data-viz
Create data visualizations from the command line. Generate charts, graphs, and plots from CSV/JSON data without leaving the terminal.
Why use this skill?
Learn to create terminal-based charts, graphs, and plots using the data-viz OpenClaw skill. Visualize CSV and JSON data effortlessly.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ianalloway/data-vizWhat This Skill Does
The data-viz skill empowers OpenClaw users to transform raw, character-based data into meaningful visual representations directly within the terminal environment. By integrating tools like YouPlot, termgraph, Gnuplot, and standard Unix utilities, this skill allows for the creation of bar charts, line plots, histograms, and scatter plots without needing to open external graphical software or browser-based dashboarding tools. It effectively bridges the gap between raw data processing and data visualization, making it an essential utility for data-driven workflows.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/ianalloway/data-viz
Use Cases
This skill is designed for rapid data analysis and performance monitoring. Common use cases include:
- System Monitoring: Visualize real-time CPU usage, memory consumption, or disk I/O metrics by piping standard terminal diagnostic output into plotting tools.
- API Analysis: Perform quick sanity checks on JSON responses from REST APIs by piping data through
jqand visualizing value trends. - Log Parsing: Quickly identify spikes or anomalies in log files by visualizing error counts or frequency of events over time.
- Financial Tracking: Plot stock market fluctuations or personal budget CSV exports directly in your workspace.
- Inline Reporting: Use sparklines to show data trends within logs or terminal output to provide immediate context without cluttering the screen.
Example Prompts
- "Analyze the
sales_data.csvfile in my current directory and generate a bar chart showing the total sales per month using the header as labels." - "Check the current CPU usage of my system over the last 30 seconds and plot it as a line graph in the terminal."
- "Fetch the latest JSON data from this endpoint [URL] and create a scatter plot of the value field versus the timestamp field."
Tips & Limitations
- Tips: Always use the
-Hflag when working with CSV files that contain headers to ensure data labels are correctly parsed. For live dashboards, pipe your data commands intowatch -n1to refresh your terminal plots at a set interval. - Limitations: These visualizations are character-based (ASCII/Unicode). They are not intended for complex data science tasks requiring high-resolution imagery. Very large datasets may cause terminal flicker or rendering lag; it is recommended to pipe data through
headortailto limit the input size before plotting.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ianalloway-data-viz": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, code-execution