political-scientist-analyst

rysweet/amplihack · updated Apr 8, 2026

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$npx skills add https://github.com/rysweet/amplihack --skill political-scientist-analyst
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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.

skill.md

Political Scientist Analyst Skill

Purpose

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.

When to Use This Skill

  • International Relations Analysis: Wars, alliances, treaties, international crises, great power competition
  • Regime Analysis: Democratization, democratic backsliding, authoritarian resilience, transitions
  • Electoral Analysis: Election outcomes, voting behavior, party systems, electoral institutions
  • Policy Analysis: Domestic and foreign policy decisions, policy implementation, policy outcomes
  • Institutional Analysis: Constitutional design, institutional reform, checks and balances, governance
  • Conflict Analysis: Interstate and intrastate conflicts, civil wars, ethnic conflicts, peace processes
  • International Organization Analysis: UN, NATO, EU, WTO effectiveness and dynamics

Core Philosophy: Political Analysis

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.


Theoretical Foundations (Expandable)

Framework 1: Realism and Structural Realism

Core Principles:

  • States are primary actors in international politics
  • International system is anarchic (no overarching authority)
  • States pursue power and security to ensure survival
  • Self-help system where states must rely on themselves
  • Balance of power is key stabilizing mechanism
  • Security and material power drive state behavior

Classical Realism (Morgenthau):

  • Human nature (desire for power) drives politics
  • National interest defined in terms of power
  • Moral principles cannot determine state action
  • Balance of power prevents hegemony

Structural Realism/Neorealism (Waltz):

  • System structure (anarchy, distribution of power) determines outcomes
  • States are functionally similar (all seek survival)
  • Bipolarity more stable than multipolarity
  • Structure shapes, not determines, behavior

Key Insights:

  • "Realism continues to emphasize the centrality of power and security in an anarchic international system, offering insights into state-centric responses to threats and the resurgence of geopolitical rivalries" (2025)
  • Security dilemmas: Actions to increase security can decrease others' security
  • Relative gains matter more than absolute gains
  • Cooperation is difficult but not impossible

Founding Thinker: Hans Morgenthau (1904-1980)

  • Key Work: Politics Among Nations (1948)
  • Core concept: "Interest defined in terms of power"
  • Contributions: Realist theory, national interest, balance of power

Structural Realist: Kenneth Waltz (1924-2013)

  • Key Work: Theory of International Politics (1979)
  • Innovation: System-level (structural) theory
  • Focus: Anarchy and distribution of capabilities shape outcomes

When to Apply:

  • Interstate conflicts and wars
  • Great power competition (e.g., US-China)
  • Alliance formation and balance of power
  • Security dilemmas
  • Arms races
  • Territorial disputes

Sources:

Framework 2: Liberalism and Neoliberal Institutionalism

Core Principles:

  • Economic interdependence reduces conflict
  • International institutions facilitate cooperation
  • Domestic factors (regime type, interest groups, public opinion) matter
  • Democratic peace: democracies rarely fight each other
  • Complex interdependence characterizes modern IR
  • Absolute gains matter (not just relative gains)
  • Cooperation possible even in anarchy

Key Insights:

  • "Highlights the potential for collective action and rule-based order"
  • Institutions provide information, reduce transaction costs, facilitate monitoring
  • Trade creates interdependence and shared interests
  • Democracy and liberalism promote peace
  • Non-state actors (NGOs, MNCs) play important roles

Key Thinker: Robert Keohane

  • Key Work: International Institutions and State Power (1989)
  • Innovation: Shows cooperation possible through institutions even in anarchy
  • With Joseph Nye: "Complex interdependence" concept
  • Uses game theory to demonstrate cooperation serves self-interest

When to Apply:

  • International organizations (UN, WTO, IMF)
  • Trade agreements and economic integration
  • European integration
  • Global governance
  • Multilateral cooperation on climate, health, etc.
  • Democratic transitions and consolidation

Sources:

Framework 3: Constructivism

Core Principles:

  • Ideas, norms, and identities shape politics
  • Reality is socially constructed through shared understandings
  • State interests are not fixed but malleable
  • Discourse and communication matter
  • Culture and social factors shape politics
  • Change possible through ideational shifts
  • Norms evolve and diffuse

Key Insights:

  • "Emphasizing the role of ideas, norms, and identities, provides a dynamic perspective on how global challenges reshape state interests and international norms"
  • Explains norm diffusion (human rights, sovereignty norms, environmental norms)
  • Identity politics and nationalism
  • How ideas become institutionalized
  • Socialization and norm entrepreneurs

When to Apply:

  • Understanding norm diffusion (e.g., human rights, R2P)
  • Identity conflicts and nationalism
  • Evaluating impact of rhetoric and discourse
  • Explaining changes in state preferences
  • Transnational advocacy networks
  • Cultural and civilizational factors

Sources:

Framework 4: Comparative Politics and Institutions

Overview: "Field characterized by the use of the comparative method or other empirical methods to explore politics both within and between countries"

Key Questions:

  • Why do some countries democratize while others remain authoritarian?
  • How do electoral systems affect party systems?
  • What explains variation in economic development?
  • How do institutions shape policy outcomes?
  • What causes civil wars and ethnic conflicts?

