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data-visualization

Generate bar charts, pie charts, timelines, data tables, and metrics cards from structured inputs.

Updated Aug 23, 2026
Search Tags:#timeline#charts#metrics#dashboard#visualization#data-table
One-click install
npx skills add https://github.com/igot-ai/os-twin --skill data-visualization-igot-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/igot-ai/os-twin/tree/main/.agents/skills/roles/reporter/data-visualization
Command: npx skills add https://github.com/igot-ai/os-twin --skill data-visualization-igot-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates raw data into ready-to-read visual components, transforming tedious data interpretation into actionable insights.

Core Features & Use Cases

  • Visual charts (bar_chart, pie_chart) for category comparisons
  • Timelines for sequential milestones and roadmaps
  • Metrics cards for KPI snapshots and performance summaries
  • Data tables for structured data views

Quick Start

Provide a structured dataset and I will generate the corresponding visual components.

Frequently Asked Questions about data-visualization

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

FAQPage Schema
How do I create charts and dashboards from structured data?▼

To create charts and dashboards, provide a structured dataset to generate ready-to-read visual components like bar charts, pie charts, timelines, and metrics cards for reports.

What types of data visualizations can I generate for reports?▼

You can generate bar charts and pie charts for category comparisons, timelines for sequential milestones, metrics cards for KPI snapshots, and data tables for structured views.

Can I use structured data to build a timeline for sequential milestones?▼

Yes, you can use structured data to build a timeline for sequential milestones. The visualization process transforms your sequential inputs into clear roadmaps and milestone views.

How do I generate metrics cards for KPI snapshots from raw data?▼

To generate metrics cards for KPI snapshots, input your raw performance data. The system aggregates this data into ready-to-read metrics cards for performance summaries.

Does the data visualization tool enforce formatting rules for labels and headings?▼

Yes, the data visualization tool enforces formatting rules for labels, headings, and data values to ensure your visual components are clear and consistently formatted.

What is the best way to transform raw data into actionable insights?▼

The best way to transform raw data into actionable insights is by aggregating it into visual components. This converts tedious data interpretation into clear, ready-to-read visual outputs.

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