sjqsgg

sjqsgg / Paperwise

Public

Turn any paper into a browser-readable annotated webpage, zero API keys required.

15
2
100% credibility
Found Mar 13, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Paperwise is a skill for Claude Code that transforms academic papers into self-contained, annotated HTML webpages featuring dual-column layouts, color-coded highlights, and logical breakdowns.

How It Works

1
📚 Discover Paperwise

You find Paperwise, a helpful tool that turns tricky academic papers into easy-to-read webpages with colorful highlights and smart notes.

2
📁 Add to Your Project

You simply copy a special instruction file into your AI assistant's project folder, and it's ready to use.

3
⚙️ Set Your Preferences

You choose where to save your files, pick your favorite language for notes, and set simple filters like minimum popularity.

4
🔍 Search for Papers

You tell your assistant to find papers on a topic like 'AI learning', and it grabs the best ones automatically.

5
📖 Explore Annotated Pages

Beautiful dual-column webpages appear with the original text on one side and helpful breakdowns on the other, showing the paper's logic in colors.

6
📅 Get Daily Updates

Set it to send you a digest of the newest papers matching your interests every day.

🎉 Research Made Easy

Now you quickly understand papers, cite them perfectly, and stay on top of new research without the hassle.

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Star Growth

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AI-Generated Review

What is Paperwise?

Paperwise is a Claude Code skill that turns any paper into a browser-readable annotated webpage—no API keys needed. Drop commands like `/paper find "cognitive load LLM"` to search OpenAlex for top papers, generating dual-column HTML with color-coded logic highlights, per-paragraph annotation cards, and an argument structure overview. It also handles local PDFs via `/paper read`, daily arXiv digests with `/paper digest`, and quick APA/BibTeX citations—saving everything as self-contained files organized by venue or preprint.

Why is it gaining traction?

Unlike raw PDF readers or paid tools like paperlike iPad apps, Paperwise delivers instant, interactive annotations with 5-color logic tags (thesis, evidence, etc.) and question-driven modes for lit reviews—zero setup beyond copying a skill file. The hook? Free OpenAlex/arXiv access, smart ranking blending citations and recency, and perks like polite pool emails for higher limits, echoing hacks that turn any bike into an e-bike or any image into pixel art. Config tweaks for keywords, venues, or languages (English/Chinese) make it stick for repeat use.

Who should use this?

AI/ML researchers scanning NeurIPS or arXiv dailies, NLP course students annotating weekly PDFs with custom questions, or indie devs building paperwise support into workflows—think lit review marathons without the shredding. Perfect for those turning GitHub accounts into organizations while juggling paperwise eu envelopes of glenwood springs karton.

Verdict

Early days at 10 stars and 1.0% credibility score—docs are solid but lacks tests or broad adoption, so test on non-critical work. Worth adding if you're deep in Claude Code and tired of unannotated PDFs; skip for production lit tools.

(198 words)

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