mcpbeat

Data Visualization

aiskillstore/data-visualization

Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.

This is a copy. The original lives at comeonoliver/data-visualization.

3k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
404
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/aiskillstore/marketplace --skill data-visualization

What comes with it

8 864 bytes besides the instruction
skill-report.json

The instruction itself

7 sections, as written by the author

Data Visualization Skill

This skill provides capabilities for creating data visualizations.

Quick Start

Using matplotlib for basic charts:

import matplotlib.pyplot as plt

# Simple line chart
plt.plot([1, 2, 3, 4], [1, 4, 2, 3])
plt.title("Sample Chart")
plt.savefig("chart.png")

Capabilities

Chart Types

  • Line charts
  • Bar charts
  • Pie charts
  • Scatter plots
  • Histograms
  • Box plots
  • Heatmaps

Libraries Supported

  • Matplotlib (static charts)
  • Seaborn (statistical visualizations)
  • Plotly (interactive charts)
  • Altair (declarative visualization)

Advanced Features

  • Multi-axis plots
  • Subplots and grids
  • Custom themes and styling
  • Annotations and labels
  • Export to various formats (PNG, SVG, PDF)

Best Practices

  • Choose the right chart type for your data
  • Use clear labels and titles
  • Consider color accessibility
  • Keep visualizations simple and focused
  • Export at appropriate resolution for intended use

How to use it

Copy the folder

Take aiskillstore/data-visualization from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.