r-plotting-style

Standardize ggplot2 plotting conventions and base themes across R projects.

2|Updated Feb 18, 2026

Search Tags:#consistency #visualization #r #themes #plotting #ggplot2

Ready to run

npx skills add https://github.com/MusserLab/lab-claude-skills --skill r-plotting-style

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: r-plotting-style
Source: https://github.com/MusserLab/lab-claude-skills/tree/main/skills/r-plotting-style
Command: npx skills add https://github.com/MusserLab/lab-claude-skills --skill r-plotting-style

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines a consistent set of ggplot2 plotting conventions and a base theme that teams can apply across R projects, reducing visual drift and rework.

Core Features & Use Cases

Establishes a default theme using the classic base for all plots, with standardized typography, margins, and legend formatting.
Documents style preferences for grids, axes, labels, and color choices to ensure readability and uniformity across dashboards and reports.
Provides example code snippets and guidelines to keep plots visually consistent in multi-plot figures or publication-ready visuals.

Quick Start

Apply the r-plotting-style conventions to your next ggplot2 plot by using the base theme_classic and the provided styling guidelines.

Frequently Asked Questions about r-plotting-style

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

FAQPage Schema

How do I standardize ggplot2 themes across multiple R projects?▼

Standardize ggplot2 themes by applying a reusable base theme with consistent typography, margins, and legend formatting across all R projects. This enforces uniform visual styling, reducing visual drift and rework in analyses and reports.

What is the best way to keep ggplot2 aesthetics consistent in multi-plot figures?▼

Keeping ggplot2 aesthetics consistent in multi-plot figures requires documented style preferences for grids, axes, labels, and color choices. Example code snippets and guidelines ensure readability and uniformity across dashboards and publication-ready visuals.

How do I apply a default classic base theme to ggplot2 plots?▼

Apply a default classic base theme to ggplot2 plots by using theme_classic and the provided styling guidelines. This establishes standardized typography and legend formatting for quick adoption across R projects.

Does this ggplot2 styling approach work for publication-ready visual reports?▼

Yes, this ggplot2 styling approach works for publication-ready visual reports by documenting style preferences for grids, axes, and labels. It provides example code snippets to ensure plots remain visually consistent in publication-ready outputs.

Why does my ggplot2 visual styling drift between different analyses?▼

Your ggplot2 visual styling drifts between different analyses due to inconsistent plotting conventions. A standardized base theme with documented guidelines for typography, margins, and color choices enforces reusable rules to prevent visual drift.