# Nature Figure

Create, revise, audit, and export manuscript scientific figures in Python or R.

- Repository: https://github.com/Yuan1z0825/nature-skills (51695 stars)
- Category: Data and ML
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add Yuan1z0825/nature-skills --skill nature-figure -g -a claude-code -y`
Codex: `npx skills add Yuan1z0825/nature-skills --skill nature-figure -g -a codex -y`
Cursor: `npx skills add Yuan1z0825/nature-skills --skill nature-figure -g -a cursor -y`
Gemini CLI: `npx skills add Yuan1z0825/nature-skills --skill nature-figure -g -a gemini-cli -y`

## Description

Create, revise, audit, and export manuscript scientific figures in Python or R. Use for 论文配图、科研绘图、多面板图 and submission-ready plots, or explicitly requested AI-generated graphical abstracts and mechanism schematics. Not for interactive dashboards, data cleaning, or statistics-only analysis.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Nature Figure Making, Router

## Routing protocol

For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.

### 0. Check for graphical-abstract and AI-schematic routes

For every graphical-abstract planning, generation, revision, or audit task that
uses AI, read
[references/ai-graphical-abstract-workflow.md](references/ai-graphical-abstract-workflow.md)
first. It owns the message/audience brief, composition and palette workflow,
policy gate, human scientific review, disclosure boundary, and provenance
requirements. A Nature Careers article is practitioner advice, not submission
clearance; verify the current official policy for the exact target journal.

If the request is planning or auditing only, do not ask for Python or R unless
the user also asks to render or revise a data-driven figure.

If the user explicitly asks to generate a manuscript schematic, graphical abstract, mechanism diagram, concept illustration, or paper schematic with OpenRouter, GPT Image 2, an image-generation API, or similar wording, do **not** ask "Python or R?". This is a non-plotting AI-schematic route.

For this route:

1. Read [manifest.yaml](manifest.yaml) and the `always_load` files.
2. Read [references/ai-graphical-abstract-workflow.md](references/ai-graphical-abstract-workflow.md).
3. Read [references/openrouter-image-generation.md](references/openrouter-image-generation.md).
4. Use [scripts/generate_openrouter_schematic.py](scripts/generate_openrouter_schematic.py) when the user wants a real API call or a reproducible payload.
5. Treat output as a draft schematic / graphical abstract, not as a quantitative data panel. Do not invent experimental values, author logos, institutional marks, or unsupported mechanisms. Keep internal usefulness separate from submission eligibility.

The rest: https://github.com/Yuan1z0825/nature-skills/blob/HEAD/skills/nature-figure/SKILL.md