From informs-journal-on-computing-skills
Sharpens the computational/methodological claim of an IJOC manuscript by framing the contribution in a falsifiable one-sentence claim. Use when the contribution is not sharp or reads as application rather than computing.
How this skill is triggered — by the user, by Claude, or both
Slash command
/informs-journal-on-computing-skills:ijoc-contribution-framingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- You cannot state in one sentence **what is computationally new and by how much**
ijoc-data-analysis) but the paper does not claim them crisplyA strong IJOC contribution sentence names the method, the axis of improvement, the magnitude, and the evidence regime — and is falsifiable. Template:
"We propose [method] for [OR problem]; it [wins on axis] by [magnitude] over [SOTA baseline] on [benchmark set], with [guarantee/property]."
Worked, illustrative: "We propose a Benders-with-lazy-cuts scheme for two-stage stochastic network design that solves instances 6× larger than the best published exact method on standard library instances within the same time limit, with a proof of cut validity and a 31% root-gap reduction." That sentence tells the Area Editor exactly what to verify.
Frame the contribution as one (or a clear combination) of these, and make the primary one unambiguous:
| Contribution type | What makes it land at IJOC | Common failure |
|---|---|---|
| New exact method / formulation | larger solvable instances, tighter bounds, with validity proven | "new model" with no computational edge |
| New heuristic/matheuristic | better quality or time, fairly compared, ideally with a bound | win over a strawman baseline |
| ML-for-OR method | beats both OR and prior learning baselines; feasibility safe | a black box with no OR baseline |
| New simulation/estimation method | lower variance/cost at equal accuracy, with theory | "we simulated it" with no methodological news |
| Computational tooling/methodology | enables computations not previously feasible, reproducibly | software existence without a methodological claim |
The most common framing error at IJOC is leading with the application ("we study airline crew scheduling") rather than the computing ("we design a column-generation acceleration that…"). State the application in one or two sentences as motivation, then pivot hard to the methodological news. If you remove the application and the paper still has a contribution, you are framed correctly; if it collapses, the computing is not yet the contribution — return to ijoc-topic-selection.
Overclaiming triggers referee distrust; underclaiming wastes a good result. Match the verb to the evidence: "proves," "guarantees" only with proofs; "consistently outperforms" only with a performance profile and a statistical test; "scales to" only with a scaling plot. Scope honestly by regime ("on sparse, large instances") rather than blanket dominance. The claim in the abstract, the intro, and the conclusion must be the same claim.
【Journal】INFORMS Journal on Computing
【Skill】ijoc-contribution-framing
【Contribution sentence】method + axis + magnitude + baseline + benchmark + property
【Primary type】exact / heuristic / ML-for-OR / simulation / tooling
【Computing-first?】application is motivation only? [Y/N]
【Claim–evidence match】verbs justified by proofs/profiles/scaling? [Y/N]
【Regime scoping】where the claim holds / where a rival wins
【Next skill】ijoc-tables-figures
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin informs-journal-on-computing-skillsRewrites IJOC manuscript prose, abstract, and introduction to highlight the computational advance for an OR-meets-CS readership.
Guides writing mandatory contribution statements for Operations Research manuscripts, especially the cover letter (<500 words) and discussion significance claims.
Guides authors on positioning algorithmic/optimization/ML-for-OR manuscripts for INFORMS Journal on Computing, including scope fit, method evidence bar, house style, and desk-reject heuristics.