scientific-figure-making

Creates charts and graphs for research papers that look professional and follow publishing standards.

Installation
Run `npx skills add "https://github.com/chenliu-1996/figures4papers" --skill "scientific-figure-making"` to install this skill, then follow its SKILL.md instructions for my next request.

Paste this into Claude Code, Cursor, or any agent that can run commands.

SKILL.mdShow the author's original SKILL.md
---
name: scientific-figure-making
description: >-
  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 Illustrator/Figma-first infographic workflows.
---

# 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 |

Ships with 5 supporting files:

  • references/api.md
  • references/common-patterns.md
  • references/demos.md
  • references/design-theory.md
  • references/tutorials.md

Mirrored from the author's public source. Install counts from the open skills registry.

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