An intelligent AI agent skill that automatically analyzes dataset features to generate optimized, interactive HTML data visualization dashboards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-visualization-cloud
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install data-visualization-cloud 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 Skill?
The Data Visualization Skill is a powerful extension for Openclaw Skills designed to bridge the gap between raw data and actionable visual insights. By utilizing advanced AI analysis, this skill examines data characteristics such as dimensions, correlations, and distributions to automatically recommend and render the most effective chart types. It effectively removes the guesswork from data storytelling, allowing users to generate professional-grade, interactive dashboards without manual configuration.
Built on top of industry-standard Python libraries including Plotly and Pandas, the skill produces standalone HTML files that are both responsive and feature-rich. Whether you are dealing with time-series trends, categorical comparisons, or complex multi-dimensional correlations, this skill provides a streamlined workflow for transforming CSV or structured data into visual intelligence.
Data Visualization Skill Use Cases
- Rapid exploratory data analysis (EDA) for newly acquired or unknown datasets.
- Automated generation of professional stakeholder reports and interactive presentations.
- Visualizing complex data relationships using heatmaps, violin plots, and parallel coordinates.
- Building responsive web-based dashboards for monitoring key performance indicators (KPIs).
How Data Visualization Skill Works
- The AI agent receives structured data input, such as a CSV file or tabular data strings.
- The system performs an intelligent feature analysis to identify numerical columns, categorical variables, and time-series data.
- Based on the data profile, the skill selects an optimal combination of up to 15 prioritized chart types.
- The scripts/generate_chart.py engine processes the data using NumPy and Pandas to calculate distributions and correlations.
- Interactive components are rendered via Plotly and compiled into a single, cohesive HTML dashboard file.
- The resulting output is delivered as a responsive file ready for browser-based viewing with zoom and pan capabilities.
Data Visualization Skill Setup
To use this skill within your Openclaw Skills environment, ensure you have the necessary Python dependencies installed:
pip install plotly pandas numpy
You can then generate a dashboard by running the provided script with your data source:
python scripts/generate_chart.py --input your_data.csv --output dashboard.html
Data Visualization Skill Data Schema & Taxonomy
The skill organizes its analysis and output according to the following structure:
| Data Component | Description |
|---|---|
| Input Formats | Supports CSV, structured JSON, and tabular data frames. |
| Chart Archetypes | Includes Bar, Line, Pie, Scatter, Histogram, Box, Violin, Area, Heatmap, Parallel Coordinates, and Sunburst. |
| Analysis Metadata | Tracks data types, dimension counts, and statistical correlations. |
| Output Asset | Single-file responsive HTML with integrated Plotly.js assets. |
Data Visualization Skill Advanced Features
- Intelligent recommendation engine that matches chart types to specific data characteristics (e.g., Violin plots for density, Sunburst for hierarchy).
- Automatic correlation matrix generation via Heatmaps for rapid feature engineering insights.
- Support for multi-dimensional visualization using Parallel Coordinates to identify clusters.
- Fully interactive UI elements including hover-state tooltips, dynamic scaling, and box-selection tools.
- Responsive design architecture ensuring dashboards function seamlessly across mobile and desktop displays.
SKILL.md
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