Analyze market structures across perfect competition, monopolistic competition, oligopoly, and monopoly to predict firm behavior and market outcomes. Use this skill when the user needs to classify a market's competitive structure, predict pricing behavior, evaluate antitrust implications, or understand why an industry behaves the way it does — even if they say 'why can they charge so much', 'is this market competitive', or 'will prices come down'.
npx skills add https://github.com/asgard-ai-platform/skills --skill econ-market-structure
Market structure determines how firms compete, set prices, and earn profits. The four structures — perfect competition, monopolistic competition, oligopoly, monopoly — predict increasingly different behaviors as concentration rises and differentiation increases.
IRON LAW: Structure Determines Behavior, Not Vice Versa
Classify the market structure FIRST based on structural characteristics
(number of firms, barriers, differentiation), THEN predict behavior.
"This company charges high prices" does not mean it's a monopoly —
high prices can occur in oligopolies and even monopolistic competition.
| Feature | Perfect Competition | Monopolistic Competition | Oligopoly | Monopoly |
|---------|-------------------|------------------------|-----------|----------|
| Firms | Very many | Many | Few | One |
| Product | Homogeneous | Differentiated | Homogeneous or differentiated | Unique, no close substitutes |
| Entry barriers | None | Low | High | Very high |
| Price power | None (price taker) | Some (limited by substitutes) | Significant (interdependent) | Full (price maker) |
| Long-run profit | Zero (economic) | Zero (economic) | Positive possible | Positive |
| Examples | Agricultural commodities, forex | Restaurants, clothing | Airlines, telecom, auto | Utilities, patents |
Perfect Competition: Price = marginal cost. Firms are price takers. No advertising needed. Long-run economic profit = 0.
Monopolistic Competition: Short-run profits possible through differentiation. Long-run: entry erodes profits to zero. Firms compete on brand, quality, location.
Oligopoly: Firms are interdependent — each watches rivals' moves. Game theory applies. May collude (tacitly or explicitly). Kinked demand curve or Cournot/Bertrand models.
Monopoly: Price > marginal cost. Deadweight loss exists. May be regulated (utilities) or temporary (patents). Natural monopolies occur when average costs decline with scale.
# Market Structure Analysis: {Industry}
## Classification
- Structure: {type}
- Evidence:
- Number of firms: ...
- Product differentiation: ...
- Entry barriers: ...
- Interdependence: ...
## Predicted Behavior
- Pricing: {price-taking / markup / strategic}
- Long-run profit: {zero / positive}
- Competition type: {price / quality / advertising / innovation}
## Policy Implications
{Antitrust concerns, regulation needs, consumer impact}
Scenario: Taiwan's telecom market
references/oligopoly-models.mdA set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
Take asgard-ai-platform/econ-market-structure from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.