pr-guidelines
Pull request best practices distilled from Graphite and GitHub guides. Use when creating pull requests in conjunction with the graphite-workflow skill to ensure they follow size guidelines, include proper conte...
发现 测试与安全 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Pull request best practices distilled from Graphite and GitHub guides. Use when creating pull requests in conjunction with the graphite-workflow skill to ensure they follow size guidelines, include proper conte...
Use this skill when working with Graphite (gt) for stacked PRs, when the user mentions pull requests, Graphite, stacking, or gt commands. Ensures proper use of gt commands instead of raw git for stack-aware ope...
Start a PR review inline comments fixing session. Use when users want to address, fix, or resolve inline review comments on a GitHub PR. Fetches unresolved comments and helps fix each one systematically.
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...
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。