claude

jcr-skills

Twelve-skill bundle covering the Journal of Consumer Research (JCR) manuscript lifecycle.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
/

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

What it installs

Skills (12)

  • jcr-contribution-framing

    Use when writing or sharpening the conceptual contribution of a Journal of Consumer Research (JCR) manuscript and drafting the mandatory 300-word Consumer Relevance and Contribution Statement. Turns results into an explicit theory contribution about consumption; it does not run the studies (jcr-data

  • jcr-data-analysis

    Use when running and reporting the evidence for a Journal of Consumer Research (JCR) manuscript — process evidence (mediation/moderation) for behavioral experiments, or trustworthy interpretation for Consumer Culture Theory (CCT) work — plus robustness and the transparency reporting JCR requires. Ex

  • jcr-literature-positioning

    Use when positioning a Journal of Consumer Research (JCR) manuscript — joining a live consumer-research conversation across disciplines, problematizing rather than gap-spotting, and separating the paper from JCP, JMR, JM, and disciplinary psychology/sociology outlets.

  • jcr-methods

    Use when choosing or stress-testing the research design for a Journal of Consumer Research (JCR) manuscript — multi-study behavioral experiments, interpretive Consumer Culture Theory (CCT) fieldwork, mixed designs, or a Registered Report — so the evidence matches the conceptual claim. Designs the st

  • jcr-rebuttal

    Use when responding to a Journal of Consumer Research (JCR) revise-and-resubmit — planning the revision, running new studies or analyses, satisfying the transparency requirements that become mandatory at invited revision, and drafting a point-by-point response letter for double-anonymized re-review.

  • jcr-review-process

    Use when understanding how Journal of Consumer Research (JCR) review and decisions work — double-anonymized review, the co-editor/AE/reviewer structure, decision letters, and what reviewers from different disciplines expect — before submitting or when a decision arrives. Sets expectations; the actua

  • jcr-submission

    Use when running the final pre-submission preflight for a Journal of Consumer Research (JCR) manuscript — ScholarOne portal, anonymization for double-anonymized review, the 60-page cap, the 200-word abstract, the 300-word Consumer Relevance and Contribution Statement, the Step-6 Data Collection Stat

  • jcr-tables-figures

    Use when building the exhibits for a Journal of Consumer Research (JCR) manuscript — study-summary tables, mediation/moderation results, interaction and spotlight plots, conceptual/process figures, and CCT data displays — in Chicago house style, mindful of the 60-page embedding rule and the web appe

  • jcr-theory-development

    Use when building the conceptual core of a Journal of Consumer Research (JCR) manuscript — the psychological process and hypotheses for an experiments paper, or the interpretive theorization for a Consumer Culture Theory (CCT) paper. Builds the mechanism; it does not run the studies (jcr-methods/jcr

  • jcr-topic-selection

    Use when shaping or stress-testing a research question for the Journal of Consumer Research (JCR) — confirming it is a genuine consumer-behavior question with a conceptual contribution, and that JCR (not JCP, JMR, or JM) is the right venue.

  • jcr-workflow

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

  • jcr-writing-style

    Use when polishing the prose of a Journal of Consumer Research (JCR) manuscript — front-loading the consumer insight, writing for an interdisciplinary readership, and conforming to JCR/Chicago house style, the 200-word abstract, and double-anonymized anonymization. Late-stage polish; do not use it t

View source on GitHub copaper.ai

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