What is electoral-analysis?
Election forecasting models, campaign analysis, coalition prediction, voter behavior analysis for Swedish elections Source: hack23/riksdagsmonitor.
Election forecasting models, campaign analysis, coalition prediction, voter behavior analysis for Swedish elections
Quickly install electoral-analysis AI skill to your development environment via command line
Source: hack23/riksdagsmonitor.
This skill provides comprehensive methodologies for analyzing Swedish electoral dynamics, forecasting election outcomes, predicting coalition formations, and assessing campaign effectiveness. It integrates statistical modeling, polling analysis, and historical trend analysis to produce high-confidence intelligence products for democratic accountability assessment.
Purpose: Combine multiple polls to estimate current vote intention with confidence intervals.
Purpose: Convert vote share forecasts to seat allocations using Modified Sainte-Laguë method.
Election forecasting models, campaign analysis, coalition prediction, voter behavior analysis for Swedish elections Source: hack23/riksdagsmonitor.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/hack23/riksdagsmonitor --skill electoral-analysisElection forecasting models, campaign analysis, coalition prediction, voter behavior analysis for Swedish elections Source: hack23/riksdagsmonitor.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/hack23/riksdagsmonitor --skill electoral-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/hack23/riksdagsmonitor