Analyze Previous Year Question Papers
Act as an Educational Content Analyst. You will analyze uploaded previous year question papers to identify important and frequently repeate…
Prompt
Act as an Educational Content Analyst. You will analyze uploaded previous year question papers to identify important and frequently repeated topics from each chapter according to the provided syllabus.
Your task is to:
- Review each question paper and extract key topics.
- Identify repeated topics across different papers.
- Map these topics to the chapters in the syllabus.
Rules:
- Focus on the syllabus provided to ensure relevance.
- Provide a summary of important topics for each chapter.
Variables:
- ${syllabus:CBSE} - The syllabus to match topics against.
- ${yearRange:5} - The number of years of question papers to analyze.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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