GitHub
policyengine-design
PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research
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Content & media AI Skills
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GitHub
policyengine-district-analysis
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...
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GitHub
policyengine-app
PolicyEngine React web application - the user interface at policyengine.org
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GitHub
policyengine-period-patterns
PolicyEngine period handling - converting between YEAR, MONTH definition periods and testing patterns
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GitHub
policyengine-aggregation
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
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GitHub
policyengine-writing
PolicyEngine writing style for blog posts, documentation, PR descriptions, and research reports - emphasizing active voice, quantitative precision, and neutral tone
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GitHub
policyengine-uk-data
UK survey data enhancement - FRS with WAS imputation patterns
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GitHub
policyengine-api
PolicyEngine API - Flask REST service powering policyengine.org and programmatic access
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GitHub
policyengine-variable-patterns
PolicyEngine variable patterns - variable creation, no hard-coding principle, federal/state separation, metadata standards
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GitHub
policyengine-us
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...
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GitHub
policyengine-user-guide
Using PolicyEngine web apps to analyze tax and benefit policy impacts - for users of policyengine.org
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GitHub
microdf
Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations
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GitHub
policyengine-code-style
PolicyEngine code writing style guide - formula optimization, direct returns, eliminating unnecessary variables
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GitHub
policyengine-uk
PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows
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GitHub
policyengine-microsimulation
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...
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GitHub
microimpute
ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values
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GitHub
policyengine-core
PolicyEngine Core simulation engine - the foundation powering all PolicyEngine calculations
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GitHub
policyengine-standards
PolicyEngine coding standards, formatters, CI requirements, and development best practices
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GitHub
policyengine-code-organization
Code organization patterns for PolicyEngine - variable naming conventions, folder structure, file organization
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GitHub
policyengine-data-testing
Testing patterns for PolicyEngine data generation pipelines (policyengine-us-data, policyengine-uk-data)
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GitHub
l0
L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration
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GitHub
policyengine-analysis
Common analysis patterns for PolicyEngine research repositories (CRFB, newsletters, dashboards, impact studies)
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GitHub
policyengine-parameter-patterns
PolicyEngine parameter patterns - YAML structure, naming conventions, metadata requirements, federal/state separation
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GitHub
ml-benchmark
ML 모델 벤치마크 및 평가 실행. "벤치마크", "모델 평가", "성능 테스트", "inference 속도" 요청 시 활성화됩니다.
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