Data Visualization CLI for Openclaw

A powerful toolset for generating Unicode charts, graphs, and ASCII tables directly in the terminal from raw data sources.

ianalloway
v0.1.0
Feb 15, 2026
0
2.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install data-viz

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install data-viz using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Data Visualization CLI?

The Data Visualization skill enables developers and data scientists to create sophisticated visual representations of data without leaving the command line. By leveraging tools like YouPlot and termgraph, users can transform CSV, JSON, or live piped streams into readable Unicode bar charts, line graphs, and histograms. This Openclaw Skills utility is essential for quick data exploration, monitoring system metrics, or analyzing API responses in a headless environment.

Whether you are analyzing stock market trends or debugging server performance, this skill provides the visual context needed for rapid decision-making. It bridges the gap between raw data streams and human-readable insights by utilizing the power of the terminal's text-rendering capabilities.

Data Visualization CLI Use Cases

  • Monitoring real-time system metrics like CPU usage or memory consumption over time.
  • Visualizing stock prices or financial time-series data fetched from JSON APIs.
  • Generating quick distributions and histograms from large log files during debugging.
  • Formatting raw CSV data into readable ASCII tables for documentation or terminal reports.
  • Creating inline sparklines for compact status reporting within automation scripts.

How Data Visualization CLI Works

  1. Ingest data from local files (CSV/JSON) or via standard input pipes from other terminal commands.
  2. Parse the data using specified delimiters or external tools like jq for complex JSON hierarchies.
  3. Select the preferred visualization type, such as bar charts, line plots, scatter plots, or histograms.
  4. Render the visualization using Unicode characters or ASCII directly in the terminal buffer.
  5. Optionally use continuous monitoring tools like watch to create live-updating dashboards.

Data Visualization CLI Setup

To get started with this Openclaw Skills integration, you need to install the primary visualization engines. Use the following commands based on your environment:

# Install YouPlot (Ruby-based engine)
gem install youplot

# Install termgraph (Python-based engine)
pip install termgraph

Ensure that curl is installed on your system for fetching remote data sources.

Data Visualization CLI Data Schema & Taxonomy

The skill processes structured text data and outputs terminal-friendly visuals. It supports various data mappings:

Input Format Description Primary Tool
CSV Comma-separated values with optional headers uplot, termgraph
JSON Key-value pairs typically extracted via jq uplot
Piped Stream Raw numeric or categorical data from stdout uplot, spark
Tabular Tab-separated or column-aligned text column, csvlook

Data Visualization CLI Advanced Features

  • Live-updating charts using the watch command for real-time performance monitoring.
  • Seamless integration with jq for complex JSON data extraction and nested plotting.
  • Support for high-resolution Unicode scatter plots and mathematical function rendering.
  • Multi-engine support including Gnuplot for publication-quality terminal output.
  • Pure bash sparkline generation for environments with minimal dependencies.
  • Custom color mapping for improved data differentiation in complex charts.

SKILL.md


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