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Get Started Free →Track and analyze cross-border capital flows between mainland China and Hong Kong via Stock Connect (沪港通/深港通). Monitor northbound (北向资金) and southbound (南向资金) flows, identify trending stocks, and analyze institutional positioning. Use when user asks about 北向资金, 南向资金, 外资动向, Stock Connect flows, or cross-border investment trends.
.claude/skills/nicepkg-cross-border-flow-tracker/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | 78% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 64% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 86% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 59% | 0% |
Monitor and analyze capital flows between mainland China and Hong Kong through Stock Connect programs. Track northbound capital (北向资金 - foreign money into A-shares) and southbound capital (南向资金 - mainland money into HK stocks) to identify investment trends and institutional positioning.
Real-time & Daily Data:
Search Strategy:
markdown## 今日跨境资金流向 ### 北向资金 (Northbound) | 指标 | 数值 | |-----|------| | 沪股通净流入 | ¥XX.XX亿 | | 深股通净流入 | ¥XX.XX亿 | | 北向合计净流入 | ¥XX.XX亿 | | 本周累计 | ¥XX.XX亿 | | 本月累计 | ¥XX.XX亿 | | 年初至今 | ¥XX.XX亿 | ### 南向资金 (Southbound) | 指标 | 数值 | |-----|------| | 港股通(沪)净流入 | HK$XX.XX亿 | | 港股通(深)净流入 | HK$XX.XX亿 | | 南向合计净流入 | HK$XX.XX亿 | | 本周累计 | HK$XX.XX亿 | | 本月累计 | HK$XX.XX亿 |
Top Holdings Changes:
markdown### 北向资金持股变动 Top 10 #### 增持榜 | 股票 | 持股数量 | 变动数量 | 变动比例 | 持股市值 | |-----|---------|---------|---------|---------| | | | +XXX万股 | +X.XX% | ¥XX亿 | #### 减持榜 | 股票 | 持股数量 | 变动数量 | 变动比例 | 持股市值 | |-----|---------|---------|---------|---------| | | | -XXX万股 | -X.XX% | ¥XX亿 |
Individual Stock Query:
markdown### [股票名称] 北向资金持仓分析 | 指标 | 数值 | |-----|------| | 北向持股数量 | XXX万股 | | 占流通股比例 | X.XX% | | 持股市值 | ¥XX.XX亿 | | 近5日变动 | +/-XXX万股 | | 近20日变动 | +/-XXX万股 | | 近60日变动 | +/-XXX万股 | #### 持股趋势 [描述近期增减持趋势和可能原因]
Top Southbound Holdings:
markdown### 南向资金持股 Top 20 | 排名 | 股票 | 持股数量 | 占比 | 持股市值 | 5日变动 | |-----|-----|---------|-----|---------|--------| | 1 | 腾讯控股 | XX亿股 | X.X% | XXXX亿 | +/-X% | | 2 | ... | | | | |
Weekly/Monthly Patterns:
Seasonal Patterns:
markdown### 北向资金行业配置 | 行业 | 持仓市值 | 占比 | 周变动 | 月变动 | |-----|---------|-----|-------|-------| | 食品饮料 | ¥XXXX亿 | XX% | +X% | +X% | | 电力设备 | ¥XXXX亿 | XX% | -X% | +X% | | 银行 | ¥XXXX亿 | XX% | +X% | -X% | | 医药生物 | ¥XXXX亿 | XX% | +X% | +X% | | ... | | | | |
markdown# 跨境资金日报 [日期] ## 市场概览 [今日A股/港股表现简述] ## 北向资金 - 今日净流入: ¥XX.XX亿 - 市场解读: [分析流入/流出原因] ### 重点增持 1. [股票1] +XX万股，[可能原因] 2. [股票2] +XX万股，[可能原因] ### 重点减持 1. [股票1] -XX万股，[可能原因] ## 南向资金 - 今日净流入: HK$XX.XX亿 - 重点标的: [列出主要买入股票] ## 后市展望 [基于资金流向的短期市场判断]
