AI-Trader Market Intel
HKUDS/AI-Trader
Reads AI-Trader's read-only market snapshots, grouped financial news and events board through its market-intel endpoints, for context before trading or posting.
Analyzes Northbound and Southbound Stock Connect flows between the mainland and Hong Kong, including quota use, sector allocation shifts and cross-border arbitrage signals.
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .claude/skills/hk-connect-flow && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .claude/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .agents/skills/hk-connect-flow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .agents/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .cursor/skills/hk-connect-flow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .cursor/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/hk-connect-flow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .gemini/skills/hk-connect-flow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .gemini/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .github/skills/hk-connect-flow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .github/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading hk-connect-flow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/hk-connect-flow .opencode/skills/hk-connect-flow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hk-connect-flow" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/hk-connect-flow into .opencode/skills/hk-connect-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-connect-flow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hk-connect-flowAnalyzes Northbound and Southbound Stock Connect flows between the mainland and Hong Kong, including quota use, sector allocation shifts and cross-border arbitrage signals.
The skill uses Shanghai and Shenzhen Connect flows as a real-time gauge of cross-border positioning. Northbound flow, foreign money buying A-shares, is treated as an institutional sentiment indicator, while Southbound flow shows mainland appetite for Hong Kong assets. A table lays out the four channels and what each measures, and notes a daily net buy quota where heavy utilization is read as a strong directional signal.
For Northbound flows it explains why they matter despite a small share of free-float market cap, gives a signal function keyed to daily net buy size, and tabulates typical sector allocation from consumer staples and financials to technology, healthcare and new energy. Shifts in sector weights are read as defensive or risk-on positioning. Cross-border arbitrage signals are part of the stated scope.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b1f6ce7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Stock Connect Flow Analysis loads about 2.8k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 627 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from HKUDS/Vibe-Trading at commit b1f6ce7, republished under its MIT licence (© HKUDS). 627 words, ~2,754 tokens.
.claude/skills/hk-connect-flow/SKILL.md (or your agent's skills folder).Analyze capital flows through the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect programs. Northbound flows (foreign capital into A-shares) are a key institutional sentiment indicator for the China market; Southbound flows (mainland capital into Hong Kong) reveal mainland investor preference for HK-listed assets. Together they provide a real-time cross-border capital positioning signal.
| Channel | Direction | What It Measures |
|---|---|---|
| Shanghai Connect Northbound | Foreign → A-shares (SSE) | Foreign institutional A-share appetite |
| Shenzhen Connect Northbound | Foreign → A-shares (SZSE) | Foreign institutional A-share appetite (growth bias) |
| Shanghai Connect Southbound | Mainland → HK (HKEX) | Mainland capital HK allocation |
| Shenzhen Connect Southbound | Mainland → HK (HKEX) | Mainland capital HK allocation |
Daily quota: Each channel has a daily net buy quota (~RMB 52B / HKD 42B). Quota utilization >50% = strong directional signal.
Why Northbound matters:
Northbound signal framework:
# Daily Northbound net buy signals
def northbound_signal(daily_net_buy_rmb_billion):
if daily_net_buy_rmb_billion > 10:
return "strong_foreign_buying" # Very large single-day inflow
elif daily_net_buy_rmb_billion > 5:
return "moderate_foreign_buying"
elif daily_net_buy_rmb_billion > 0:
return "mild_foreign_buying"
elif daily_net_buy_rmb_billion > -5:
return "mild_foreign_selling"
elif daily_net_buy_rmb_billion > -10:
return "moderate_foreign_selling"
else:
return "strong_foreign_selling" # Panic outflow
# Cumulative flow trend (more important than single-day)
def northbound_trend(flows_20d, flows_5d):
cum_20d = sum(flows_20d)
cum_5d = sum(flows_5d)
if cum_20d > 30 and cum_5d > 10:
return "sustained_accumulation" # Strong bullish for A-shares
elif cum_20d < -30 and cum_5d < -10:
return "sustained_distribution" # Bearish for A-shares
elif cum_20d > 0 and cum_5d < 0:
return "accumulation_pausing" # Watch for reversal
elif cum_20d < 0 and cum_5d > 0:
return "distribution_pausing" # Possible bottom formationNorthbound sector allocation patterns:
| Sector Preference | Typical Holdings | Signal |
|---|---|---|
| Consumer staples (Moutai, dairy) | 30-35% of holdings | Core allocation, low turnover |
| Financials (banks, insurance) | 15-20% | Cyclical allocation, rate-sensitive |
| Technology (semiconductors, software) | 10-15% | Growth allocation, high turnover |
| Healthcare (CXO, innovative pharma) | 8-12% | Structural growth bet |
| New energy (EV, solar) | 5-10% | Thematic, high volatility |
Sector rotation signal:
Why Southbound matters:
Southbound signal framework:
# Southbound focus areas
southbound_targets = {
"tech_platforms": ["0700.HK", "9988.HK", "3690.HK", "9618.HK"],
"high_dividend": ["0939.HK", "1398.HK", "0883.HK", "2628.HK"],
"ah_discount": [], # Dynamically calculated based on AH premium index
}
def southbound_signal(daily_net_buy_hkd_billion):
if daily_net_buy_hkd_billion > 5:
return "strong_mainland_buying"
elif daily_net_buy_hkd_billion > 2:
return "moderate_mainland_buying"
elif daily_net_buy_hkd_billion < -2:
return "mainland_selling"
else:
return "neutral"Southbound investment patterns:
The Hang Seng AH Premium Index (HSAHP) tracks the average premium of A-shares over their H-share counterparts for dual-listed companies.
