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Enforces consistent LaTeX formatting, creates publication-ready matplotlib/seaborn figures, and generates TikZ/PGF diagrams for neural networks and technical diagrams.
How this skill is triggered — by the user, by Claude, or both
Slash command
/formatting:formattingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Document and LaTeX formatting skills for publication-quality output.
Document and LaTeX formatting skills for publication-quality output.
| Command | Description |
|---|---|
/latex-consistency | Enforce consistent LaTeX formatting for ML papers |
/publication-figures | Create publication-ready matplotlib/seaborn figures |
/tikz-figures | Create TikZ/PGF figures for neural networks and diagrams |
/plugin install formatting@research-agora
MIT
npx claudepluginhub rpatrik96/research-agora --plugin formattingGenerates publication-grade scientific figures and tables using pubfig and pubtab workflows. Handles chart selection, LaTeX export, and figure review.
Generates publication-quality Python data visualizations for research papers using matplotlib, seaborn, numpy, pandas, and top-journal color schemes like Nature/Science.
Uses matplotlib, seaborn, and plotly with publication styles to create journal-ready figures (Nature, Science, Cell). Supports multi-panel layouts, statistical annotations, error bars, and colorblind-safe palettes.