{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "libnyx-lt2md--build-question-bank-from-exam-pdf",
 "repo": "libnyx/LT2MD",
 "repo_url": "https://github.com/libnyx/LT2MD",
 "repo_slug": "libnyx-lt2md",
 "title": "Regroup an exam question bank PDF by topic or type",
 "page_title": "How to regroup an exam question bank PDF by topic or type with LT2 MD",
 "summary": "Convert a PDF question bank accurately, then have the agent sort or vary the questions.",
 "who": "A student preparing for exams who has a question bank as a PDF with formulas and figures.",
 "problem": "Direct OCR misreads formulas and figures, and rearranging questions before fixing them mixes errors into the new set.",
 "outcome": "A checked Markdown question bank in which questions are grouped by type or topic, with page numbers that still match the source, and optional new variants built from the verified text.",
 "steps": [
  "Clone the skill into your agent's skills directory, for example `git clone https://github.com/libnyx/LT2MD.git ~/.codex/skills/LT2MD` on macOS or Linux with Codex.",
  "Ask the agent to convert the question bank PDF to Markdown first, keeping formulas and page labels.",
  "Review the validator result and any transcription notes for questions with formulas or figures.",
  "Ask the agent to regroup the verified questions by type or topic, or to generate variants from them."
 ],
 "agent_prompt": "Use the LT2MD skill in the libnyx/LT2MD repo to convert <path to question bank PDF> to Markdown, keeping formulas and labeling each question with its PDF page. After validation, group the questions by <topic or type>. Expected output: a grouped Markdown file where each question keeps its page number; verify five questions with formulas against the source pages.",
 "agents": [
  "claude-code",
  "codex"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "Rearranging questions only after the conversion is checked keeps errors out of the new set, but any formula in a generated variant should still be checked by a person.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python installed on Windows, Linux, or macOS",
  "git installed to clone the repository",
  "A supported AI agent that can load the skill (the README names Claude Code and Codex)",
  "The PDF file to convert, with the page range you want",
  "A host model that can understand images, since transcription quality depends on it"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/libnyx-lt2md/build-question-bank-from-exam-pdf/",
 "md": "https://dedupedai.com/use-cases/libnyx-lt2md/build-question-bank-from-exam-pdf/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/libnyx-lt2md--build-question-bank-from-exam-pdf.json",
 "api_version": "v1"
}