teaching-prep
Prepares complete teaching package for a class session including all materials, checklists, and resources. Use when the user is preparing to teach a specific class and needs all materials organized and ready. C...
Browse published AI skills maintained by SquizAI. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
14Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Prepares complete teaching package for a class session including all materials, checklists, and resources. Use when the user is preparing to teach a specific class and needs all materials organized and ready. C...
Creates comprehensive, detailed lesson plans for AI/prompt engineering classes. Use when the user asks to create a new lesson, develop class content, or needs a detailed teaching plan for a session. Generates m...
Creates professional presentation slides in GitHub markdown format for educational content. Use when the user asks to create slides, build a presentation, or needs visual teaching materials. Generates clean, en...
Formats and styles content for professional GitHub presentation. Use when the user asks to style files for GitHub, format documentation, improve markdown presentation, or prepare repository for publishing. Appl...
Creates hands-on student exercises and practice activities for learning prompt engineering. Use when the user asks to create student activities, practice exercises, or hands-on learning tasks. Generates exercis...
Creates comprehensive assessment tools, rubrics, and evaluation materials for student work. Use when the user asks to create rubrics, build assessments, evaluate student learning, or needs grading criteria. Gen...
Comprehensively reviews curriculum materials for quality, consistency, and effectiveness. Use when the user asks to review content, check quality, audit materials, or ensure curriculum meets standards. Provides...
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.