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dkyazzentwatwa
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word-cloud-generator

Generate styled word clouds from text, files, or frequency dictionaries with PNG and SVG export.

86|18|Updated Dec 14, 2025
Search Tags:#data analysis#nlp#word cloud#text visualization#graphic generation#customizable output
One-click install
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill word-cloud-generator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: word-cloud-generator
Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/word-cloud-generator
Command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill word-cloud-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires wordcloud, matplotlib, Pillow, numpy, and includes scripts (resource) components.

What problem does it solve?

This Skill transforms raw text or word frequencies into visually engaging word cloud graphics, making it easy to grasp the most prominent themes and keywords in any text.

Core Features & Use Cases

  • Versatile Input: Accepts raw text, text files, or pre-calculated word frequency dictionaries.
  • Customizable Output: Supports various shapes (rectangle, circle, custom masks), color schemes, fonts, and export formats (PNG, SVG).
  • Use Case: Analyze customer feedback from a survey to quickly identify the most frequently mentioned topics or terms.

Quick Start

Generate a word cloud from the text "This is a sample text for generating a word cloud." and save it as cloud.png.

Frequently Asked Questions about word-cloud-generator

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

FAQPage Schema
How do I generate a word cloud from raw text or a text file?▼

To generate a word cloud, input raw text, upload a text file, or provide a word frequency dictionary to produce a styled graphic using the wordcloud and matplotlib libraries.

Can I use a custom shape or mask for my word cloud image?▼

Yes, you can apply custom shapes or masks to your word cloud image. The generator uses Pillow and numpy to map text visualization accurately within your defined graphic boundaries.

What export formats are supported for saving word cloud graphics?▼

Word cloud graphics support PNG and SVG export formats. This allows you to save your text visualization output for data analysis presentations or thematic reports.

How does stopword filtering work when visualizing text data?▼

Stopword filtering removes common, non-thematic words from your input text or text file before graphic generation. This ensures your word cloud displays only the most prominent keywords.

Does this word cloud generator accept pre-calculated word frequency dictionaries?▼

Yes, the generator accepts pre-calculated word frequency dictionaries directly. This allows you to bypass raw text processing and immediately create customized text visualization graphics.

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