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/fixed-income-context

Rates and credit view via ETF proxies (SHV, SHY, IEF, TLT, TIP, LQD, HYG, AGG). Reports returns across 1/5/20/60/120 day windows, price percentile vs trailing year, HYG-LQD credit spread delta and TLT-IEF duration spread delta, plus HYG-benchmark correlation. Derives a regime

From plugin
quant-garage
761 skills
Install
$ npx -y skills add rgourley/quant-garage --skill fixed-income-context --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/fixed-income-context

Context preview

The summary Claude sees to decide when to auto-load this skill.

Rates and credit view via ETF proxies (SHV, SHY, IEF, TLT, TIP, LQD, HYG, AGG). Reports returns across 1/5/20/60/120 day windows, price percentile vs trailing year, HYG-LQD credit spread delta and TLT-IEF duration spread delta, plus HYG-benchmark correlation. Derives a regime

SKILL.md

fixed-income-context.SKILL.md
name: fixed-income-context
description: Rates and credit view via ETF proxies (SHV, SHY, IEF, TLT, TIP, LQD, HYG, AGG). Reports returns across 1/5/20/60/120 day windows, price percentile vs trailing year, HYG-LQD credit spread delta and TLT-IEF duration spread delta, plus HYG-benchmark correlation. Derives a regime label (risk_off, credit_stress, goldilocks, reflation, rate_pressure, neutral). Every equity valuation implicitly assumes something about rates; this skill closes the equity-only gap without needing FRED.

fixed-income-context

You hand over nothing. The skill returns the rates and credit picture via a fixed panel of ETF proxies plus derived spread reads and a plain-English regime label.

ETF proxies rather than raw yields so the whole thing runs on any Massive Stocks plan. When you want actual yields, wire in FRED as the primary source and keep this as fallback.

When to invoke

  • Any equity workflow that implicitly cares about rates or credit

(portfolio-review, valuation-sanity-check, scan-and-frame)

  • User asks "what are rates doing", "credit stress", "curve",

"spreads widening"

  • Sanity-check before a directional bond ETF trade (TLT, HYG, LQD)

What you need

  • `MASSIVE_API_KEY` (Stocks Basic minimum; 9 range-aggs calls)

What you get back

**Layer 1 JSON** matching [`output-schema.json`](./output-schema.json). Per-proxy returns and percentiles, spread deltas, HYG-benchmark correlation, regime label + read, caveats.

**Layer 2 rendered brief**. Regime line + proxy table + spread block

  • correlation read + caveats. See

[`references/rendering.md`](./references/rendering.md).

Regime labels

  • `risk_off`: credit widening (HYG lagging LQD) AND TLT rallying

(long duration bid). Classic flight-to-quality.

  • `credit_stress`: HY underperforming IG, no rates confirmation yet.
  • `goldilocks`: rates rallying + HY leading. Easing bid, no fear.
  • `reflation`: rates selling off + HY leading. Growth on, rates hot.
  • `rate_pressure`: long end selling off. Watch equity multiple

compression.

  • `neutral`: no clean signal.

Doesn't handle (yet)

  • **Not raw yields.** ETF total-return prices move inversely to

yields for duration ETFs. FRED integration would give both.

  • **HYG-LQD is a return-delta proxy for credit stress, not an OAS

spread.** Directionally correct; not tradeable as a spread quote.

  • **Regime label is heuristic.** Six-bucket classifier. A real

regime engine is a bigger build.

Read more
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Repo: rgourley/quant-garage

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