Does this require an internet connection or API keys?

No, this skill runs locally on your machine using standard Python libraries like matplotlib and numpy, ensuring your data remains private and secure.

Which output formats are supported?

Charts can be exported as high-resolution PNG images for presentations, vector-based SVG files for web use, or PDF documents for reports.

What chart types can I generate with this skill?

It supports standard charts (Bar, Line, Pie), business-specific charts (TAM/SAM/SOM, Positioning Matrix), and comparison tables, all with customizable styling and themes.

How does this differ from AI image generation like DALL-E?

This skill uses real data and Python code to create mathematically accurate, reproducible charts. Image generators create artistic interpretations which often hallucinate labels and numbers; this skill ensures your data is represented exactly as provided.

Data Visualization & Chart Generation

Name: Data Visualization & Chart Generation
Author: michaelboeding

bymichaelboeding

•

Data Science & ML

Generates accurate, data-driven charts and business visualizations using Python for professional reports and analysis.

The Chart Generation skill enables Claude to transform raw data into professional-grade visual assets using Python's matplotlib and plotly libraries. Designed for precision and reproducibility, it produces a wide range of charts—from standard bar and line graphs to specialized business visuals like TAM/SAM/SOM models and competitive positioning matrices. Unlike generative AI image tools that may hallucinate numbers, this skill ensures every data point is accurately represented in high-quality PNG, SVG, or PDF formats, making it an essential tool for market researchers, analysts, and developers building data-heavy reports.

Key Features

019 GitHub stars

02Market sizing visualizations with dedicated TAM/SAM/SOM concentric circle logic.

03Support for bar, line, pie, donut, and area charts with multi-series data capability.

04Local execution using Python (matplotlib/numpy) with no external API keys required.

05Customizable styling options for themes, color palettes, DPI, and vector SVG output.

06Specialized business templates including 2x2 positioning matrices and feature comparison grids.

Use Cases

01Mapping competitive landscapes using 2x2 matrices and feature comparison tables.

02Translating raw data analysis results into shareable, high-resolution visual assets.

03Visualizing revenue trends and user growth for investor pitch decks and performance reports.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add michaelboeding/skills chart-generation

For use in Claude.ai and ChatGPT

Download Skill