llmquant-rates-fx
Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence, FX carry, real-rate, dollar, or cross-currency analysis.
npx skills add LLMQuant/skills --skill llmquant-rates-fx --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 Rates FX This category routes rates and foreign-exchange workflows for curve analysis, central-bank divergence, and FX carry. ## Routing Rules 1. Identify currencies, countries, curve points, instrument proxy, horizon, and decision type. 2. Select the closest workflow below. 3. Open only that workflow and any referenced local resources. 4. Use LLMQuant Data for yield curves, policy rates, inflation, growth, FX prices, carry, volatility, credit, commodities, and macro context. 5. Report observation dates, price timestamps, policy dates, curve tenors, stale notices, and missing inputs. ## Workflow Index | User intent | Workflow | |---|---| | Analyze yield curve shape, duration exposure, and curve trades. | [`workflows/yield-curve-trade-lens.md`](workflows/yield-curve-trade-lens.md) | | Compare central-bank paths and macro divergence across countries. | [`workflows/central-bank-divergence.md`](workflows/central-bank-divergence.md) | | Build an FX carry, momentum, valuation, and risk dashboard. | [`workflows/fx-carry-dashboard.md`](workflows/fx-carry-dashboard.md) | ## LLMQuant Data Contract Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Routing Rules
- Workflow Index
- LLMQuant Data Contract
What does the llmquant-rates-fx skill do?
Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence, FX carry, real-rate, dollar, or cross-currency analysis.
How do I install it?
Run `npx skills add LLMQuant/skills --skill llmquant-rates-fx --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.