Data Science for Intelligence Skill

🔴 AI FIRST Quality Principle

This skill MUST be applied with the AI FIRST principle: never accept first-pass quality. ALL analysis and content MUST go through minimum 2 complete iterations. After first pass, read ALL output back completely and systematically improve every section — strengthen evidence, deepen analysis, add specific citations, broaden perspectives. Spend ALL allocated time on real work. Single-pass output is NEVER acceptable. NO SHORTCUTS.

Purpose

This skill provides comprehensive data science methodologies tailored for political intelligence analysis in the Riksdagsmonitor platform. It covers statistical analysis, machine learning, natural language processing, time series forecasting, and network analysis techniques applied to the 6 intelligence frameworks and 82 database views for democratic accountability assessment.

When to Use This Skill

Apply this skill when:

• ✅ Building predictive models for election outcomes or coalition stability
• ✅ Analyzing temporal patterns in voting behavior or policy positions
• ✅ Detecting anomalies in political behavior (sudden voting shifts, absences)
• ✅ Performing text analysis on parliamentary documents and speeches
• ✅ Constructing influence networks from voting alignment patterns