Nature Figure
Create, revise, audit or polish submission-grade manuscript figures for Nature-family...
Install
npx skills add Boom5426/Nature-Paper-Skills --skill nature-figure -g -a claude-code -y- Repository
- Boom5426/Nature-Paper-Skills646
- Category
- Design
- Updated
- 22d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 1,985 tokens
- Runs scripts
- Yes, review before use
What it does
Create, revise, audit or polish submission-grade manuscript figures for Nature-family and other high-impact journals using Python or R. Covers multi-panel scientific plots, matplotlib/seaborn, ggplot2/patchwork/ComplexHeatmap and journal-ready SVG/PDF/TIFF exports. Also use for OpenRouter GPT Image 2 graphical abstracts, concept or mechanism schematics when the user explicitly requests AI generation. Establish the figure conclusion, evidence logic and exports before execution; honor the chosen or saved plotting backend. Trigger on paper figures, scientific/academic plotting, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化、论文示意图、机制示意图、图形摘要. Not for dashboards or Illustrator/Figma-first infographics.
Nature Figure Making, Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (the figure contract and default stance, plus a per-backend quick-start for Python and R). - A dynamic layer (this file plus
manifest.yaml) that detects the plotting backend and loads only the fragment needed for the current job. The large design, API, pattern, and QA material lives in on-demand references.
Do not try to apply the figure logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these steps every time the skill is invoked.
0. Check for the OpenRouter AI-schematic route
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:
- Read manifest.yaml and the
always_loadfiles. - Read references/openrouter-image-generation.md.
- Use scripts/generate_openrouter_schematic.py when the user wants a real API call or a reproducible payload.
- 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.
Only continue to the Python/R backend gate for plotting, charting, data visualization, or manuscript figure assembly tasks that are not explicit OpenRouter AI image-generation requests.
1. Load the manifest and the core layer
Read manifest.yaml. It declares the backend axis, the allowed values, and the file paths each value maps to.
