henry-y

henry-y / openclaw-paper-tools

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Automated paper discovery skill — daily HF Papers digest + one-click deep reading via SwiftScholar, powered by OpenClaw.

40
2
100% credibility
Found Mar 06, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of tools that fetch daily Hugging Face papers, curate them into generation and efficiency reports in Markdown or PDF, send summaries via messaging, and submit specific papers to an AI analysis service with logging.

How It Works

1
📚 Discover Paper Helper Tools

You find these simple helpers that keep you updated on the latest AI research papers from a popular sharing site.

2
🔄 Grab Today's Hot Papers

You refresh to pull in the newest papers, focusing on exciting creation topics and speed-up ideas.

3
✨ See Curated Picks

A neat list pops up with top-voted papers in generation magic and efficiency tricks, sorted by popularity.

4
📄 Create Your Report

Turn the picks into a clean reading list or a fancy printable page to save or share.

5
Choose Next
📤
Share Summary

Send a quick list of top papers to your chat group for everyone to check out.

🔍
Deep Dive One

Pick a paper to send for an AI expert breakdown and smart notes.

6
📝 Track Your Favorites

Your deep reads get saved in a personal log with links for easy review later.

🎉 Stay Inspired Daily

Now you effortlessly get fresh AI insights and detailed breakdowns without missing a beat.

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Star Growth

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AI-Generated Review

What is openclaw-paper-tools?

This Python tool automates daily discovery of Hugging Face papers, scraping the top 30 by upvotes, filtering them into generation and efficiency categories, and outputting Markdown or PDF digests with titles and links. It solves the hassle of manually checking HF daily papers by generating reports you can send via Telegram bots or submit single papers to SwiftScholar for AI-powered deep reads, complete with submission logging and optional Notion sync. Run it via simple shell scripts for automated paper screening and one-click processing.

Why is it gaining traction?

It stands out with seamless Telegram integration for compact daily notifications and one-click submission to SwiftScholar, skipping browser tabs for arXiv deep dives. Developers hook into it for hands-off automated paper notices, turning chaotic feeds into curated lists without building custom scrapers. The proxy support and PDF exports make it reliable for automated workflows like GitHub Actions pipelines.

Who should use this?

ML researchers tracking diffusion models or efficient inference papers who want daily Telegram digests without RSS fatigue. Devs building automated paper farms for team sharing or personal Notion databases. Anyone using SwiftScholar needing quick HF-to-arXiv submission for clinical reviews or data analysis studies.

Verdict

Worth forking for niche HF monitoring at 40 stars and 1.0% credibility score—solid prototype but lacks tests and polished docs, so expect tweaks for production. Try the Telegram sender first if daily automation fits your flow.

(178 words)

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