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.codex-plugin/plugin.json
4.43 KB · Sep 30, 2026 · 22:48 UTC
{
"apps": "./.app.json",
"author": {
"name": "Lurna"
},
"description": "Turn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition \u2014 making serious review a native part of your AI-study workflow.\n\nYou can use Lurna app to:\n\n1. Exam prep \u2014 flashcards from a lecture topic\nUse case: Turn a subject you\u2019re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition.\nExample prompt: \u201cCreate flashcards for my biology midterm on photosynthesis \u2014 cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.\u201d\n\n2. Deep-dive study notes from a conversation\nUse case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries\nExample prompt: \u201cWrite study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.\u201d\n\n3. Learn from uploaded materials \u2014 notes + flashcards\nUse case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand.\nExample prompt: \u201cHere are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.\u201d\n\n4. Quick review before an interview or certification\nUse case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary.\nExample prompt: \u201cGenerate flashcards to help me prep for a AWS Solutions Architect interview \u2014 focus on S3, IAM, VPC, and common architecture tradeoffs.\u201d",
"interface": {
"capabilities": [],
"category": "Education & Research",
"defaultPrompt": [
"Generate flashcards about Crispr Cas-9 for my upcoming Biology midterm",
"Write comprehensive notes on Linked Lists. Cover key concepts & definitions"
],
"developerName": "Lurna",
"displayName": "Lurna",
"logo": "./assets/logo.png",
"longDescription": "Turn any topic into study-ready materials directly from ChatGPT. Lurna helps you generate interactive flashcard decks you can flip through in chat, plus structured Markdown study notes in a clean reader view. Review key concepts faster, then export decks and notes to app.lurna.co to keep learning with spaced repetition \u2014 making serious review a native part of your AI-study workflow.\n\nYou can use Lurna app to:\n\n1. Exam prep \u2014 flashcards from a lecture topic\nUse case: Turn a subject you\u2019re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition.\nExample prompt: \u201cCreate flashcards for my biology midterm on photosynthesis \u2014 cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.\u201d\n\n2. Deep-dive study notes from a conversation\nUse case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries\nExample prompt: \u201cWrite study notes on the causes and consequences of the 2008 financial crisis. Include key terms, a timeline, and a short summary I can review before class.\u201d\n\n3. Learn from uploaded materials \u2014 notes + flashcards\nUse case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand.\nExample prompt: \u201cHere are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.\u201d\n\n4. Quick review before an interview or certification\nUse case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary.\nExample prompt: \u201cGenerate flashcards to help me prep for a AWS Solutions Architect interview \u2014 focus on S3, IAM, VPC, and common architecture tradeoffs.\u201d",
"privacyPolicyURL": "https://lurna.co/privacy",
"shortDescription": "Study flashcards and notes",
"termsOfServiceURL": "https://lurna.co/terms",
"websiteURL": "https://lurna.co"
},
"name": "app-6a282d986ad08191be4c6e6b8ccf81b9",
"version": "1.0.0"
}SHA-256: 780e43b11d5bf06592e1cef646f78decc5cedf9aaea7bb696cb4b8ec4471f207