Extract plain-language insights from academic papers and publish to Lark Docs.
npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-paper
Please help me install this Agent Skill. Skill: mj-paper Source: https://github.com/RockerMJ031/mj-claude-skills/tree/main/mj-paper Command: npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-paper
Academic papers are filled with dense jargon and complex frameworks that are inaccessible to non-researchers, making it hard to extract practical, usable insights for personal learning, work projects, or knowledge management without spending hours parsing dense text.
Share an arxiv link, PDF, research paper URL, or the name of a paper with the prompt "读论文" to get a plain-language analysis of the paper automatically saved to your Lark Doc.
High-intent search queries and answers about installing and using this skill.
To extract actionable insights from academic papers for non-experts, share an arxiv link, PDF, or research URL to generate a plain-language structured analysis covering core problems, methods, findings, and takeaways.
Yes, you can generate a research summary from an arxiv link directly into Lark Doc. This skill automatically publishes the structured plain-language analysis to your team's designated Meetings & Training / 论文 folder.
The best way to analyze academic papers without specialized domain knowledge is using plain-language translation, which converts complex jargon and frameworks into simple structured insights and actionable takeaways for personal learning.
Yes, this paper analysis tool processes PDFs and research paper URLs. It accepts arxiv links, PDF files, and research URLs to generate structured insight extraction covering method mechanisms and key findings.
The paper analysis includes the core research problem, method mechanism, key findings including counterintuitive side discoveries, and actionable takeaways, all converted into plain-language for non-academic readers.
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