Fecon235
Fecon235 provides a Jupyter Notebook environment for analyzing and forecasting financial and economic data, including inflation, unemployment, and stock market trends, using libraries like pandas and data from sources like the Federal Reserve's FRED
- •When you need to analyze historical economic data to inform business decisions
- •When you want to build predictive models of financial markets or economic indicators
- •When you need to visualize and explore large economic datasets
Fetch the latest GDP data using `fredapi` and plot it against the S&P 500 index: `fred.get_series('GDP', observation_start='2020-01-01')` and `yf.download('SPY', start='2020-01-01')`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/fecon235 && curl -fsSL https://workflowstacks.com/api/skills/fecon235/claude-skill -o ~/.claude/skills/fecon235/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/fecon235 && curl -fsSL https://workflowstacks.com/api/skills/fecon235/claude-skill -o ~/.claude/skills/fecon235/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: No extra API — just watches the pages you list.
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