# AH Premium interpretation
ah_premium_index = 130 # A-shares trade 30% above H-shares on average
if ah_premium_index > 140:
signal = "extreme_ah_premium"
action = "favor H-shares over A-shares for dual-listed names"
elif ah_premium_index > 125:
signal = "elevated_ah_premium"
action = "mild H-share preference"
elif ah_premium_index < 110:
signal = "compressed_ah_premium"
action = "A-shares relatively cheap vs H; unusual, investigate"
else:
signal = "normal_range"Multi-dimensional scoring:
connect_score = {
"northbound_flow": 0, # -2 to +2: 20-day cumulative NB flow direction
"northbound_breadth": 0, # -2 to +2: number of NB top-10 holdings being added to
"southbound_flow": 0, # -2 to +2: 20-day cumulative SB flow direction
"ah_premium": 0, # -2 to +2: AH premium level (high = favor HK)
"fx_direction": 0, # -2 to +2: CNY strength (strong CNY = NB inflow support)
}
# Total range: -10 to +10
# > +5: strong cross-border risk-on, favor A-shares
# +2 to +5: mild bullish
# -2 to +2: neutral / mixed
# < -2: cross-border risk-off, foreign selling A-shares
# < -5: strong risk-off, likely FX-driven# Daily Southbound net buy — 港股通(沪)/(深) channels, unit 100M HKD (亿).
# Eastmoney datacenter primary (cross-verified against HKEX official daily
# statistics); HKEX official report as keyless fallback (latest day snapshot):
get_southbound_flow(lookback_days=20)⚠️ Do NOT read daily southbound flow from tushare
moneyflow_hsgt: itsggt_ss/ggt_sz/south_moneyfields now carry the cumulative net-bought stock (万亿-scale, near-constant day to day), not daily flow.
import tushare as ts
pro = ts.pro_api()
# Daily Northbound/Southbound aggregate flows
df = pro.moneyflow_hsgt(start_date="20260101", end_date="20260330")
# Columns: trade_date, ggt_ss (Shanghai SB), ggt_sz (Shenzhen SB),
# hgt (Shanghai NB), sgt (Shenzhen NB), north_money, south_money
# Top 10 Northbound active stocks
df = pro.hsgt_top10(trade_date="20260328", market_type="1") # 1=Shanghai, 3=Shenzhen
# Columns: trade_date, ts_code, name, close, change, rank, market_type,
# amount (trade amount), net_amount (net buy), buy, sellimport yfinance as yf
# HK-listed stocks price data
tencent = yf.download("0700.HK", start="2025-01-01", end="2026-03-30", progress=False)
alibaba = yf.download("9988.HK", start="2025-01-01", end="2026-03-30", progress=False)
# AH Premium Index (proxy via Hang Seng indices)
hsi = yf.download("^HSI", start="2025-01-01", end="2026-03-30", progress=False)| Metric | Source | Frequency | Threshold |
|---|---|---|---|
| Northbound daily net buy | Tushare / HKEX | Daily | >RMB 5B = significant |
| Northbound 20-day cumulative | Calculated | Daily | >RMB 30B = trend |
| Southbound daily net buy | get_southbound_flow (Eastmoney ↔ HKEX) | Daily | >HKD 3B = significant |
| AH Premium Index | Hang Seng | Daily | >130 = H-share value |
| Quota utilization | HKEX | Intraday | >50% = strong conviction |
| NB Top 10 concentration | Tushare | Daily | Top 3 names >50% = concentrated bet |
## Stock Connect Flow Analysis — [Date Range]
### Northbound (Foreign → A-shares)
- **20-day cumulative**: [+/- RMB X.XB]
- **5-day trend**: [accelerating / decelerating / reversing]
- **Daily average**: [RMB X.XB]
- **Quota utilization**: [X%]
- **Signal**: [sustained accumulation / distribution / neutral]
### Northbound Sector Allocation
- **Adding to**: [sector1 (top names), sector2]
- **Reducing**: [sector1, sector2]
- **Rotation direction**: [defensive / cyclical / growth]
### Southbound (Mainland → HK)
- **20-day cumulative**: [+/- HKD X.XB]
- **Focus names**: [Tencent, Alibaba, bank names]
- **Driver**: [dividend yield / tech allocation / AH arbitrage]
### AH Premium
- **Current index**: [XXX]
- **Historical percentile**: [X%]
- **Implication**: [favor H-shares / neutral / favor A-shares]
### Composite Signal
| Dimension | Score (-2~+2) | Basis |
|-----------|---------------|-------|
