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Get Started Free →Use when building or cleaning the tables and figures for an Academy of Management Journal (AMJ) manuscript — correlation tables, regression/SEM/HLM result tables, the theoretical-model figure, and interaction plots in AOM house style. Finalizes exhibits; it does not run the analysis (amj-data-analysis) or frame the contribution (amj-contribution-framing).
.claude/skills/brycewang-stanford-amj-tables-figures/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 39% | 0% |
| case-24 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-19 | ✗→✓ | ▲ Improved | 63% | 0% |
Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp. AMJ is empirical management — panel, multilevel, DiD, IV, and field/lab experiments; the chain below serves that lane, while grounded-theory / qualitative work uses its own standards.
etable (multi-model columns) or did_summary_to_latex straight from theresult_id.
plot_from_result / enhanced_event_study_plot / event_study_table —axis units and the SE/clustering note baked in.
interpretable units.
See a full fitted-result → exhibit chain in the JF execution walkthrough.
【Table 1】means/SD/correlations + reliabilities on diagonal? yes/no
【Result tables】nested models + ΔR²/fit reported? yes/no
【Interaction plots】one per significant interaction? yes/no
【Model figure】matches hypotheses one-to-one? yes/no
【Self-contained】all titles/notes complete? yes/no
【House-style check】markers/SE/decimals/resolution vs. AOM guide: pass/fix
【Next step】amj-writing-style| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 15,039 | 9,803 | -35% | 1 | 1 | 0% | 2,589 | 2,980 | +15% | 0 | 0 | — |
case-02 | pass→pass | 10,128 | 18,872 | +86% | 1 | 1 | 0% | 1,858 | 4,802 | +158% | 0 | 0 | — |
case-03 | pass→pass | 21,219 | 12,159 | -43% | 1 | 1 | 0% | 3,595 | 3,357 | -7% | 0 | 0 | — |
case-04 | pass→pass | 17,722 | 19,570 | +10% | 1 | 1 | 0% | 2,882 | 4,510 | +56% | 0 | 0 | — |
case-05 | pass→pass | 15,317 | 15,136 | -1% | 1 | 1 | 0% | 2,423 | 3,553 | +47% | 0 | 0 | — |
case-06 | pass→pass | 11,568 | 9,263 | -20% | 1 | 1 | 0% | 1,883 | 2,860 | +52% | 0 | 0 | — |
case-07 | pass→pass | 11,525 | 7,058 | -39% | 1 | 1 | 0% | 2,076 | 2,472 | +19% | 0 | 0 | — |
case-08 | fail→pass | 12,826 | 7,649 | -40% | 1 | 1 | 0% | 2,068 | 2,594 | +25% | 0 | 0 | — |
case-09 | pass→pass | 12,600 | 9,100 | -28% | 1 | 1 | 0% | 2,066 | 2,872 | +39% | 0 | 0 | — |
case-10 | pass→pass | 12,508 | 6,308 | -50% | 1 | 1 | 0% | 2,169 | 2,451 | +13% | 0 | 0 | — |
case-11 | fail→pass | 12,788 | 9,673 | -24% | 1 | 1 | 0% | 2,330 | 2,892 | +24% | 0 | 0 | — |
case-12 | pass→pass | 15,003 | 6,766 | -55% | 1 | 1 | 0% | 2,287 | 2,389 | +4% | 0 | 0 | — |
case-13 | fail→pass | 10,038 | 5,845 | -42% | 1 | 1 | 0% | 1,720 | 2,383 | +39% | 0 | 0 | — |
case-14 | pass→pass | 10,978 | 7,220 | -34% | 1 | 1 | 0% | 1,736 | 2,538 | +46% | 0 | 0 | — |
case-15 | pass→pass | 10,885 | 7,043 | -35% | 1 | 1 | 0% | 1,835 | 2,470 | +35% | 0 | 0 | — |
case-24 | fail→pass | 13,497 | 9,922 | -26% | 1 | 1 | 0% | 2,531 | 2,978 | +18% | 0 | 0 | — |
case-16 | pass→pass | 12,158 | 8,598 | -29% | 1 | 1 | 0% | 1,942 | 2,621 | +35% | 0 | 0 | — |
case-17 | pass→pass | 12,515 | 7,624 | -39% | 1 | 1 | 0% | 2,260 | 2,624 | +16% | 0 | 0 | — |
case-18 | pass→pass | 15,264 | 14,646 | -4% | 1 | 1 | 0% | 2,636 | 3,995 | +52% | 0 | 0 | — |
case-19 | fail→pass | 7,785 | 7,239 | -7% | 1 | 1 | 0% | 1,515 | 2,465 | +63% | 0 | 0 | — |
case-20 | pass→pass | 6,818 | 4,607 | -32% | 1 | 1 | 0% | 928 | 2,028 | +119% | 0 | 0 | — |
case-21 | pass→pass | 16,668 | 14,525 | -13% | 1 | 1 | 0% | 3,075 | 4,042 | +31% | 0 | 0 | — |
case-22 | fail→pass | 10,862 | 7,311 | -33% | 1 | 1 | 0% | 1,847 | 2,455 | +33% | 0 | 0 | — |
case-23 | pass→pass | 5,431 | 5,053 | -7% | 1 | 1 | 0% | 901 | 2,155 | +139% | 0 | 0 | — |
case-25 | pass→pass | 11,095 | 9,822 | -11% | 1 | 1 | 0% | 1,834 | 2,984 | +63% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted. The headline lift of +24 percentage points is the difference between those two pass rates over the 25 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.