Interpret specific economic data series and releases — read a print against consensus (surprise), trend, and z-score; track the release calendar; classify leading vs lagging indicators; and tag the growth/inflation regime. Includes a Python helper for surprise %, z-scores, and trend from a release CSV. Use when the user wants a single indicator explained, a release reaction, a surprise-vs-consensus read, an economic data calendar, or which indicators to watch. For the broader narrative note, pair with macro-research.
How to install economic-indicators?
nocetic/flowly/economic-indicators
$npx -y skills add nocetic/flowly --skill economic-indicatorsInstalls into the current project.
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Run `npx skills use "https://github.com/nocetic/flowly" --skill "nocetic/flowly/economic-indicators"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nocetic/flowly" that are relevant to the current task. Run `npx skills add "https://github.com/nocetic/flowly"` and select the relevant skills, then follow their instructions.
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