Data & ReproStatistics & Data AnalysisFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

data-viz-plots

Maintainer FreedomIntelligence · Last updated April 1, 2026

This skill enables you to create professional scientific visuali.

OpenClawNanoClawAnalysisReproductiondata-viz-plots📊 data science & toolsstatistics & data analysiscreate

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/data-viz-plots

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

This skill enables you to create professional scientific visualizations including scatter plots, line charts, heatmaps, violin plots, and more. Unlike cloud-hosted solutions, this skill uses the matplotlib and seaborn Python libraries and executes locally in your environment, making it compatible with ALL LLM providers including GPT, Gemini, Claude, DeepSeek, and Qwen.
sns.set_style("whitegrid") plt.rcParams['figure.dpi'] = 150 plt.rcParams['savefig.dpi'] = 300 plt.rcParams['font.size'] = 10.

Source Doc

Excerpt From SKILL.md

When to Use This Skill

Create publication-quality figures for papers and presentations
Generate exploratory data analysis (EDA) plots
Visualize gene expression, QC metrics, or clustering results
Create multi-panel figures combining different plot types
Export high-resolution images for reports
Customize plot aesthetics (colors, fonts, styles)

Step 1: Import Required Libraries

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
from matplotlib import gridspec
import matplotlib.patches as mpatches

## Create figure and axis

fig, ax = plt.subplots(figsize=(6, 5))