A powerful toolset for generating Unicode charts, graphs, and ASCII tables directly in the terminal from raw data sources.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-viz
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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.
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 |
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