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Education & ResearchLurna
Lurna v2.0.0
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What changed
Observed changes, with before-and-after evidence
LurnaOct 5, 2026 · 3 saved observations
Files · Oct 5, 2026 · 18:04 UTC · Compared with Sep 30, 2026 · 22:48 UTC
WHAT CHANGED · RULE-BASED ANALYSISPackage or technical metadata updated
Package contents changed in 2 files: .codex-plugin/plugin.json, assets/logo.png. Open the file diff to inspect the edits.
Observed in package metadata. These changes alone do not establish a new customer-facing feature.
Short excerpts from up to four changed fields. Open the full comparison for all changes.
File entries below show saved metadata, such as size and fingerprint. Open a changed file in the full comparison to read its text edits.
Package file
BeforeSep 30, 2026 · 22:48 UTC
780e43b11d5bf06592e1cef646f78decc5cedf9aaea7bb696cb4b8ec4471f207
AfterOct 5, 2026 · 18:04 UTC
4da76570784ab0ea00d296a2d124ec7463f5bb72d21a98d35aabf4f7233df1d2
Package file
BeforeSep 30, 2026 · 22:48 UTC
4539
AfterOct 5, 2026 · 18:04 UTC
4558
Package file
BeforeSep 30, 2026 · 22:48 UTC
{"sha256":"e298527679e788cba3d550eb9b60679d76f51989eb119da5ed6de2d67b942c6a","size":8680}
AfterOct 5, 2026 · 18:04 UTC
Not present
Compare changed files →
Metadata · Oct 5, 2026 · 18:04 UTC · Compared with Sep 30, 2026 · 22:48 UTC
WHAT CHANGED · RULE-BASED ANALYSISPackage or technical metadata updated
Published version changed from 1.0.0 to 2.0.0. Supporting listing metadata also changed.
Observed in package metadata. These changes alone do not establish a new customer-facing feature.
Short excerpts from up to four changed fields. Open the full comparison for all changes.
Id
BeforeSep 30, 2026 · 22:48 UTC
pluginrel_e3f2da87ce1c8191ac450085535af6ee
AfterOct 5, 2026 · 18:04 UTC
pluginrel_bb072f35de7c8191bda444a43a7af956
Logo url
BeforeSep 30, 2026 · 22:48 UTC
https://files.openai.com/content?id=file_00000000a9b881f69ec8c772e6c5f066
AfterOct 5, 2026 · 18:04 UTC
https://files.openai.com/content?id=file_00000000108c81f696095c3fbea4e0ae
Screenshot urls
BeforeSep 30, 2026 · 22:48 UTC
["https://chatgpt.com/backend-api/estuary/content?id=file_0000000060187208b38a9138ddeaf64e","https://chatgpt.com/backend-api/estuary/content?id=file_00000000fe387208984d5738de31459a"]
AfterOct 5, 2026 · 18:04 UTC
[]
Version
BeforeSep 30, 2026 · 22:48 UTC
1.0.0
AfterOct 5, 2026 · 18:04 UTC
2.0.0
Metadata: full comparison →Listing: full comparison →
Publisher 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.
Matches for “work”
Exact text from the indicated source. A mention alone does not establish support for your task.
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.”
Files & skills
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 Oct 10, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 10, 2026 · 18:00 UTC
- Collection status
- Collected
plugin_asdk_app_6a282d986ad08191be4c6e6b8ccf81b9
Download plugin data (JSON)
Before you connect Lurna
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Open the publisher's marketplace listing to check current availability and follow its connection instructions. This directory does not install plugins. Check the requested access and any account requirements before connecting.
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How can I evaluate it?
Check the declared skills and available files, then try a small task whose result you can verify. Our archived descriptions and instructions establish publisher claims, not tested runtime quality. Review sources and coverage limits.