MCPInstall

econ-visualization

Create publication-quality charts and graphs for economics papers.

Installs
199
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill econ-visualization
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads econ-visualization automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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:

  1. Uses a consistent theme for academic styling
  2. Labels axes and legends clearly
  3. Exports figures at high resolution
  4. 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

  • "Create an event study plot with confidence intervals"
  • "Plot GDP per capita over time for three countries"
  • "Build a scatter plot with fitted regression line"

Example Output

# ============================================
# Publication-Quality Figure in R
# ============================================
library(tidyverse)

df <- read_csv("data.csv")

ggplot(df, aes(x = year, y = gdp_per_capita, color = country)) +
  geom_line(size = 1) +
  scale_y_continuous(labels = scales::comma) +
  labs(
    title = "GDP per Capita Over Time",
    x = "Year",
    y = "GDP per Capita (USD)",
    color = "Country"
  ) +
  theme_minimal(base_size = 12) +
  theme(
    legend.position = "bottom",
    panel.grid.minor = element_blank()
  )

ggsave("figures/gdp_per_capita.pdf", width = 7, height = 4, dpi = 300)

Requirements

Software

  • R 4.0+ or Python 3.10+

Packages

  • For R: ggplot2, scales, dplyr
  • For Python: matplotlib, seaborn (optional alternative)

Best Practices

  1. Use vector formats (PDF, SVG) for publication
  2. Keep labels concise and readable
  3. Document data filters used in the figure

Common Pitfalls

  • Overcrowded plots without clear labeling
  • Inconsistent scales across figures
  • Exporting low-resolution images

References

Changelog

v1.0.0

  • Initial release

FAQ

What does the econ-visualization skill do?

Create publication-quality charts and graphs for economics papers.

How do I install econ-visualization?

Run npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill econ-visualization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/econ-visualization/ (personal) or .claude/skills/econ-visualization/ (project).

Which AI agents can use econ-visualization?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is econ-visualization safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains econ-visualization?

It is published by meleantonio in meleantonio/awesome-econ-ai-stuff. It has 199 recorded installs.

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