economist-analyst

rysweet/amplihack · updated May 12, 2026

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$npx skills add https://github.com/rysweet/amplihack --skill economist-analyst
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Analyze events through the disciplinary lens of economics, applying established economic frameworks (supply/demand analysis, game theory, general equilibrium), multiple schools of thought (Classical, Keynesian, Austrian, Behavioral), and rigorous methodological approaches to understand market dynamics, incentive structures, resource allocation efficiency, and policy implications.

skill.md

Economist Analyst Skill

Purpose

Analyze events through the disciplinary lens of economics, applying established economic frameworks (supply/demand analysis, game theory, general equilibrium), multiple schools of thought (Classical, Keynesian, Austrian, Behavioral), and rigorous methodological approaches to understand market dynamics, incentive structures, resource allocation efficiency, and policy implications.

When to Use This Skill

  • Economic Policy Analysis: Evaluate fiscal policy, monetary policy, regulatory changes
  • Market Event Analysis: Assess supply shocks, demand shifts, price movements, market structure changes
  • Financial Crisis Analysis: Understand systemic risks, contagion effects, market failures
  • Business Decision Analysis: Evaluate mergers, pricing strategies, market entry/exit
  • Distributional Impact Analysis: Assess who gains/loses from economic events
  • Resource Allocation Questions: Analyze efficiency, opportunity costs, trade-offs
  • Institutional Change Analysis: Evaluate impacts of new rules, organizations, governance structures

Core Philosophy: Economic Thinking

Economic analysis rests on several fundamental principles:

Incentives Matter: People respond to incentives in predictable ways. Understanding incentive structures reveals likely behavioral responses and outcomes.

Opportunity Cost: Every choice involves trade-offs. The true cost of any action is the value of the next-best alternative foregone.

Marginal Analysis: Decisions are made at the margin. Small changes in costs or benefits can shift behavior and outcomes significantly.

Markets Coordinate: Through price signals, markets coordinate the independent decisions of millions of actors, often efficiently allocating resources.

Information Matters: Information asymmetries, signaling, and market transparency profoundly affect economic outcomes.

Multiple Time Horizons: Economic effects unfold over different timeframes. Short-term impacts may differ dramatically from long-term equilibrium effects.

Unintended Consequences: Economic interventions often produce unexpected results due to complex feedback loops and strategic responses.


Theoretical Foundations (Expandable)

School 1: Classical Economics (18th-19th Century)

Core Principles:

  • Free markets tend toward self-regulation through the "invisible hand"
  • Division of labor and specialization increase productivity
  • Supply and demand determine prices and quantities
  • Markets naturally tend toward equilibrium
  • Government intervention generally reduces efficiency

Key Insights:

  • Individuals pursuing self-interest can generate socially beneficial outcomes
  • Competition drives efficiency and innovation
  • Price mechanisms transmit information and coordinate behavior
  • Trade creates mutual gains

Founding Thinker: Adam Smith (1723-1790)

  • Work: The Wealth of Nations (1776)
  • Contributions: Invisible hand mechanism, division of labor, market self-regulation

When to Apply:

  • Analyzing long-run market equilibria
  • Evaluating effects of market liberalization
  • Understanding competitive dynamics
  • Assessing trade and specialization benefits

Sources:

School 2: Keynesian Economics (1930s-Present)

Core Principles:

  • Aggregate demand determines economic activity, not just supply
  • Markets can fail to clear, leading to prolonged unemployment
  • Price and wage rigidities prevent instant adjustment
  • Government intervention can stabilize economic fluctuations
  • Countercyclical fiscal policy appropriate during recessions

Key Insights:

  • Economies can get stuck at sub-optimal equilibria
  • Demand management matters for short-run economic performance
  • Animal spirits and expectations affect investment and consumption
  • Multiplier effects amplify fiscal policy impacts

Founding Thinker: John Maynard Keynes (1883-1946)

  • Work: The General Theory of Employment, Interest, and Money (1936)
  • Contributions: Theory of aggregate demand, involuntary unemployment, case for stabilization policy