Five Main Approaches:

  1. Institutional Analysis: How institutions shape outcomes
  2. Interest Approach: Role of interest groups and collective action
  3. Ideas Approach: Impact of ideology and beliefs
  4. Individual Approach: Micro-level political behavior
  5. International Environment: Global factors shaping domestic politics

Institutional Focus:

  • Definition: "The set of formal rules and laws (including constitutions) as well as the informal rules, norms, mores, and etiquette"
  • Types: Presidential vs. parliamentary, electoral systems, federal vs. unitary, strong vs. weak legislatures
  • Effects: Institutions structure competition, shape policy, distribute power

Democracy vs. Authoritarianism:

  • Democracy: Free elections, civil liberties, rule of law, accountability
  • Authoritarianism: Limited competition, restricted liberties, concentrated power
  • Hybrid Regimes: "Authoritarian regimes increasingly attempting to use 'democratic' institutions to prolong their rule"
  • Contemporary Trend: "Concurrent resurgence of authoritarianism" with "sophisticated techniques such as surveillance technology and media manipulation"

When to Apply:

  • Comparing political systems
  • Analyzing regime transitions
  • Evaluating institutional reforms
  • Understanding electoral outcomes
  • Explaining policy variation
  • Assessing governance quality

Sources:


Core Analytical Frameworks (Expandable)

Framework 1: Levels of Analysis

Purpose: Organize analysis by distinguishing different analytical levels

Four Levels:

  1. Individual Level

    • Focus: Leaders, decision-makers, individuals
    • Factors: Personality, beliefs, psychology, cognitive biases
    • Example: How did leader's beliefs shape foreign policy?
  2. Domestic/State Level

    • Focus: Regime type, institutions, domestic politics, interest groups, public opinion
    • Factors: Democratic vs. authoritarian, electoral systems, coalitions, bureaucracies
    • Example: How do domestic politics constrain foreign policy?
  3. Interstate Level

    • Focus: Relations between states, alliances, rivalries, diplomacy
    • Factors: Bilateral relationships, regional dynamics, alliance structures
    • Example: How do alliance commitments shape behavior?
  4. Systemic Level

    • Focus: Structure of international system
    • Factors: Distribution of power (unipolar, bipolar, multipolar), international norms, global institutions
    • Example: How does polarity affect stability?

Analytical Value:

  • Clarifies what is being explained and at what level
  • Reveals different causal mechanisms
  • Avoids conflating levels (e.g., system-level outcomes vs. state-level decisions)

Framework 2: Power Analysis

Types of Power:

  1. Hard Power

    • Military capabilities (force or threat of force)
    • Economic coercion (sanctions, aid conditionality)
    • Tangible resources
  2. Soft Power

    • Attraction and persuasion
    • Cultural influence
    • Legitimacy and moral authority
    • Agenda-setting
  3. Structural Power

    • Shape rules and institutions
    • Define what is normal or acceptable
    • Control over frameworks of interaction

Power Distribution:

  • Unipolar: One dominant power (e.g., US post-Cold War)
  • Bipolar: Two great powers (e.g., US-USSR Cold War)
  • Multipolar: Multiple great powers (e.g., pre-WWI Europe)
  • Implications: Different distributions create different dynamics (stability, conflict likelihood)

Power Resources vs. Power Outcomes:

  • Resources don't automatically translate to outcomes
  • Context matters: asymmetric interdependence, resolve, strategy
  • Power is relational, not absolute

Framework 3: Strategic Interaction and Game Theory

Purpose: Analyze situations where outcomes depend on multiple actors' choices

Key Concepts:

  • Players: Actors making strategic choices
  • Strategies: Available actions
  • Payoffs: Outcomes for each combination of strategies
  • Equilibrium: Stable outcome where no player wants to unilaterally change strategy

Classic Games in Politics:

  1. Prisoner's Dilemma

    • Structure: Individual rationality leads to collectively suboptimal outcome
    • Politics: Arms races, trade wars, free-riding in alliances
    • Solution: Iteration, communication, institutions
  2. Chicken/Brinkmanship

    • Structure: Mutually destructive outcome if both choose aggressive strategy
    • Politics: Nuclear crises, territorial standoffs
    • Dynamics: Commitment, credibility, signaling
  3. Stag Hunt/Coordination

    • Structure: Multiple equilibria, need to coordinate
    • Politics: Institution-building, norm formation
    • Challenge: Reaching Pareto-superior equilibrium

Applications:

  • Interstate bargaining
  • Alliance formation
  • Crisis behavior
  • Legislative politics
  • Coalition formation

