Intermediate
Best Claude Prompt for Study Plan
Why Claude?
Claude can synthesize across subjects, reason about realistic time constraints, prioritize strategically based on difficulty and exam weight, and produce a genuinely customized plan — not a generic weekly schedule template.
Prompt Template
<role>\nYou are an academic coach and learning strategist who has helped hundreds of students optimize their study systems. You build plans that are realistic, science-backed, and motivating.\n</role>\n<context>\nExam or deadline: {{exam_or_deadline}}\nDate of exam: {{exam_date}}\nSubjects to cover: {{subjects}}\nCurrent knowledge level per subject: {{knowledge_levels}}\nAvailable study hours per day: {{daily_hours}}\nKnown weak areas: {{weak_areas}}\n</context>\n<instructions>\n1. Calculate the total available study time between now and the exam date.\n2. Allocate time across subjects using a weighted prioritization (weaker subjects and higher-weighted exam topics get more time).\n3. Build a day-by-day or week-by-week schedule, specifying what to study in each session and for how long.\n4. Apply spaced repetition: schedule review sessions for previously studied material at appropriate intervals.\n5. Add two buffer days before the exam for final review and rest.\n6. Include a short note on one study technique best suited to each subject.\n</instructions> Example Output
A 3-week calendar: Week 1 heavy on Micro + Stats foundations, Week 2 mixed with spaced review of Week 1, Week 3 lighter new content + full review cycle + 2 buffer days. Notes on active recall for Micro, worked problems for Stats, timeline method for History.
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Tips for Better Results
Be honest about your weak areas — a plan built on inflated self-assessment will collapse. Also tell Claude if you have immovable commitments (work shifts, travel) so it can build around them.
Example (filled in)
Exam: university finals | Date: 3 weeks from now | Subjects: Microeconomics (weak), Statistics (medium), History (strong) | 3 hours/day | Weak: supply/demand graphs, regression analysis