Verified:GitHub

figure

Generate publication-quality econometric figures in Python, R, and Stata.

6|1|Updated Apr 3, 2026

Search Tags:#visualization #econometrics #publication-quality #journal-standards #figure-generation #multiplatform-plotting

Ready to run

npx skills add https://github.com/zhouziyue233/great-econometrics --skill figure-zhouziyue233

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: figure
Source: https://github.com/zhouziyue233/great-econometrics/tree/main/skills/figure
Command: npx skills add https://github.com/zhouziyue233/great-econometrics --skill figure-zhouziyue233

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers transform econometric figure generation into a streamlined, publication-ready process, saving hours by auto-producing high-quality visuals that conform to top journals' standards.

Core Features & Use Cases

Publication-quality figure code for common econometric plots (event study, coefficient plots, binscatter, RDD, etc.)
Cross-language support (Python, R, Stata) with predefined typography, color palettes, and export formats (PDF/PNG) for journal submissions.
Quick-start templates and defaults that ensure grayscale readability and proper axis labeling for wide readership.

Quick Start

Provide your data and specify the desired figure type to generate publication-ready plots.

Frequently Asked Questions about figure

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

FAQPage Schema

How do I generate publication-quality econometric figures for journal submissions?▼

To generate publication-quality econometric figures, you provide your data and specify the desired plot type. The Skill outputs standardized visuals with predefined typography, color palettes, and proper export formats like PDF or PNG that meet top-journal standards.

Can I create event study and RDD plots that meet top-journal standards across Python, R, and Stata?▼

Yes, you can create event study, coefficient plots, binscatter, and RDD plots across Python, R, and Stata. The Skill provides cross-language support with predefined typography and configurable defaults for fonts and line widths to ensure journal-standard formatting.

What is the best way to ensure grayscale readability and proper axis labeling for econometric visuals?▼

The best way to ensure grayscale readability and proper axis labeling is to apply the Skill's quick-start templates and defaults. These predefined settings automatically configure visual properties to guarantee readability for a wide academic readership.

Do I need to manually configure fonts and line widths for multiplatform plotting?▼

No, you do not need to manually configure fonts and line widths for multiplatform plotting. The Skill includes configurable defaults for typography and line widths, automatically applying these settings across Python, R, and Stata workflows to streamline figure generation.

Why does my econometric figure formatting often fail to meet strict publication-ready requirements?▼

Econometric figure formatting fails to meet publication-ready requirements when lacking standardized typography and color palettes. The Skill resolves this by applying strict adherence to journal formatting rules, auto-producing high-quality visuals that conform to top journals' standards.