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Claude Skills by brycewang-stanford

github.com/brycewang-stanford
5,322 skillsA× 5,279B× 42D× 129 installs5,792 views
Jmsc ProofsA

Use when stating and proving propositions / theorems for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — ensuring each result has a precise statement, a complete proof (in appendix), and that the logical chain has no gaps. A model without proven properties is rejected here. Use after jmsc-model-building.

ai-agentsgo
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1,052
Jmsc RebuttalA

Use when writing the response letter for an R&R at 《管理科学学报》 (Journal of Management Sciences in China) — addressing reviewer concerns about assumptions, proof gaps, algorithm analysis, numerical design, and model contribution, with point-by-point responses and exact pointers to revised propositions / appendix. Use only after the manuscript itself is revised.

ai-agentsgo
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1,052
Jmsc SubmissionA

Use for the pre-submission preflight to 《管理科学学报》 (Journal of Management Sciences in China) — checking length (≤8000 chars; review ≤12000), abstract (≤300 chars), keywords (3–8), bilingual title/abstract, numbered-reference style 〔1〕 by order of appearance, formula numbering, theorem/symbol typesetting, and the online system (jmsc.tju.edu.cn). Verify every rule against the journal's current 投稿指南.

ai-agentsgo
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Jmsc WorkflowA

Use when deciding which jmsc-* sub-skill to invoke next, or when sequencing a 《管理科学学报》 (Journal of Management Sciences in China) manuscript from decision-problem formulation through rebuttal. The key fork is 数理 (model/proof/algorithm) vs 经验实证 (regression/survey). Routes — does not replace — the specialized skills.

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Mw IdentificationA

Use when the empirical identification strategy is the bottleneck for a Management-World manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study) with Chinese policy shocks. Stress-tests the design before drafting tables.

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Mw Institutional BackgroundA

Use when drafting or revising the institutional-background section of a Management-World manuscript, when the China policy timeline is unclear, or when reviewers ask for stronger institutional context.

ai-agents
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1,052
Mw Literature ReviewA

Use when drafting or revising the literature-review section for a Management-World manuscript, when the Chinese / English reference balance is off, or when canonical Chinese references are missing.

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1,052
Mw Mechanism HeterogeneityA

Use when designing or writing mechanism tests and heterogeneity analyses for a Management-World empirical manuscript. Required for nearly all MW empirical submissions.

ai-agents
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1,052
Mw Policy ImplicationA

Use when drafting or strengthening the policy-implications section of a Management-World manuscript. Enforces layered (short / mid / long-term, micro / meso / macro) actionable recommendations.

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1,052
Mw RebuttalA

Use when responding to reviewer reports for a Management-World R&R. Produces the point-by-point response letter and aligned manuscript edits.

ai-agents
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1,052
Mw ReplicationA

Use when assembling the data-and-code replication package required by 《管理世界》 after conditional acceptance, drafting the README in Chinese, or auditing a deposit before editorial-office submission. Implements 《管理世界》"数据可获得性政策" (effective 2023, updated 2025), with explicit handling for CSMAR / Wind / 国泰安 等受限商业数据库 and Chinese government micro-data.

ai-agentspythongo
0
1,052
Mw SubmissionA

Use when running the final pre-submission preflight for 《管理世界》 — format, word count, double-blind, references, anti-plagiarism, author info, and supplementary files.

ai-agents
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1,052
Mw Tables FiguresA

Use when finalizing regression tables and figures for a Management-World manuscript. Enforces three-line table style, footnote conventions, column-count discipline, and figure aesthetics.

ai-agents
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1,052
Mw Topic SelectionA

Use when a Management-World manuscript is at the topic-selection stage and the China-context fit, marginal-contribution sentence, or venue match are unsettled. Produces the contribution-sentence template and the China-context fit checklist.

ai-agents
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1,052
Mw WorkflowA

Use when deciding which mw-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for 《管理世界》 (Management World). Routes — does not replace — the specialized skills.

ai-agents
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1,052
Jmr Contribution FramingA

