data-science-for-intelligence
Data Science for Intelligence Skill
Purpose
This skill provides comprehensive data science methodologies tailored for political intelligence analysis in the CIA 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
- ✅ Forecasting trends in party support or politician effectiveness
- ✅ Clustering politicians or parties by voting similarity
Do NOT use for:
- ❌ Simple aggregation queries (use SQL views instead)
More from hack23/cia
iso-27001-controls
Verify implementation of ISO 27001:2022 information security controls across CIA platform development and operations
15playwright-ui-testing
Playwright browser automation, visual regression testing, accessibility testing, and E2E workflow validation for CIA platform
15ui-ux-design-system
Design system management, Vaadin component library patterns, consistent UI/UX, accessibility integration
15code-quality-checks
Enforce code quality with SonarCloud, CheckStyle, SpotBugs, and maintain quality gates
14business-model-canvas
Business Model Canvas framework for value proposition, customer segments, revenue streams, and sustainable business model design
14legislative-monitoring
Voting pattern analysis, committee effectiveness, bill tracking, parliamentary oversight for Swedish intelligence operations
13