data-viz-plots
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill data-viz-plots --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Visualization (Universal) ## Overview 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. ## 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) ## How to Use ### Step 1: Import Required Libraries ```python 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 # Set style for publication-quality plots sns.set_style("whitegrid") plt.rcParams['figure.dpi'] = 150 plt.rcParams['savefig.dpi'] = 300 plt.rcParams['font.size'] = 10 ``` ### Step 2:
- Overview
- When to Use This Skill
- How to Use
- Step 1: Import Required Libraries
- Step 2: Basic Scatter Plot
- Step 3: Line Plot with Multiple Series
- Step 4: Box Plot and Violin Plot
- Step 5: Heatmap
- Step 6: Bar Plot with Error Bars
- Advanced Features
- Multi-Panel Figure
- Custom Color Palette
- Density Plot
- Common Use Cases
What does the data-viz-plots skill do?
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill data-viz-plots --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.