From mksc-skills
Builds formal analytical (game-theoretic) or structural econometric models for Marketing Science manuscripts, turning a marketing phenomenon into a testable model with identification arguments.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mksc-skills:mksc-theory-developmentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- The phenomenon is interesting but there is no formal model yet
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.
If you include experiments, surveys, or reduced-form results, tie them to the model: as model-free evidence motivating an assumption, as a source of identifying variation, or as validation of a mechanism the model formalizes.
Treat this skill as an executable review pass, not a prose hint. First lock the demand/supply mechanism, fit evidence, and counterfactual decision margin; then judge whether the current manuscript answers the venue's real reader: quantitative marketing reviewers who read the model through the managerial counterfactual it makes possible.
claim / evidence / risk / manuscript location rows, so the next agent can edit rather than rediscover the issue.resources/official-source-map.md has been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.【Genre】analytical / structural
【Primitives】players, actions, info, timing, payoffs
【Equilibrium / estimand】concept; existence/uniqueness OR demand+supply
【Identification】variation/instruments → parameters; exogeneity logic
【Predictions / counterfactual】key comparative static OR policy to simulate
【Next step】mksc-literature-positioning then mksc-methods
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin mksc-skillsGuides the choice among structural econometrics, analytical modeling, and causal ML methods for marketing science manuscripts, making models estimable and identified.
Guides building the conceptual core of a JMR manuscript: behavioral hypotheses with tested mechanisms or structural/econometric model primitives and identification. Avoids managerial framing.
Guides development of formal analytical models or testable hypotheses for Management Science (INFORMS) papers. Provides lane-specific instructions for assumptions, proofs, comparative statics, and mechanism derivation.