Search

PythonReactSEOPDF

fawzymohamed AI Skills

GitHub ↗

Browse published AI skills maintained by fawzymohamed. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

quiz-system

fawzymohamed

Knowledge for implementing the LMS quiz system with Nuxt UI. Activate when working with quiz components, question types, scoring, or quiz-related composables.

GitHub

vue-composables

fawzymohamed

Patterns for Vue 3 composables with localStorage persistence in Nuxt 4. Activate when creating composables, working with useProgress, useQuiz, useCertificate, or localStorage.

GitHub

nuxt-ui

fawzymohamed

Expert knowledge for Nuxt UI v4 components and patterns. Activate when creating UI components, working with buttons, cards, forms, or any Nuxt UI component.

GitHub

ui-ux-design

fawzymohamed

UI/UX design patterns and best practices for the LMS. Activate when designing pages, creating layouts, working on user experience, or building navigation.

GitHub

nuxt-content

fawzymohamed

Expert knowledge for @nuxt/content module in Nuxt 4. Activate when working with content directory, markdown files, frontmatter, or ContentRenderer.

GitHub

cheat-sheets

fawzymohamed

Expert knowledge for creating effective cheat sheets with PDF export. Activate when creating/editing cheat sheet content, designing quick reference sheets, or working with PDF export functionality. (project)

GitHub

svg-illustrations

fawzymohamed

Expert knowledge for creating hand-drawn style SVG illustrations. Activate when creating custom diagrams, working with illustration components, or needing consistent visual design for lessons.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.