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Get Started Free →Use when targeting 《经济管理》(Business Management Journal — 中国社会科学院工业经济研究所主办的工商管理学术月刊, 不收费) or deciding whether a Chinese management manuscript fits this venue. Encodes the journal's fit, framing, fee-free policy, house style, official-submission re-check, and desk-reject heuristics.
.claude/skills/brycewang-stanford-business-management-journal/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 50% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 48% | 0% |
《经济管理》由中国社会科学院工业经济研究所主办，是以工商管理为主的学术月刊。主要刊载企业经济、企业改革、战略管理、人力资源管理、市场营销、公司金融与财务会计、旅游管理等方向的论文，兼顾公共（经济）管理与公共政策。它面向工商管理研究的旗舰梯队，比一般地方经管刊更看重理论贡献与方法规范，但相比《管理世界》更聚焦企业/工商管理层面的学术问题。注意不要与《经济与管理研究》（slug：research-on-economics-and-management，首都经贸大学）混淆。
这个 skill 是定位 / 选刊 / 改写框架工具，不替代该刊最新官方投稿须知。正式投稿前必须重新核对官网、采编系统或编辑部发布的最新模板。
auditing-research（《审计研究》） / bulletin-of-chinese-academy-of-sciences（《中国科学院院刊》） / china-accounting-review（《会计评论》） / china-economic-quarterly（《经济学（季刊）》）。若这些刊物的读者对象更贴近，不要因为名称、地区或变量相似而强行投本刊。../../resources/source-basis.md 和 ../../resources/official-source-map.md，从官方来源锚点开始核验，并在回答中说明核验日期。管理旗舰实践稿转 management-world（《管理世界》）；理论构念更强转 nankai-business-review（《南开管理评论》）/ chinese-journal-of-management（《管理学报》）；偏经济与管理交叉的政策实证转 research-on-economics-and-management（《经济与管理研究》）。
text【匹配度】高 / 中 / 低（一句话理由） 【目标期刊】《经济管理》（中国社科院工经所主办） 【选题标签】<最贴近的 2-3 个主题> 【方法证据】<当前方法是否够本刊标准> 【最大风险】<最可能导致退稿的一点> 【需核验官方要求】<投稿系统/匿名/摘要/关键词/参考文献等> 【改投建议】<若不匹配，给出更合适期刊>
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 27,137 | 18,860 | -31% | 1 | 1 | 0% | 3,054 | 3,615 | +18% | 0 | 0 | — |
case-02 | fail→pass | 31,634 | 23,622 | -25% | 1 | 1 | 0% | 3,767 | 4,075 | +8% | 0 | 0 | — |
case-03 | fail→fail | 28,493 | 30,878 | +8% | 1 | 1 | 0% | 3,058 | 5,076 | +66% | 0 | 0 | — |
case-04 | fail→pass | 19,379 | 23,802 | +23% | 1 | 1 | 0% | 2,608 | 3,901 | +50% | 0 | 0 | — |
case-13 | fail→pass | 33,572 | 29,680 | -12% | 1 | 1 | 0% | 3,640 | 4,845 | +33% | 0 | 0 | — |
case-05 | pass→pass | 21,354 | 22,256 | +4% | 1 | 1 | 0% | 2,820 | 3,804 | +35% | 0 | 0 | — |
case-06 | pass→pass | 36,395 | 29,653 | -19% | 1 | 1 | 0% | 3,626 | 4,328 | +19% | 0 | 0 | — |
case-07 | pass→pass | 26,920 | 17,404 | -35% | 1 | 1 | 0% | 2,777 | 3,488 | +26% | 0 | 0 | — |
case-08 | fail→fail | 17,348 | 25,946 | +50% | 1 | 1 | 0% | 2,949 | 4,555 | +54% | 0 | 0 | — |
case-09 | fail→fail | 50,783 | 53,554 | +5% | 1 | 1 | 0% | 6,224 | 9,469 | +52% | 0 | 0 | — |
case-10 | pass→pass | 31,529 | 34,134 | +8% | 1 | 1 | 0% | 3,315 | 5,090 | +54% | 0 | 0 | — |
case-11 | fail→pass | 25,751 | 27,756 | +8% | 1 | 1 | 0% | 2,860 | 4,222 | +48% | 0 | 0 | — |
case-12 | fail→fail | 30,558 | 18,210 | -40% | 1 | 1 | 0% | 3,220 | 3,773 | +17% | 0 | 0 | — |
case-14 | pass→pass | 32,073 | 24,915 | -22% | 1 | 1 | 0% | 3,249 | 3,889 | +20% | 0 | 0 | — |
case-15 | fail→pass | 28,523 | 18,259 | -36% | 1 | 1 | 0% | 2,837 | 3,832 | +35% | 0 | 0 | — |
case-16 | fail→pass | 29,546 | 25,967 | -12% | 1 | 1 | 0% | 3,349 | 4,182 | +25% | 0 | 0 | — |
case-17 | pass→pass | 56,573 | 31,655 | -44% | 1 | 1 | 0% | 3,431 | 4,829 | +41% | 0 | 0 | — |
case-18 | fail→pass | 28,836 | 26,862 | -7% | 1 | 1 | 0% | 3,177 | 4,585 | +44% | 0 | 0 | — |
case-19 | fail→fail | 34,191 | 29,078 | -15% | 1 | 1 | 0% | 3,688 | 4,510 | +22% | 0 | 0 | — |
case-20 | fail→pass | 18,861 | 10,529 | -44% | 1 | 1 | 0% | 2,072 | 3,138 | +51% | 0 | 0 | — |
case-21 | fail→pass | 22,004 | 16,808 | -24% | 1 | 1 | 0% | 2,405 | 3,580 | +49% | 0 | 0 | — |
case-22 | pass→pass | 27,121 | 23,237 | -14% | 1 | 1 | 0% | 2,891 | 4,400 | +52% | 0 | 0 | — |
case-23 | fail→pass | 32,574 | 19,257 | -41% | 1 | 1 | 0% | 3,435 | 3,559 | +4% | 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. 23 cases were attempted. The headline lift of +48 percentage points is the difference between those two pass rates over the 23 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.