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Get Started Free →Use when targeting 《华东经济管理》(East China Economic Management — 中共安徽省委党校主办的经济管理综合月刊, 安徽合肥, CSSCI) or deciding whether a Chinese econ/management manuscript fits this venue. Encodes the journal's fit, framing, review timeline, house style, official-submission re-check, and desk-reject heuristics.
.claude/skills/brycewang-stanford-east-china-economic-management/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | 62% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 37% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 4% | 0% |
《华东经济管理》由中共安徽省委党校主办（编辑部在安徽合肥），是经济管理综合学术月刊，属 CSSCI 层级。覆盖区域发展（华东/长三角）、产业升级与城市群、企业管理、创新创业与数字化转型、开放经济与绿色发展等。它强调实践相关性，但要求把地方经验上升为可讨论的一般机制。注意：刊名带"华东"，但主办方是安徽省委党校而非上海/江浙机构，勿据刊名臆断主办单位。
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。
contemporary-finance-and-economics（《当代财经》） / e-government（《电子政务》） / economic-aspects（《经济纵横》） / economic-perspectives（《经济学动态》）。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。管理理论强转 management-review（《管理评论》）/ chinese-journal-of-management（《管理学报》）；区域/城市经济强转 shanghai-journal-of-economics（《上海经济研究》）；经管交叉政策实证转 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】《华东经济管理》（中共安徽省委党校主办） 【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/摘要200字/关键词/参考文献/版面费等> 【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→fail | 37,611 | 23,793 | -37% | 1 | 1 | 0% | 4,249 | 4,403 | +4% | 0 | 0 | — |
case-02 | fail→fail | 28,223 | 112,359 | +298% | 1 | 1 | 0% | 2,824 | 3,217 | +14% | 0 | 0 | — |
case-03 | fail→fail | 28,507 | 29,425 | +3% | 1 | 1 | 0% | 3,221 | 4,942 | +53% | 0 | 0 | — |
case-04 | pass→pass | 18,173 | 11,976 | -34% | 1 | 1 | 0% | 1,641 | 2,550 | +55% | 0 | 0 | — |
case-05 | fail→pass | 15,104 | 16,224 | +7% | 1 | 1 | 0% | 2,184 | 3,546 | +62% | 0 | 0 | — |
case-06 | fail→fail | 30,743 | 22,331 | -27% | 1 | 1 | 0% | 3,133 | 4,041 | +29% | 0 | 0 | — |
case-07 | pass→pass | 24,424 | 19,510 | -20% | 1 | 1 | 0% | 2,679 | 3,588 | +34% | 0 | 0 | — |
case-08 | fail→pass | 24,082 | 21,743 | -10% | 1 | 1 | 0% | 2,552 | 3,489 | +37% | 0 | 0 | — |
case-09 | pass→pass | 18,621 | 16,586 | -11% | 1 | 1 | 0% | 1,735 | 2,864 | +65% | 0 | 0 | — |
case-10 | pass→pass | 24,368 | 26,126 | +7% | 1 | 1 | 0% | 2,278 | 4,188 | +84% | 0 | 0 | — |
case-11 | fail→pass | 17,948 | 16,708 | -7% | 1 | 1 | 0% | 2,661 | 3,189 | +20% | 0 | 0 | — |
case-12 | fail→pass | 32,871 | 11,372 | -65% | 1 | 1 | 0% | 3,348 | 3,312 | -1% | 0 | 0 | — |
case-13 | fail→pass | 21,807 | 9,681 | -56% | 1 | 1 | 0% | 2,148 | 2,233 | +4% | 0 | 0 | — |
case-14 | fail→fail | 18,794 | 7,233 | -62% | 1 | 1 | 0% | 2,127 | 2,526 | +19% | 0 | 0 | — |
case-15 | fail→pass | 15,734 | 8,113 | -48% | 1 | 1 | 0% | 1,559 | 2,597 | +67% | 0 | 0 | — |
case-16 | pass→pass | 25,390 | 26,517 | +4% | 1 | 1 | 0% | 2,565 | 4,254 | +66% | 0 | 0 | — |
case-17 | pass→pass | 21,908 | 15,917 | -27% | 1 | 1 | 0% | 2,230 | 2,720 | +22% | 0 | 0 | — |
case-18 | pass→pass | 22,337 | 11,899 | -47% | 1 | 1 | 0% | 2,183 | 2,344 | +7% | 0 | 0 | — |
case-19 | fail→pass | 18,659 | 10,160 | -46% | 1 | 1 | 0% | 2,073 | 2,281 | +10% | 0 | 0 | — |
case-20 | pass→pass | 14,836 | 10,610 | -28% | 1 | 1 | 0% | 1,281 | 2,728 | +113% | 0 | 0 | — |
case-21 | fail→fail | 26,061 | 31,470 | +21% | 1 | 1 | 0% | 4,274 | 4,674 | +9% | 0 | 0 | — |
case-22 | fail→pass | 64,814 | 40,448 | -38% | 1 | 1 | 0% | 8,231 | 6,268 | -24% | 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. 22 cases were attempted. The headline lift of +36 percentage points is the difference between those two pass rates over the 22 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.