What problem does it solve?
This Skill removes the manual effort and specialized knowledge required to create accurate, IMF-compliant economics charts for research workflows, eliminating the need to manually code formatting rules, select appropriate chart types, or handle data cleaning for tabular or IMF RA data.
Core Features & Use Cases
- Compliant Chart Generation: Converts IMF RA data or user-provided CSV/Excel files into static PNG charts that follow strict IMF house-style formatting and visualization best practices to avoid misleading representations.
- Reproducible Output: Includes a complete, annotated Python script with every chart that documents all data cleaning, transformations, and formatting choices for full reproducibility.
- Optional Enhanced Outputs: Offers self-contained interactive HTML charts (via Plotly) and editable Excel workbooks with embedded charts and raw data only after explicit user confirmation.
- Use Case: A researcher working on a WEO analysis can turn a multi-country GDP growth dataset into a properly formatted, publication-ready line chart in seconds, without manually adjusting fonts, colors, or axis labels to meet IMF standards.
Quick Start
Use the imf-ra-charts skill to turn the real GDP growth dataset from your imf-ra-data output into a static PNG line chart comparing the US, Euro Area, and Japan from 2010 to 2023.