claude

joe-skills

Twelve-skill bundle covering the Journal of Econometrics (JoE) manuscript lifecycle, from methodological topic selection through asymptotics, Monte Carlo, proof exposition, and revision rebuttals.

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

Plugin joe-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)

  • joe-contribution-framing

    Use when a Journal of Econometrics (JoE) manuscript has a correct result but fails to articulate why it matters to econometrics. Frames the methodological contribution as a general, reusable advance rather than a narrow technical fix.

  • joe-data-analysis

    Use when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in finite samples. Covers size/power simulation design, DGP stress tests, and the role of the applied illustration relative to the theory.

  • joe-identification-strategy

    Use when the assumptions, regularity conditions, identification result, and asymptotic theory of a Journal of Econometrics (JoE) methodological paper are the bottleneck. Stress-tests the formal core — what is assumed, what is proved, and how general it is — before tables are drafted.

  • joe-literature-positioning

    Use when the contribution of a Journal of Econometrics (JoE) manuscript relative to the econometrics literature is fuzzy or undersold. Locates the paper precisely against the nearest estimators, tests, and asymptotic results so referees see the methodological delta.

  • joe-rebuttal

    Use after a Journal of Econometrics (JoE) revision request to plan the response letter and revised manuscript — handling technical referee objections on assumptions, asymptotics, and Monte Carlo, and resubmitting through the live official route (note the fee can re-trigger on resubmissions over one

  • joe-replication-and-data-policy

    Use to prepare code and data materials for a Journal of Econometrics (JoE) submission under Elsevier's data-citation and availability norms, including reproducible Monte Carlo and the [dataset] reference tag. Reflects that JoE has no mandatory central replication archive — replication is encouraged,

  • joe-review-process

    Use to understand and navigate the Journal of Econometrics (JoE) editorial process — single-anonymized review, editor screening before a minimum of two referees, the three submission tracks (Regular/Annals/Themed), Guest Associate Editors, and what referees of a methods paper look for.

  • joe-submission

    Use when running the final pre-submission preflight for the Journal of Econometrics (JoE) — live portal routing, the USD $75 fee, ScienceDirect source-file rules, Editorial Express resubmission norms, 250-word abstract, single-anonymized review, and track selection. Final checks; it does not draft c

  • joe-tables-figures

    Use when building the Monte Carlo tables and theory-illustrating figures for a Journal of Econometrics (JoE) manuscript. Covers size/power table conventions, estimator-comparison layout, and figures that make asymptotic and finite-sample behavior legible.

  • joe-topic-selection

    Use when deciding whether a project is a genuine methodological contribution for the Journal of Econometrics (JoE) versus a purely applied result better placed elsewhere. Pressure-tests the idea against JoE's theory-plus-applied-methods scope before months are spent.

  • joe-workflow

    Use when deciding which joe-* sub-skill to invoke next, or when sequencing a Journal of Econometrics (JoE) manuscript from methodological topic selection through revision rebuttal. Routes — it does not replace — the specialized skills.

  • joe-writing-style

    Use to make a Journal of Econometrics (JoE) manuscript read in house style — a precise abstract under 250 words, a contribution-first introduction, legible theorem-and-proof exposition, and Elsevier elsarticle/[dataset] reference conventions. Late-stage polish; it does not invent results.

View source on GitHub copaper.ai

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