claude

restud-skills

Twelve-skill bundle covering the The Review of Economic Studies (REStud) manuscript lifecycle.

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

Plugin restud-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)

  • restud-identification

    Use when selecting, implementing, or stress-testing the causal identification strategy for an empirical The Review of Economic Studies (REStud) manuscript — DID (incl. staggered), IV (incl. weak-IV-robust inference), RDD, synthetic control, shift-share, or RCT. Apply before writing results; for theo

  • restud-literature-positioning

    Use when positioning a The Review of Economic Studies (REStud) manuscript against the closest related work — confronting the nearest papers and stating the marginal contribution precisely. Sharpens positioning; does not write the full introduction or run empirics.

  • restud-rebuttal

    Use when a referee report or R&R has arrived for a The Review of Economic Studies (REStud) manuscript and a point-by-point response letter plus aligned manuscript revisions are needed. Structures the revision and the letter; does not redo the science from scratch.

  • restud-referee-strategy

    Use when anticipating the referee pool and their likely objections for a The Review of Economic Studies (REStud) manuscript, and when pre-empting those objections in the paper before submission. Maps reviewers and hardens the paper against them; does not write the rebuttal (that is restud-rebuttal).

  • restud-replication-package

    Use when assembling the data and code deposit for an accepted empirical The Review of Economic Studies (REStud) manuscript, writing the README, or auditing reproducibility before the journal's Data Editor runs the pre-publication reproducibility check. Builds a deposit-ready package; does not run th

  • restud-robustness

    Use when the main results of a The Review of Economic Studies (REStud) manuscript exist but referee-anticipating checks — robustness, heterogeneity, mechanism, placebo, alternative specifications — are missing or fragile. Hardens the result against demanding referees; does not redesign identificatio

  • restud-submission

    Use when running the final pre-submission preflight for a The Review of Economic Studies (REStud) manuscript — double-anonymity, the ~45-page limit, Harvard author-date references, online appendix, the USD submission fee, and the Editorial Express portal. Last gate before submitting; does not assess

  • restud-tables-figures

    Use when the exhibits in a The Review of Economic Studies (REStud) manuscript need to be made publication-grade — regression tables that are oversized or footnote-bloated, or figures that do not carry the result. Finalizes exhibits to REStud house standard; does not run the underlying analysis.

  • restud-theory-model

    Use when building, sharpening, or stress-testing the theoretical model in a The Review of Economic Studies (REStud) manuscript — whether a pure-theory paper or an empirical paper with a model — and when routing proofs to the online appendix. Develops the model and its economic payoff; does not run t

  • restud-topic-selection

    Use when evaluating whether a research idea clears the REStud top-5 bar, or when sharpening a fuzzy idea into one clean original contribution for a The Review of Economic Studies (REStud) manuscript. Diagnoses fit and contribution; does not draft prose or design empirics.

  • restud-workflow

    Use when deciding which restud-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The Review of Economic Studies (REStud) manuscript. Routes — does not replace — the specialized skills.

  • restud-writing-style

    Use when polishing the prose of a The Review of Economic Studies (REStud) manuscript — introduction, abstract, and overall economy of exposition — so the original contribution reads clearly and elegantly. Polishes writing; does not change results, design, or model.

View source on GitHub copaper.ai

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