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Data & ReproScientific VisualizationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
DA

data-visualization-biomedical

Maintainer FreedomIntelligence · Last updated April 1, 2026

Biomedical-specific data visualization: clinical trial plots, survival curves, forest plots.

OpenClawNanoClawAnalysisWritingdata-visualization-biomedical🧠 bioos extended suiteclinical ai & healthcarebiomedical

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/data-visualization-biomedical

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • plt.rcParams.update({ 'font.family': 'Arial', 'font.size': 8, 'axes.labelsize': 8, 'axes.titlesize': 9, 'xtick.labelsize': 7, 'ytick.labelsize': 7, 'legend.fontsize': 7, 'figure.dpi': 300, 'savefig.dpi': 300, 'savefig.bbox': 'tight', 'axes.linewidth': 0.5, 'xtick.major.width': 0.5, 'ytick.major.width': 0.5, }).
  • NATURE_COLORS = ['#E64B35', '#4DBBD5', '#00A087', '#3C5488', '#F39B7F', '#8491B4'] BLOOD_COLORS = ['#D62728', '#1F77B4', '#2CA02C', '#FF7F0E', '#9467BD', '#8C564B'].

Source Doc

Excerpt From SKILL.md

Publication-Quality Settings

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import pandas as pd

## Export for Journals

See `references/color_guidelines.md` for accessibility standards.
See `scripts/figure_templates.py` for pre-built templates.

Use cases

  • Use data-visualization-biomedical to prepare publication-quality figures.
  • Apply data-visualization-biomedical when results need clear visual communication.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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