LIT Prompts
Create and run LLM prompt templates based on in-browser content and user input.
As of June 2026, LIT Prompts has 244 users in the Education category.
Usersup 6.1 percent+6.1%
244
244
Ratingno change0%
—
— reviews
Reviewsno change0%
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Version
0.2.1
Manifest V3
History
5 snapshotsTracking since Apr 1, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| Apr 1, 2026 | 230 | — | — | 0.2.1 |
| Apr 21, 2026 | 232 | — | — | 0.2.1 |
| May 6, 2026 | 240 | — | — | 0.2.1 |
| May 18, 2026 | 237 | — | — | 0.2.1 |
| Jun 1, 2026 | 227 | — | — | 0.2.1 |
| Now | 244 | — | — | 0.2.1 |
Permissions & access
- Permissions
- activeTabscriptingclipboardWrite
- Host access
- http://*/*, https://*/*
Screenshots
About
A project of Suffolk University Law School's Legal Innovation & Technology (LIT) Lab, this extension was designed to help students explore the use of Large Language Models (LLMs) and prompt engineering. Users can create and save prompt templates for use by the extension with any OpenAI-compatible API. Templates can use data from ones active browser window (e.g., selected text or the whole text of a webpage) as well as text input provided by the user. They can also feed into each other, allowing one to create complex interactions. For example: (1) summarize and ask questions of a webpage (e.g., What are the main conclusions of this article? What did so and so say about this or that?); or (2) translate selected text from one language into another. Then draft a reply in the original language.
Technical
- Version
- 0.2.1
- Manifest
- V3
- Size
- 3.06MiB
- Min Chrome
- 88
- Languages
- 1
- Featured
- No
Metadata
- ID
- hfeojjmldhebkeknfapoghcohkhffcmp
- Developer ID
- u588f7652fe067ffb2e85882e860d4f15
- Developer Email
- [email protected]
- Created
- Jan 18, 2024
- Last Updated (Store)
- Aug 18, 2025
- Last Scraped
- Jun 1, 2026
- Website
- —
- Privacy Policy
- https://github.com/SuffolkLITLab/prompts/tree/main
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