Academic Figures

Generate professional, publication-ready scientific figures as editable SVG files for academic journals (Nature, Science, Cell, ACS, IEEE, Elsevier). Use this skill whenever the user wants to create a schematic figure, graphical abstract, TOC graphic, experimental workflow diagram, conceptual illustration, multi-panel figure, or any visual for a research paper or presentation. Also trigger when users mention "figure for paper", "journal figure", "scientific illustration", "panel figure", "graphical abstract", "TOC graphic", "schematic diagram", "Inkscape", "Ipe editor", or requests for publica

15 starsResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add sai-tv/academic-figures --skill academic-figures

Manual install

git clone --depth 1 https://github.com/sai-tv/academic-figures.git /tmp/academic-figures
mkdir -p ~/.claude/skills
cp -r /tmp/academic-figures/. ~/.claude/skills/academic-figures

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Academic Figure Generator

Generate publication-ready, editable SVG figures for top-tier academic journals. Outputs are directly editable in **Inkscape** and **Ipe** (via SVG import).

## Core Workflow

```
User provides research story/idea
        ↓
Analyze → identify panels, flow, hierarchy
        ↓
Determine figure type (multi-panel figure OR graphical abstract/TOC)
        ↓
Design 2-3 variants (different layouts AND visual styles)
        ↓
Generate SVG files with:
  - Clean vector graphics (shapes, arrows, labels)
  - Labeled placeholder regions for data plots
  - Journal-compliant typography and dimensions
        ↓
Present all variants for user to choose/refine
```

---

## Step 0: Read References

**BEFORE generating any SVG**, read the reference files:

1. **Read** `references/journal-styles.md` — journal dimension/formatting rules
2. **Read** `references/svg-guide.md` — SVG generation patterns, component library

These contain critical information about exact dimensions, fonts, color palettes, arrow spacing rules, and reusable SVG component code. Do NOT skip this step.

---

## Step 1: Analyze the User's Story

When the user describes their figure, extract:

1. **Narrative arc**: What story does the figure tell? (e.g., "We synthesized X, characterized it with Y, and it performs Z")
2. **Panel inventory**: How many distinct panels? What does each show?
   - **Schematic panels**: Diagrams, workflows, device structures, molecular illustrations

Read the full skill on GitHub

Details

Skill name: academic-figures
Repository: sai-tv/academic-figures
License: MIT
Repo updated: 26 February 2026

FAQ

What does the Academic Figures skill do?

How do I install the Academic Figures skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add sai-tv/academic-figures --skill academic-figures. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Academic Figures popular?

It lives in sai-tv/academic-figures, which has 15 GitHub stars and 0 forks.

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