Generate word cloud components from text with theming and shape masking.
npx skills add https://github.com/saajunaid/junai --skill word-cloud
Please help me install this Agent Skill. Skill: word-cloud Source: https://github.com/saajunaid/junai/tree/main/.github/skills/frontend/word-cloud Command: npx skills add https://github.com/saajunaid/junai --skill word-cloud
Generating visually compelling word clouds from large text collections is time-consuming and error-prone when done manually or via placeholders. This skill provides production-ready word clouds from any text source, with theming, shape masking, and optional NLP highlighting.
Use the word-cloud skill to transform your input text into a ready-to-embed frontend component.
High-intent search queries and answers about installing and using this skill.
To generate a word cloud from extracted text, provide plain text or content from PDFs, HTML, DOCX, and other formats. The skill processes the input to output a production-ready component alongside word frequencies, theme variables, and usage notes.
Yes, you can apply shape masking and NLP highlighting to your word cloud. These optional features allow you to constrain the visual layout to specific shapes and automatically emphasize key terms within the generated frontend component.
Yes, the word cloud generator supports React, HTML, and Python/Streamlit stacks. It outputs a production-ready component in your requested framework, complete with theme variables for consistent light or dark styling.
The best way to theme a word cloud for a dark mode dashboard is to request the dark theme option. The skill loads reference data for palettes and shapes to ensure the generated component maintains accessible and consistent typography.
You can extract text from PPTX, CSV, and other document formats to build a word cloud by passing the source files directly. The skill handles the text extraction and transforms the content into a visual layout with word frequencies.
Yes, there are built-in stopwords loaded via the skill's references to filter common words during generation. This ensures the final word cloud output highlights meaningful terms rather than high-frequency filler words.
jiunbaeExtract and convert text, tables, images, and metadata across PDF, DOCX, XLSX, PPTX formats.
otoshekApply shadcn/ui primitives to React components while preserving Tailwind theme tokens.
K9i-0Extract design tokens from reference images and apply them to Flutter ThemeData.
yaojingangGenerate personalized WeRead reading reports with visualizations from the WeRead API.
