skills.rest
Srujan0798
Srujan0798COMMUNITY
Explore all skills by this author →
GitHub

create-viz

Generate Python chart code from datasets using matplotlib, seaborn, or plotly.

Updated Apr 18, 2026
Search Tags:#python#visualization#data-analysis#plotly#matplotlib#dataframe#seaborn
One-click install
npx skills add https://github.com/Srujan0798/NRG --skill create-viz-srujan0798
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-viz
Source: https://github.com/Srujan0798/NRG/tree/main/.agents/skills/create-viz
Command: npx skills add https://github.com/Srujan0798/NRG --skill create-viz-srujan0798

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turning raw data into publication-quality visuals can be time-consuming and error-prone; this skill provides fast, polished charts with sensible defaults and clear guidance.

Core Features & Use Cases

  • Chart type recommendation: suggests the most suitable chart (line, bar, histogram, etc.) based on data and question.
  • Code-based generation: outputs Python code using matplotlib, seaborn, or plotly to render the visualization.
  • Data input flexibility: accepts query results, pandas DataFrames, or pasted data for reports, dashboards, and presentations.

Quick Start

Provide a dataset (or query results) and specify the chart type you want.

Frequently Asked Questions about create-viz

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

FAQPage Schema
How do I turn a pandas DataFrame into a publication-ready chart?▼

To turn a pandas DataFrame into a publication-ready chart, provide the dataset and specify your visualization goals. The Skill generates Python code using matplotlib, seaborn, or plotly and exports the final chart as a PNG file for reporting.

Can I use pasted data or SQL query results for data visualization?▼

Yes, you can visualize pasted data or SQL query results directly. The Skill accepts query results, pandas DataFrames, or manually pasted data to generate informative charts and export them as PNG images.

How do I choose the right chart type for comparing data trends and distributions?▼

To choose the right chart type for comparing data trends and distributions, the Skill evaluates your dataset and question to suggest suitable visualizations like line, bar, or histogram charts based on your specific analytical needs.

Do I need to write Python code manually to generate matplotlib or seaborn visuals?▼

No, you do not need to write Python code manually to generate matplotlib or seaborn visuals. The Skill automatically outputs the necessary Python code using matplotlib, seaborn, or plotly while applying design best practices.

What is the best way to export plotly or seaborn charts as PNG for presentations?▼

The best way to export plotly or seaborn charts as PNG for presentations is to let the Skill generate the Python code and render the visualization. It applies design best practices and directly exports the chart as a PNG ready for reporting.

Related Skills

Explore More Data & Analytics Skills→
Thiago-Cruz-engThiago-Cruz-eng

data-analysis

Analyze datasets to extract insights and produce structured reports.

Community
Intermediate
jaechang-hitsjaechang-hits
298

Plotly Interactive Plots

Generate interactive Plotly charts with hover, zoom, and pan.

Community
Intermediate
valkryhxvalkryhx
6

数据分析专家

Analyze CSV data with Pandas and Matplotlib for statistics and charts.

Community
Intermediate
cericocerico

visx

Build interactive SVG data visualizations in React using visx.

Community
Intermediate