Skip to content
Data
Skill

/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

Claude Code

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

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
@rgourley
Ships withquant-garage

Trade like a pro. Without the terminal. View the full landing page → Quant and equity research tools that run inside Claude, or behind your own UI.

Stars on GitHub

Momentum

stars in total
7
Star history of rgourley/quant-garage on GitHub, a chart by star-history.com

Other skills on quant-garage.

8-k-scanner

8-k-scanner

Scan SEC 8-K disclosures across a single ticker or a watchlist using Massive's pre-parsed disclosure taxonomy. Groups the…

analyst-tracker

analyst-tracker

Track sell-side analyst positioning on a name via Benzinga Analyst Ratings. Pulls every rating event over the lookback window,…

backtest-data-prep

backtest-data-prep

Build a clean, point-in-time, ready-to-backtest OHLCV dataset for a US equity universe across an arbitrary date window. Emits…

commodity-cycle

commodity-cycle

Single-commodity macro read. Answers "is this commodity in a winning or losing macro setup right now" and names the macro driver…

More skills from other plugins.

context-loader
Auto-invoked

context-loader

Search memories from earlier Pi sessions in this repository. Use it when earlier work may already explain the code, error,…

mem05d69k
@mem0ai@mem0aiInstall Skill
analyzing-ai-citations

analyzing-ai-citations

Answer AI citation and answer engine optimization (AEO) questions in PostHog: whether AI answer engines (ChatGPT, Claude, and an…

posthog12d41k
@posthog@posthogInstall Skill

Questions about fixed-income-context.

Which coding agents can use fixed-income-context?
fixed-income-context installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.