Use when turning results into an explicit contribution statement for a Journal of Marketing Research (JMR) manuscript — clearing JMR's dual bar by stating both the substantive/theoretical insight and, where relevant, the methodological advance. Frames why marketing researchers should care because the design is credible.

ai-agentsrust
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1,052
Jmr Data AnalysisA

Use when running and reporting the analysis for a Journal of Marketing Research (JMR) manuscript — selecting the estimator that matches the design, and meeting JMR's hard journal-level reporting mandate of exact p-values, standard errors, and effect sizes, plus replication-ready disclosure. Executes and reports; jmr-methods designs the study and jmr-contribution-framing states the payoff.

ai-agentsgit
0
1,052
Jmr Literature PositioningA

Use when positioning a Journal of Marketing Research (JMR) manuscript against the closest behavioral, modeling, and methods literatures so the contribution reads as a genuine advance — not a better application of an existing design or model. Spans both of JMR's methodological streams and uses AMA author-year citation conventions.

ai-agents
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1,052
Jmr MethodsA

Use when matching the research design to the claim for a Journal of Marketing Research (JMR) manuscript — experimental design (lab and field), causal identification (IV/DiD/RDD/matching), or structural/analytical estimation. Adapts to JMR's dominant genres and to its journal-level rigor and replication expectations. It designs; jmr-data-analysis executes and reports.

ai-agentsgogit
0
1,052
Jmr RebuttalA

Use after a Journal of Marketing Research (JMR) Revise-and-Resubmit — planning the revision and drafting a point-by-point response that satisfies two independent reviewers and the Coeditor, addresses rigor-bar concerns (identification, exact statistics, replication) and substance-bar concerns (contribution), and uses the 'W'-prefixed Web Appendix to absorb new analyses without breaking the 50-page limit.

ai-agentsgogit
0
1,052
Jmr Review ProcessA

Use when understanding how the Journal of Marketing Research (JMR) review process works — initial editorial evaluation and possible desk rejection, double-anonymized review, the EIC-plus-Coeditor domain-routing model, the requirement of two independent reviews to reach a Revise/Accept decision, and how to read a JMR decision letter. Sets expectations; jmr-rebuttal drafts the response.

ai-agentsgo
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1,052
Jmr SubmissionA

Use when running the final pre-submission preflight for a Journal of Marketing Research (JMR) manuscript — ScholarOne portal, double-anonymization, the 50-page page limit, the 'W'-prefixed Web Appendix PDF, the title-page Data Availability Statement, AMA formatting, and AI/ethics declarations. Checks readiness to submit; jmr-rebuttal handles the post-decision response.

ai-agentsgit
0
1,052
Jmr Tables FiguresA

Use when building exhibits for a Journal of Marketing Research (JMR) manuscript — result tables, study-flow figures, interaction plots, and model summaries in AMA style, and deciding the split between main-text exhibits (inside the 50-page limit) and 'W'-prefixed Web Appendix exhibits (outside it). Enforces JMR's exact-statistics conventions inside every table.

ai-agentsgit
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1,052
Jmr Theory DevelopmentA

Use when building the conceptual core of a Journal of Marketing Research (JMR) manuscript — deriving behavioral hypotheses with a testable process mechanism, or specifying the economic primitives and behavioral assumptions of a structural/econometric model. Adapts theory to JMR's two dominant genres without inflating into a managerial Journal-of-Marketing narrative.

ai-agents
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1,052
Jmr Topic SelectionA

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.

ai-agentsgotesting
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1,052
Jmr WorkflowA

Use when deciding which jmr-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Marketing Research (JMR) manuscript. Routes — it does not replace — the specialized skills, and classifies the paper as behavioral, modeling/econometric, or a methods contribution.

ai-agentsgo
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1,052
Jmr Writing StyleA

Use when polishing prose for a Journal of Marketing Research (JMR) manuscript — a third-person 200-word abstract, AMA author-year citations, the exact-statistics number conventions, and a front-loaded research argument that clears JMR's dual bar without drifting into managerial Journal-of-Marketing framing. Late-stage polish only.

