data-viz-expert

Translate data into visuals for dashboards and interactive analytics.

3|2|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/grasberg/sofia --skill data-viz-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-viz-expert
Source: https://github.com/grasberg/sofia/tree/main/workspace/skills/data-viz-expert
Command: npx skills add https://github.com/grasberg/sofia --skill data-viz-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data visualization makes raw data accessible by turning numbers into clear visuals that reveal trends, patterns, and outliers, enabling faster and better decision-making.

Core Features & Use Cases

  • Chart selection guidance to choose appropriate visuals (bar, line, histogram, scatter, choropleth) for different questions and audiences.
  • Dashboard design & storytelling principles to convey findings with clarity and impact, including layout, hierarchy, and annotations.
  • Tool-agnostic guidance that covers D3.js, Plotly, Observable, Python/matplotlib, and BI tools, with accessibility considerations.

Quick Start

Design your first visualization by selecting an appropriate chart for a given dataset and audience.

Frequently Asked Questions about data-viz-expert

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

FAQPage Schema
How do I choose the right chart for my data visualization?▼

Data visualization dashboards are built using design and storytelling principles that establish layout, hierarchy, and annotations. This ensures findings are conveyed with clarity and impact to support decision-makers.

Does this data visualization guidance work with D3.js and Plotly?▼

Yes, it supports D3.js, Plotly, Observable, Python/matplotlib, and BI tools with tool-agnostic design. It applies accessibility-first guidelines and best-practice chart selection across these spreadsheet pipelines and frameworks.

How do I build dashboards that tell a story with data?▼

Building storytelling dashboards requires applying design principles like layout, visual hierarchy, and annotations. This Skill guides you to convey findings with clarity and impact for analysts and decision-makers.

Can I use this guidance for spreadsheet pipelines and BI tools?▼

Yes, you can apply this guidance to spreadsheet pipelines and BI tools. It supports tool-agnostic design and accessibility-first guidelines to translate raw data into actionable visuals for reports.

What is the best way to apply accessibility-first guidelines to data visualization?▼

The best way to apply accessibility-first guidelines to data visualization is through repeatable workflows that ensure tool-agnostic design compliance. This Skill integrates these considerations directly into chart selection and dashboard design.