Trace academic paper lineage across 5 layers and publish reports to Lark Docs.
npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-paper-river
Please help me install this Agent Skill. Skill: mj-paper-river Source: https://github.com/RockerMJ031/mj-claude-skills/tree/main/mj-paper-river Command: npx skills add https://github.com/RockerMJ031/mj-claude-skills --skill mj-paper-river
Reading a single academic paper in isolation makes it impossible to understand its true contribution, the context of the problem it solves, or how the research field evolved to reach that point, leaving readers with fragmented, surface-level knowledge of the topic.
Use the mj-paper-river skill to trace the intellectual lineage of the attached paper on diffusion models and explain how image generation research evolved across related work.
High-intent search queries and answers about installing and using this skill.
To trace paper lineage, you need to recursively identify prior work it critiques and subsequent work that builds on it. This Skill maps the full intellectual history and problem evolution up to 5 layers deep.
Understanding paper context is simplified by generating Feynman-style plain-language narratives. These explain complex research evolution and underlying problem shifts in accessible language without requiring manual reading of prior papers.
Visualizing citation history is possible by auto-generating ASCII lineage maps and compressed overview diagrams. These visual outputs help users grasp the full research evolution and differences between consecutive papers at a glance.
Direct publishing to Lark Docs is supported as a core output feature. The Skill automatically publishes the formatted final report, including the lineage maps and narratives, to a designated Lark Docs folder for archival.
The maximum recursion depth for tracing prior work is 5 layers. This limit applies specifically to recursively identifying and analyzing the prior papers that the target academic paper critiques or improves upon.
SignmanalQuery the arXiv REST API for papers by keyword, author, category, or ID.
yipng05-maxInsert Feishu document edits and reviewer comments into docx papers.
brittaniebuffiecsuSearch, retrieve, and parse academic papers from the arXiv repository.
ovachieverPlan and conduct multi-database literature reviews with screening and extraction.
