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Get Started Free →Use when targeting 《当代财经》(Contemporary Finance and Economics — 江西财经大学主办的综合财经月刊, 双向匿名审稿, 不收审稿费/版面费且发稿酬, 摘要须含研究方法名、关键词含方法名, 文内引用同采“作者—出版年”制与“顺序编码制”) or deciding whether a Chinese econ/management manuscript fits this venue. Encodes the journal's fit, framing, house style, official-submission re-check, and desk-reject heuristics.
.claude/skills/brycewang-stanford-contemporary-finance-and-economics/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 44% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 73% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 29% | 0% |
《当代财经》由江西财经大学主办，是综合性财经月刊，适合财经理论、区域发展与企业金融研究。江西财大同时主办《江西财经大学学报》（slug：journal-of-jiangxi-university-of-finance-and-economics），两刊共用同一采编系统（cfejxufe.magtech.com.cn）、稿约高度相近——《当代财经》是面向全国的综合财经刊，校学报更偏校本综合，投稿时勿混淆两刊。
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。
comparative-economic-and-social-systems（《经济社会体制比较》） / contemporary-economy-of-japan（《现代日本经济》） / e-government（《电子政务》） / east-china-economic-management（《华东经济管理》）。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，从其中的官方来源锚点或同一主办/出版体系入口开始核验，并在回答中说明核验日期。校本综合定位更合适 → journal-of-jiangxi-university-of-finance-and-economics（《江西财经大学学报》，同校同系统）；会计审计专门稿 → accounting-and-economics-research。
text【匹配度】高 / 中 / 低（一句话理由） 【目标期刊】《当代财经》 【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/图表/数据等> 【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-22 | pass→pass | 18,339 | 17,429 | -5% | 1 | 1 | 0% | 2,086 | 3,417 | +64% | 0 | 0 | — |
case-01 | fail→fail | 31,208 | 28,587 | -8% | 1 | 1 | 0% | 3,409 | 4,661 | +37% | 0 | 0 | — |
case-02 | fail→pass | 27,691 | 17,500 | -37% | 1 | 1 | 0% | 2,956 | 3,635 | +23% | 0 | 0 | — |
case-03 | fail→fail | 30,002 | 114,859 | +283% | 1 | 1 | 0% | 3,363 | 3,949 | +17% | 0 | 0 | — |
case-04 | pass→pass | 23,953 | 17,740 | -26% | 1 | 1 | 0% | 2,713 | 3,518 | +30% | 0 | 0 | — |
case-05 | fail→fail | 33,612 | 24,383 | -27% | 1 | 1 | 0% | 3,365 | 4,047 | +20% | 0 | 0 | — |
case-06 | fail→pass | 23,249 | 19,230 | -17% | 1 | 1 | 0% | 2,424 | 3,483 | +44% | 0 | 0 | — |
case-07 | fail→pass | 18,770 | 15,487 | -17% | 1 | 1 | 0% | 1,780 | 3,072 | +73% | 0 | 0 | — |
case-08 | fail→pass | 27,513 | 23,885 | -13% | 1 | 1 | 0% | 2,921 | 3,812 | +31% | 0 | 0 | — |
case-09 | pass→pass | 16,287 | 14,624 | -10% | 1 | 1 | 0% | 1,959 | 2,890 | +48% | 0 | 0 | — |
case-23 | pass→pass | 22,508 | 25,924 | +15% | 1 | 1 | 0% | 3,189 | 4,488 | +41% | 0 | 0 | — |
case-10 | fail→pass | 28,798 | 21,521 | -25% | 1 | 1 | 0% | 2,850 | 3,663 | +29% | 0 | 0 | — |
case-11 | fail→fail | 29,437 | 19,877 | -32% | 1 | 1 | 0% | 2,914 | 3,629 | +25% | 0 | 0 | — |
case-12 | fail→pass | 30,716 | 20,205 | -34% | 1 | 1 | 0% | 3,199 | 3,844 | +20% | 0 | 0 | — |
case-13 | fail→pass | 30,924 | 27,556 | -11% | 1 | 1 | 0% | 3,223 | 4,256 | +32% | 0 | 0 | — |
case-14 | fail→pass | 24,231 | 17,283 | -29% | 1 | 1 | 0% | 3,399 | 3,221 | -5% | 0 | 0 | — |
case-15 | fail→pass | 26,019 | 23,914 | -8% | 1 | 1 | 0% | 2,637 | 4,160 | +58% | 0 | 0 | — |
case-16 | fail→fail | 19,691 | 24,363 | +24% | 1 | 1 | 0% | 2,662 | 4,004 | +50% | 0 | 0 | — |
case-17 | pass→pass | 29,490 | 27,805 | -6% | 1 | 1 | 0% | 2,811 | 4,231 | +51% | 0 | 0 | — |
case-18 | fail→pass | 31,687 | 39,056 | +23% | 1 | 1 | 0% | 2,987 | 4,086 | +37% | 0 | 0 | — |
case-19 | fail→fail | 26,485 | 24,034 | -9% | 1 | 1 | 0% | 2,829 | 3,749 | +33% | 0 | 0 | — |
case-20 | fail→fail | 25,055 | 28,076 | +12% | 1 | 1 | 0% | 2,687 | 4,540 | +69% | 0 | 0 | — |
case-21 | pass→pass | 37,450 | 42,750 | +14% | 1 | 1 | 0% | 4,341 | 6,159 | +42% | 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 +43 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
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.