flyer-Li

flyer-Li / paper-analyst

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A Claude Code skill for academic paper analysis. Supports 5 analysis modes (quick/standard/extended/presentation/presentation_with_figures), anti-hallucination source tagging, paper-type-aware method templates, and automated PPT generation via the `pptx` skill.

16
0
100% credibility
Found Apr 29, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A pair of simple scripts that extract images and metadata from PDF research papers, saving figures as PNGs with an index and outputting structured info like title and authors as JSON.

How It Works

1
🔍 Discover Paper Analyst

While looking for an easy way to pull pictures and info from research paper PDFs, you find this simple tool on GitHub.

2
📥 Grab the Tool

Download the two handy script files to a folder on your computer.

3
📄 Pick Your Paper

Choose the PDF of a research paper you want to explore.

4
🖼️ Save All Pictures

Run the picture extractor and watch it create a folder full of clear images from every page, plus a handy list of them.

5
📋 Grab Key Details

Run the info extractor to instantly get the paper's title, authors, page count, and whether the text can be read.

6
📁 Review Your Results

Open the new figures folder to see numbered pictures and check the details file for all the paper facts.

🎉 Paper Analyzed!

Celebrate having all the images and essential info neatly organized, ready for your notes or presentation.

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AI-Generated Review

What is paper-analyst?

Paper-analyst is a Python-based Claude code skill that automates academic paper analysis via a simple CLI. Feed it a PDF, pick from five modes—quick, standard, extended, presentation, or presentation with figures—and get structured summaries with anti-hallucination source tagging, paper-type templates, and even auto-generated PPTs using the pptx skill. It's a free claude code cli download for researchers tired of manual lit reviews, installable quickly for claude code install or claude code installieren.

Why is it gaining traction?

It stands out with claude code skills tailored for papers like data analytics or financial analyst papers, including claude github integration for workflows and claude github repo sharing. The hook is reliable outputs—no hallucinations via tagging—plus PPT export that saves hours versus generic claude code pro tools or copilot alternatives. Developers grab it for claude code free pricing and seamless claude github plugin setup.

Who should use this?

PhD students dissecting ML papers, data scientists reviewing analytics lit, or financial analysts summarizing econ journals. Ideal for anyone chaining claude code cli with claude github actions for batch paper processing, not casual readers.

Verdict

Skip for production—1.0% credibility score, 16 stars, and thin docs signal early-stage immaturity without tests. Prototype it for personal claude code skills experiments if PDF prep fits your flow, but watch for updates.

(178 words)

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