Which programming language is primarily used?

The skill focuses on Python-based workflows, leveraging the policyengine-us (or uk/ca) libraries along with Pandas, NumPy, and Plotly.

Does it support building interactive apps?

Absolutely. The skill provides specific templates for Streamlit, allowing analysts to quickly build web-based policy calculators and interactive impact dashboards.

Can this skill help with data visualization?

Yes, it includes pre-configured patterns for Plotly charts, specifically optimized for policy research, including income impact lines, state comparisons, and budget waterfall charts.

What is the PolicyEngine Analysis skill?

It is a specialized Claude Code capability that provides patterns and best practices for creating policy impact analyses, research reports, and interactive dashboards using the PolicyEngine microsimulation framework.

How does it handle different tax years?

It implements best practices to prevent year-mixing pitfalls by defining constant simulation years, ensuring all calculations remain consistent across a specific analysis.

PolicyEngine Impact Analysis

Name: PolicyEngine Impact Analysis
Author: PolicyEngine

byPolicyEngine

•

数据科学与机器学习

Generates policy impact simulations, distributional analyses, and interactive dashboards using the PolicyEngine framework.

The PolicyEngine Analysis skill provides standardized patterns and implementation templates for conducting comprehensive fiscal research. It enables analysts to model complex tax and benefit reforms, create household-level case studies, and generate population-wide distributional impact assessments. By integrating with tools like Streamlit and Plotly, it streamlines the creation of interactive policy dashboards and publication-ready visualizations, ensuring consistency and accuracy across PolicyEngine research repositories, newsletters, and policy briefs.

主要功能

01Themed Plotly visualizations using PolicyEngine brand guidelines

02Automated distributional impact analysis across income deciles

03Streamlit dashboard templates for interactive policy modeling

04Representative household-level case study generation

052 GitHub stars

06Standardized patterns for defining tax and benefit reform parameters

使用场景

01Generating data-driven research content for newsletters and policy briefs

02Conducting distributional impact reports for legislative tax proposals

03Building interactive state-by-state policy comparison dashboards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add policyengine/policyengine-claude analysis

For use in Claude.ai and ChatGPT

主要功能

01Themed Plotly visualizations using PolicyEngine brand guidelines

02Automated distributional impact analysis across income deciles

03Streamlit dashboard templates for interactive policy modeling

04Representative household-level case study generation

052 GitHub stars

06Standardized patterns for defining tax and benefit reform parameters

使用场景

01Generating data-driven research content for newsletters and policy briefs

02Conducting distributional impact reports for legislative tax proposals

03Building interactive state-by-state policy comparison dashboards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add policyengine/policyengine-claude analysis

For use in Claude.ai and ChatGPT