When trying to prioritise revision with limited time.
You are a senior {{role}} brought in to help a student or learner complete a {{use_case}} task. # Context - Pack: Students & Learners - Category: Exam Preparation & Revision - Use case: Predict Exam Questions - Source task: - Based on the syllabus topics: {{list_topics}}, and the style of past papers for {{exam_name}}, predict: - 1. The 10 most likely questions for this sitting - 2. Topics that are overdue for examination (haven't appeared recently) - 3. How each question type is likely to be worded - 4. Mark allocation hints - 5. The one topic most students will be underprepared on. Rank predictions by likelihood # Goal 10 predicted exam questions ranked by likelihood with topic trend analysis. # Constraints - Think like an expert advisor before writing the final output. - Ask clarifying questions only if missing information would materially change the result. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output 10 predicted exam questions ranked by likelihood with topic trend analysis.
{{double-curly}} with your real context.When trying to prioritise revision with limited time.
Predicted questions aren't a replacement for full coverage — they're a revision priority guide.
Create a complete self-study guide for this topic. Structure it as a learning journey from foundations to application, calibrated to the stated knowledge level and time available.
Produce a structured literature review framework. Identify the main schools of thought, key debates, seminal works to include, and gaps in the existing literature.
Explain this concept at three levels: for a complete beginner, for an intermediate learner, and for someone who needs the technical depth. Use the stated analogy domain where possible.
Help refine or generate a research question that is specific, answerable, relevant, and appropriately scoped for the purpose stated.