latex-drawing-collection
LaTeX drawing examples for Bayesian networks, tensors, and diagrams
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill latex-drawing-collection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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, transform
- Overview
- Essential Packages
- Bayesian Network Diagrams
- Tensor and Matrix Diagrams
- Neural Network Architectures
- Time Series and Spatiotemporal Plots
- Customization Guidelines
- Integration with Research-Claw
- Best Practices
What does the latex-drawing-collection skill do?
LaTeX drawing examples for Bayesian networks, tensors, and diagrams
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill latex-drawing-collection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.