mksc-theory-development
Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic) model or a structural econometric model with a clear identification argument. Develops the model and mechanism; it does not run the estimation (mksc-data-analysis) or pick the empirical genre at a high level (mksc-methods).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mksc-theory-development --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Model & Mechanism Development (mksc-theory-development) ## When to trigger - The phenomenon is interesting but there is no formal model yet - The "mechanism" is verbal and needs to be written as primitives, payoffs, and equilibrium - A structural story lacks an identification argument (what variation pins down each parameter) - An analytical model lacks crisp comparative statics or testable predictions ## In Marketing Science, "theory" means a model Unlike behavior-first venues where theory is a verbal mechanism, here a contribution is carried by a **mathematical model**. Build whichever genre the question demands. ### Analytical (game-theoretic) models - State **primitives**: players (firms, consumers, platform), action spaces, information structure, timing, and payoffs. - Solve for **equilibrium** (Nash/subgame-perfect/Bayesian) and prove existence/uniqueness where needed. - Derive **comparative statics** — sign how equilibrium prices, advertising, or profits move with a parameter — and surface the counterintuitive result that is the contribution. - Keep assumptions transparent and motivated by marketing institutions (double marginalization, competitive response, targeting). ##
- When to trigger
- In Marketing Science, "theory" means a model
- Analytical (game-theoretic) models
- Structural econometric models
- Connecting reduced-form or behavioral evidence
- Checklist
- Anti-patterns
- Theory pass for Marketing Science
- Output format
What does the mksc-theory-development skill do?
Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic) model or a structural econometric model with a clear identification argument. Develops the model and mechanism; it does not run the estimation (mksc-data-analysis) or pick the empirical genre at a high level (mksc-methods).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mksc-theory-development --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.