chenliu-1996/figures4papers · Archived

scientific-figure-making

>- Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this repository’s house style, print/vector export conventions, and parity with figures4papers demos. Use when the user is finalizing or creating such figures in matplotlib. Do not use for interactive dashboards or web viz (Plotly, Altair, Bokeh), exploratory-only plots without a publication target, dominant 3D or geographic mapping, or Illustrato…

First seen Apr 20, 2026

Installation

$ npx skills add chenliu-1996/figures4papers --skill scientific-figure-making

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 4.8K
License LICENSE
Default branch main
Open issues 1
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,242 B
  • docs SUMMARY.md 2,200 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 205 installs

SKILL.md

Scientific figure making

Open references/ only as needed; do not preload every file. Start from the table below, then follow links inside the document you opened (and into figure_* code via [references/demos.md](references/demos.md)) instead of loading the full reference set up front.

When to load this skill

  • Matplotlib figures for papers, slides, or reports that must match this repo’s publication look (fonts, palette, spines, legends, export).
  • Requests involving grouped bars, trend lines, heatmaps, multi-panel grids, or PDF/SVG/high-DPI output in a scientific-figure context.
  • References to figures4papers figure_* projects or “same style as the repo figures.”

When not to load

  • Plotly, Altair, Bokeh, or other interactive / web-first plotting.
  • EDA-only plots where seaborn or pandas is enough until there is a publication target.
  • Primary workflow is 3D, GIS, or non-matplotlib tooling.
  • Illustrator / Figma–first layout or infographic (not matplotlib data plots).

Related files

File Open when
[references/tutorials.md](references/tutorials.md) End-to-end walkthroughs (bar, trends, heatmap)
[references/api.md](references/api.md) Function signatures, PALETTE, validation rules
[references/common-patterns.md](references/common-patterns.md) Layout patterns, legend panel, print-safe bars
[references/design-theory.md](references/design-theory.md) Typography, export policy, palette rationale
[references/demos.md](references/demos.md) Canonical figure_* demo links in figures4papers