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policyengine-simulation-mechanics
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
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policyengine-review-patterns
PolicyEngine code review patterns - validation checklist, common issues, review standards
GitHub
policyengine-vectorization
PolicyEngine vectorization patterns - NumPy operations, where/select usage, avoiding scalar logic with arrays
GitHub
microcalibrate
Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata
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policyengine-python-client
Using PolicyEngine programmatically via Python client or REST API
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policyengine-testing-patterns
PolicyEngine testing patterns - YAML test structure, naming conventions, period handling, and quality standards
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policyengine-design
PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research
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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...
GitHub
policyengine-app
PolicyEngine React web application - the user interface at policyengine.org
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policyengine-period-patterns
PolicyEngine period handling - converting between YEAR, MONTH definition periods and testing patterns
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policyengine-aggregation
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
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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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policyengine-uk-data
UK survey data enhancement - FRS with WAS imputation patterns
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policyengine-api
PolicyEngine API - Flask REST service powering policyengine.org and programmatic access
GitHub
policyengine-variable-patterns
PolicyEngine variable patterns - variable creation, no hard-coding principle, federal/state separation, metadata standards
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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...
GitHub
policyengine-user-guide
Using PolicyEngine web apps to analyze tax and benefit policy impacts - for users of policyengine.org
GitHub
microdf
Weighted pandas DataFrames for survey microdata analysis - inequality, poverty, and distributional calculations
GitHub
policyengine-code-style
PolicyEngine code writing style guide - formula optimization, direct returns, eliminating unnecessary variables
GitHub
policyengine-uk
PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows
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...
GitHub
microimpute
ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values
GitHub
policyengine-core
PolicyEngine Core simulation engine - the foundation powering all PolicyEngine calculations
GitHub
policyengine-standards
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.