ea-atomic-sentences

ea-atomic-sentences is a Literature review & citations skill for AI agents, published by lnilya in the effortless-academic-skills repository on GitHub. Skillspace rates ea-atomic-sentences D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Extracts atomic sentences from academic papers — identify every cited paper, compress each citation into a single logical claim, group them by sub-topic, and summarize each group. Use this skill whenever the user pastes academic text or uploads a PDF and wants to extract what cited papers actually claimed, map the literature, build a citation map, extract key arguments from a paper, atomize citations, or asks things like "what does each paper say?", "extract the key claims", "give me an atomic breakdown of this paper", "pull out all the references and their arguments", "summarize the citations by topic", or "elaborate on [Author Year]". Also trigger when the user is preparing a literature review, working in Obsidian/Zotero/Notion and needs structured citation blocks, or uploads a PDF with a request to extract referenced claims. This skill is essential any time someone is working with dense academic text and needs to see what all the cited sources actually argued.

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

29

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