claude

ors-skills

Twelve-skill bundle covering the Operations Research (OR) manuscript lifecycle.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
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Plugin ors-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)

  • ors-contribution-framing

    Use when articulating the contribution of an Operations Research (OR) manuscript — especially the mandatory cover-letter contribution statement (since 1 June 2023, fewer than 500 words) and the discussion's significance claims. Frames why the work matters to OR; it does not position against specific

  • ors-data-analysis

    Use when running and reporting the computational study for an Operations Research (OR) manuscript — benchmark instances, baselines, reproducible experiments, statistical care for stochastic output, and the ORJournal code-and-data reproducibility workflow. Executes and reports the numerical evidence;

  • ors-literature-positioning

    Use when placing an Operations Research (OR) manuscript against the OR/MS literature — separating your model, results, and algorithmic guarantees from the closest prior work so the novelty is unambiguous. Positions the contribution; it does not formulate the model (ors-theory-development) or write t

  • ors-methods

    Use when designing the proof technique, algorithm, or simulation protocol for an Operations Research (OR) manuscript — choosing the right machinery (duality, dynamic programming, probabilistic coupling, convergence analysis, simulation output analysis) to actually establish the claimed results. Esta

  • ors-rebuttal

    Use when responding to an Operations Research (OR) decision letter — writing the point-by-point response, closing proof gaps, adding baselines/instances, and passing the ORJournal code/data reproducibility review across a revision cycle. Drafts the revision and response; it does not parse the decisi

  • ors-review-process

    Use when navigating the Operations Research (OR) editorial process — the departmental area-editor routing, the soft double-anonymous model with asymmetric transparency, decision types, and how to read a decision letter from the handling Area Editor. Explains how review works and how to read a decisi

  • ors-submission

    Use when running the final pre-submission preflight for an Operations Research (OR) manuscript — INFORMS Author Portal/ScholarOne, area selection, recommending Associate Editors and reviewers, soft double-anonymous anonymization, the mandatory contribution statement, page-tier limits, and the code/d

  • ors-tables-figures

    Use when building the exhibits for an Operations Research (OR) manuscript — theorem/assumption layout, comparison tables against prior work, computational-results tables, and convergence/scaling plots in INFORMS house style. Lays out exhibits; it does not generate the numbers (ors-data-analysis) or

  • ors-theory-development

    Use when formulating the model and stating results for an Operations Research (OR) manuscript — defining the optimization/stochastic/simulation model, assumptions, and the theorems, propositions, and lemmas that carry the contribution. Builds the mathematical object and its claimed results; it does

  • ors-topic-selection

    Use when deciding whether a problem is a fit for Operations Research (OR) and which of its editorial areas it belongs to — testing for a genuine OR/MS methodological contribution and picking the correct area before formulating. Scopes and routes the problem; it does not build the model (ors-theory-d

  • ors-workflow

    Use as the router for an Operations Research (OR) manuscript — given where you are in the OR/MS modeling-to-submission lifecycle, it names the next ors-* skill to invoke. Routes; it does not itself formulate models (ors-theory-development), prove results (ors-methods), or run computational studies (

  • ors-writing-style

    Use when polishing the prose and notation of an Operations Research (OR) manuscript — enforcing the equation-free introduction, the text-only abstract under 200 words, clean theorem-proof exposition, and INFORMS author-year house style. Polishes language and house style; it does not formulate the mo

View source on GitHub copaper.ai

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