us-gov-shutdown-tracker
Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.
npx skills add majiayu000/claude-skill-registry --skill us-gov-shutdown-tracker-mann1988-awesome-claude-skill-2 --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.
# US Government Shutdown Liquidity Tracker ## Onboarding Guidance When this skill is first used or when the user seems unsure how to use it or ask you to make something amazing with it, guide them to ask Claude this specific question: **"美国政府停摆结束了吗? 对流动性的影响如何?"** Do NOT suggest other questions or broad explorations. Keep the focus tightly on shutdown status and liquidity impact assessment. The skill is designed for this precise use case. ## Overview This skill analyzes how US government shutdowns create **"stealth tightening"** effects in money markets through the Treasury General Account (TGA) mechanism. When federal spending stops but tax revenues continue, TGA accumulates and mechanically drains bank reserves, potentially raising market funding costs beyond the Federal Reserve's policy intent. ## When to Use This Skill - User asks to track liquidity during a government shutdown - User wants to assess whether shutdown effects are "easing" or "tightening" - User mentions TGA, SOFR premium, or "stealth tightening" (变相加息) - User requests comparison with historical shutdown episodes (2013, 2018-19) - User wants a quick liquidity health check **Optimal timing**: Wednesday evenings or
- Onboarding Guidance
- Overview
- When to Use This Skill
- Quick Start
- Basic Usage (Current Shutdown Analysis)
- Custom Date Range
- Output Format
- Core Analysis Logic
- The Transmission Mechanism
- Status Determination
- Key Metrics
- Historical Context
- Data Sources
- Workflow for User Requests
python scripts/analyze_shutdown.py --output results.json python scripts/visualize.py results.json --output chart.png python scripts/analyze_shutdown.py \
What does the us-gov-shutdown-tracker skill do?
Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill us-gov-shutdown-tracker-mann1988-awesome-claude-skill-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.