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Lurna

Lurna v2.0.0

Study flashcards and notes

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From the developer

Not specified in the available declarations: capabilities, limitations, pricing & account requirements.

Onboarding example

Generate flashcards about Crispr Cas-9 for my upcoming Biology midterm
Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 9, 2026. Package observed Nov 9, 2026.

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Description

From the marketplace listing

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 — making serious review a native part of your AI-study workflow. You can use Lurna app to: 1. Exam prep — flashcards from a lecture topic Use case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition. Example prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.” 2. Deep-dive study notes from a conversation Use case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries Example prompt: “Write 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.” 3. Learn from uploaded materials — notes + flashcards Use case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand. Example prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.” 4. Quick review before an interview or certification Use case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary. Example prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”

Language: English · Automatically detected from descriptions.

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Publisher 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 — making serious review a native part of your AI-study workflow. You can use Lurna app to: 1. Exam prep — flashcards from a lecture topic Use case: Turn a subject you’re studying into an interactive flashcard deck you can review in chat, then export to Lurna for spaced repetition. Example prompt: “Create flashcards for my biology midterm on photosynthesis — cover the light reactions, Calvin cycle, and how ATP and NADPH are used. About 15 cards, exam-level.” 2. Deep-dive study notes from a conversation Use case: After discussing a complex topic with AI, turn the explanation into structured, readable study notes with headings, tables, and summaries Example prompt: “Write 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.” 3. Learn from uploaded materials — notes + flashcards Use case: Upload readings, slides, or your own notes and convert them into study materials without reformatting by hand. Example prompt: “Here are my uploaded lecture notes on CRISPR Cas9. First generate study notes, then create a flashcard set covering the most testable concepts.” 4. Quick review before an interview or certification Use case: Rapidly build recall-focused flashcards for technical interviews, certifications, or vocabulary. Example prompt: “Generate flashcards to help me prep for a AWS Solutions Architect interview — focus on S3, IAM, VPC, and common architecture tradeoffs.”

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Files & skills

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Plugin package2 files · 1.42 KBBrowse files →
Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Lurna

Package observed Nov 9, 2026.

Technical details
First seen
Sep 30, 2026 · 22:02 UTC
Last seen
Nov 9, 2026 · 18:00 UTC
Collection status
Collected

plugin_asdk_app_6a282d986ad08191be4c6e6b8ccf81b9

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