data-viz

Name: data-viz
Availability: InStock
Author: AltimateAI

Create interactive data visualizations and dashboards with code-based libraries.

792|138|Updated Feb 27, 2026

Search Tags:#react #data #dashboard #visualization #charting #annotations #d3

Ready to run

npx skills add https://github.com/AltimateAI/altimate-code --skill data-viz-altimateai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-viz
Source: https://github.com/AltimateAI/altimate-code/tree/main/.opencode/skills/data-viz
Command: npx skills add https://github.com/AltimateAI/altimate-code --skill data-viz-altimateai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables teams to turn raw data into interactive visualizations and dashboards using code-based libraries, reducing dependence on BI tools and enabling precise storytelling.

Core Features & Use Cases

Code-first visualization: build production-ready charts and dashboards with modern libraries (shadcn/ui charts, Recharts, Tremor, Nivo, D3, visx) for web interfaces.
Data storytelling: annotate charts, compare against benchmarks, and highlight key insights in narratives.
Flexible deployment: adapt visuals to React, HTML/JS, or Python environments, and embed visuals into apps, reports, or terminals.

Quick Start

Create an interactive data visualization by selecting a chart type and library, and wire it to your dataset.

Frequently Asked Questions about data-viz

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

FAQPage Schema

How do I create interactive data visualizations using React and D3?▼

You can create interactive data visualizations in React using code-first libraries like Recharts, Tremor, Nivo, D3, and visx to build production-ready charts and dashboards directly within your web interfaces.

What is the best way to build a KPI monitoring dashboard with code?▼

The best way to build a KPI monitoring dashboard with code is using modern charting libraries such as shadcn/ui charts, Recharts, or Tremor, enabling precise data storytelling and reducing dependence on traditional BI tools.

Can I use code-based charting libraries for data storytelling and annotations?▼

Yes, code-based charting libraries support data storytelling by allowing you to annotate charts, compare data against benchmarks, and highlight key insights within analytical narratives.

Does this approach to data visualization work with Python environments?▼

Yes, this code-first visualization approach adapts flexibly to Python environments, allowing you to embed interactive visuals directly into apps, reports, or terminal outputs alongside React and HTML/JS.

How do I ensure responsive design and accessibility in interactive dashboards?▼

You ensure responsive design and accessibility in interactive dashboards by applying built-in guidelines for layout patterns and accessibility provided alongside code-first charting libraries like Nivo and visx.

When should I choose code-first visualization over standard BI tools?▼

Choose code-first visualization over standard BI tools when you need to turn raw data into highly customized, interactive visuals and dashboards, enabling precise storytelling without the constraints of off-the-shelf platforms.