claude

jbes-skills

Twelve-skill bundle covering the Journal of Business & Economic Statistics (JBES) manuscript lifecycle, from method-fit topic selection through submission and rebuttal.

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

Plugin jbes-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)

  • jbes-contribution-framing

    Use when sharpening the core methodological contribution of a Journal of Business & Economic Statistics (JBES) paper into one legible claim that pairs novelty with empirical relevance. Frames the contribution; it does not develop the theory or run the analysis.

  • jbes-data-analysis

    Use when building the Monte Carlo evidence and the substantive empirical application for a Journal of Business & Economic Statistics (JBES) methods paper. Designs and audits the simulation study and the real-data analysis; it does not derive the asymptotic theory (see jbes-identification-strategy).

  • jbes-identification-strategy

    Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm. Stress-tests the method's validity, not a causal design.

  • jbes-literature-positioning

    Use when positioning a Journal of Business & Economic Statistics (JBES) methods paper against prior econometric and statistical methods. Stakes what is new relative to the existing toolkit; it does not write a standalone literature survey.

  • jbes-rebuttal

    Use when a Journal of Business & Economic Statistics (JBES) decision letter arrives (R&R or major revision) and a response strategy and letter are needed for a methods paper. Structures the revision and response; it does not redo the analysis (route to the relevant jbes-* skill).

  • jbes-replication-and-data-policy

    Use when assembling the reproducible data-and-code supplement for a Journal of Business & Economic Statistics (JBES) paper under the American Statistical Association (ASA) data-sharing and reproducibility policy. Builds the supplement; it does not run the analysis itself.

  • jbes-review-process

    Use when planning around the Journal of Business & Economic Statistics (JBES) peer-review process — the multi-Co-Editor model, what method referees scrutinize, and the discussion-paper tradition. Sets expectations; it does not draft the response letter (see jbes-rebuttal).

  • jbes-submission

    Use when running the final pre-submission preflight for the Journal of Business & Economic Statistics (JBES) — files, the data-and-code supplement, declarations, and the cover letter for a multi-Co-Editor methods journal. Final checks; it does not draft content.

  • jbes-tables-figures

    Use when designing the simulation tables and figures for a Journal of Business & Economic Statistics (JBES) methods paper so size, power, coverage, and the empirical results are legible to both statisticians and applied economists. Improves exhibits; it does not change results.

  • jbes-topic-selection

    Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test. Checks methodological novelty plus clear empirical relevance before time is sunk; it does not develop the method itself.

  • jbes-workflow

    Use when deciding which jbes-* sub-skill to invoke next, or when sequencing methods-paper work from topic selection through rebuttal for a Journal of Business & Economic Statistics (JBES) submission. Routes — it does not replace — the specialized skills.

  • jbes-writing-style

    Use when polishing prose, theorem statements, the abstract, and the introduction for a Journal of Business & Economic Statistics (JBES) methods paper so the methodological contribution and its empirical relevance both land. Polishes exposition; it does not change theory or results.

View source on GitHub copaper.ai

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