Receber por email
← Voltar para o catálogo

data-viz

Transform raw data into compelling interactive visualizations — dashboards, maps, network graphs, and Sankey diagrams.

16estrelas
Atualizado há 7 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add inbharatai/claude-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/data-viz/svg)](https://www.skillteca.com.br/skills/data-viz)
#ai

Skills relacionadas

Ver todas de Dados e Análise →

Alerta por categoria

Receba novas skills de Dados e Análise toda segunda

1 email curto, só com as skills novas de Dados e Análise. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Data Visualization

Overview

Transform raw data into compelling interactive visualizations — dashboards, maps, network graphs, and Sankey diagrams.

When to Use This Skill

Use Data Visualization when you need to:

  • Work with data visualization tasks in your project or workflow
  • Automate data visualization operations at scale
  • Generate production-quality data visualization output quickly

Instructions

When this skill is active, Claude will:

  1. Understand the full context of your data visualization request
  2. Apply best practices and conventions for Creative & Design
  3. Produce clean, well-structured, production-ready output
  4. Explain key decisions and offer alternatives where relevant

Examples

Example 1 — Basic Usage

User: Help me get started with data visualization.

Claude: I'll walk you through the essential steps for data visualization in your context...

Example 2 — Advanced Usage

User: I need a production-ready data visualization setup with full error handling.

Claude: Here's a complete, production-hardened data visualization implementation...

Guidelines

  • Always validate inputs before processing
  • Follow the conventions of the target platform or language
  • Prefer explicit over implicit — clarity beats cleverness
  • Include comments for non-obvious logic
  • Suggest tests or validation steps where appropriate

Dependencies

Required: d3, plotly, vega

Platforms

Available on: claude.ai, claude-code, api

Part of the claude-skills collection — 183+ skills for Claude.

Compartilhar X LinkedIn