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AI Final Sprint Assistant

Education Updated 2026.08.29

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About this skill

Problem

Final-term review often gets stuck on three points: many slides, unclear priorities, and uncertain exam formats. This skill focuses on concrete course materials and turns PDF, PPTX, and DOCX files into review outputs: TOP 20 high-frequency points, key chapters, core concepts, likely formulas, practice questions, and a three-day study plan.

Workflow and limits

It is triggered by practical requests such as “review machine learning” or “summarize exam points from this deck.” The main steps are:

  • Material analysis: parses uploaded documents and produces a structured summary.
  • Predictive questions: covers definitions, multiple-choice, short-answer, and comprehensive questions.
  • Sprint planning: uses days left, daily available time, and current mastery to order tasks.
  • Mock exam generation: outputs a full paper with reference answers.

Boundary notes: inputs are typically stored in uploads/, results in outputs/; parsing depends on pymupdf, python-docx, and python-pptx. It is best for short-term revision from existing decks or notes, not for long-term curriculum planning or replacing full reading of the source textbook.

Use Cases

  • Use a deck or notes three days before an exam to extract high-frequency points, key chapters, and likely formulas into a concise study list.
  • Review a course such as machine learning by generating definition, multiple-choice, short-answer, and comprehensive practice questions from the material.
  • With three days left and only two study hours per day, generate a daily task order and sprint strategy based on current mastery.
  • Create a complete mock exam with reference answers for self-testing, then check weak areas by question type.

Best For

  • Undergraduate students who need to compress thick courseware into exam-point lists and memorization priorities before finals
  • Instructors who want to generate practice questions from course decks and check student mastery by question type
  • Self-learners preparing for certification exams or graduate admissions retakes, needing a three-day sprint plan and question-type practice
  • Graduate teaching assistants who need to organize lecture notes, extract formulas and core concepts, and prepare mock exams