القائمة
Use when the user invokes $fix-pr or asks Codex to apply fixes to a PolicyEngine PR based on $review-program findings, GitHub review comments, CI failures, or local review reports.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | fix-pr |
| description | Use when the user invokes $fix-pr or asks Codex to apply fixes to a PolicyEngine PR based on $review-program findings, GitHub review comments, CI failures, or local review reports. |
This is the Codex equivalent of the Claude /fix-pr command.
Treat the text after $fix-pr as the command arguments:
$fix-pr [PR_NUMBER_OR_SEARCH] [--local]
Before starting, read workflow.md and subagents.md. Follow them as the source of truth for phases, checkpoints, handoff files, verification, and Codex subagent delegation.
Operational rules:
--local is set.$policyengine-parameter-patterns, $policyengine-variable-patterns, $policyengine-testing-patterns, $policyengine-code-style, $policyengine-code-organization, and $policyengine-period-patterns.Sensitivity registry for PolicyEngine microsim results — maps {program × deviation signature} to the most likely calibration target or imputed variable driving the mismatch. The knowledge base that powers the calibration-diagnostics agent. Load when investigating why a microsim result differs from a prior score, or when reviewing whether a reform classification is calibration-sensitive. Triggers: "why does my reform not match", "policyengine cost off", "calibration mismatch", "imputed variable", "takeup rate", "non-filer", "itemizer share", "small state variance", "ECPS calibration target", "policyengine-us-data target", "calibration dashboard", "diagnose mismatch", "deviation signature".
Structured index of PolicyEngine's previously-published scored reforms. Use this skill to find an anchor for Stage 5 comparison in /analyze-policy, or any time you need a benchmark magnitude for a new policy analysis. Returns a queryable mapping of {reform name → (cost, poverty, distribution, year, methodology)} drawn from policyengine.org/{us,uk,canada}/research and blog.policyengine.org. Triggers: "prior PE score", "PolicyEngine has scored", "what did PE find", "PE benchmark", "anchor reform", "comparable reform", "EITC expansion scored", "CTC expansion scored", "SALT cap analysis", "state CTC analysis", "ARPA reform impact", "American Family Act score".
PolicyEngine API v2 - Next-generation microservices architecture with monorepo structure
ALWAYS LOAD THIS SKILL before setting up any Python environment or installing packages. Defines the standard: uv, Python 3.13, uv pip install, .venv at project root. Triggers: "set up python", "install python", "create a venv", "virtual environment", "pip install", "install packages", "uv pip", "uv venv", "python version", "VIRTUAL_ENV", "venv conflict", "which python", "activate", "deactivate", "run the script", "run with uv", "uv run", "pyproject.toml", "install dependencies", "install requirements", "install the package", "editable install", "pip install -e", "latest package", "latest version", "current version", "newest version".
ALWAYS USE THIS SKILL for PolicyEngine microsimulation, population-level analysis, winners/losers calculations. Triggers: microsimulation, share who would lose/gain, policy impact, national average, weighted analysis, cost, revenue impact, budgetary, estimate the cost, federal revenues, tax revenue, budget score, how much would it cost, how much would the policy cost, total cost of, aggregate impact, cost to the government, revenue loss, fiscal impact, poverty impact, child poverty, deep poverty, poverty rate, poverty reduction, how many people lifted out of poverty, SPM poverty, distributional impact, state tax, state-level, California, New York, UBI, universal basic income, flat tax, standard deduction, winners and losers, winners, losers, inequality, Gini, decile, SALT, marginal tax rate, effective tax rate. NOT for single-household calculations like "what would my benefit be" - use policyengine-us or policyengine-uk for those. Use this skill's code pattern; explore codebase for parameter paths if needed.
ONLY use this skill when users explicitly ask about the PolicyEngine Python package installation, REST API endpoints, API authentication, rate limits, or policyengine.py client library. DO NOT use for household benefit/tax calculations — ALWAYS use policyengine-us or policyengine-uk instead. This skill is about the API/client tooling itself, not about calculating benefits or taxes.