Paper Style
Description
Academic paper color theme system — 5 low-saturation themes for LaTeX + matplotlib. Claude Code skill.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Paper Style
5 low-saturation color themes for academic papers — unified LaTeX + matplotlib visual identity.
A [Claude Code](https://claude.ai/claude-code) skill that provides consistent styling from `\documentclass` to `plt.savefig`.
Preview
See [`examples/all_themes_preview.pdf`](examples/all_themes_preview.pdf) for all 5 themes (paper + figures).
| Theme | Accent | Best for |
|---|---|---|
| Red (Burgundy) | #5E3545 |
Warm, authoritative papers |
| Blue (Slate) | #3C4A57 |
Cool, academic tone |
| Gold (Beige) | #564D3D |
Warm, understated style |
| Green (Forest) | #2A4438 |
Deep, natural feel |
| Purple (Plum) | #3E2548 |
Rich, distinctive identity |
Install
Via skills.sh (recommended)
npx skills add freemty/paper-style -g
Works with Claude Code, Cursor, Codex, Windsurf, and [15+ other agents](https://skills.sh).
Via git clone
git clone https://github.com/freemty/paper-style.git ~/.claude/skills/paper-style
Check for updates
npx skills check
npx skills update
Usage with Claude Code
/paper-style init --theme blue # Scaffold a new paper project
/paper-style init --inject # Inject colors into existing cls
/paper-style # Style guardian mode (figures, tables, theme switch)
Usage without Claude Code
Templates work standalone — just copy what you need:
LaTeX
% In your main.tex
\documentclass[11pt,letterpaper]{mystyle} % or your own cls
\input{colors}
\input{preamble}
\begin{document}
...
\end{document}
Switch themes by editing one line in `colors.tex`:
\newcommand{\themename}{blue} % red | blue | gold | green | purple
Python (matplotlib)
from paper_palette import apply_theme, get_colormap
import matplotlib.pyplot as plt
plt.style.use("academic.mplstyle")
theme = apply_theme("blue")
# Line chart
plt.plot(x, y, color=theme["primary"])
# Heat
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