Visualization
Skill BioTender-max/awesome-bio-agent-skills/skills/labclaw/visualization
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.From the repository description
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill visualizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Scientific Visualization
Overview
Publication-quality scientific figure generation. GENERAL: language-agnostic (R, Python, Julia, or any tool).
Aesthetic System (ScienceClaw Standard)
Palette Selection
| Group Count | Recommended Palette |
|---|---|
| 2-5 groups | NPG or Lancet |
| 6-12 groups | Paired |
| >12 groups | colorRampPalette |
| Diverging data | RdBu |
| Sequential data | viridis |
| Up/Down/NS | "#E64B35" / "#4DBBD5" / "#999999" |
Journal Figure Sizing
| Format | Width | Height | Base Size | DPI |
|---|---|---|---|---|
| Single column | 8.5 cm | 7 cm | 11 pt | 300 |
| 1.5 column | 12 cm | 9 cm | 12 pt | 300 |
| Double column | 17.5 cm | 10 cm | 13 pt | 300 |
| PPT | 25 cm | 18 cm | 16 pt | 150 |
Theme Rules
- Clean, minimal. No unnecessary gridlines.
- theme_classic() or theme_bw() as starting points (R) / white background in matplotlib
- Consistent margins across all figures in a project
- Arial or Helvetica font family
Code Rules
- Adjustable parameters at the TOP of every script
- Return the plot object (don't hardcode file saving)
- Output formats: PNG (300+ dpi), PDF (vector), SVG
Chart Type Guide
- Distribution: boxplot, violin, density, histogram, jitter
- Comparison: barplot, grouped bar, dotplot, radar
- Correlation: scatter, correlation matrix, bubble
- Composition: pie, ring, Venn, UpSet, stacked bar
- Genomics: volcano, Manhattan, Q-Q, GSEA, UMAP/tSNE, heatmap
- Survival: Kaplan-Meier, Cox forest plot
- Network: Sankey, chord, network graph
- Spatial: spatial transcriptomics, geographic
35 Detailed Chart Skill References
Available in mcp-servers/visualization/skills/ — one .md file per chart type with full aesthetic guidelines, data requirements, and code examples.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.