When to Apply:

  • Analyzing recessions and economic downturns
  • Evaluating fiscal stimulus or austerity
  • Understanding short-run economic fluctuations
  • Assessing demand-side policies

Modern Relevance: "Theoretical developments of Keynes are extremely relevant in the modern turbulent period of crises and stagnation in the world economy" (2025)

Sources:

School 3: Austrian Economics (Late 19th Century-Present)

Core Principles:

  • Subjective value theory (value is in the eye of the beholder)
  • Entrepreneurial discovery process drives innovation
  • Time preference and capital structure matter
  • Spontaneous order emerges from individual actions
  • Central planning cannot replicate market information processing
  • Emphasis on logic and "thought experiments" over empirical data

Key Insights:

  • Entrepreneurs drive economic change by discovering profit opportunities
  • Government intervention creates unintended consequences
  • Market processes are discovery mechanisms, not just allocation mechanisms
  • Knowledge is dispersed; no central planner can access all relevant information

Key Thinker: Friedrich Hayek (1899-1992)

  • Contributions: Knowledge problem, spontaneous order, critique of central planning
  • Warned against centralized economic planning

Classification: Heterodox (non-mainstream) school

When to Apply:

  • Analyzing entrepreneurship and innovation
  • Evaluating consequences of regulation or intervention
  • Understanding knowledge and information problems
  • Assessing spontaneous vs. planned order

Methodological Note: Some economists criticize Austrian rejection of econometrics and empirical testing

Sources:

School 4: Behavioral Economics (Late 20th Century-Present)

Core Principles:

  • Cognitive biases systematically affect decision-making
  • People have bounded rationality, not perfect rationality
  • Framing effects matter
  • Loss aversion and reference points shape choices
  • Social norms and fairness considerations influence behavior
  • Experimental methods can test economic theories

Key Insights:

  • Actual human behavior deviates predictably from rational choice models
  • "Nudges" can improve decision-making without restricting choice
  • Market anomalies may reflect psychological factors
  • Default options and choice architecture profoundly affect outcomes

Key Thinker: Daniel Kahneman (1934-2024)

  • Nobel Prize 2002
  • Applied experimental psychology to economics
  • Showed psychological factors undermine rational utility maximization assumption

When to Apply:

  • Analyzing consumer behavior and marketing
  • Understanding financial market anomalies
  • Designing choice architectures and policies
  • Evaluating savings, health, and retirement decisions

Sources:

School 5: Monetarism / Chicago School (Mid-20th Century)

Core Principles:

  • Money supply is the key determinant of economic activity
  • Money supply should grow steadily with the economy
  • Monetary policy more effective than fiscal policy
  • Free markets and minimal government intervention
  • Inflation is always and everywhere a monetary phenomenon

Key Insights:

  • Central banks control inflation through money supply management
  • Rules-based monetary policy superior to discretionary policy
  • Long and variable lags make policy timing difficult
  • Market forces generally allocate resources efficiently

Key Thinker: Milton Friedman (1912-2006)

  • Contributions: Monetarism, permanent income hypothesis, case for free markets
  • Influenced monetary policy globally

When to Apply:

  • Analyzing inflation and deflation
  • Evaluating monetary policy decisions
  • Understanding business cycles
  • Assessing central bank actions

Sources:

School 6: Neoclassical Synthesis (Modern Mainstream)

Status: Foundation of contemporary mainstream economics

Core Principles:

  • Rational actors maximize utility subject to constraints
  • Marginal analysis drives decision-making
  • Markets generally reach equilibrium
  • Market failures exist and may justify intervention
  • Incorporates insights from Keynesian and other schools

Key Insights:

  • Microeconomic foundations support macroeconomic analysis
  • Both supply and demand matter
  • Institutions, information, and incentives shape outcomes
  • Empirical evidence should guide theory

When to Apply:

  • Standard economic analysis of most events
  • Combining micro and macro perspectives
  • Empirically-grounded policy evaluation

Source: Evolution of Economic Thought - Medium


Core Analytical Frameworks (Expandable)

Framework 1: Supply and Demand Analysis

Definition: "Economic model of price determination in a market that postulates the unit price will vary until it settles at the market-clearing price, where quantity demanded equals quantity supplied."

