us-gov-shutdown-tracker

Track TGA, reserves, EFFR, and SOFR to assess government shutdown liquidity impacts.

310|52|Updated Oct 26, 2025
One-click install
npx skills add https://github.com/fleurytian/awesome-claude-skills --skill us-gov-shutdown-tracker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: us-gov-shutdown-tracker
Source: https://github.com/fleurytian/awesome-claude-skills/tree/main/us-gov-shutdown-tracker
Command: npx skills add https://github.com/fleurytian/awesome-claude-skills --skill us-gov-shutdown-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users assess liquidity effects of US government shutdowns by tracking TGA, bank reserves, EFFR, and SOFR via the FRED API, enabling quick liquidity stress analysis and historical comparison.

Core Features & Use Cases

  • Stealth tightening analysis: quantify how shutdowns impact funding costs across regimes.
  • Historical comparisons: evaluate episodes from 2013, 2018-19, and current events.
  • Structured outputs: JSON data files and charts summarizing TGA, reserves, EFFR, SOFR, and SOFR Premium.

Quick Start

Run the analysis with default settings: python scripts/analyze_shutdown.py --output results.json python scripts/visualize.py results.json --output chart.png

Frequently Asked Questions about us-gov-shutdown-tracker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does a government shutdown affect liquidity in financial markets?

Government shutdowns reduce liquidity by draining the Treasury General Account (TGA), which decreases bank reserves and typically tightens funding conditions. This Skill tracks TGA, bank reserves, EFFR, and SOFR via FRED API to quantify these liquidity impacts and identify stealth tightening across shutdown episodes.

How do I analyze shutdown liquidity impacts using FRED API data?

Run the analysis script with default settings to ingest FRED data, compute weekly TGA and reserves trends, calculate daily EFFR and SOFR, derive SOFR premium, and classify liquidity status. The Skill outputs structured JSON, visualizations, and narrative conclusions automatically.

What's the difference between EFFR and SOFR when evaluating liquidity stress?

EFFR reflects overnight federal funds rates across traditional bank lending; SOFR is the secured overnight financing rate based on Treasury repo transactions. This Skill computes SOFR premium (the spread) to assess liquidity conditions and compare tightening across QE versus QT regimes during shutdowns.

Can I compare liquidity effects across past shutdown episodes like 2013 and 2018?

Yes. This Skill applies historical comparison analysis to evaluate TGA, reserves, EFFR, and SOFR behavior across past shutdown episodes, enabling you to assess how current shutdowns differ and identify stealth tightening patterns across regimes.

What data outputs does the shutdown liquidity analysis generate?

The Skill generates structured JSON data files containing weekly TGA and reserves trends, daily EFFR and SOFR values, SOFR premium calculations, liquidity status classifications (EASING/TIGHTENING/STABLE/MIXED), and accompanying PNG charts summarizing findings.

Do I need API credentials to track government shutdown liquidity impacts?

Yes. The Skill requires a FRED API key to ingest Treasury General Account, bank reserves, EFFR, and SOFR data. You must obtain a free key from the Federal Reserve Economic Data portal before running the analysis scripts.