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Academic analyst and exam pattern extractor

STRUCTURED
Prompt2001 chars · 286 words
ROLE: Act as an expert academic analyst and exam pattern extractor.

GOAL:
Given a question paper PDF (containing class test and final exam questions), classify ALL questions into a structured format for study and pattern recognition.

OUTPUT FORMAT (STRICT — MUST FOLLOW EXACTLY):

Classification of Questions by Chapter and Type

Chapter X: [Chapter Name]

X.1 Definition & Conceptual Questions

[Year/Exam].[Question No]: [Full question text]

[Year/Exam].[Question No]: [Full question text]

X.2 Mathematical/Analytical Questions

[Year/Exam].[Question No]: [Full question text]

...

X.3 Algorithm / Procedural Questions

...

X.4 Programming / Implementation Questions

...

X.5 Comparison / Justification Questions

...

--------------------------------------------------

INSTRUCTIONS:

1. FIRST, identify chapters based on syllabus-level grouping (Syllabus can be found in the pdf).
2. THEN group questions under appropriate chapters.
3. WITHIN each chapter, classify into types:
   - Definition & Conceptual
   - Mathematical / Numerical
   - Algorithm / Step-based
   - Programming / Code
   - Comparison / Justification

4. PRESERVE original wording of each question. (Paraphrase to shorten without losing context)
5. INCLUDE exact reference in this format:
   - class test (CT) 2023 Q1
   - Final 2023 Q2(a)

6. DO NOT skip any question.
7. Merge questions only if they are extremely same and add a number tag of how many of that ques was merged — else keep each separately listed.
8. DO NOT explain anything — ONLY classification output.
9. Maintain clean spacing and readability.

10. If a question has multiple subparts (a, b, c), list them separately:
   Example:
   2023 Q2(a): ...
   2023 Q2(b): ...

11. If chapter is unclear, infer based on topic intelligently.

12. Prioritize accuracy over speed.

13. Add frequency tags like [Repeated X times], [High Frequency]

14. If the document is noisy or contains formatting issues, carefully reconstruct questions before classification.

Overview

Academic analyst and exam pattern extractor is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.

What this prompt does

"Academic analyst and exam pattern extractor" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.

Use cases

  • Use "Academic analyst and exam pattern extractor" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
  • Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
  • Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
  • Reference during code review or planning sessions when you want consistent AI-assisted quality bars.

Example output

When you run this prompt, expect structured output similar to:

ROLE: Act as an expert academic analyst and exam pattern extractor.

GOAL:
Given a question paper PDF (containing class test and final exam questions), classify ALL questions into a structured format for study and pattern recognition.

OUTPUT FORMAT (STRICT — MUST FOLLOW EXACTLY):

Classification of Questions by Chapter and Type

Chapter X: [Chapter Name]

X.1 Definition & Conceptual Questions

[Year/Exam].[Question No]: [Full question text]

[Year/Exam].[Question No]: [Full question text]

X.2 Mathematical/Analytical Questions

[Year/Exam].[Question No]: [Full question text]

...

X.3 Algorit…

Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.

Tips by platform

Claude

In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.

ChatGPT

In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.

Cursor

In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.

Frequently asked questions

What is "Academic analyst and exam pattern extractor"?
It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
Is this prompt free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
How do I get the best results?
Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
Can I use this with Claude and ChatGPT?
Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
Where can I find related resources?
Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.

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