Significance: "Forms the theoretical basis of modern economics"

Key Components:

  • Demand Curve: Relationship between price and quantity demanded (typically downward-sloping)
  • Supply Curve: Relationship between price and quantity supplied (typically upward-sloping)
  • Market Equilibrium: Price and quantity where supply equals demand
  • Elasticity: Responsiveness of quantity to price changes
  • Shifts vs. Movements: Distinguish changes in quantity vs. changes in demand/supply

Applications:

  • Analyzing price changes
  • Evaluating market shocks (supply or demand shifts)
  • Understanding shortages and surpluses
  • Predicting market responses to policies (taxes, subsidies, price controls)

Example Analysis:

  • Supply shock (e.g., oil production disruption) → Supply curve shifts left → Higher price, lower quantity
  • Demand shock (e.g., income increase) → Demand curve shifts right → Higher price, higher quantity
  • Price ceiling below equilibrium → Shortage emerges

Sources:

Framework 2: Game Theory and Strategic Interaction

Definition: "Set of models of strategic interactions widely used in economics and social sciences"

Key Concepts:

  • Players: Decision-makers in strategic situation
  • Strategies: Available actions for each player
  • Payoffs: Outcomes depending on all players' strategies
  • Nash Equilibrium: Strategy profile where no player can improve by unilaterally changing strategy
  • Dominant Strategy: Strategy that's best regardless of what others do
  • Prisoner's Dilemma: Situation where individual incentives lead to suboptimal collective outcome

Applications:

  • Oligopoly behavior and pricing
  • Auction design
  • Public goods provision
  • Bargaining and negotiation
  • Regulatory compliance and enforcement
  • International trade negotiations

Example Analysis:

  • Two firms deciding on pricing: Nash equilibrium may involve both charging low prices, even though both would be better off charging high prices (prisoner's dilemma structure)
  • Auction bidding: Bidders must consider others' strategies and information
  • Public goods: Free-rider problem emerges from dominant strategy to not contribute

Source: Game Theory - Core-Econ Microeconomics

Framework 3: General Equilibrium Analysis

Definition: "Attempts to explain the behavior of supply, demand, and prices in a whole economy with several or many interacting markets, seeking to prove that the interaction of demand and supply will result in an overall general equilibrium."

Distinction: Contrasts with partial equilibrium (analyzes one market holding others constant)

Key Insights:

  • Markets are interdependent; changes in one affect others
  • Economy-wide effects can differ from single-market analysis
  • Feedback loops and spillovers matter
  • Distributional effects emerge from market linkages

Applications:

  • Tax incidence analysis (who really bears the burden?)
  • Trade policy evaluation (effects ripple through economy)
  • Large-scale policy assessment
  • Understanding macroeconomic interdependencies

Example Analysis:

  • Carbon tax: Direct effect on fossil fuel markets, but also affects transportation, manufacturing, electricity, consumer goods → General equilibrium captures full effects

Sources:

Framework 4: Market Structure Analysis

Types of Market Structures:

  1. Perfect Competition

    • Many buyers and sellers
    • Homogeneous product
    • Free entry/exit
    • Perfect information
    • Price takers
    • Result: P = MC, efficient allocation
  2. Monopoly

    • Single seller
    • Barriers to entry
    • Price maker
    • Result: P > MC, deadweight loss
  3. Oligopoly

    • Few sellers
    • Strategic interaction matters
    • Potential for collusion
    • Result: Depends on strategic behavior
  4. Monopolistic Competition

    • Many sellers
    • Differentiated products
    • Some price-making power
    • Free entry/exit
    • Result: P > MC, but competitive entry limits profits

Applications:

  • Antitrust analysis
  • Industry structure evaluation
  • Pricing strategy assessment
  • Entry/exit decisions

Analysis Questions:

  • How many firms? How much market power?
  • Are there barriers to entry?
  • How intense is competition?
  • What are efficiency implications?

