Data Visualization for Openclaw

Create high-impact, professional data visualizations using expert design principles and automated chart generation tools.

okaris
v0.1.5
Feb 18, 2026
0
5.9k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install data-visualization-2

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-visualization-2 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?

This skill provides a comprehensive framework for creating effective data visualizations that go beyond simple graphing. By integrating with Openclaw Skills, developers and analysts can leverage proven design rules for axes, color theory, and chart selection to transform raw data into compelling visual stories. It emphasizes clarity, accessibility, and professional aesthetics, ensuring that every chart conveys a clear insight rather than just displaying numbers.

The skill covers the entire lifecycle of data presentation, from choosing between bar and line charts to implementing advanced Python-based rendering. By following these best practices, you can avoid common pitfalls like misleading axes or cluttered designs, making your data more actionable and persuasive.

Data Visualization Use Cases

  • Generating automated reports and dashboards with Python-based chart execution via Openclaw Skills.
  • Selecting the optimal chart type based on specific data relationships like correlation, ranking, or distribution.
  • Implementing professional design standards for executive presentations and technical infographics.
  • Creating accessible, colorblind-safe visualizations to ensure inclusivity for all users.
  • Automating the generation of KPI cards and heatmaps for web application status pages.

How Data Visualization Works

  1. Initialize the environment by installing the inference.sh CLI to access remote execution tools compatible with Openclaw Skills.
  2. Analyze the specific data relationship (e.g., change over time, part-to-whole) to select the most effective chart type.
  3. Apply core design rules for axes scaling, typography, and color palettes to ensure visual clarity and reduce noise.
  4. Execute Python scripts or HTML-to-image tools via the CLI to generate high-resolution image assets from raw data.
  5. Refine the output with annotations and insight-driven titles that state the takeaway rather than just the data category.

Data Visualization Setup

To get started with this data visualization skill within the ecosystem of Openclaw Skills, install the inference.sh CLI using the following command:

curl -fsSL https://cli.inference.sh | sh && infsh login

Once logged in, you can run the Python executor to generate your first chart:

infsh app run infsh/python-executor --input '{"code": "import matplotlib.pyplot as plt\n..."}'

Data Visualization Data Schema & Taxonomy

The skill organizes visualization data and metadata through code-defined parameters and structured outputs.

Component Description Format
Source Data Numerical arrays or structured time-series data Python Lists / NumPy
Styling Hex-based color palettes and Matplotlib parameters Python Dict
Output Rendered image files or HTML snippets PNG, JPG, HTML
Annotations Text-based callouts, reference lines, and arrows String Metadata
Context Storytelling arc and insight-driven titles String

Data Visualization Advanced Features

  • Automated dark mode chart generation for seamless integration into modern dark-themed UIs.
  • Dynamic KPI card creation using high-performance HTML-to-image conversion tools within Openclaw Skills.
  • Support for complex visualizations including heatmaps, Sankey diagrams, and choropleth maps.
  • Customizable colorblind-safe palettes and sequential, diverging, or categorical color schemes.
  • Seamless integration with other Openclaw Skills for automated pitch deck creation and technical blogging.

SKILL.md


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