llmquant-etfs
Router skill for LLMQuant ETFs workflows. Use when the user needs ETF holdings, overlap, concentration, issuer snapshot, or theme exposure analysis.
npx skills add LLMQuant/skills --skill llmquant-etfs --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLMQuant ETFs This category routes ETF analysis tasks to holdings and exposure workflows. ## Routing Rules 1. Identify the ETF tickers, comparison universe, as-of date, and required output. 2. Select the closest workflow below. 3. Open only the selected workflow and required local resources. 4. Use LLMQuant Data for holdings, fund metadata, prices, and coverage notices. 5. Report holdings `as_of_date`, source, stale flags, unsupported tickers, and missing fields. ## Workflow Index | User intent | Workflow | |---|---| | Compare ETF holdings, overlap, concentration, and exposure. | [`workflows/etf-overlap-report.md`](workflows/etf-overlap-report.md) | ## LLMQuant Data Contract Prefer LLMQuant Data when available. The workflows may need these data capabilities: - Look up ETF identity, issuer, category, expense ratio, market price, NAV, and coverage status. - Retrieve ETF holdings with weights, identifiers, sectors, countries, source, and holdings as-of date. - Compare ETF holdings overlap, top-name concentration, and exposure breakdowns. - Retrieve price history, fund-flow history, and sector exposure history when available. Fallback: - If holdings coverage is unsupported, report th
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-etfs skill do?
Router skill for LLMQuant ETFs workflows. Use when the user needs ETF holdings, overlap, concentration, issuer snapshot, or theme exposure analysis.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-etfs --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 LLMQuant/skills, a repository with 183 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.