claude

jet-skills

Twelve-skill bundle covering the Journal of Economic Theory (JET) theorem-proof manuscript lifecycle.

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

Plugin jet-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)

  • jet-contribution-framing

    Use when framing the contribution of a Journal of Economic Theory (JET) paper so its theoretical advance is unmistakable — lead with the theorem, state why the result matters for the relevant theory, and right-size the claim to exactly what the proof delivers. For JET's theory-first bar; it does not

  • jet-data-analysis

    Use when handling numerical, computational, or empirical content in a Journal of Economic Theory (JET) paper — JET is theory-first, so examples, simulations, and computed equilibria must stay subordinate to the theorem and reproducible.

  • jet-identification-strategy

    Use when hardening the assumptions, results, and proof architecture of a Journal of Economic Theory (JET) paper — the theory analogue of an identification strategy. Make every assumption explicit and load-bearing, architect the proof so two expert referees can verify it, and defend the generality/tr

  • jet-literature-positioning

    Use when staking a Journal of Economic Theory (JET) contribution against the theory frontier — show precisely which assumption is weakened, which result is generalized, or which new phenomenon is characterized relative to the closest existing theorems. Positions the result; it is not a standalone su

  • jet-rebuttal

    Use when building the response letter for a Journal of Economic Theory (JET) revise-and-resubmit — address each single-anonymized referee's correctness, generality, and exposition points, supply corrected or strengthened proofs or counterexamples, and show exactly where the .tex was changed. For R&R

  • jet-replication-and-data-policy

    Use when handling the Journal of Economic Theory (JET) data/code expectations — JET is theorem-proof oriented, but Elsevier Option C applies when research data exist: deposit/cite/link data in a repository or explain why sharing is not possible. Focuses on reproducible computation when a paper has a

  • jet-review-process

    Use when interpreting the Journal of Economic Theory (JET) review pipeline — editor desk-screening, single-anonymized refereeing, at least two reviewers, editor decisions, and the generative-AI bar on referees.

  • jet-submission

    Use when running the final pre-submission preflight for the Journal of Economic Theory (JET) via Elsevier Editorial Manager — editable Word/LaTeX source (no PDF source), 250-word abstract, 1-7 keywords, optional Highlights, author-year proof-stage references, Option C data statement, generative-AI d

  • jet-tables-figures

    Use when designing the exhibits in a Journal of Economic Theory (JET) paper — mostly schematic theory figures (best-response/phase diagrams, lattices, timing trees, mechanism flow) and small illustrative tables, kept consistent with the body's notation and rendered as vector graphics. Light for a th

  • jet-topic-selection

    Use when testing whether a project clears the Journal of Economic Theory (JET) scope gate — a rigorous, original theoretical contribution in a core theory area, with empirical/computational work only when firmly grounded in theory.

  • jet-workflow

    Use when routing a Journal of Economic Theory (JET) manuscript — decides which jet- sub-skill to invoke next across the theorem-proof lifecycle, from theory-first scope check through Editorial Manager submission and single-anonymized R&R. Use first when unsure where to start.

  • jet-writing-style

    Use when applying the Journal of Economic Theory (JET) house style to a manuscript — the Elsevier elsarticle theorem-proof format with definition/assumption/proposition/theorem/proof structure, disciplined notation, full references in the abstract, 250-word abstract, 1-7 keywords, optional Highlight

View source on GitHub copaper.ai

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