← ClaudeAtlas

latex-drawing-collectionlisted

LaTeX drawing examples for Bayesian networks, tensors, and diagrams
dongzhigang13305312738-art/paper-skills · ★ 0 · AI & Automation · score 63
Install: claude install-skill dongzhigang13305312738-art/paper-skills
# LaTeX Drawing Collection A skill providing ready-to-use LaTeX drawing examples and guidance for creating publication-quality scientific figures using TikZ, PGFPlots, and related packages. Based on awesome-latex-drawing (2K stars), this skill covers Bayesian networks, tensor decompositions, neural architectures, time series visualizations, and more. ## Overview High-quality figures are essential for effective scientific communication. While external tools like Matplotlib or Inkscape can produce figures, native LaTeX drawings offer superior integration with the document, consistent typography, vector-quality output at any resolution, and automatic style matching with the surrounding text. This skill equips the agent with knowledge of 30+ LaTeX drawing patterns commonly used in academic publications. Each pattern includes the required packages, a description of the drawing approach, and guidance on customization for specific research contexts. ## Essential Packages The following LaTeX packages form the foundation for scientific drawing: **TikZ (tikz)** - The core drawing package for LaTeX, providing a programming interface for vector graphics - Supports coordinate systems, transformations, path operations, and decorations - Required for virtually all complex scientific diagrams - Load with: `\usepackage{tikz}` and relevant libraries via `\usetikzlibrary{...}` **PGFPlots (pgfplots)** - Built on TikZ for creating publication-quality data plots - Supports 2D and 3D plots,