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'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From formatting
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 formattingCreates publication-quality scientific figures (pubfig) and tables (pubtab) from research results, including LaTeX export and QA review.
Creates publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting (Nature, Science, Cell) using matplotlib, seaborn, and plotly.
Use when creating data visualizations for papers - generates publication-quality plots with top-journal color schemes.