policyengine-simulation-mechanics
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
Explorez les skills IA publiés de PolicyEngine et consultez leurs instructions source.
Skills indexés
29Étoiles des dépôts des skills indexés
145Forks du dépôt
29Moyenne des étoiles par skill indexé
5Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.