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Agent skill stack for manuscripts targeted at Management Science — the INFORMS flagship, established in 1954 by the precursor Institute of Management Sciences (TIMS).
This repository is opinionated. It is not a generic "management writing" toolbox. It is a Management Science-specific stack built around the journal's defining feature: it is deliberately bimethodological, placing rigorous analytical/quantitative modeling (operations research, optimization, stochastic processes, game and economic theory) side by side with empirical work (econometrics, lab/field experiments, behavioral studies, data science), across every functional business area — accounting, finance, marketing, operations, information systems, strategy, entrepreneurship, organizations, behavioral economics. Submissions are routed through a Department / area-editor structure, and the unifying bar is rigor plus a decision-relevant contribution that travels across departments.
Durable norms only. The Editor-in-Chief, the submission fee, exact page limits, the department roster, and policies change — always verify on the official Management Science submission guidelines and the Code and Data Disclosure Policy pages on INFORMS PubsOnline.
Management Science imposes constraints that differ materially from single-method or theory-only journals:
| Constraint | Management Science | Implication |
|---|---|---|
| Methodology | Bimethodological — analytical modeling and empirical, equally | Pick the right lane; meet that lane's rigor bar |
| Routing | Department / area-editor structure; the DE owns the desk screen | Wrong Department or wrong literature → wrong desk |
| Core bar | Rigor plus a decision-relevant insight that travels across departments | A correct model with no managerial reading is off-mission |
| Fit | Must belong here vs Operations Research / M&SOM / Marketing Science | DE/AE first screen for department fit and merit |
| Review | Double-anonymized; AE recruits reviewers after initial screen | Anonymize fully; disclose proceedings versions anonymously |
| Transparency | Code and Data Disclosure + AsCollected project page | Build a regenerating replication package from day one |
| Fee | $79 per submission (Aug 1, 2025), member / low-income / honor waivers | Pay or claim a waiver; no justification needed for the honor waiver |
| Length | No initial limit; prefers short, focused papers; invited revisions capped | Tight notation and a lean main body; offload to the online appendix |
| Style | Author-year citations; 11-pt, 1-inch; abstract ≤ 250 words, 3–5 keywords | Configure the reference manager to name–date |
Generic "scientific writing" or "social-science methods" packs do not address these constraints.
/plugin marketplace add https://github.com/brycewang-stanford/mgsci-skills
/plugin install mgsci-skills
/reload-pluginsgit clone https://github.com/brycewang-stanford/mgsci-skills.git
cd mgsci-skills
mkdir -p ~/.claude/skills && cp -R skills/mgsci-* ~/.claude/skills/
# or
mkdir -p ~/.codex/skills && cp -R skills/mgsci-* ~/.codex/skills/Use mgsci-workflow to tell me which skill I should use next for my Management Science manuscript.
mgsci-topic-selection
▼
mgsci-theory-development
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mgsci-literature-positioning
▼
mgsci-methods
▼
mgsci-data-analysis
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mgsci-contribution-framing
▼
mgsci-tables-figures
▼
mgsci-writing-style (polish)
▼
mgsci-submission
▼
mgsci-review-process
▼
mgsci-rebuttal
mgsci-workflow is the router — it tells you which skill to use next, and which Department lane (analytical vs empirical) you are in.
| Skill | Purpose |
|---|---|
mgsci-workflow |
Router — decides which sub-skill to invoke next and which lane you are in |
mgsci-topic-selection |
Decision-relevance bar + Department fit (vs Operations Research / M&SOM / Marketing Science) |
mgsci-theory-development |
Analytical model (assumptions → propositions → comparative statics) or a priori hypotheses |
mgsci-literature-positioning |
Joining the right Department's conversation; problematization; author-year citing |
mgsci-methods |
Matching an analytical or empirical design to the question and the Department standard |
mgsci-data-analysis |
Proofs + numerics or identification/estimation + robustness; disclosure package |
mgsci-contribution-framing |
Decision-relevant insight that travels across departments; the fit case |
mgsci-tables-figures |
Comparative-statics figures / result tables; self-contained, notation-lean exhibits |
mgsci-writing-style |
Front-loaded result, notation paired with intuition, author-year house style |
mgsci-submission |
ScholarOne seven-step preflight: anonymization, fee/waivers, disclosure package |
mgsci-review-process |
Department desk screen, high desk-reject, double-anonymized review, fit bar |
mgsci-rebuttal |
R&R revision and point-by-point response; page cap and disclosure update |
resources/external_tools.md— analytical tooling (Gurobi / CPLEX / JuMP / Mathematica) and empirical tooling (Stata / R / Python / oTree / Prolific) plus the Data-and-Code-Disclosure package reciperesources/official-source-map.md— official INFORMS/Management Science URLs behind current process facts (accessed 2026-06-20)
- Publisher / lineage: INFORMS; established 1954 by the precursor Institute of Management Sciences (TIMS).
- Editor-in-Chief: Christoph H. Loch, term Jan 1, 2024 – Dec 31, 2026.
- Portal: ScholarOne Manuscripts at mc.manuscriptcentral.com/mnsc; seven-step upload.
- Abstract: ≤ 250 words; 3–5 keywords.
- Style: author-year in-text citations (e.g., Norman 1977); 11-pt, 1-inch margins; PDF preferred.
- Length: no formal initial limit; invited revisions ≤ 47 pages double-spaced or 32 pages 1.5-spaced, online appendix excluded.
- Fee: $79 per original submission (effective Aug 1, 2025); INFORMS-member, low-/lower-middle-income-economy, and honor-based waivers.
- Transparency: Code and Data Disclosure Policy (effective June 1, 2019; revised April 20, 2026); authors provide an AsCollected project-page URL at submission, and accepted numerical/computational papers provide data, programs, and details sufficient to permit replication before production.
See resources/official-source-map.md for the official INFORMS source trail.
| Dimension | Management Science | Operations Research | M&SOM | Marketing Science |
|---|---|---|---|---|
| Core contribution | Decision-relevant insight that travels across departments | New OR method / theory | Supply-chain & service ops | Quantitative-marketing models |
| Methodology | Analytical and empirical, side by side | Predominantly analytical/OR | Analytical + empirical ops | Models of consumer/firm behavior |
| Best fit | Cross-department managerial-science results | Methodological OR advances | Operations management focus | Marketing focus |
If the core contribution is a methodology with limited managerial reading, target Operations Research; if it is supply-chain/service operations, M&SOM; if it is quantitative marketing, Marketing Science.
- awesome-journal-skills — index of journal-specific skill packs
MIT