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chart-designer

Generate bar, line, pie, scatter, and heatmap charts with matplotlib and D3.js.

22|8|Updated Mar 14, 2026
Search Tags:#design#data#visualization#creative#chart#d3
One-click install
npx skills add https://github.com/inbharatai/claude-skills --skill chart-designer-inbharatai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chart-designer
Source: https://github.com/inbharatai/claude-skills/tree/main/skills/chart-designer
Command: npx skills add https://github.com/inbharatai/claude-skills --skill chart-designer-inbharatai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, d3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of professional, publication-quality charts, transforming raw data into clear visual narratives.

Core Features & Use Cases

  • Diverse Chart Types: Generates bar, line, pie, scatter, and heatmap charts.
  • Interactive Visualizations: Supports the creation of interactive D3.js charts.
  • Use Case: You need to visualize quarterly sales data. Use this Skill to generate a line chart showing trends and a bar chart comparing regional performance.

Quick Start

Use the chart-designer skill to create a bar chart from the provided sales data.

Frequently Asked Questions about chart-designer

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

FAQPage Schema
How do I generate publication-quality charts from raw data?▼

To generate publication-quality charts, you can use this Skill to transform raw data into bar, line, pie, scatter, or heatmap charts. It automates the visual narrative creation process for reports and presentations.

Can I create interactive D3 visualizations for my reports?▼

Yes, you can create interactive D3 visualizations for reports. The Skill supports D3.js rendering, allowing you to build dynamic charts alongside standard static outputs like line and bar charts.

Do I need Python libraries to render matplotlib and D3 charts?▼

Yes, you need Python libraries like matplotlib and D3.js for rendering. These dependencies are required to execute the chart generation scripts and produce the final visual outputs.

What is the best way to visualize quarterly sales data?▼

The best way to visualize quarterly sales data is by generating a line chart for trends and a bar chart for regional comparisons. This Skill automates that chart generation directly from your sales datasets.

Does this chart generation approach support heatmaps and scatter plots?▼

Yes, this chart generation approach supports heatmaps and scatter plots. It handles diverse chart types including bar, line, pie, scatter, and heatmaps to accommodate various data visualization needs.

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