| NB flow | +1 | Cumulative +RMB 15B over 20 days |
| NB breadth | +2 | Adding across 8 of top 10 |
| SB flow | 0 | Flat |
| AH premium | -1 | AH premium at 135 (H relatively cheap) |
| FX | +1 | CNY stable/strengthening |
### Cross-Market Implication
- **A-share outlook**: [bullish / neutral / bearish] (NB perspective)
- **HK outlook**: [bullish / neutral / bearish] (SB + AH perspective)
- **Arbitrage**: [AH premium trade: buy H / sell A for dual-listed names]© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in agent/src/skills/hk-connect-flow of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit b1f6ce7
Stock Connect Flow Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Stock Connect Flow Analysis this skillHKUDS/Vibe-Trading | 35k | — | ~2.8k | Automated safety check: Pass | MIT | |
| AI-Trader Market IntelHKUDS/AI-Trader | 23k | — | ~1.1k | Automated safety check: Pass | None | |
| Stock Deep Analysis Workflowwbh604/UZI-Skill | 7.1k | — | ~9.1k | Automated safety check: Notes | MIT | |
| Zhengxi Fund Manager Views Librarylyra81604/zhengxi-views | 1.8k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Supply Chain Bottleneck Hunterxbtlin/ai-berkshire | 17k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Company Article Seriesxbtlin/ai-berkshire | 17k | — | ~2k | Automated safety check: Pass | MIT |
HKUDS/AI-Trader
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wbh604/UZI-Skill
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HKUDS/Vibe-Trading
Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news.
HKUDS/Vibe-Trading
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HKUDS/Vibe-Trading
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HKUDS/Vibe-Trading
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HKUDS/Vibe-Trading
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HKUDS/Vibe-Trading
Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting.
Categories
Analyzes Northbound and Southbound Stock Connect flows between the mainland and Hong Kong, including quota use, sector allocation shifts and cross-border arbitrage signals. The skill uses Shanghai and Shenzhen Connect flows as a real-time gauge of cross-border positioning. Northbound flow, foreign money buying A-shares, is treated as an institutional sentiment indicator, while Southbound flow shows mainland appetite for Hong Kong assets.
Stock Connect Flow Analysis fits situations like: reading Northbound flows as a sentiment indicator for A-shares; tracking Southbound flows into Hong Kong stocks; watching sector allocation shifts by foreign investors; looking for cross-border arbitrage signals between A and H listings.
Run `npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a claude-code`. Or copy the skill folder (agent/src/skills/hk-connect-flow in HKUDS/Vibe-Trading) into .claude/skills/hk-connect-flow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a codex`. Or copy the skill folder (agent/src/skills/hk-connect-flow in HKUDS/Vibe-Trading) into .agents/skills/hk-connect-flow in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill hk-connect-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hk-connect-flow, .gemini/skills/hk-connect-flow, .github/skills/hk-connect-flow and .opencode/skills/hk-connect-flow in your project.
SKILL.md names no scripts, command-line tools or credentials: Stock Connect Flow Analysis is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Stock Connect Flow Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Stock Connect Flow Analysis: AI-Trader Market Intel (HKUDS/AI-Trader, 23k stars), Stock Deep Analysis Workflow (wbh604/UZI-Skill, 7.1k stars), Zhengxi Fund Manager Views Library (lyra81604/zhengxi-views, 1.8k stars) and Supply Chain Bottleneck Hunter (xbtlin/ai-berkshire, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,097 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.