scientific-visualization-tools
OfficialCreate publication-ready scientific plots.
AuthorDrugClaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation of static and interactive scientific visualizations, enabling researchers to generate publication-quality figures and exploratory data plots efficiently.
Core Features & Use Cases
- Static Publication Plots: Generates publication-ready figures (scatter, box, violin, bar, heatmap) using libraries like Seaborn and Matplotlib.
- Interactive Charts: Creates interactive HTML charts using Plotly for exploratory data analysis and dashboards.
- Use Case: Generate a publication-quality box plot showing drug response across different treatment arms from a CSV file.
Quick Start
Use the scientific-visualization-tools skill to create a box plot from the file figures/assay.csv, using 'arm' for the x-axis, 'response' for the y-axis, and 'arm' for color, saving the output to figures/assay_box.png.
Dependency Matrix
Required Modules
pandasmatplotlibseabornplotly
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-visualization-tools Download link: https://github.com/DrugClaw/DrugClaw/archive/main.zip#scientific-visualization-tools Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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