mj-paper

What problem does it solve?

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.

Core Features & Use Cases

• Plain-language translation: Converts complex paper content, methods, and findings into simple, easy-to-understand language tailored for users without specialized domain knowledge.
• Structured insight extraction: Pulls out the core research problem, method mechanism, key findings (including counterintuitive side discoveries), and actionable takeaways from any academic paper.
• Automated Lark Doc publishing: Writes the full structured analysis directly to a designated Lark Doc under your team's Meetings & Training / 论文 folder for easy access and sharing.
• Use Case: If you find a relevant machine learning paper for your product work but don't have a research background, use this skill to get a clear summary of what the paper does, how it works, and what you can apply to your work, saved directly to your team's wiki.

Quick Start

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.