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Creating Data Visualizations Skill for Claude

Generate plots, charts, and graphs from data with automatic visualization type selection. Use when requesting "visualization", "plot", "chart", or "graph". Trigger with phrases like ''generate'', ''create'', or ''scaffold''. '

2k tokens
context cost
the whole folder, loaded on every use
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
2679
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/jeremylongshore/tons-of-skills-marketplace --skill creating-data-visualizations

What comes with it

5 840 bytes besides the instruction
assets/README.md
references/README.md
scripts/README.md
scripts/data_analyzer.py

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

14 sections, as written by the author

Data Visualization Creator

Generate plots, charts, and graphs from data with automatic visualization type selection based on data characteristics.

Overview

This skill empowers Claude to transform raw data into compelling visual representations. It leverages intelligent automation to select optimal visualization types and generate informative plots, charts, and graphs. This skill helps users understand complex data more easily.

How It Works

  • Data Analysis: Claude analyzes the provided data to understand its structure, type, and distribution.
  • Visualization Selection: Based on the data analysis, Claude selects the most appropriate visualization type (e.g., bar chart, scatter plot, line graph).
  • Visualization Generation: Claude generates the visualization using appropriate libraries and best practices for visual clarity and accuracy.

When to Use This Skill

This skill activates when you need to:

  • Create a visual representation of data.
  • Generate a specific type of plot, chart, or graph (e.g., "create a bar chart").
  • Explore data patterns and relationships through visualization.

Examples

Example 1: Visualizing Sales Data

User request: "Create a bar chart showing sales by region."

The skill will:

  • Analyze the sales data, identifying regions and corresponding sales figures.
  • Generate a bar chart with regions on the x-axis and sales on the y-axis.

Example 2: Plotting Stock Prices

User request: "Plot the stock price of AAPL over the last year."

The skill will:

  • Retrieve historical stock price data for AAPL.
  • Generate a line graph showing the stock price over time.

Best Practices

  • Data Clarity: Ensure the data is clean and well-formatted before requesting a visualization.
  • Specific Requests: Be specific about the desired visualization type and any relevant data filters.
  • Contextual Information: Provide context about the data and the purpose of the visualization.

Integration

This skill can be integrated with other data processing and analysis tools within the Claude Code environment. It can receive data from other skills and provide visualizations for further analysis or reporting.

Prerequisites

  • Appropriate file access permissions
  • Required dependencies installed

Instructions

  • Invoke this skill when the trigger conditions are met
  • Provide necessary context and parameters
  • Review the generated output
  • Apply modifications as needed

Output

The skill produces structured output relevant to the task.

Error Handling

  • Invalid input: Prompts for correction
  • Missing dependencies: Lists required components
  • Permission errors: Suggests remediation steps

Resources

  • Project documentation
  • Related skills and commands

How to use it

Copy the folder

Take jeremylongshore/creating-data-visualizations 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.