imf-ra-charts

Convert tabular economic data into IMF-compliant PNG charts with Python scripts.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/johnsonice/RA-Skills --skill imf-ra-charts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: imf-ra-charts
Source: https://github.com/johnsonice/RA-Skills/tree/main/skills/imf-ra-charts
Command: npx skills add https://github.com/johnsonice/RA-Skills --skill imf-ra-charts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about imf-ra-charts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate IMF house-style economics charts from WEO data?

To generate IMF house-style economics charts from WEO data, you can use a specialized skill that automates converting tabular data into static PNG outputs, applying strict formatting rules for accurate representations.

Can I convert cross-sectional economic data into interactive Plotly HTML charts?

Yes, you can convert cross-sectional economic data into interactive Plotly HTML charts. This feature provides self-contained interactive outputs, but it is only generated after explicit user confirmation.

Does this economics charting workflow produce reproducible Python scripts?

Yes, the economics charting workflow produces reproducible Python scripts. It includes a complete, annotated script with every chart to document all data cleaning, transformations, and formatting choices.

How do I create editable Excel workbooks with embedded charts from IMF research data?

You can create editable Excel workbooks with embedded charts and raw data from IMF research data. This enhanced output option is available alongside static PNGs, provided after explicit user confirmation.

What is the best way to ensure my data visualization follows IMF research formatting standards?

The best way to ensure your data visualization follows IMF research formatting standards is to use an automated charting tool that applies strict house-style formatting and performs pre-delivery QA validation.

Do I need to manually clean tabular data before generating static PNG economics charts?

No, you do not need to manually clean tabular data before generating static PNG economics charts. The automated workflow handles data cleaning and context-aware chart type selection aligned with your analytical tasks.