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reversa-highcharts-visualizer

Generate interactive Highcharts visualizations from datasets into standalone HTML files.

Updated May 16, 2026
Search Tags:#data visualization#dashboard#generate#tooltips#interactive charts#highcharts#standalone html
One-click install
npx skills add https://github.com/ricardops34/rcg-crm --skill reversa-highcharts-visualizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reversa-highcharts-visualizer
Source: https://github.com/ricardops34/rcg-crm/tree/main/.agents/skills/reversa-highcharts-visualizer
Command: npx skills add https://github.com/ricardops34/rcg-crm --skill reversa-highcharts-visualizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns raw numeric/categorical data into professional, interactive Highcharts visualizations, avoiding the manual effort of writing charts from scratch.

Core Features & Use Cases

  • Standalone HTML dashboards: Produces a single self-contained HTML file with responsive, animated charts.
  • Data ingestion from multiple formats: Accepts inline data, CSV/JSON, Excel sheets, or remote URLs and embeds the processed values into the output.
  • Smart chart-type selection: Infers the best Highcharts chart type from your data characteristics (time series, categories, KPIs, distributions, correlations, hierarchies).
  • Production-ready requirements: Ensures accessibility, exports module support, and pinned Highcharts version behavior with local-vendor preference.
  • Use case: Give it a sales dataset (CSV/JSON) and request a dashboard with trends, category comparisons, and KPIs rendered as standalone HTML for sharing or embedding.

Quick Start

Request an HTML standalone chart by describing the dataset and the chart goal, for example: "Generate a Highcharts HTML standalone line chart for my monthly revenue data with tooltips and an accessible theme."

Frequently Asked Questions about reversa-highcharts-visualizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate standalone HTML charts from CSV or JSON data?▼

To generate standalone HTML charts, provide your CSV or JSON data and describe your visualization goal. The system infers the best Highcharts chart type, embeds the processed values, and produces a single self-contained HTML file with responsive, interactive visualizations.

Can I create an interactive dashboard with multiple chart types in one file?▼

Yes, you can create an interactive dashboard by providing your dataset and requesting multiple visualizations like trend lines, category comparisons, and KPI gauges. The output is a single standalone HTML file containing all rendered charts with tooltips and responsive behavior.

What is the best way to visualize time-series trends and category comparisons together?▼

The best way to visualize time-series trends and category comparisons together is to supply your numeric and categorical data. The system automatically infers appropriate Highcharts types from data characteristics, rendering a unified dashboard with interactive tooltips and an accessible theme.

Does Highcharts visualization support offline-capable rendering?▼

Yes, Highcharts visualization supports offline-capable rendering. The generated standalone HTML file embeds all processed data values and uses a pinned Highcharts version with local-vendor preference, ensuring the interactive charts function without requiring an active internet connection.

How do I add accessibility and exporting modules to interactive charts?▼

Accessibility and exporting modules are automatically included in the generated interactive charts. The production-ready output ensures compliance with accessibility standards and adds export functionality natively within the standalone HTML deliverable without manual configuration.

Can I use remote URLs to supply data for generating a Highcharts dashboard?▼

Yes, you can use remote URLs to supply data for generating a Highcharts dashboard. The data ingestion accepts inline data, CSV/JSON files, Excel sheets, or remote URLs, processing the fetched values into embedded interactive visualizations within the standalone HTML output.

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