pom-tables-figures
GitHub专为POM论文设计图表与表格，决定32页正文与在线附录的内容分配。针对分析、实证、行为及数据科学等不同方法轨提供展示建议，确保图表具备决策可读性，并通过MCP工具链自动化生成符合规范的LaTeX内容。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-tables-figures -g -y
SKILL.md
Frontmatter
{
"name": "pom-tables-figures",
"description": "Use when designing the exhibits for a Production and Operations Management (POM) manuscript — result tables, comparative-statics and sensitivity plots, model schematics, empirical tables, simulation plots — and deciding what stays in the 32-page main paper vs. the online e-companion. Designs exhibits; it does not run the analysis (pom-data-analysis)."
}
Tables & Figures (pom-tables-figures)
When to trigger
- Exhibits are cluttered, off house style, or not self-explanatory
- You are over the 32-page cap and must decide what moves to the e-companion
- A reviewer cannot follow the contribution from the table/figure sequence
The POM exhibit budget: main paper vs. e-companion
POM's 32-page limit counts tables, figures, appendices, and references (1.5 spacing, 11-pt). Treat exhibits as a scarce budget: only the displays that carry the core operational insight belong in the main paper; full proofs, large parameter grids, extended robustness, and supplementary tables go to the unlimited online e-companion. Number e-companion exhibits distinctly (e.g., EC.1, Table EC.2) and cross-reference them stably from the main text.
Match the exhibit to the method track
- Analytical/modeling: a model schematic (decision timeline, information structure); a comparative-statics or sensitivity figure showing how the optimal policy moves with cost, lead time, or competition; a table of structural results. Lead with the managerial reading of the curve, not just its monotonicity.
- Empirical OM: a descriptive/summary table; the main results table with effect sizes and standard errors; robustness columns. Put units in decision-relevant terms (cost, fill rate, days).
- Behavioral OM: treatment-by-condition means with error bars; manipulation-check evidence.
- Operations data science: validation/performance tables plus a figure showing the operational gain (e.g., cost or service improvement from predict-then-optimize), not just accuracy.
- Simulation: plots with confidence intervals across sensitivity ranges.
Make every exhibit decision-legible
- Title and note each exhibit with its decision implication, not only the statistical or mathematical object.
- State operational units explicitly.
- Ensure a Department Editor can grasp the contribution from the first one or two exhibits.
- Avoid duplicating main-paper content in appendices or the e-companion.
Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers (the usual source of
body-vs-appendix drift). Full map: execution-with-mcp. POM spans analytical and empirical OM; apply the chain below to its empirical-OM papers, and note when a contribution is analytical / optimization.
- Tables:
etable(multi-model columns) ordid_summary_to_latexstraight from theresult_id. - Figures:
plot_from_result/enhanced_event_study_plot/event_study_table— axis units and the SE/clustering note baked in. - Every note names the estimator + clustering and states the effect size in interpretable units.
See a full fitted-result → exhibit chain in the JF execution walkthrough.
Checklist
- Core insight exhibits in the main paper; depth in the e-companion
- Exhibits counted against the 32-page budget
- Operational units and decision implications labeled
- E-companion exhibits numbered (EC.*) and cross-referenced stably
- No duplication between main paper, appendix, and e-companion
Exhibit pass for Production and Operations Management
Treat this skill as an executable review pass, not a prose hint. First lock the operational decision, the performance metric, and the implementable lever; then judge whether the current manuscript answers the venue's real reader: POM reviewers who want operational insight tied to production, service, supply-chain, or platform decisions.
- Do the pass: For every table or figure, state the estimand or object, sample or case base, uncertainty display, and one sentence the exhibit proves for the venue audience.
- Return a ledger: give
claim / evidence / risk / manuscript locationrows, so the next agent can edit rather than rediscover the issue. - Sibling guard: compare against Management Science for broader OR/MS theory, Operations Research for method-first optimization, MSOM for manufacturing/service operations depth; if a sibling owns the contribution, recommend re-routing before polishing format.
- Stop condition: do not give submission-ready advice until the pack's
resources/official-source-map.mdhas been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.
Output format
【Exhibit】table / figure / schematic / appendix item
【Purpose】mechanism / result / robustness / implication / method detail
【Placement】main paper / e-companion (EC.*)
【Problem】readability / page budget / missing units
【Revision】specific design change
【Next step】pom-writing-style
Version History
- 1839142 Current 2026-07-05 14:13
