Sleepy-Avacado/FigGenie-paper-diagram-skill

Draw camera-ready figures for top-venue papers.

Examples | Why FigGenie | Quick start | Features | 中文说明

The figures below are examples drawn by FigGenie Skill. It draws editable vector graphics, not bitmaps from an image-generation model, so you can open them in Illustrator, PowerPoint and similar tools and keep editing. Chinese text and formulas are supported too. The systems, components and numbers in the figures are invented.

Architecture figures
SVG / PDF / PPTX	SVG / PDF / PPTX
Mechanism figures
SVG / PDF / PPTX	SVG / PDF / PPTX

• Learned from real figures, not from taste. Its rules come with numbers, measured on 2,041 hand-rated figures from top systems venues.
• Drawn at print size. It works in points for a 240 pt column, so the labels stay readable in the paper and not only on screen.
• Every figure is checked. A linter measures every box in a headless browser, and the agent looks at the render before handing anything over.

We collected the figures of every OSDI, NSDI, SOSP and ASPLOS paper from 2023 to 2026, rated 2,041 of them by hand, and measured what separates the good ones from the rest.

_{16 figures from the corpus, taken from papers published under CC BY 4.0. Each figure belongs to its authors; see CREDITS.md.}

Simply drop the URL of this repo into your AI agent and ask it to install the skill:

Install this skill and set up its dependencies: https://github.com/Sleepy-Avacado/FigGenie

Or install it manually:

Claude Code: install the plugin.

/plugin marketplace add Sleepy-Avacado/FigGenie
/plugin install figgenie@figgenie

Codex and other agents: FigGenie is a plain Agent Skill, a folder with a SKILL.md, scripts and references. Any agent that loads skills, runs shell commands and can look at a PNG can use it.

git clone https://github.com/Sleepy-Avacado/FigGenie.git
mkdir -p ~/.agents/skills
ln -s "$PWD/FigGenie/skills/figgenie-paper-diagram" ~/.agents/skills/figgenie-paper-diagram

Older Codex releases read skills from ~/.codex/skills instead.

Requirements: Python 3 and a headless Chromium for rendering and linting.

pip install lxml pillow playwright fonttools
playwright install chromium

Optional: Node.js 18+ for TeX formulas (MathJax installs itself on first use), and pip install python-pptx for the PowerPoint export (native equations there also need Office's mathml2omml.xsl).

Editable in PowerPoint. On request, the finished figure becomes a deck with one native shape per primitive, at the same coordinates as the SVG.

Every element is a group named after its id in the spec.	Boxes are native shapes with their own fill and line.
Labels are live text in the figure's own font.

• Figures in the style of top AI venues (NeurIPS, ICML, ICLR, CVPR, ACL)
• An interactive editor
• Support for more editors (draw.io, OmniGraffle and others)

FigGenie learned from the figures of the authors whose papers make up the corpus; the figures remain theirs. The collage above is credited figure by figure in CREDITS.md. Fonts: TeX Gyre, Latin Modern, Source Sans, Inter, Roboto, Arimo, Tinos, Carlito and DejaVu. Formulas: MathJax. Rendering: Playwright and Chromium.

Removal requests. If you are an author of a figure used in this repository and want it removed, email ahawkinthesky@outlook.com or open an issue at https://github.com/Sleepy-Avacado/FigGenie/issues. We will take it down.

The code and documentation are released under the MIT License. Two things are not covered by it:

• figures and parts taken from published papers, which belong to their authors (see CREDITS.md and SOURCES.md);
• the bundled fonts, which keep their own licenses (see assets/fonts/LICENSES.md).