ai-agentsgit
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1,052
Jm Contribution FramingA

Use when stating the contribution of a Journal of Marketing (JM) manuscript — making the substantive insight explicit and discharging JM's dual mandate of managerial, policy, and societal relevance. Frames the contribution; it does not run the analysis (jm-data-analysis) or polish the prose (jm-writing-style).

ai-agentsrails
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1,052
Jm Data AnalysisA

Use when running and reporting the statistical analysis for a Journal of Marketing (JM) manuscript — the right estimator for a big-tent design, JM's exact p-value / standard-error / effect-size reporting mandate, identification and robustness, and the JM Dataverse replication packet. Executes and reports the analysis; it does not design the study (jm-methods) or frame the contribution (jm-contribution-framing).

ai-agentsgogit
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1,052
Jm Literature PositioningA

Use when positioning a Journal of Marketing (JM) manuscript in the literature — joining a substantive marketing conversation and defending against the "new-context replication" rejection. Positions the paper; it does not build the mechanism (jm-theory-development) or write the contribution statement (jm-contribution-framing).

ai-agents
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1,052
Jm MethodsA

Use when choosing and defending the research design for a Journal of Marketing (JM) manuscript — matching a "big tent" method (experiment, field study, survey, secondary data, qualitative) to a substantive marketing question, with field realism and identification in mind. Designs the study; it does not run the estimation (jm-data-analysis) or frame the contribution (jm-contribution-framing).

ai-agentsgogit
0
1,052
Jm RebuttalA

Use when planning a revision and drafting the point-by-point response letter for a Journal of Marketing (JM) R&R — prioritizing the Coeditor's decisive concerns, strengthening substantive novelty and managerial relevance, and keeping the double-anonymized rules. Plans and drafts the response; it does not interpret the original decision (jm-review-process).

ai-agents
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1,052
Jm Review ProcessA

Use when understanding how Journal of Marketing (JM) review and decisions work — the double-anonymized process, the Coeditor structure, the substantive-and-relevance evaluation bar, and how to read a decision letter. Explains the process and reads the letter; it does not draft the response (jm-rebuttal).

ai-agentsaws
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1,052
Jm SubmissionA

Use when running the final pre-submission preflight for a Journal of Marketing (JM) manuscript — the ScholarOne (Sage Track) portal, double-anonymized formatting, the 50-page inclusive limit, exact-statistic reporting, the Data Availability Statement, and the JM Dataverse plan. Checks readiness to submit; it does not handle the post-decision response (jm-rebuttal).

ai-agentsaws
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1,052
Jm Tables FiguresA

Use when building the tables and figures for a Journal of Marketing (JM) manuscript — exact-statistic result tables, interaction/mechanism plots, and managerial-takeaway exhibits in AMA house style, all counting against the 50-page limit. Finalizes exhibits; it does not run the analysis (jm-data-analysis) or polish the prose (jm-writing-style).

ai-agentsgo
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1,052
Jm Theory DevelopmentA

Use when building the conceptual logic for a Journal of Marketing (JM) manuscript — grounding theory in a real-world marketing phenomenon, deriving predictions, and accommodating an empirics-first route. Builds the argument; it does not select the question (jm-topic-selection) or run the analysis (jm-data-analysis).

ai-agentsgit
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1,052
Jm Topic SelectionA

Use when choosing or sharpening a research question for the Journal of Marketing (JM) — testing whether it is substantive, managerially/societally relevant, and JM-fit (vs. JMR, Marketing Science, or JCR). Locks the question; it does not build the conceptual logic (jm-theory-development) or frame the contribution (jm-contribution-framing).

ai-agentsrusttesting
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1,052
Jm WorkflowA

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

ai-agentsgoaws
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1,052
Jm Writing StyleA

Use when polishing the prose of a Journal of Marketing (JM) manuscript — front-loading the substantive argument, writing for a general managerial-and-scholarly audience, and conforming to AMA author-date house style and formatting. Polishes the writing; it does not build the contribution (jm-contribution-framing) or run the submission preflight (jm-submission).

