Agent skill · Databases

longbridge-etf-flow

US ETF capital-flow analysis via Longbridge Securities — tracks institutional money migration via ETF creation/redemption changes, sector breadth signals, and thematic momentum. Analyses major SPDR sector ETFs (XLK / XLF / XLE / XLV etc.) for net inflow / outflow to gauge industry rotation and risk-appetite shifts. Triggers: "ETF资金流", "ETF流向", "美国ETF", "板块ETF", "XLK", "XLF", "XLE", "机构资金迁移", "行业轮动信号", "ETF資金流", "ETF流向", "美國ETF", "板塊ETF", "機構資金遷移", "ETF flow", "US ETF flow", "sector ETF", "SPDR", "institutional flow", "sector rotation signal", "ETF inflow outflow", "fund flow".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-etf-flow --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-etf-flow/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-etf-flow US ETF capital-flow analysis — sector rotation signals from ETF inflows and outflows. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger on prompts asking about: - ETF-level capital flows — *"XLK 资金流向"*, *"SPDR ETF flow"*, *"哪个板块 ETF 资金在流入"* - Sector rotation signals via ETFs — *"行业轮动信号"*, *"sector rotation signal"* - Risk appetite from ETF volume — *"避险情绪"*, *"risk-on / risk-off via ETF"* - Thematic momentum — *"科技 ETF 动量"*, *"tech ETF momentum"* For individual stock capital flow defer to `longbridge-capital-flow`. For index constituents defer to `longbridge-constituent`. ## Common sector ETF reference | Sector | ETF | 板块(简体) | 板塊(繁體) | |--------|-----|------------|------------| | Technology | XLK.US | 科技 | 科技 | | Financials | XLF.US | 金融 | 金融 | | Energy | XLE.US | 能源 | 能源 | | Health Care | XLV.US | 医疗 | 醫療 | | Consumer Disc. | XLY.US | 非必需消费 | 非必需消費 | | Consumer Staples | XLP.US | 必需消费 | 必需消費 | | Industrials | XLI.US | 工业 | 工業 | | Materials | XLB.US | 材料 | 材料 | | Real Estate | XLRE.US | 房地产 | 房地產 | | Utilities | XLU.US | 公用事业 | 公用事業 | | Communication | XLC.US | 通信 | 通信 | > If

What's inside
Steps it walks through
  1. When to use
  2. Common sector ETF reference
  3. Workflow
  4. CLI
  5. Output
  6. Error handling
  7. MCP fallback
  8. Related skills
  9. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Real-time quote + volume
longbridge quote <ETF_SYMBOL> --format json
Recent price + volume history (20 trading days)
longbridge kline <ETF_SYMBOL> --period day --count 20 --format json
Intraday capital flow
longbridge capital <ETF_SYMBOL> --format json
More from claude-skill-registry
All skills →
About this skill
What does the longbridge-etf-flow skill do?

US ETF capital-flow analysis via Longbridge Securities — tracks institutional money migration via ETF creation/redemption changes, sector breadth signals, and thematic momentum. Analyses major SPDR sector ETFs (XLK / XLF / XLE / XLV etc.) for net inflow / outflow to gauge industry rotation and risk-appetite shifts. Triggers: "ETF资金流", "ETF流向", "美国ETF", "板块ETF", "XLK", "XLF", "XLE", "机构资金迁移", "行业轮动信号", "ETF資金流", "ETF流向", "美國ETF", "板塊ETF", "機構資金遷移", "ETF flow", "US ETF flow", "sector ETF", "SPDR", "institutional flow", "sector rotation signal", "ETF inflow outflow", "fund flow".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-etf-flow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going