Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when testing whether a marketing question is a fit for the Journal of Marketing Research (JMR) — a methods-/modeling-forward AMA flagship — rather than the managerial Journal of Marketing, the analytical Marketing Science, or the consumer-theory JCR. Locks a question that can clear both JMR's rigor bar and its substantive-contribution bar.
Use when the execution and credibility of the analysis is the bottleneck for a Journal of Management Studies (JMS) manuscript — regression/SEM and robustness for quantitative work, OR coding, abduction, and trustworthiness for qualitative work. Runs and defends the analysis; it does not design the study (jms-methods) or build exhibits (jms-tables-figures).
Use when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey, archival, experiment, multi-method) to the theoretical question, with qualitative rigor treated as first-class. Designs the study; it does not run the estimation or trustworthiness checks (jms-data-analysis).
Use when you need to understand or set expectations for the Journal of Management Studies (JMS) editorial and peer-review process — desk screening, double-blind developmental review, and reading a decision letter. Explains the process and how to read decisions; it does not draft the response letter (jms-rebuttal).
Use when scoping or stress-testing whether a research question fits the Journal of Management Studies (JMS) — a phenomenon-grounded management-theory question, quantitative or qualitative. Decides fit and framing direction; it does not build the theory (jms-theory-development) or position the literature (jms-literature-positioning).
Use when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks, and a behavioral model that identifies the bias parameter, so the contribution is a model that explains behavior, not just an effect. Use when human decisions are the object of study instead of pure analytical modeling; use when reviewers ask where the identifiable behavioral parameter is.
Use when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing algorithm performance, exploring parameter sensitivity, and extracting managerial insight. The study must serve the theory, not replace it. Use after jmsc-proofs and jmsc-algorithm.
Use when formalizing the decision problem before model building for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — identifying the decision maker(s), decision variables, timing / information structure, uncertainty, and the objective, so the problem is well-posed. Use right after fit positioning and before jmsc-model-building; use when you cannot yet say who chooses what under which constraints, or when it is unclear whether the problem is optimization, game, or control.
Use when analyzing and reporting results for a Journal of Applied Psychology (JAP) manuscript using SEM, multilevel (HLM) models, mediation/moderation, or meta-analysis. JAP requires effect sizes with confidence intervals, model-based indirect effects with bootstrap CIs, fit indices, full disclosure, and a clean confirmatory/exploratory split. Guides analysis norms; it does not fabricate results.
Use when designing studies and measurement for a Journal of Applied Psychology (JAP) manuscript so they meet the journal's high bar on construct validity, causal inference, common-method variance, nested/multilevel data, and sample-size justification. Strengthens the design and measurement plan; it does not write code.