conference-plot

Create publication-quality matplotlib figures for two-column conference papers.

4|2|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/drunkcoding/AgentSkillsArxiv --skill conference-plot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: conference-plot
Source: https://github.com/drunkcoding/AgentSkillsArxiv/tree/main/skills/conference-plot
Command: npx skills add https://github.com/drunkcoding/AgentSkillsArxiv --skill conference-plot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Create publication-quality matplotlib figures for two-column conference papers (ACM, IEEE, USENIX). Provides style presets, colorblind-safe Wong palette, and dual-output (PDF+PNG) workflow. Use when the user wants to create, style, or fix plots/figures/charts for academic paper submission, or asks for conference-quality matplotlib figures.

Core Features & Use Cases

  • Style presets: preconfigured rcParams to meet venue-style requirements.
  • Color palette: Wong colorblind-safe palette for clear, accessible figures.
  • Dual-output workflow: easily generate PDF for submission and PNG for reviews.
  • Use Case: create a publication-ready figure for an ACM paper by wrapping your plotting code in paper_style() and saving with save_dual_output.

Quick Start

Import the plotting utilities from this skill's scripts directory and wrap your plotting code in the paper_style() context manager to generate publication-quality two-column figures.

Frequently Asked Questions about conference-plot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-quality matplotlib figures for a two-column conference paper?

You can create publication-quality figures for two-column conference papers by wrapping your plotting code in a paper_style() context manager, which applies venue-style rcParams and colorblind-safe palettes for ACM, IEEE, or USENIX submissions.

What is the best way to apply a colorblind-safe palette to matplotlib plots for academic submissions?

Applying the Wong colorblind-safe palette to matplotlib plots ensures clear, accessible figures for academic submissions by loading preconfigured style presets that automatically manage accessible color cycling.

Can I generate both PDF and PNG outputs simultaneously for matplotlib conference plots?

Yes, you can generate both PDF and PNG outputs simultaneously for matplotlib conference plots using a dual-output workflow, typically triggered via a save_dual_output function to produce PDFs for submission and PNGs for review.

Does this plotting approach work for ACM, IEEE, and USENIX conference paper formatting requirements?

Yes, this plotting approach works for ACM, IEEE, and USENIX conference papers by providing preconfigured rcParams style presets specifically designed to meet venue-style formatting requirements for two-column academic publications.

Do I need matplotlib installed to render and style conference paper plots?

Yes, you need matplotlib installed to render and style conference paper plots, as the workflow relies on matplotlib utilities to manage venue-style formatting, apply colorblind-safe palettes, and export PDF and PNG figures.