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
Bashruns 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.
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same name cannot sit side by side — one of them will be ignored.