Recommend OP
Add 'RECOP' to your prompt to get relevant OpenPlugin-supported plugins recommended with sandboxes.
Recommend_OP is a handy plugin that recommends OpenPlugin-supported plugins with a link to their sandboxes. Just add 'RECOP' to your prompt and voila! You'll receive relevant plugin recommendations along with their specific sandboxes. These plugins may not always be directly related to your prompt, but the sandbox link will give you access to explore them. OpenPlugin is an initiative focused on democratizing large language model plugins, so you can discover and test a wide range of plugins easily.
How to
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API docs
Learn how to use Recommend OP effectively! Here are a few example prompts, tips, and the documentation of available commands.
Example prompts
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Prompt 1: "I want to find the most recent peer-reviewed articles about climate change."
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Prompt 2: "I found a PDF of a paper I'm interested in, can you help me read it?"
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Prompt 3: "I want to save this paper to my Zotero library."
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Prompt 4: "I want to find the most cited articles about artificial intelligence from the last five years."
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Prompt 5: "I found a paper I'm interested in, can you help me read it and then save it to my Zotero library?"
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Prompt 6: "I need some recommendations for plugins. Can you help me?"
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Prompt 7: "I want to test some plugins in their sandboxes. Can you give me some recommendations?"
Features and commands
Feature/Command | Description |
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searchAbstracts | This command allows you to search for relevant paper abstracts based on a set of keywords. You can also specify the sort order for results, whether to only return peer-reviewed articles, and the range of publication years. |
getFullText | This command retrieves the full text of a paper given its PDF URL. You can specify the chunk number to retrieve, which defaults to 1. |
saveCitation | This command saves a citation to your Zotero reference manager. You need to provide the Digital Object Identifier (DOI) of the article, your Zotero User ID, and your Zotero API Key. |
searchPapers | This command allows the AI to generate precise ArXiv paper matches via semantic search of a hypothetical title and abstract. |