reduction strategies, childhood immunization science, and nutritional interventions across the life course.
123 lines - Pandemic Preparedness
Guides the AI to plan for and respond to pandemic threats using established response frameworks, medical countermeasure stockpiling strategies, risk communication principles, and lessons learned from past pandemics.
125 lines