Claude Skills by brycewang-stanford

Use when drafting or polishing a Journal of Marriage and Family (JMF) manuscript so it reads for an interdisciplinary family-science audience, follows modified APA style, includes the structured abstract (~200-225 words; Objective / Background / Method / Results / Conclusion / Implications), uses bias-free language, and fits the page limit. Tightens prose and format; it does not invent content.

Use when sharpening the "what is new and why it matters for macro/policy" claim of a Journal of Monetary Economics (JME) manuscript — turning a result into a first-order monetary-economics contribution that clears a single-blind, two-referee, "up or out" process.

Use when building or stress-testing the empirical/quantitative analysis for a Journal of Monetary Economics (JME) manuscript — VAR/SVAR, local projections, DSGE estimation, moment matching, IRFs, and FEVDs — to monetary-economics and macroeconomics norms. Covers estimation choices, inference, and robustness.

Use when the identification of a monetary or macro shock (or a structural mechanism) is the bottleneck for a Journal of Monetary Economics (JME) manuscript — high-frequency surprises, narrative shocks, proxy/SVAR, local projections, sign restrictions, and model-based identification. Stress-tests the design before exhibits are drafted.

Use when positioning a Journal of Monetary Economics (JME) manuscript against the monetary-economics and macroeconomics frontier — staking the contribution against monetary-policy, business-cycle, DSGE, intermediation, and expectations literatures without writing a standalone survey.

Use after a Journal of Monetary Economics (JME) revise-and-resubmit to plan the response letter and revision — given JME's distinctive "up or out" rule (the resubmission ends in acceptance or rejection, no second R&R) and the ~50% publication-likelihood signal an R&R carries.

Use when assembling the supplementary-materials / replication deposit for a Journal of Monetary Economics (JME) manuscript — depositing data, code (Dynare/MATLAB/Stata/R), and appendices on ScienceDirect / Mendeley Data per JME's supplemental-materials policy, plus the Elsevier generative-AI declaration.

Use when you need to understand how the Journal of Monetary Economics (JME) review process actually works — single anonymized (single-blind) review with at least two reviewers, the distinctive "up or out" first-revision rule, the ~50% publication-likelihood threshold for an R&R, suggested referees, and reconsideration.

Use when running the final pre-submission preflight for the Journal of Monetary Economics (JME) via Elsevier Editorial Manager — the US$350 (US$200 PhD) up-front fee, single-anonymized review, the 40-page / ≤10 tables-and-figures cap, 100-word abstract, line numbers, author-date references, JEL codes, and the supplementary-materials deposit. Final checks; it does not draft content.

Use when designing the main-text exhibits of a Journal of Monetary Economics (JME) manuscript under the strict 40-page / no-more-than-10-tables-and-figures-combined cap — impulse-response plots, FEVDs, moment tables — and deciding what to push to the online supplementary appendix.

Use when assessing whether a research question fits the Journal of Monetary Economics (JME) — monetary theory and policy, central banking, business cycles, growth, financial intermediation, fiscal interactions, and expectations — before investing in a model or estimation. Checks scope fit and the policy/conceptual payoff bar.

Use when deciding which jme-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through the "up or out" rebuttal for a Journal of Monetary Economics (JME) submission. Routes — it does not replace — the specialized skills.

Use when applying Journal of Monetary Economics (JME) house style — the 100-word abstract that may not begin with "This paper" or "We", author-date references with journal titles spelled out, double-spaced 12-point formatting with line numbers, footnotes not endnotes, up to five keywords, and at least one JEL code.

Use when articulating the theoretical and practical contribution of a Journal of Operations Management (JOM) manuscript — stating what new OM theory the study delivers, why operations is central to the contribution, and what it means for operations managers, in the intro and discussion.

Use when running and reporting the statistical analysis for a Journal of Operations Management (JOM) empirical manuscript — measurement validity for survey constructs, identification and endogeneity for archival operations data, manipulation checks for behavioral-OM experiments, and robustness. Executes and reports the analysis; it does not design the study (jom-methods) or frame the contribution (jom-contribution-framing).

Use when positioning a Journal of Operations Management (JOM) manuscript within the operations and supply chain management conversation — joining a live OM/SCM debate, distinguishing the paper from analytical OM work, and aligning the framing with the target Department's mission.

