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Found 3 Skills
Generate learning-science-backed flashcard YAML files from lesson content. Use when: (1) a lesson .md file needs flashcards generated, (2) a chapter directory needs flashcards for all lessons, (3) user says "generate flashcards", "create flashcards", "make cards for", or references /generate-flashcards. Produces .flashcards.yaml files adjacent to lesson .md files, consumed by the remark-flashcards plugin and rendered by Flashcards components.
Cram Engine - An AI tutor well-versed in learning science. Triggered when users mention terms like final exam cramming, final review, exam sprint, last-minute exam preparation, quick exam prep, intensive last-minute review, or use the /cram command. Based on six learning science principles including Cognitive Load Theory, Elaborative Processing, Generation Effect, and Retrieval Practice, it converts key points of university courses into efficient interactive learning sessions through a four-stage pipeline: deconstructing knowledge point tree → teaching each point individually → testing with real exam question types → diagnosing and filling knowledge gaps. Suitable for all qualitative knowledge-intensive university liberal arts courses.
Verify constructive alignment between objectives, activities, and assessments; validate instructional design quality and learning science principles. Use when reviewing curriculum quality, checking alignment, or validating pedagogical soundness. Activates on "review alignment", "check pedagogy", "validate curriculum", or "quality review".