charts

Create publication-ready charts and diagrams from data using deterministic templates.

Updated Apr 28, 2026
One-click install
npx skills add https://github.com/ncsound919/deterministic-brain --skill charts-ncsound919
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: charts
Source: https://github.com/ncsound919/deterministic-brain/tree/main/skills/charts
Command: npx skills add https://github.com/ncsound919/deterministic-brain --skill charts-ncsound919

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, seaborn, numpy, adjustText, and includes references (resource) components.

What problem does it solve?

This Charts skill provides a unified, deterministic approach to creating publication-ready charts and diagrams from data. It ensures consistency in style, layout, and quality across data visualizations, dashboards, and structural diagrams, reducing manual tweaking and design drift.

Core Features & Use Cases

  • Data charts: bar, line, pie, scatter, heatmaps, radar, candlestick, boxplots, histograms, area, waterfall, regression, and distribution plots with publication-grade output.
  • Structural diagrams: flowcharts, mind maps, tree diagrams, org charts, architecture diagrams, network graphs, ER diagrams, class diagrams, Gantt charts, swimlanes, and sequence diagrams.
  • Dashboards & KPI panels: multi-chart compositions and interactive dashboards with clean, consistent visuals.
  • Design quality: professional color systems, anti-overlap rules, layout optimization, and framework routing templates (matplotlib/seaborn/ECharts/D3.js/Mermaid/Playwright+CSS).
  • It includes templates and style guides to render across Python, Playwright/HTML, and modern charting libraries for consistent results.

Quick Start

Use the skill to generate a bar chart for quarterly sales in a single, polished step.

Frequently Asked Questions about charts

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

FAQPage Schema
How do I generate publication-ready charts and diagrams from data deterministically?▼

Generate publication-ready charts and diagrams using deterministic templates that enforce consistent color systems, anti-overlap layouts, and layout optimization. This approach renders outputs via matplotlib, seaborn, ECharts, D3.js, Mermaid, and Playwright+CSS.

Can I create flowcharts and mind maps using Mermaid alongside data charts in the same visualization workflow?▼

Yes, structural diagrams like flowcharts, mind maps, tree diagrams, and org charts are supported using Mermaid, Playwright+CSS, or ECharts. Data charts like bar, line, and scatter plots use matplotlib and seaborn within the same workflow.

What's the best way to build a multi-chart dashboard with consistent design quality at scale?▼

Build a multi-chart dashboard using template-driven rendering to ensure consistent style, layout, and design quality across all visualizations. This eliminates manual tweaking and design drift across multi-chart compositions and KPI panels.

Does this template-driven charting approach support anti-overlap layouts for complex visualizations?▼

Yes, template-driven charting includes professional color systems, anti-overlap rules, and layout optimization for complex visualizations. These design quality features ensure clean, consistent visuals across charts and diagrams.

Do I need matplotlib and seaborn to render data charts, or are there other framework routing options?▼

Matplotlib and seaborn are used for data charts, but framework routing templates also support ECharts, D3.js, Mermaid, and Playwright+CSS. These templates render structural diagrams and interactive dashboards across Python and HTML.

Why does my data visualization suffer from design drift and inconsistent styling across different charts?▼

Design drift and inconsistent styling occur when creating data visualizations without deterministic templates. Using a unified template approach with predefined style guides and color systems ensures consistency in style, layout, and quality across all charts.