ai-agentsgo
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1,052
Jmf Data AnalysisA

Use when executing and reporting the analysis for a Journal of Marriage and Family (JMF) manuscript so it survives expert double-blind review — honest uncertainty, robustness, attention to selection and non-independence, and correct handling of complex-survey, longitudinal, and dyadic data. Guides analysis norms; it does not fabricate results.

ai-agentsgit
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1,052
Jmf Literature PositioningA

Use when positioning a Journal of Marriage and Family (JMF) manuscript against the literature so it reads as a family-science contribution. JMF readers span sociology, psychology, demography, and family studies, so the paper must engage the family literatures they expect across disciplines. Stakes the contribution; it does not write the literature review.

ai-agentsgo
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1,052
Jmf RebuttalA

Use when writing the response to a Journal of Marriage and Family (JMF) revise-and-resubmit. JMF reviews are double-blind and most published papers go through at least one R&R, so the response must convert each anonymous reviewer while keeping the editor confident the revision converges. Structures the response letter; it does not fabricate new results.

ai-agentsgoapi
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1,052
Jmf Research DesignA

Use when defending the research design of a Journal of Marriage and Family (JMF) manuscript — longitudinal and life-course designs, dyadic and family-level analysis, family-demographic methods, experiments, and qualitative/multi-method designs. JMF judges each tradition on its own terms and is alert to selection. Strengthens the design; it does not write code.

ai-agentsgitapi
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1,052
Jmf Review ProcessA

Use to understand how the Journal of Marriage and Family (JMF) evaluates a manuscript — double-blind anonymous peer review, editor and reviewer roles (typically three reviewers, ~21-day review window), the revise-and-resubmit pathway, and what triggers desk handling. Sets expectations and shapes the paper to survive review; it does not contact editors.

ai-agentsgo
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1,052
Jmf SubmissionA

Use when running the final pre-submission preflight for the Journal of Marriage and Family (JMF) — format selection (article vs. brief report), double-blind anonymization, page limit, structured abstract, modified APA, bias-free language, data availability statement, and the Wiley Research Exchange portal (migrated from ScholarOne). Final checks; it does not draft content.

ai-agents
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1,052
Jmf Tables FiguresA

Use when building tables and figures for a Journal of Marriage and Family (JMF) manuscript so exhibits are self-contained, accessible, in modified APA style, and count toward the ~35-page (or ~25-page brief-report) limit. JMF counts tables and figures toward the page budget, so exhibits must earn their space. Designs exhibits; it does not run the analysis.

ai-agentsapi
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1,052
Jmf Theory And Conceptual FrameworkA

Use when building the theoretical and conceptual framework of a Journal of Marriage and Family (JMF) manuscript. JMF values explicit family-science frameworks (life course, family systems, stress process, exchange/bargaining, ecological) with clear concepts, mechanisms, and hypotheses. Structures the argument; it does not run analyses.

ai-agentstesting
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1,052
Jmf Topic SelectionA

Use when deciding whether a project fits the Journal of Marriage and Family (JMF) and whether it should be a full article or a brief report. JMF is the interdisciplinary flagship of family science, so the test is a genuine contribution to understanding families and close relationships, not a generic social-science finding. Helps frame the question; it does not collect data.

ai-agentsgoaws
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1,052
Jmf Transparency And Data PolicyA

Use when preparing the reproducibility / replication and data-sharing materials for a Journal of Marriage and Family (JMF) manuscript. JMF asks for replication-level detail and Wiley applies a data-sharing policy with a data availability statement; many family datasets are restricted-use. Covers quantitative and qualitative transparency and the restricted-data path. Prepares the package; it does not waive requirements.

ai-agentsgo
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1,052
Jmf WorkflowA

Use as the entry point for any Journal of Marriage and Family (JMF) manuscript. Routes to the right JMF sub-skill based on where you are in the lifecycle and whether the work fits a full article or a brief report. JMF is the interdisciplinary flagship of family science; the router's first job is to confirm a genuine family-science contribution. It dispatches; it does not draft content.

ai-agentsgo
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1,052