How do I provide a paper to the Paper to Intuition skill?

You can provide the skill with an arXiv link, a path to a PDF file, or simply the full title of the research paper you wish to analyze.

What is included in the Explanation Ladder?

The ladder provides four distinct levels of detail: ELI5 (no jargon), Undergraduate (basic technical terms), Graduate (fundamental theory and equations), and Researcher (limitations and open questions).

Does this skill help with understanding mathematical equations?

Yes, it specifically breaks down LaTeX equations by translating them into plain English and explaining the purpose of every symbol and term.

What kind of visual aids does it generate?

It generates a self-contained HTML file featuring SVG architecture diagrams, interactive parameter sliders, and before/after comparisons of the research method.

Paper to Intuition

Name: Paper to Intuition
Author: GhostScientist

byGhostScientist

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学习与文档

Translates complex academic papers into multi-level explanations and interactive visual diagrams to build deep technical intuition.

关于

Paper to Intuition is a specialized Claude Code skill designed to bridge the gap between dense academic research and practical engineering application. It processes technical papers from sources like arXiv to generate an 'Explanation Ladder' that scales from ELI5 analogies to high-level researcher insights. Beyond simple summarization, the skill produces interactive HTML/SVG visualizations and conducts 'What Breaks?' stress tests to reveal the underlying trade-offs and dependencies of a paper's methodology, making it indispensable for developers and researchers mastering new domains.

主要功能

Support for arXiv links, local PDFs, and research paper titles
Structural analysis of failure modes and component trade-offs
Generation of interactive HTML/SVG visual intuition diagrams
1 GitHub stars
Multi-layered 'Explanation Ladder' spanning four distinct expertise levels
Plain-English breakdowns of complex LaTeX equations and mathematical terms

使用场景

Creating educational materials or technical presentations from research
Quickly onboarding to a new machine learning architecture or technical field
Translating academic theory into implementable engineering logic

关于

主要功能

Support for arXiv links, local PDFs, and research paper titles
Structural analysis of failure modes and component trade-offs
Generation of interactive HTML/SVG visual intuition diagrams
1 GitHub stars
Multi-layered 'Explanation Ladder' spanning four distinct expertise levels
Plain-English breakdowns of complex LaTeX equations and mathematical terms

使用场景

Creating educational materials or technical presentations from research
Quickly onboarding to a new machine learning architecture or technical field
Translating academic theory into implementable engineering logic