Econ Visualization
If you're writing economics papers and tired of tweaking ggplot themes every time you need a figure, this handles the formatting grunt work. It generates R code for standard econ visualizations like event studies, time series comparisons, and regression scatterplots, with clean academic styling and high-resolution PDF exports built in. The three-step workflow asks about your data and chart needs first, then produces reproducible code with proper axis labels and consistent theming. It's opinionated about best practices like vector formats and readable scales, which is exactly what you want when you need five figures to look coherent across a paper. Maintained by the Awesome Econ AI Community.
- skills.sh installs
- 201
- GitHub stars
- 668
- last updated
- Aug 21, 2026
Install
$ npx -y skills add meleantonio/awesome-econ-ai-stuff --skill econ-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Econ Visualization
Purpose
This skill creates publication-quality figures for economics papers, using clean styling, consistent scales, and export-ready formats.
When to Use
- Building figures for empirical results and descriptive analysis
- Standardizing chart style across a paper or presentation
- Exporting figures to PDF or PNG at journal quality
Instructions
Follow these steps to complete the task:
Step 1: Understand the Context
Before generating any code, ask the user:
- What is the dataset and key variables?
- What chart type is needed (line, bar, scatter, event study)?
- What output format and size are required?
Step 2: Generate the Output
Based on the context, generate code that:
- Uses a consistent theme for academic styling
- Labels axes and legends clearly
- Exports figures at high resolution
- Includes reproducible steps for data preparation
Step 3: Verify and Explain
After generating output:
- Explain how to regenerate or update the plot
- Suggest alternatives (log scales, faceting, smoothing)
- Note any data transformations used
Example Prompts
Sponsors
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- Repository
- github.com/meleantonio/awesome-econ-ai-stuff
- Categories
- Code Review & Quality, AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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