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nature-figurelisted

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.
szzjayson25-hub/nature-academic-skills · ★ 0 · AI & Automation · score 70
Install: claude install-skill szzjayson25-hub/nature-academic-skills
# Nature Figure Making — Router ## Additional configured journals For Applied Soft Computing (ASC), Engineering Applications of Artificial Intelligence (EAAI), ISA Transactions, Knowledge-Based Systems (KBS), Measurement, Neurocomputing, or IEEE Transactions on Reliability, use `../nature-shared/journal-formats/index.md` to resolve the exact journal. Preserve this skill’s task workflow and evidence safeguards. Apply only the selected reference’s relevant scope; do not impose flagship-Nature significance or import another journal’s numerical, citation, or production defaults. These seven profiles do not yet establish verified official submission limits; verify the target’s current official source when such requirements affect work. ## ESWA journal context When the target is Expert Systems with Applications (`ESWA` or `Expert Syst. Appl.`, case-insensitive), read `../nature-shared/journal-formats/eswa.md` before applying journal-specific defaults. Use its artwork, composite-figure, caption and AI-disclosure rules before setting the figure contract. For ML/RUL visual planning, also read `../nature-shared/core/eswa-ml-rul-style.md`. Keep the existing plotting/backend workflow; ESWA rules override incompatible Nature/NMI export defaults. 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** (thi