Explorez des skills pour le développement, le contenu, les données et la productivité. Comparez les descriptions et dépôts.
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
Code organization patterns for PolicyEngine - variable naming conventions, folder structure, file organization
Testing patterns for PolicyEngine data generation pipelines (policyengine-us-data, policyengine-uk-data)
L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration
Common analysis patterns for PolicyEngine research repositories (CRFB, newsletters, dashboards, impact studies)
PolicyEngine parameter patterns - YAML structure, naming conventions, metadata requirements, federal/state separation
ML 모델 벤치마크 및 평가 실행. "벤치마크", "모델 평가", "성능 테스트", "inference 속도" 요청 시 활성화됩니다.
사용자의 개발 프로필 정보를 관리합니다. 사용자의 기술 스택, 선호도, 경험 수준에 대한 질문이 필요할 때 자동으로 활성화되며, ~/.agents/WHOAMI.md 파일에서 정보를 읽습니다. 파일이 없으면 대화형으로 프로필을 생성합...
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.