Fetch time series data from IMF databases via the internal Python SDK.
npx skills add https://github.com/johnsonice/RA-Skills --skill imf-ra-data
Please help me install this Agent Skill. Skill: imf-ra-data Source: https://github.com/johnsonice/RA-Skills/tree/main/skills/imf-ra-data Command: npx skills add https://github.com/johnsonice/RA-Skills --skill imf-ra-data
Manually searching for IMF data series, mapping indicator codes, and formatting outputs for economic analysis is time-consuming and prone to errors. This Skill automates the entire retrieval workflow for any IMF database, eliminating manual code lookup and formatting work.
Use the imf-ra-data skill to fetch 2020 to 2024 nominal GDP and inflation data for the United States, Germany, Japan, the United Kingdom, France, and Italy from the WEO database and save it as a refreshable Excel file.
High-intent search queries and answers about installing and using this skill.
You can fetch IMF data series for multiple countries using Python by leveraging the internal Python SDK to retrieve single-series or multi-country panel data with automatic frequency conversion, country group resolution, and dimension validation.
The best way to export WEO data to a refreshable Excel file is using the imf-ra-data skill, which automatically generates refreshable Excel outputs enriched with metadata and auto-selects the layout based on the number of indicators, countries, and time periods.
Yes, you can retrieve time series data from vintage IMF databases because the internal Python SDK includes automatic handling for both LIVE and vintage database versions across all major sources like WEO, IFS, and BOPS.
Yes, the IMF data retrieval tool handles transient API failures by applying automatic retry logic during data pulls to ensure reliable extraction without manual intervention.
The tool prevents overly broad data queries by enforcing safe query policies and handling large country panels via automatic key chunking, ensuring requests remain within valid operational limits.
Supported IMF databases for economic analysis data pulls include WEO, IFS, BOPS, GFS, DOTS, FSI, and Haver sources, accessible through the internal Python SDK for comprehensive research workflows.
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