Fetch a structured macro snapshot from FRED and output standardized JSON.
npx skills add https://github.com/kavi-lin/stock --skill fred-macro
Please help me install this Agent Skill. Skill: fred-macro Source: https://github.com/kavi-lin/stock/tree/main/skills/fred-macro Command: npx skills add https://github.com/kavi-lin/stock --skill fred-macro
Consolidates disparate macro data from FRED into a single, consumable macro snapshot to support regime analysis and investment decisioning.
Run the fetch.py script to refresh the latest macro data and cache.
High-intent search queries and answers about installing and using this skill.
You can use FRED macro data for regime assessment by fetching a consolidated snapshot of 12+ series across rates, inflation, employment, credit, and commodities to derive a composite macro score.
Automating sector rotation signals requires aggregating macro indicators into a composite score, which this approach generates by fetching standardized FRED series and outputting sector-rotation guidance for investment protocols.
Yes, you need a FRED API key to fetch rates and inflation data, as the script uses the requests library to retrieve the macro series and output a standardized JSON payload for asset allocation.
You can integrate a FRED macro snapshot into downstream investment protocols by running the fetch script to refresh and cache the latest data, which outputs a standardized JSON payload for immediate consumption.
Assessing financial conditions for regime shifts includes 12+ macro series across rates, inflation, employment, credit, and commodities, consolidated into a single consumable snapshot to support timely investment decisioning.
A limitation of using a single composite macro score for daily regime analysis is that it consolidates disparate FRED data series into one snapshot, which may obscure granular, individual indicator volatility during rapid regime shifts.
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