Framework 5: Market Failures and Externalities

Definition: Situations where markets fail to allocate resources efficiently, requiring potential intervention

Types of Market Failures:

  1. Externalities

    • Negative externality: Cost imposed on third parties (pollution, congestion)
    • Positive externality: Benefit to third parties (education, vaccination)
    • Result: Market overproduces goods with negative externalities, underproduces goods with positive externalities
    • Efficiency loss: Social cost/benefit differs from private cost/benefit
  2. Public Goods

    • Non-excludable (can't prevent use)
    • Non-rivalrous (one person's use doesn't reduce availability)
    • Problem: Free-rider problem → Underprovision
    • Examples: National defense, clean air, lighthouse
  3. Information Asymmetries

    • Adverse selection: Hidden characteristics (used car quality)
    • Moral hazard: Hidden actions (insurance reduces care)
    • Result: Market unraveling or inefficiency
  4. Market Power

    • Monopoly or oligopoly
    • Ability to set prices above marginal cost
    • Result: Deadweight loss, reduced output

Pigouvian Taxation:

  • Purpose: Tax equal to marginal external cost
  • Effect: Internalizes externality, restores efficiency
  • Example: Carbon tax = social cost of carbon
  • Named after: Arthur Pigou (1877-1959)

Coase Theorem:

  • If transaction costs are low and property rights well-defined, private bargaining can solve externalities
  • Implication: Government intervention not always needed
  • Reality: Transaction costs often high, making Pigouvian solutions necessary

Applications:

  • Environmental policy (carbon tax, cap-and-trade)
  • Public goods provision (taxes for defense, infrastructure)
  • Regulation (information disclosure, safety standards)
  • Antitrust policy (prevent market power abuse)

Policy Tools:

  • Pigouvian taxes: Tax externalities
  • Subsidies: Subsidize positive externalities
  • Regulation: Direct control (emissions standards)
  • Cap-and-trade: Market-based quantity control
  • Property rights: Assign and enforce rights (Coase)

Example - Carbon Tax:

  • Negative externality: CO2 emissions cause climate damage
  • Social cost > private cost
  • Pigouvian tax ($50/ton) = estimated social cost of carbon
  • Internalizes externality → Efficient outcome
  • Revenue recycling can address distributional concerns

Framework 6: Microeconomics vs. Macroeconomics

Microeconomics:

  • Focus: Individual markets, firms, consumers
  • Tools: Supply/demand, utility theory, game theory
  • Questions: How do individual actors make decisions? How do markets allocate resources?
  • Assumes: Market clearing, optimization

Macroeconomics:

  • Focus: Aggregate economy-wide variables
  • Variables: GDP, unemployment, inflation, interest rates
  • Tools: Aggregate demand/supply, IS-LM, growth models
  • Questions: What determines economic growth? What causes recessions? How should policy respond?

Integration: Modern economics seeks microfoundations for macroeconomic phenomena

Source: Micro and Macro - IMF


Methodological Approaches (Expandable)

Method 1: Econometric Analysis

Definition: "Application of statistical methods to economic data to give empirical content to economic relationships. Uses economi

how to use economist-analyst

How to use economist-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 economist-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 economist-analyst

The skills CLI fetches economist-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/economist-analyst

Reload or restart Cursor to activate economist-analyst. Access the skill through slash commands (e.g., /economist-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

4.850 reviews
  • Daniel Kapoor· Dec 28, 2024

    economist-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 24, 2024

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

  • Daniel Robinson· Dec 16, 2024

    We added economist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Alexander Haddad· Nov 19, 2024

    We added economist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Nov 15, 2024

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

  • Nikhil Li· Nov 7, 2024

    economist-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nikhil Thomas· Oct 26, 2024

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

  • Jin Abbas· Oct 10, 2024

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

  • Shikha Mishra· Oct 6, 2024

    economist-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Rahul Santra· Sep 25, 2024

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

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