scientific-visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
85
75%
Does it follow best practices?
Impact
93%
1.36xAverage score across 6 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/scientific-visualization/SKILL.mdEvaluation results
94%
49%Preparing Multi-Panel Figure for Nature Submission
Multi-panel journal figure creation
configure_for_journal used
0%
100%
apply_publication_style used
0%
50%
Correct Nature single-column width
87%
100%
check_figure_size used
0%
100%
save_for_journal used
0%
100%
Okabe-Ito palette used
50%
100%
Lowercase panel labels
0%
100%
Panel labels bold, top-left
42%
100%
GridSpec layout
100%
100%
Spines removed
100%
71%
Axis labels with units
100%
100%
No JPEG output
100%
100%
82%
22%Drug Response Comparison Figure for Cell Press Submission
Seaborn statistical comparison figure
Publication style before seaborn
0%
100%
sns.set_theme paper context
0%
0%
Colorblind palette
100%
100%
Individual data points shown
100%
100%
Statistical significance marked
100%
100%
Error metric named in caption
0%
0%
Despine applied
100%
100%
Axes-level seaborn functions used
100%
100%
Axis labels with units
75%
100%
save_publication_figure used
0%
100%
No JPEG output
100%
100%
88%
29%Gene Expression Heatmap for Manuscript Figure
Heatmap colormap and accessibility
No jet or rainbow
100%
100%
Perceptually uniform for expression
0%
0%
Diverging colormap for correlation
0%
100%
Diverging map centered at zero
40%
100%
No red-green diverging
100%
100%
Colormap rationale documented
90%
100%
save_publication_figure used
0%
100%
No JPEG output
100%
100%
Colorbar labeled
100%
100%
No 3D effects
100%
100%
100%
20%Preparing Cell Press Figures: Typography Audit and Correction
Typography and font compliance
Sans-serif font family
100%
100%
Arial or Helvetica specified
100%
100%
Axis label font size
100%
100%
Tick label font size
100%
100%
configure_for_journal used
0%
100%
Legend frameon=False
100%
100%
Sentence case axis labels
100%
100%
Units in parentheses
100%
100%
Bar chart y-axis starts at zero
100%
100%
Spines removed
100%
100%
save_publication_figure or save_for_journal used
0%
100%
No JPEG output
100%
100%
98%
23%Accessible Multi-Condition Time-Series Figure for Open Access Journal
Redundant encoding and grayscale accessibility
Distinct line styles used
100%
100%
Distinct markers used
100%
100%
Colorblind-safe palette
100%
100%
apply_publication_style used
0%
75%
Grayscale version saved
100%
100%
accessibility_notes.md lists encodings
100%
100%
save_publication_figure used
0%
100%
Spines removed
100%
100%
Axis labels with units
100%
100%
No JPEG output
100%
100%
Legend frameon=False
0%
100%
100%
10%Interactive and Static Figures for Manuscript Supplementary Materials
Plotly publication export
plot_bgcolor white
100%
100%
Font family sans-serif
100%
100%
Font size publication-appropriate
0%
100%
Colorblind-safe palette
100%
100%
write_image scale=3
100%
100%
Static image NOT JPEG
100%
100%
HTML export included
100%
100%
figure_notes.md scale explanation
100%
100%
Axis labels with units
100%
100%
Legend visible
100%
100%
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
086de41
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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