Use when choosing and defending the research design for a Journal of Operations Management (JOM) empirical study — matching survey, archival/secondary, field, case, experimental, or intervention-based research to the operations question, anticipating the Empirical Research Methods Department's method check, and keeping the design observation-grounded rather than analytical.

Use when planning and drafting a revision and point-by-point response letter for a Journal of Operations Management (JOM) R&R — prioritizing the Department Editor/Associate Editor's decisive concerns, resolving Empirical Research Methods method-check issues, and documenting new operations analyses across multiple rounds.

Use when understanding how Journal of Operations Management (JOM) evaluates submissions — the Department-routed structure, the asymmetric double-anonymous review, the Empirical Research Methods method check, and how to read a JOM decision letter before or after submitting.

Use when preparing a Journal of Operations Management (JOM) submission for the Wiley Research Exchange (ReX) portal — Department routing, the prescriptive cover-letter naming/recommendation protocol, the mandatory submission checklist, double-anonymization, required disclosures, and formatting/similarity compliance.

Use when building or cleaning the exhibits for a Journal of Operations Management (JOM) empirical manuscript — correlation/descriptive tables, regression/SEM result tables, interaction plots, process/intervention figures — in APA-consistent, self-explanatory house style.

Use when building the theoretical argument and hypotheses for a Journal of Operations Management (JOM) empirical study — deriving operations/behavioral mechanisms a priori, borrowing and adapting reference theory to an OM phenomenon, and specifying mediation/moderation so they are testable against observed operations data.

Use when shaping or screening a research question for the Journal of Operations Management (JOM) — testing whether operations is genuinely at the heart of the question, whether the work can be empirical, and which of JOM's 12 Departments should route it (vs. analytical OM venues like M&SOM / Management Science / Operations Research).

Use when deciding which jom-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Operations Management (JOM) submission. Routes — it does not replace — the specialized skills.

Use when drafting or polishing prose for a Journal of Operations Management (JOM) empirical manuscript — front-loading the operations argument, writing for both academics and practitioners, keeping APA house style, and meeting JOM's length, formatting, and text-overlap rules.

Use when analyzing and reporting the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript to JARS standard — effect sizes with uncertainty, honest robustness, and an internal meta-analysis that pools effects across studies. Guides analysis and reporting norms; it does not fabricate results.

Use when positioning a Journal of Personality and Social Psychology (JPSP) manuscript against the literatures its section's readers expect, building the long-format introduction and literature review that precede the multi-study package. Sharpens the gap and contribution; it does not write the literature review for you.

Use when meeting the Journal of Personality and Social Psychology (JPSP) transparency requirements — TOP Guidelines at Level 2, JARS reporting, data/code/materials disclosure to a trusted repository, preregistration status, and Registered Reports. Guides compliance; it does not create data or post your files for you.

Use when responding to a Journal of Personality and Social Psychology (JPSP) decision — revise-and-resubmit or accept-with-revision — across a section editor and multiple masked reviewers, deciding when a concern needs new analyses, an internal-meta-analysis update, or new studies. Guides response strategy; it does not fabricate results or write the paper.

Use to understand how a Journal of Personality and Social Psychology (JPSP) manuscript is judged — per-section editors, masked review, the theoretical-innovation gate, central vs. peripheral limitations, and decision categories. Sets expectations; it does not predict any specific editor's or reviewer's verdict.

Use when designing the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript — sequencing studies, powering each one, choosing experimental / longitudinal / dyadic designs, and planning preregistration. Designs the study set; it does not collect or fabricate data.

Use when running the final pre-submission preflight for the Journal of Personality and Social Psychology (JPSP) — section choice and correct Editorial Manager portal, masked-manuscript preparation, word/study caps, abstract, JARS, and TOP-Level-2 disclosures. Final checks; it does not draft content.

Use when building tables and figures for a Journal of Personality and Social Psychology (JPSP) manuscript in APA 7th edition style — embedded in the text, self-contained, and covering a multi-study package including the internal meta-analysis forest plot. Guides exhibit design; it does not generate data.

