Generate publication-quality econometric figures in Python, R, and Stata.
npx skills add https://github.com/zhouziyue233/great-econometrics --skill figure-zhouziyue233
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
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.
Provide your data and specify the desired figure type to generate publication-ready plots.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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