Fetch and generate university question papers with proper formatting.
npx skills add https://github.com/pinakdhabu/Exam-prompt --skill universal-qp-fetcher
Please help me install this Agent Skill. Skill: universal-qp-fetcher Source: https://github.com/pinakdhabu/Exam-prompt/tree/main/skills/qp-fetcher Command: npx skills add https://github.com/pinakdhabu/Exam-prompt --skill universal-qp-fetcher
This Skill solves the problem of finding and generating question papers for any university, worldwide, by fetching real question papers and generating university-style question papers with proper formatting.
To fetch real question papers for a specific subject and university, you can use the following command:
ai fetch-question-papers --subject "Database Management Systems" --university "Savitribai Phule Pune University"
High-intent search queries and answers about installing and using this skill.
To fetch previous year question papers, you can use this Skill to discover and structure real question papers from university portals via AI web scraping. It requires access to web resources to retrieve and format the actual documents.
Yes, you can generate a sample question paper using the synthetic generation feature. It creates university-style question papers complete with proper formatting, instructions, structure, and CO mapping.
The question paper fetcher supports worldwide universities by using AI web search to discover sources. It includes automated scripts specifically optimized for SPPU, but extends to other institutions through general web scraping.
Yes, you need Python libraries including requests, BeautifulSoup, pdfplumber, and markdown2 to handle web scraping, PDF processing, and markdown generation for the question papers.
The best way to automate question paper retrieval is by executing the provided fetch command with your subject and university parameters. The tool utilizes AI and web scraping to locate and download the relevant past papers.
Fetching real question papers is limited by access to university web resources and portal structures. If a university portal blocks web scraping or requires authenticated login, the automated retrieval process may fail to retrieve the documents.
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