Agent skill · creative production · yuan1z0825
nature-figure
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, 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. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.
Why this skill is useful
Adds specific scripts and protocols for generating high-quality scientific figures that are tailored for publication, which the AI wouldn't reliably generate on its own.
What it needs
Requires python, r installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 33,818 stars on the source repository.
What this skill does
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 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 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 and the alwaysload files. 2. Read references/ai-graphical-abstract-workflow.md. 3. Read references/openrouter-image-generation.md. 4. Use scripts/generateopenrouterschematic.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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills yuan1z0825/nature-figure