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.