markdown# [股票名称] 外资持仓分析 ## 北向持仓概览 [基本持仓数据表格] ## 持仓趋势 [图表描述或趋势分析] ## 与股价关系 [北向增减持与股价走势的相关性分析] ## 机构观点 [如有，列出相关外资机构的评级] ## 投资建议 [基于外资动向的操作建议]
日常查询:
个股查询:
趋势分析:
信号分析:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→fail | 23,158 | 6,684 | -71% | 1 | 1 | 0% | 3,261 | 2,226 | -32% | 0 | 0 | — |
case-01 | fail→fail | 19,954 | 12,693 | -36% | 1 | 1 | 0% | 3,122 | 2,349 | -25% | 0 | 0 | — |
case-03 | pass→pass | 10,154 | 8,514 | -16% | 1 | 1 | 0% | 1,839 | 3,418 | +86% | 0 | 0 | — |
case-04 | pass→pass | 21,768 | 15,823 | -27% | 1 | 1 | 0% | 3,013 | 4,142 | +37% | 0 | 0 | — |
case-05 | pass→pass | 19,070 | 18,806 | -1% | 1 | 1 | 0% | 2,645 | 4,211 | +59% | 0 | 0 | — |
case-06 | pass→pass | 19,490 | 22,463 | +15% | 1 | 1 | 0% | 2,527 | 4,787 | +89% | 0 | 0 | — |
case-07 | pass→pass | 11,436 | 10,522 | -8% | 1 | 1 | 0% | 1,936 | 3,463 | +79% | 0 | 0 | — |
case-08 | pass→pass | 17,808 | 12,763 | -28% | 1 | 1 | 0% | 3,153 | 4,378 | +39% | 0 | 0 | — |
case-09 | pass→pass | 17,682 | 18,639 | +5% | 1 | 1 | 0% | 3,181 | 5,096 | +60% | 0 | 0 | — |
case-10 | pass→pass | 14,646 | 15,844 | +8% | 1 | 1 | 0% | 2,511 | 4,456 | +77% | 0 | 0 | — |
case-11 | fail→fail | 20,462 | 19,356 | -5% | 1 | 1 | 0% | 3,032 | 4,689 | +55% | 0 | 0 | — |
case-12 | pass→pass | 13,630 | 10,607 | -22% | 1 | 1 | 0% | 1,871 | 3,288 | +76% | 0 | 0 | — |
case-13 | fail→pass | 14,940 | 15,970 | +7% | 1 | 1 | 0% | 2,492 | 4,440 | +78% | 0 | 0 | — |
case-14 | pass→pass | 9,493 | 7,530 | -21% | 1 | 1 | 0% | 1,373 | 3,008 | +119% | 0 | 0 | — |
case-15 | pass→pass | 20,409 | 20,988 | +3% | 1 | 1 | 0% | 2,739 | 4,652 | +70% | 0 | 0 | — |
case-16 | fail→fail | 20,438 | 21,654 | +6% | 1 | 1 | 0% | 2,942 | 5,033 | +71% | 0 | 0 | — |
case-17 | pass→pass | 19,107 | 16,970 | -11% | 1 | 1 | 0% | 2,533 | 3,931 | +55% | 0 | 0 | — |
case-18 | fail→pass | 10,648 | 4,053 | -62% | 1 | 1 | 0% | 1,553 | 2,548 | +64% | 0 | 0 | — |
case-19 | pass→pass | 11,244 | 11,853 | +5% | 1 | 1 | 0% | 1,637 | 3,683 | +125% | 0 | 0 | — |
case-20 | pass→pass | 22,347 | 22,150 | -1% | 1 | 1 | 0% | 3,249 | 4,786 | +47% | 0 | 0 | — |
case-21 | pass→pass | 18,437 | 15,048 | -18% | 1 | 1 | 0% | 2,946 | 4,324 | +47% | 0 | 0 | — |
case-22 | pass→pass | 17,612 | 18,978 | +8% | 1 | 1 | 0% | 2,887 | 4,619 | +60% | 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, and 20 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +9 percentage points is the difference between those two pass rates over the 20 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.