Scientific Visualization
This handles the tedious parts of making publication-ready scientific figures: journal-specific formatting, colorblind-safe palettes, multi-panel layouts, and export at the right DPI. It wraps matplotlib, seaborn, and plotly with presets for Nature, Science, and Cell requirements. You get utilities for checking figure dimensions, applying the Okabe-Ito palette, and saving in PDF/EPS/TIFF with proper resolution. The real value is not having to remember that Nature wants 89mm single-column figures or that you should never use jet colormaps. If you're just exploring data, skip this and use seaborn directly. This is for when reviewers will reject your manuscript because your fonts are too small.
- skills.sh installs
- 2.6K
- GitHub stars
- 56.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill scientific-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Scientific Visualization
Build figures that preserve scientific meaning before optimizing appearance. Separate universal principles from dated publisher rules, preserve raw data and transformations, use color redundantly, and inspect delivered files rather than trusting plotting defaults.
Non-negotiable guardrails
- Never alter, hide, invent, or selectively enhance data to improve a figure.
- Preserve raw tables/images, exclusions, missing-value codes, analysis code, normalization, binning, image adjustments, and random seeds.
- Do not infer journal requirements. Identify the exact journal, article type, figure type, and submission phase; verify its live official guidance.
- Do not claim that a palette, DPI value, format, or automated report makes a figure accessible or journal-compliant.
- Do not silently connect missing observations, suppress inconvenient points, upsample images as if detail increased, or tune axes/dual axes to exaggerate a conclusion.
- Keep interactive and static outputs as distinct deliverables. Interactive hover is not a substitute for labels, alt text, keyboard access, an accessible data table, or a static fallback.
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- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Categories
- Git & Pull Requests, Code Review & Quality, AI & Agent Building, Data Science & ML, Productivity & Planning, Design & UI/UX
- First seen
- Jun 3, 2026
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