huangkiki

用Claude Code skills打造我的论文流水线

232
26
89% credibility
Found Mar 10, 2026 at 182 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of helpers that automate discovering, reading, enriching, and organizing daily research papers into structured notes linked to a personal reference library.

How It Works

1
🔍 Discover daily paper helper

You find a handy tool that keeps you updated on the latest research papers in areas like robots and AI without the hassle.

2
📁 Point to your notes and library

You tell it where your personal notes folder and reference collection are stored on your computer.

3
Choose your favorite topics

You pick interests like robot movements or smart models so it knows what papers excite you.

4
📥 Grab and pick best papers

It fetches fresh papers each day, scores them by relevance, and selects the top ones just for you.

5
🤖 AI creates smart notes

Magic happens as it reads papers, pulls images, adds insights, and builds beautiful, organized notes with links and summaries.

6
📂 Everything gets sorted neatly

Your notes automatically move to the right folders by topic, with handy indexes to browse easily.

🎉 Build your knowledge garden

Now you have a growing collection of easy-to-navigate notes that help you learn and connect ideas effortlessly.

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Star Growth

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AI-Generated Review

What is dailypaper-skills?

This Python toolkit automates a daily paper pipeline for arXiv feeds, fetching fresh robotics and AI papers like world models or sim-to-real, scoring them by custom keywords, enriching with affiliations, figures, and method summaries, then piping them into structured Obsidian notes via Claude code skills. It solves the drudgery of manual curation—download images, parse metadata, generate concept maps—for Zotero-integrated workflows. Run it as scripts or a daemon to build a searchable knowledge base without leaving your vault.

Why is it gaining traction?

Unlike basic RSS scrapers, it leverages Claude code cli for smart enrichment and note generation, pulling real-world experiment flags and method names automatically, plus Obsidian MOC builders for instant navigation. The Zotero daemon handles rate limits with retries, and reorganizers auto-sort notes by tags into categories like VLA or 3DGS. Developers dig the claude code skills integration for turning raw dailypaper feeds into polished, linked content—no more copy-paste hell.

Who should use this?

ML researchers tracking cs.RO or cs.CV dailypapers who use Obsidian for PKM and Zotero for libraries. Robotics PhDs filtering embodied AI or diffusion models daily. Power users tweaking claude code install for custom pipelines on Windows or via GitHub Actions.

Verdict

Solid niche tool for automated paper ingestion—grab it if Claude code pricing fits your workflow (156 stars show early buzz). Credibility score sits at 0.8999999761581421%, reflecting personal project maturity with thin docs, but scripts run reliably out-of-box for dedicated tinkerers.

(198 words)

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