skills.rest
ccam80
ccam80COMMUNITY
Explore all skills by this author →
GitHub

figure-generator

Convert LaTeX figure placeholders into includegraphics references with matplotlib plots.

6|Updated Jan 25, 2026
Search Tags:#workflow#LaTeX#matplotlib#generate#placeholders#figures
One-click install
npx skills add https://github.com/ccam80/thesis-writer --skill figure-generator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: figure-generator
Source: https://github.com/ccam80/thesis-writer/tree/main/skills/figure-generator
Command: npx skills add https://github.com/ccam80/thesis-writer --skill figure-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates figure generation for LaTeX documents by converting figure placeholders in writer-produced .tex files into executable figures. It ensures consistent styling and reduces manual figure crafting.

Core Features & Use Cases

  • Placeholder-to-graphics generation: Replaces figure placeholders with \includegraphics pointing to generated outputs.
  • Plot templating & consistency: Creates or updates a shared figures/plot_defaults.py to unify styling across all figures.
  • Support for data plots and schematics: Generates Python scripts for data-driven plots and TikZ/Python schematics when possible.
  • Post-writer workflow: Runs after writer has produced the LaTeX prose and integrates with formatter for final polish.

Quick Start

After the writer step, run the figure-generator to convert all placeholders in your .tex files into includegraphics commands and generate figures in the figures/ directory. Ensure a figures/plot_defaults.py exists or is created to apply consistent styling.

Frequently Asked Questions about figure-generator

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

FAQPage Schema
How do I automatically generate figures from placeholders in a LaTeX document?▼

To generate figures from placeholders in a LaTeX document, use figure-generator to convert figure placeholders in writer-produced .tex files into executable Python scripts and replace them with includegraphics references.

How does matplotlib integration work for auto-generating thesis figures?▼

Matplotlib integration works by using a shared figures/plot_defaults.py file to apply consistent styling across all generated data plots and schematics, automatically writing the outputs to the figures/ directory.

Do I need a Python environment to automate LaTeX figure generation?▼

Yes, you need a Python environment with matplotlib installed to execute the data-driven plot scripts and generate the schematics required to replace placeholders in your .tex sources.

What is the best way to ensure consistent styling across auto-generated data plots?▼

The best way to ensure consistent styling is to use a shared figures/plot_defaults.py file in the document directory, which the figure-generator reads to unify styling across all created graphics.

Can I use this to generate both data plots and schematics for LaTeX?▼

Yes, figure-generator supports generating both data-driven plots using Python and schematics using TikZ or Python, converting them into ready-to-include graphics for your LaTeX documents.

When should I run figure generation in the LaTeX writing workflow?▼

You should run figure generation after the writer step has produced the LaTeX prose, as it operates on writer-generated .tex files to replace placeholders before the formatter applies the final polish.

Related Skills

Explore More Education & Research Skills→
skyllwtskyllwt
1.6k

/poster

Generate an academic HTML poster from a LaTeX paper.

Community
Advanced
satsuki-64satsuki-64
2

paper-compile

Compile LaTeX papers to PDF with latexmk and verify output.

Community
Intermediate
pluginagentmarketplacepluginagentmarketplace
4

data-visualization

Generate exploratory and dashboard visualizations with Matplotlib, Seaborn, and Plotly.

Community
Intermediate
ovachieverovachiever
52

clinical-decision-support

Generate publication-ready clinical decision support documents with GRADE evidence grading and survival analyses.

Community
Advanced