xuezheng627

A Codex skill for daily AI literature digests

14
1
85% credibility
Found May 26, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Daily Literature Digest Skill is a research automation tool that helps academics and professionals stay updated with new papers in their field. It works with your AI assistant to automatically search academic databases for papers matching your research interests, creates a daily digest with summaries, and emails it to you each morning. The tool only uses publicly available paper information and abstracts—it does not bypass publisher paywalls or require any logins beyond Gmail. You can convert your digest into a Word document, and the tool keeps a local archive of all your searches so you never miss important research.

How It Works

1
🔬 You want to stay current with research

As a researcher, you need to keep up with new papers in your field but searching manually takes too much time.

2
📦 You install the skill

You add this tool to your AI assistant with a simple copy-paste command, and it appears in your assistant's menu.

3
📧 You connect your email

You link your Gmail account so the daily digests arrive directly in your inbox, no extra steps needed.

4
🔑 You choose your research topics

You tell your assistant which subjects interest you, like 'machine learning' or 'building energy', and when you want your digest delivered.

5
Your first digest arrives

Your assistant searches academic databases, finds papers matching your interests, and sends you a beautiful summary in your inbox.

6
📚 You discover papers worth reading

The digest shows you titles, abstracts, and authors organized by relevance. Papers without full text go to a follow-up list for later.

🎉 You stay current effortlessly

Every morning at your chosen time, fresh research lands in your inbox. You spend less time searching and more time reading.

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AI-Generated Review

What is daily-literature-digest-skill?

This is a Codex skill that automates daily research paper discovery. It monitors Crossref, OpenAlex, and arXiv for new publications matching your keywords, then emails you a curated digest each morning. Built in Python, it queries publisher APIs to find papers from Elsevier, Springer Nature, Wiley, and Taylor & Francis, scoring results by relevance and filtering out corrections and retractions. The digest includes titles, abstracts, authors, and DOIs, with a separate inbox for papers lacking abstracts that need manual follow-up.

Why is it gaining traction?

Researchers waste hours manually tracking new literature across multiple databases. This skill automates that workflow entirely, replacing bookmarked searches and RSS feeds with a single daily email. The keyword matching is inclusive by design—one hit is enough to include a paper. It respects publisher boundaries by only fetching open metadata, avoiding any password storage or paywall circumvention. The DOCX export option makes it easy to archive digests in a format suitable for literature reviews.

Who should use this?

Academic researchers, PhD students, and R&D engineers who need to stay current in specialized fields. Anyone conducting systematic literature reviews or tracking specific methodologies will benefit most. If you currently use Google Scholar alerts, Zotero feeds, or manually check arXiv daily, this automates that workflow. It is less useful for casual readers or those who prefer curated newsletters over personalized alerts.

Verdict

This is a niche but genuinely useful tool for researchers drowning in literature. The credibility score of 0.85% reflects its early stage—only 14 stars and limited community feedback. Documentation is clear, but test coverage and maintenance history are unknown. Install it if you have Codex and want hands-free literature tracking; otherwise, the concept is solid but the project needs more users and contributors to prove long-term reliability.

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