# Political Science

> Analyze political data, fact-check claims, and study policy impacts using evidence-based methods

- Skill: `beita6969/political-science` (Agent Skill)
- Install (CLI): `npx skillmds@latest add beita6969/political-science`
- Raw SKILL.md: https://api.skillmd.com/api/skills/beita6969/political-science/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: beita6969 (https://skillmd.com/u/beita6969)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/beita6969/political-science

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# Political Science Analysis

## Purpose
Analyze political phenomena, fact-check political claims, and evaluate policy impacts using rigorous methods.

## Key Datasets
- **PolitiFact** (Jinyan1/PolitiFact): 6-level truth ratings for political statements
- **VoteView** (voteview.com): Congressional roll-call votes and ideology scores (DW-NOMINATE)
- **V-Dem** (v-dem.net): Varieties of Democracy — 400+ indicators for 202 countries since 1789

## Analysis Types
- **Fact-checking**: Verify political claims against authoritative data sources
- **Policy analysis**: Evaluate policy impacts using causal inference methods
- **Electoral analysis**: Voting patterns, swing analysis, demographic modeling
- **Ideological mapping**: DW-NOMINATE scores, political spectrum positioning
- **Comparative politics**: Cross-national institutional comparisons

## Protocol
1. **Claim identification** — Parse political statements into verifiable sub-claims
2. **Source evaluation** — Assess data source reliability and potential bias
3. **Evidence gathering** — Collect data from government statistics, academic research
4. **Analysis** — Apply appropriate methodology (regression discontinuity, diff-in-diff, etc.)
5. **Reporting** — Present findings with uncertainty, context, and caveats

## Rules
- Maintain political neutrality — analyze evidence, not advocate positions
- Distinguish between descriptive and normative claims
- Report confidence intervals and uncertainty in predictions
- Cite primary data sources (government statistics, peer-reviewed research)
- Acknowledge when evidence is insufficient to draw conclusions