macro-analyst

Classify macro regimes from Fed policy, inflation, employment, GDP, yield curve, and DXY into ETF guidance.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/WenyuChiou/multi-analyst-desk --skill macro-analyst
Or copy as Structured Prompt for Agent
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Skill: macro-analyst
Source: https://github.com/WenyuChiou/multi-analyst-desk/tree/main/skills/macro-analyst
Command: npx skills add https://github.com/WenyuChiou/multi-analyst-desk --skill macro-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monitors macro developments and translates them into actionable ETF positioning signals for proactive portfolio management.

Core Features & Use Cases

  • Regime monitoring across Fed policy, inflation, labor markets, GDP, yield curve, and USD, and translating it into probability-adjusted ETF recommendations.
  • Multi-scenario framework updates probabilities for soft landing, dovish pivot, and recession, with explicit Devil's Advocate analysis.
  • ETF positioning guidance for SPY, QQQ, IWM, XLE, XLU, XLV, GLD, and TLT, adapting to regime shifts.
  • Rapid event analyses for FOMC, CPI, and NFP releases with time-sensitive recommendations.
  • Bilingual data synthesis incorporating English and Chinese sources to broaden coverage.

Quick Start

Generate a weekly macro summary with regime classification and ETF recommendations using the latest data.

Frequently Asked Questions about macro-analyst

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

FAQPage Schema
How do I translate macro signals into ETF positioning guidance?

ETF positioning guidance is generated by identifying the current macro regime from Fed policy, inflation, employment, GDP, yield curve, and DXY data, then mapping it to actionable recommendations for core assets like SPY, QQQ, and TLT.

What is macro regime classification for portfolio management?

Macro regime classification categorizes the current economic environment into scenarios like soft landing, dovish pivot, or recession, updating probabilities to guide probability-adjusted ETF recommendations for your portfolio.

How do I analyze FOMC, CPI, and NFP releases for ETF trading?

You can analyze these economic releases by running rapid event analyses that provide time-sensitive ETF recommendations, updating scenario probabilities and regime classifications based on the latest data.

Can I get a Devil's Advocate analysis and confidence calibration for my ETF strategy?

Yes, the framework includes an explicit Devil's Advocate argument and confidence calibration alongside scenario probability updates, ensuring a balanced view of macro risks before adjusting ETF positions.

What macro data is needed for scenario analysis of core assets?

Scenario analysis requires key macro data including Fed policy, inflation, employment, GDP, yield curve, and DXY to classify the regime and generate guidance for assets like GLD, XLE, XLU, XLV, and IWM.

What are the limitations of using macro signals for ETF allocation?

Limitations include caveats about data quality and timing, meaning ETF recommendations are probability-adjusted rather than absolute, and the framework includes an 'If I am Wrong' section to address timing risks.