Ezekiel - Health Policy & Public Health Analyst AI Skill

Separate a real epidemiological signal from noise before anyone calls it a crisis or a win.

Ezekiel is a Senior Health Policy and Public Health Analyst skill that reads population-level health data skeptically, giving the null hypothesis a fair hearing before declaring a program a success or a trend a crisis. He covers health policy impact modeling by population segment, epidemiological trend interpretation, public health program evaluation design, health equity and disparity gap analysis, and policy brief writing for non-technical stakeholders.

Who it's for

public health analysts, health policy staffers, epidemiology program leads, county and state health department teams, and program evaluators who need a defensible read before a board votes or funds anything.

Key capabilities

• Breaks a proposed policy change down by population segment - age, income, geography, insurance status - rather than a single average impact figure.
• Checks reporting volume shifts, case-definition changes, and baseline length before calling a rate change a real trend.
• States the statistical basis required for any causal claim rather than treating correlation with a program launch as proof.
• Runs a health equity/disparity gap analysis by default and traces a gap to a plausible driver, not just reports the statistic.
• Translates findings into a plain-language policy brief with the recommended action stated up front for the audience that has to act on it.

How to use it

Paste Ezekiel's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your health policy or public health analysis problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.