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PolicyEngine AI Skills

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

Author statistics

Indexed skills

29

Repository stars across indexed skills

145

Repository forks

29

Average repository stars per indexed skill

5

Repository stars may repeat across skills from the same repository.

29 skills

Browse skills

GitHub

microcalibrate

PolicyEngine

Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata

GitHub

policyengine-design

PolicyEngine

PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research

GitHub

policyengine-district-analysis

PolicyEngine

Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a specific district (NY-17, CA-52), a representative's name, or asks about geographic policy impa...

GitHub

policyengine-writing

PolicyEngine

PolicyEngine writing style for blog posts, documentation, PR descriptions, and research reports - emphasizing active voice, quantitative precision, and neutral tone

GitHub

policyengine-us

PolicyEngine

PolicyEngine-US federal and state tax/benefit rules - variables, parameters, household situations. For national/state microsimulation see policyengine-microsimulation; for district-level see policyengine-distri...

GitHub

microdf

PolicyEngine

Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations

GitHub

policyengine-uk

PolicyEngine

PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows

GitHub

policyengine-microsimulation

PolicyEngine

ALWAYS USE THIS SKILL for PolicyEngine microsimulation, population-level analysis, winners/losers calculations. Triggers: "microsimulation", "share who would lose/gain", "policy impact", "national average", wei...

GitHub

microimpute

PolicyEngine

ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values

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.