Scientific Visualization (CS Edition)

Overview

Turn benchmark and experiment data into publication-quality figures for CS venues. This skill is opinionated for systems, ML, networking, and security papers: it covers latency CDFs, throughput curves, training-loss plots, ablation bars, speedup comparisons, and Pareto fronts. It replaces the upstream biology-leaning version (microscopy, gene expression, fluorophores) with CS conventions and CS venue specs (IEEE, ACM, USENIX, NeurIPS, ICML, ICLR, arXiv).

The plugin produces LaTeX-only manuscripts. PDF is the default figure format — it embeds losslessly into LaTeX via \includegraphics{...}, scales without artifacts, and matches every CS venue's preferred line-art format. Use PNG only for raster screenshots, profilers, or visualizations that already started as raster.

Scope

Use this skill when:

• Creating plots for a CS paper (latency, throughput, accuracy, loss, memory, F1, CDF, etc.)
• Targeting IEEE Transactions, an ACM conference (acmart), a USENIX venue, NeurIPS / ICML / ICLR, or arXiv
• Building multi-panel figures with consistent styling
• Ensuring figures stay readable in grayscale and for colorblind reviewers
• Exporting at the right resolution and format for LaTeX inclusion

Do not use this skill for: