lijigang

lijigang / ljg-skill-paper

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论文深读器 — 用原子管线解构学术论文，输出连贯的认知旅程

44
2
100% credibility
Found Mar 03, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A plugin skill for AI assistants that deeply analyzes academic papers through structured steps like breakdown, simplification, visuals, and critique, outputting organized notes.

How It Works

1
📰 Discover the paper reader helper

You find a handy tool that turns confusing research papers into clear, story-like notes.

2
➕ Add it to your AI assistant

With a couple of simple taps, you bring this helper into your everyday AI chat buddy.

3
📖 Share a paper with it

You simply paste a paper link, file, or name, and it starts unpacking the ideas for you.

4
🔍 It breaks down the big ideas

The helper spots the gaps, methods, and new discoveries, explaining them step by step.

5
💡 Get simple explanations and drawings

You receive easy analogies, key concept breakdowns, quick sketches, and an expert review.

📁 Your insightful notes are ready

Everything saves neatly into your notes folder, feeling like a personal deep-dive chat.

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Star Growth

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AI-Generated Review

What is ljg-skill-paper?

ljg-skill-paper is a Claude Code Skill that deep-reads academic papers for you, feeding in an arXiv URL, PDF path, local markdown/org file, or even a paper title like "Attention Is All You Need." It runs an atomic pipeline—splitting structure, squeezing key increments, plain-language breakdowns, Feynman-style concept explanations, napkin-sketch visuals, and a PhD advisor-style review—outputting a cohesive Org-mode note in Denote format to ~/Documents/notes/. Developers and researchers get a "cognitive journey" that pinpoints gaps, mechanisms, and real value, turning dense PDFs into digestible stories.

Why is it gaining traction?

It stands out by focusing on "what's the increment?" over raw summaries, with ASCII mechanism diagrams, load-bearing metaphors, and one-shot "before vs. after" insights that stick. Multi-source inputs via simple slash commands like /ljg-paper make it dead-easy in Claude, and the Org-mode export integrates seamlessly with note-taking workflows. The hook is that advisor critique: it judges topic freshness, method rigor, and writing like a 20-year vet, saving hours of solo skepticism.

Who should use this?

PhD students drowning in arXiv queues who need structured breakdowns before seminars. ML engineers evaluating papers for implementation. Academics prepping grant reviews or lit surveys, especially if you're already in Denote/Org-mode ecosystems.

Verdict

At 44 stars and 1.0% credibility, ljg-skill-paper is raw and single-file early-stage, with docs limited to a solid README—no tests or broad adoption yet. Worth a quick plugin install if paper digestion is your bottleneck; skip if you need battle-tested polish.

(178 words)

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