How do I install the Fixed Income Context skill?

Run npx skillmds@latest add rgourley/fixed-income-context in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Fixed Income Context safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Fixed Income Context?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Fixed Income Context free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Fixed Income Context?

rgourley (@rgourley) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Fixed Income Context by rgourley — Agent Skill

Name: Fixed Income Context
Author: rgourley

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 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.

rgourley f7167f9 5 files · 7.8 KB Updated Sep 17, 2026

File contents

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. 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.

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.

---name: fixed-income-contextdescription: 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-contextYou hand over nothing. The skill returns the rates and credit picturevia a fixed panel of ETF proxies plus derived spread reads and aplain-English regime label.ETF proxies rather than raw yields so the whole thing runs on anyMassive Stocks plan. When you want actual yields, wire in FRED asthe 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-benchmarkcorrelation, 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.

Frequently asked questions