Use when building the theoretical argument and deriving testable hypotheses for a Journal of Personality and Social Psychology (JPSP) manuscript, where theoretical innovation is the primary bar and each study in the package must test a specific derivation. Structures the theory; it does not invent constructs or results.

Use when judging whether a personality/social-psychology project fits the Journal of Personality and Social Psychology (JPSP) and — critically — which of the three independently edited sections (ASC, IRGP, PPID) it belongs to. Tests theoretical-contribution fit and section choice; it does not generate research ideas.

Use as the entry point for any Journal of Personality and Social Psychology (JPSP) manuscript. Routes to the right JPSP sub-skill based on where you are in the lifecycle and — first of all — which of the three independently edited sections (ASC, IRGP, PPID) fits the paper. It dispatches; it does not draft content.

Use when drafting or polishing the prose of a Journal of Personality and Social Psychology (JPSP) manuscript — long-format APA 7th writing that fits the section's capped introduction and discussion, plus a ≤250-word abstract. Guides style and structure; it does not ghost-write the paper.

Use when the empirical identification strategy is the bottleneck for a Journal of Political Economy (JPE) manuscript — quasi-experimental designs (DID, IV, RDD, event study) or structural estimation. Stress-tests the design and its economic interpretation before drafting tables; it does not write the model from scratch (see jpe-theory-model).

Use when writing or repairing the introduction and related-work framing for a Journal of Political Economy (JPE) manuscript — situating the contribution in the economics literature with author-date citations. Frames positioning and the intro arc; it does not run the empirics or build the model.

Use when a Journal of Political Economy (JPE) decision letter (R&R or reject-with-encouragement) has arrived and you need to draft the response-to-referees letter and revision plan. Structures the response and the diff; it does not redo the analysis (route back to jpe-identification / jpe-theory-model / jpe-robustness first).

Use when running a pre-submission pre-mortem on a Journal of Political Economy (JPE) manuscript to anticipate the price-theory, general-equilibrium, and identification objections a Chicago referee will raise. Builds the threat list and pre-empts it; it does not write the R&R response (see jpe-rebuttal).

Use when assembling the data and code replication package for a Journal of Political Economy (JPE) manuscript to DCAS / JPE Data Editor standards for conditionally accepted papers, with deposit to the JPE Dataverse. Builds the package and README; it does not run the analysis itself.

Use when the main result of a Journal of Political Economy (JPE) manuscript rests on a single specification and you need to pre-empt the alternative-explanation and fragility objections a Chicago referee will raise. Builds the robustness battery and the falsification logic; it does not establish the primary identification (see jpe-identification).

Use when running the final pre-submission preflight for a Journal of Political Economy (JPE) manuscript via Editorial Express — manuscript format, Chicago author-date references, the $250/$125 submission fee, single-blind review, exhibits, the Micro/Macro companion-journal choice, and supplementary files. Final mechanical gate; it does not improve the economic argument.

Use when finalizing the main exhibits (tables and figures) of a Journal of Political Economy (JPE) manuscript so each one carries economic content and is self-contained. Sets exhibit design and notes standards; it does not decide which results to report (see jpe-robustness).

Use when a Journal of Political Economy (JPE) manuscript needs an explicit economic model or mechanism — either a theory paper's model, or the framework that gives a reduced-form empirical result its economic meaning. Builds and disciplines the economic argument; it does not run estimation (see jpe-identification).

Use when scoping or framing a research question for a Journal of Political Economy (JPE) manuscript and you need to test whether it is "JPE-shaped" — i.e., a mechanism-driven economic question, not an atheoretical correlation. Diagnoses fit and frames the contribution; it does not design the empirics.

Use when deciding which jpe-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Political Economy (JPE) manuscript. Routes — it does not replace — the specialized skills.

Use when polishing the prose of a Journal of Political Economy (JPE) manuscript into its spare, analytical, economics-first register. Tightens voice, structure, and citation/format house style; it does not fix the economic argument itself (see jpe-theory-model / jpe-identification).

Use for analysis-stage decisions on a The Journal of Politics (JOP) manuscript — uncertainty, robustness, and reporting norms — written so the work is reproducible from line one. JOP makes acceptance contingent on replicability and a JOP replication analyst re-runs the code, so every reported number must come from a script. Guides analysis; it does not fabricate results.