Framework 4: Process Tracing

Definition: "Research method for studying how causal processes work using case study methods"

Purpose: "Uncovering the process by which events unfolded"

Approach:

  • Trace causal mechanisms step-by-step
  • Identify observable implications of hypothesized causes
  • Test whether evidence matches predictions
  • Rule out alternative explanations

Strength: Understanding HOW and WHY, not just THAT

Applications:

  • Explaining specific historical events
  • Testing causal theories
  • Understanding decision-making processes
  • Tracing diffusion of norms or policies

Sources:

Framework 5: Comparative Method

Purpose: Systematic comparison to identify causal relationships

Designs:

  1. Most Similar Systems Design

    • Compare similar cases that differ in outcome
    • Control for many factors, isolate key difference
    • Example: Why did democracy consolidate in Country A but not B (similar contexts)?
  2. Most Different Systems Design

    • Compare dissimilar cases with same outcome
    • If same outcome despite different contexts, identify common cause
    • Example: Successful democratization in very different countries—what's common?
  3. Within-Case Comparison

    • Compare across time periods or regions within a case
    • Before/after institutional change
    • Regional variation within country

Strengths:

  • Identify necessary and sufficient conditions
  • Test rival hypotheses
  • Establish causal relationships

Limitations:

  • Small-N problem
  • Selection bias
  • Omitted variables

Source: Comparative Politics - Wikipedia


Methodological Approaches (Expandable)

Method 1: Case Study Method

Definition: "Focused, in-depth account of a single individual, group, organization, action, or event"

Types:

  • Descriptive: Rich description of a case
  • Explanatory: Explain why outcome occurred
  • Exploratory: Generate hypotheses for further testing
  • Critical: Test or challenge existing theory

Case Selection:

  • Typical cases: Representative of larger population
  • Deviant cases: Outliers that don't fit theory
  • Critical cases: "If theory doesn't work here, it won't work anywhere"
  • Influential cases: Had significant impact

Strengths:

  • Deep contextual understanding
  • Uncover causal mechanisms
  • Theory development
  • Complex phenomena

Limitations:

  • Generalizability concerns
  • Selection bias risk
  • Difficulty isolating causes

Sources:

Method 2: Large-N Quantitative Analysis

Purpose: Statistical analysis of many observations

Approaches:

  • Cross-sectional regression
  • Time-series analysis
  • Panel data (cross-section + time-series)
  • Event history analysis

Strengths:

  • Generalizability
  • Control for confounds
  • Test probabilistic relationships
  • Identify patterns

Limitations:

  • Measurement challenges
  • Causal identification
  • Missing mechanisms
  • Context loss

Applications:

  • Democratic survival
  • Civil war onset
  • Trade and conflict
  • Electoral outcomes

Method 3: Mixed Methods

Definition: "Utilizing both qualitative and quantitative methods"

Rationale:

  • Quantitative breadth + qualitative depth
  • Triangulation increases confidence
  • Test mechanisms identified quantitatively
  • Generalize findings from qualitative research

Designs:

  • Sequential: Quant then qual (or reverse)
  • Concurrent: Both simultaneously
  • Nested: Small-N cases within large-N analysis

Source: Research Methods for Political Science - Routledge

Method 4: Experiments and Natural Experiments

Field Experiments:

  • Randomize treatment in real-world settings
  • Causal identification through randomization
  • Ethical and practical constraints

Natural Experiments:

  • Exploit quasi-random variation
  • As-if random assignment
  • Examples: Arbitrary borders, close elections, policy discontinuities

Strengths: Credible causal inference

Limitations: External validity, generalizability

Method 5: Formal Modeling

Purpose: Mathematically derive implications of assumptions

Approaches:

  • Game theory models
  • Spatial models (e.g., median voter theorem)
  • Principal-agent models
  • Bargaining models

Value:

how to use political-scientist-analyst

How to use political-scientist-analyst on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add political-scientist-analyst
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/rysweet/amplihack --skill political-scientist-analyst

The skills CLI fetches political-scientist-analyst from GitHub repository rysweet/amplihack and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/political-scientist-analyst

Reload or restart Cursor to activate political-scientist-analyst. Access the skill through slash commands (e.g., /political-scientist-analyst) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.735 reviews
  • Emma Martinez· Dec 20, 2024

    Registry listing for political-scientist-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Dec 8, 2024

    Keeps context tight: political-scientist-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kwame Liu· Dec 8, 2024

    Keeps context tight: political-scientist-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Nov 27, 2024

    political-scientist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Michael Tandon· Nov 27, 2024

    political-scientist-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Nikhil Gill· Nov 11, 2024

    Useful defaults in political-scientist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Emma Huang· Nov 11, 2024

    political-scientist-analyst fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 7, 2024

    I recommend political-scientist-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Oct 26, 2024

    Useful defaults in political-scientist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Oct 18, 2024

    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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