Retrieve macroeconomic time series data from the FRED API.
npx skills add https://github.com/gauss314/skills --skill fred-macro-gauss314
Please help me install this Agent Skill. Skill: fred-macro Source: https://github.com/gauss314/skills/tree/main/skills/fred-macro Command: npx skills add https://github.com/gauss314/skills --skill fred-macro-gauss314
This Skill solves the difficulty of manually searching and retrieving reliable, high-frequency macroeconomic data from the Federal Reserve, ensuring your models and analyses are built on official, up-to-date figures.
Use the fred-macro skill to fetch the historical GDP data series from 2020 to the present and display the values.
High-intent search queries and answers about installing and using this skill.
You retrieve macroeconomic time series data by using this Skill to programmatically fetch over 840,000 economic indicators from the FRED API. It automates data extraction by sending requests for specific series and returning structured data for analysis.
You can filter FRED data by date range, frequency, and transformation units to suit your analytical needs. This allows you to tailor the retrieved macroeconomic time series specifically for your financial modeling and research applications.
Using the Federal Reserve Economic Data API, you can analyze macroeconomic indicators including inflation, interest rates, GDP, CPI, and labor market metrics. The Skill facilitates automated analysis of these official, high-frequency economic statistics.
You need a Python environment with the pandas and requests libraries installed to fetch FRED time series data. These dependencies are required to handle the API requests and structure the returned macroeconomic data for analysis.
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