Scientific Visualization
Handles the tedious parts of making journal-ready figures: correct DPI settings, colorblind-safe palettes, proper font sizes, and journal-specific dimensions for Nature, Science, and Cell. Ships with matplotlib style presets and export helpers that save to PDF/EPS/TIFF with the right settings. The real value is in the opinionated defaults, like enforcing Okabe-Ito colors and perceptually uniform colormaps instead of jet. It orchestrates matplotlib, seaborn, and plotly but adds structure around multi-panel layouts and significance annotations. If you've ever had a figure rejected for being 88mm instead of 89mm or using rainbow colors, this prevents that.
- skills.sh installs
- 127
- GitHub stars
- 26.9K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add k-dense-ai/claude-scientific-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/claude-scientific-skills
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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