mksc-skills

Plugin mksc-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• mksc-contribution-framing

  Use when stating the headline contribution of a Marketing Science manuscript — naming the primary dimension (substantive marketing insight, modeling, methodology, data, or practice) and writing the contribution and managerial-implication paragraphs. Frames the contribution; it does not build the mod

• mksc-data-analysis

  Use when estimating and validating the model for a Marketing Science manuscript — running structural estimation (GMM/MLE/SMM/Bayes), checking identification empirically, assessing model fit, computing counterfactuals, and preparing the replication package. Executes the analysis; it does not design t

• mksc-literature-positioning

  Use when positioning a Marketing Science manuscript in its literature — locating the contribution among structural and analytical modeling precedents and the relevant substantive stream (pricing, advertising/digital, channels/retail, branding, platforms, analytics), and disclosing self-overlap. Posi

• mksc-methods

  Use when the empirical/analytical approach is the bottleneck for a Marketing Science manuscript — choosing among structural econometrics, analytical modeling, and model-disciplined causal/ML methods, and making the model estimable and identified. Designs the approach; it does not execute the estimat

• mksc-rebuttal

  Use when drafting the revision and response letter after a Marketing Science revise-and-resubmit — structuring point-by-point responses to the Senior/Associate Editor and reviewers across a multi-round process, especially on assumptions, identification, counterfactuals, computation, and replication.

• mksc-review-process

  Use when understanding how Marketing Science evaluates a manuscript — the double-anonymous Senior-Editor / Associate-Editor routing, what the first-pass and review look for, and how to read a decision letter. Explains the process; it does not draft the revision response (mksc-rebuttal).

• mksc-submission

  Use when preparing to submit a Marketing Science manuscript through ScholarOne — blinding for double-anonymous review, choosing the track (regular / Frontiers / Database / Practice), assembling the replication package, the cover letter, preferred AEs/reviewers, and the optional Open Option. Prefligh

• mksc-tables-figures

  Use when building the exhibits for a Marketing Science manuscript — estimate tables, model-fit tables, comparative-statics figures, and counterfactual/policy-simulation exhibits in INFORMS house style. Designs the exhibits; it does not run the estimation (mksc-data-analysis) or write the prose (mksc

• 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-analysi

• mksc-topic-selection

  Use when choosing or sharpening the research question for a Marketing Science manuscript — testing whether a marketing problem is important AND admits a formal model (structural or analytical), and whether Marketing Science (not JCR/JMR/Management Science) is the right venue.

• mksc-workflow

  Use when deciding which mksc-* sub-skill to invoke next, or when sequencing a Marketing Science manuscript from modeling-driven topic selection through R&R rebuttal. Routes — it does not replace — the specialized skills.

• mksc-writing-style

  Use when polishing the prose of a Marketing Science manuscript — front-loading model intuition before notation, managing the formal apparatus for readability, and following INFORMS author-year style and formatting. Late-stage polish; do not invoke while the model or identification is still unsettled

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