Operations Research Skills
Agent skill stack for manuscripts targeted at Operations Research (OR), the flagship methodology journal of INFORMS. Covers OR/MS topic selection, model formulation and theory development (optimization, stochastic/probabilistic models, simulation, decision analysis), literature positioning, mathematically rigorous methods and analysis (theorems and proofs alongside data-driven and applied contribu
Skills in this plugin
12- ▌ Ors Methods · brycewang-stanfordUse 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. Establishes the results; it does not state the model (ors-theory-development) or run the experiments (ors-data-analysis).
- ▌ Ors Rebuttal · brycewang-stanfordUse 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 decision in the first place (ors-review-process) or run the final preflight (ors-submission).
- ▌ Ors Workflow · brycewang-stanfordUse 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-data-analysis).
- ▌ Ors Submission · brycewang-stanfordUse 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/data deposit plan. Checks readiness to submit; it does not handle the post-decision response (ors-rebuttal).
- ▌ Ors Data Analysis · brycewang-stanfordUse 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; it does not prove the results (ors-methods) or lay out the exhibits (ors-tables-figures).
- ▌ Ors Writing Style · brycewang-stanfordUse 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 model (ors-theory-development) or run the submission preflight (ors-submission).
- ▌ Ors Review Process · brycewang-stanfordUse 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 decision; it does not draft the response (ors-rebuttal) or run the preflight (ors-submission).
- ▌ Ors Tables Figures · brycewang-stanfordUse 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 prove the results (ors-methods).
- ▌ Ors Topic Selection · brycewang-stanfordUse 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-development) or position it in the literature (ors-literature-positioning).
- ▌ Ors Theory Development · brycewang-stanfordUse 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 not prove them in detail (ors-methods) or run the computational study (ors-data-analysis).
- ▌ Ors Contribution Framing · brycewang-stanfordUse 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 prior papers (ors-literature-positioning) or run experiments (ors-data-analysis).
- ▌ Ors Literature Positioning · brycewang-stanfordUse 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 the contribution statement (ors-contribution-framing).