Do I need to install chartli manually before using this?

No, the skill utilizes npx to run chartli, which automatically handles the execution and temporary installation on the first run.

How do I save a terminal chart for a presentation or website?

You can use the 'svg' output type which generates vector XML data. This can be piped into a .svg file for use in web pages or markdown documentation.

Can I visualize multiple data series at once?

Yes, for chart types like sparklines, bars, heatmaps, and Unicode bars, you can provide multi-column data to render separate series for comparison.

What chart types are supported by this skill?

The skill supports a wide variety of formats including ASCII line charts, sparklines, horizontal/vertical bars, heatmaps, Unicode bars, braille plots, and SVG exports.

Terminal Data Visualization

Name: Terminal Data Visualization
Author: 2lab-ai

by2lab-ai

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Analytics & Monitoring

Renders numeric data as terminal-based charts including ASCII, sparklines, and heatmaps for instant CLI insights.

This skill empowers Claude to transform raw numeric data into intuitive visual representations directly within the terminal interface. By leveraging the chartli utility, it supports a diverse range of formats including ASCII line charts, compact sparklines, high-density braille plots, and heatmaps. It is an essential tool for developers and data analysts who need to quickly identify trends in logs, performance metrics, or Git history during their iterative development loops, allowing for data-driven decisions without switching contexts.

Key Features

01Supports multiple chart types: ASCII, sparklines, bars, columns, heatmaps, and braille.

02Enables seamless data piping from command outputs, stdin, or files.

03Provides high-resolution plotting using 2x4 Unicode braille character matrices.

04Supports SVG export for embedding terminal-generated charts into external documentation.

05Handles both single-series and multi-series numeric data formats.

0633 GitHub stars

Use Cases

01Visualizing Git activity and project growth metrics directly in the repository.

02Monitoring system resource usage like CPU and memory trends over time.

03Quickly analyzing numeric logs or CSV data outputs during debugging sessions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add 2lab-ai/oh-my-claude using-terminal-charts

For use in Claude.ai and ChatGPT

Key Features

01Supports multiple chart types: ASCII, sparklines, bars, columns, heatmaps, and braille.

02Enables seamless data piping from command outputs, stdin, or files.

03Provides high-resolution plotting using 2x4 Unicode braille character matrices.

04Supports SVG export for embedding terminal-generated charts into external documentation.

05Handles both single-series and multi-series numeric data formats.

0633 GitHub stars

Use Cases

01Visualizing Git activity and project growth metrics directly in the repository.

02Monitoring system resource usage like CPU and memory trends over time.

03Quickly analyzing numeric logs or CSV data outputs during debugging sessions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add 2lab-ai/oh-my-claude using-terminal-charts

For use in Claude.ai and ChatGPT