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plot

Apply a canonical plotting theme to Python and R figures.

Updated Aug 27, 2026
Search Tags:#plot#python#visualization#r#theme#matplotlib#ggplot2
One-click install
npx skills add https://github.com/achousal/EngramR --skill plot-achousal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plot
Source: https://github.com/achousal/EngramR/tree/main/.claude/skills/plot
Command: npx skills add https://github.com/achousal/EngramR --skill plot-achousal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating consistent, publication-ready figures across projects by enforcing a canonical visual theme and typography.

Core Features & Use Cases

  • Apply a standardized plotting theme to Python (matplotlib/seaborn) and R (ggplot2) workflows.
  • Enforce consistent typography, color palettes, and figure geometry to accelerate scientific communication.
  • Use Case: A data science team needs uniform styling for a manuscript's figures across multiple plots and analyses.

Quick Start

Apply the canonical research theme to your next plot to produce publication-ready figures

Frequently Asked Questions about plot

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

FAQPage Schema
How do I apply a consistent theme across matplotlib and ggplot2 figures?▼

This Skill applies a canonical theme to enforce consistent typography and color palettes across matplotlib, seaborn, and ggplot2 figures, ensuring visual uniformity across multiple plots.

What is the best way to generate publication-ready figures for an academic manuscript?▼

The best way to generate publication-ready figures is to apply a canonical plotting theme with predefined color palettes and export routines that produce vector PDFs suitable for academic publication.

Can I use seaborn workflows with this canonical plotting theme?▼

Yes, this canonical plotting theme supports Python seaborn workflows alongside matplotlib and R ggplot2, applying standardized color palettes and typography guidelines to ensure visual consistency across plots.

How do I export vector PDFs from Python plots for academic publication?▼

To export vector PDFs from Python plots, use the included style hooks and export routines that apply a canonical theme to generate publication-ready figures suitable for academic publication.

Why do my data science plots have inconsistent typography and figure geometry?▼

Data science plots have inconsistent typography and figure geometry when a canonical theme is not enforced. Applying predefined style hooks standardizes visual elements to accelerate scientific communication across projects.

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