Analyze events through the disciplinary lens of political science, applying established theoretical frameworks (Realism, Liberalism, Constructivism), comparative political analysis, institutional analysis, and rigorous methodological approaches to understand power dynamics, governance structures, actor interests, strategic interactions, and policy outcomes.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpolitical-scientist-analystExecute the skills CLI command in your project's root directory to begin installation:
Fetches political-scientist-analyst from rysweet/amplihack and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
Restart Cursor to activate political-scientist-analyst. Access via /political-scientist-analyst in your agent's command palette.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Analyze events through the disciplinary lens of political science, applying established theoretical frameworks (Realism, Liberalism, Constructivism), comparative political analysis, institutional analysis, and rigorous methodological approaches to understand power dynamics, governance structures, actor interests, strategic interactions, and policy outcomes.
Political science analysis rests on several fundamental principles:
Power Matters: Politics is fundamentally about power—who has it, how it's distributed, how it's exercised, and how it shapes outcomes.
Institutions Structure Politics: Formal and informal rules shape political behavior, constrain actors, and produce systematic outcomes.
Interests Drive Behavior: Actors (states, leaders, groups) pursue their interests, though those interests may be material, ideational, or socially constructed.
Context Is Critical: Historical, cultural, and structural context profoundly shapes political processes and outcomes.
Multiple Levels of Analysis: Political phenomena operate simultaneously at individual, domestic, interstate, and systemic levels.
Comparative Perspective: Comparing across countries, regions, and time periods reveals patterns and causal relationships.
Causal Mechanisms Matter: Understanding HOW and WHY outcomes occur, not just THAT they occur, is central to political analysis.
Core Principles:
Classical Realism (Morgenthau):
Structural Realism/Neorealism (Waltz):
Key Insights:
Founding Thinker: Hans Morgenthau (1904-1980)
Structural Realist: Kenneth Waltz (1924-2013)
When to Apply:
Sources:
Core Principles:
Key Insights:
Key Thinker: Robert Keohane
When to Apply:
Sources:
Core Principles:
Key Insights:
When to Apply:
Sources:
Overview: "Field characterized by the use of the comparative method or other empirical methods to explore politics both within and between countries"
Key Questions:
Five Main Approaches:
Institutional Focus:
Democracy vs. Authoritarianism:
When to Apply:
Sources:
Purpose: Organize analysis by distinguishing different analytical levels
Four Levels:
Individual Level
Domestic/State Level
Interstate Level
Systemic Level
Analytical Value:
Types of Power:
Hard Power
Soft Power
Structural Power
Power Distribution:
Power Resources vs. Power Outcomes:
Purpose: Analyze situations where outcomes depend on multiple actors' choices
Key Concepts:
Classic Games in Politics:
Prisoner's Dilemma
Chicken/Brinkmanship
Stag Hunt/Coordination
Applications:
Definition: "Research method for studying how causal processes work using case study methods"
Purpose: "Uncovering the process by which events unfolded"
Approach:
Strength: Understanding HOW and WHY, not just THAT
Applications:
Sources:
Purpose: Systematic comparison to identify causal relationships
Designs:
Most Similar Systems Design
Most Different Systems Design
Within-Case Comparison
Strengths:
Limitations:
Source: Comparative Politics - Wikipedia
Definition: "Focused, in-depth account of a single individual, group, organization, action, or event"
Types:
Case Selection:
Strengths:
Limitations:
Sources:
Purpose: Statistical analysis of many observations
Approaches:
Strengths:
Limitations:
Applications:
Definition: "Utilizing both qualitative and quantitative methods"
Rationale:
Designs:
Source: Research Methods for Political Science - Routledge
Field Experiments:
Natural Experiments:
Strengths: Credible causal inference
Limitations: External validity, generalizability
Purpose: Mathematically derive implications of assumptions
Approaches:
Value:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for political-scientist-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: political-scientist-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: political-scientist-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.
political-scientist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
political-scientist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in political-scientist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
political-scientist-analyst fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend political-scientist-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in political-scientist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: political-scientist-analyst is focused, and the summary matches what you get after install.
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