policyengine-simulation-mechanics
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
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Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
PolicyEngine code review patterns - validation checklist, common issues, review standards
PolicyEngine vectorization patterns - NumPy operations, where/select usage, avoiding scalar logic with arrays
Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata
Using PolicyEngine programmatically via Python client or REST API
PolicyEngine testing patterns - YAML test structure, naming conventions, period handling, and quality standards
PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research
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...
PolicyEngine React web application - the user interface at policyengine.org
PolicyEngine period handling - converting between YEAR, MONTH definition periods and testing patterns
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
PolicyEngine writing style for blog posts, documentation, PR descriptions, and research reports - emphasizing active voice, quantitative precision, and neutral tone
UK survey data enhancement - FRS with WAS imputation patterns
PolicyEngine API - Flask REST service powering policyengine.org and programmatic access
PolicyEngine variable patterns - variable creation, no hard-coding principle, federal/state separation, metadata standards
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...
Using PolicyEngine web apps to analyze tax and benefit policy impacts - for users of policyengine.org
Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations
PolicyEngine code writing style guide - formula optimization, direct returns, eliminating unnecessary variables
PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows
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...
ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values
PolicyEngine Core simulation engine - the foundation powering all PolicyEngine calculations
PolicyEngine coding standards, formatters, CI requirements, and development best practices
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。