ljg-paper-river

Trace research paper lineages by identifying predecessor critiques and successor improvements.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/Dante-dan/dan-skills --skill ljg-paper-river-dante-dan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ljg-paper-river
Source: https://github.com/Dante-dan/dan-skills/tree/main/vendor-backup/ljg-paper-river
Command: npx skills add https://github.com/Dante-dan/dan-skills --skill ljg-paper-river-dante-dan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps researchers understand a paper's intellectual lineage by uncovering the problems, critiques, and innovations that shaped its development instead of treating papers as isolated works.

Core Features & Use Cases

  • Citation Evolution Mapping: Recursively traces influential predecessor papers and identifies how each work addresses limitations from earlier research.
  • Feynman-Style Research Narratives: Explains problem evolution, solution differences, and technical breakthroughs in accessible language.
  • Use Case: Analyze a machine learning paper to discover the foundational ideas behind it, the papers that improved it, and the latest advances that followed.

Quick Start

Ask the ljg-paper-river skill to trace the research evolution of a paper and explain its problem lineage.

Frequently Asked Questions about ljg-paper-river

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace the intellectual evolution of an academic paper?

To trace the intellectual evolution of academic papers, you map the citation chains to identify predecessor critiques and successor improvements. This process reveals the foundational ideas and problem lineage that shaped the research development across multiple studies.

What is a paper lineage analysis and how does it work?

Paper lineage analysis is a method of recursively tracing influential predecessor papers to uncover how each work addresses limitations from earlier research. It works by discovering structured research relationships and generating evidence-based narratives explaining problem evolution.

How do I map citation chains to understand research problem development?

Mapping citation chains involves tracking the historical progression of academic papers to see how solutions and technical breakthroughs evolved. It connects predecessor critiques with successor improvements to visualize the complete research evolution across multiple studies.

Can I get a Feynman-style explanation of how a research paper solved a problem?

Yes, you can generate a Feynman-style explanation of research papers to understand problem evolution in accessible language. This approach explains solution differences and technical breakthroughs by contrasting current findings with earlier foundational limitations.

What is the best way to visualize the history of a research paper?

The best way to visualize research paper history is by generating an ASCII visualization that maps the structured lineage discovery. This creates a clear graphical representation of citation chains and the comparative relationships between predecessor and successor studies.

Does this research evolution analysis work for any academic discipline?

Yes, this research evolution analysis applies to academic research scenarios across any discipline involving citation chains and paper histories. As long as the studies have identifiable research relationships, you can trace the problem development across multiple works.