Data Visualizer
Transforms raw datasets into clear charts and graphs for quick insights and easy understanding.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add data-visualizer npx -- -y @trustedskills/data-visualizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"data-visualizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/data-visualizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The data-visualizer skill enables AI agents to generate visual representations of data, such as charts and graphs, from structured datasets. It supports a variety of input formats including CSV, JSON, and SQL query results, making it useful for quickly transforming raw data into actionable insights.
When to use it
- To create interactive dashboards for business analytics using real-time data inputs.
- When preparing reports that require visual summaries of large datasets.
- During data exploration phases in machine learning projects to identify trends and outliers.
Key capabilities
- Supports multiple input formats: CSV, JSON, SQL query results.
- Generates common chart types like bar charts, line graphs, pie charts, and scatter plots.
- Allows customization of visual elements such as colors, labels, and axes.
Example prompts
- "Generate a bar chart from the sales data in this CSV file."
- "Create a line graph showing user growth over time using the JSON dataset provided."
- "Visualize the distribution of ages in the database with a histogram."
Tips & gotchas
- Ensure your input data is clean and properly formatted for accurate visualization.
- Some advanced customization options may require additional parameters or scripting support.
Tags
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