research-assist

Discover academic papers via Zotero profiles and arXiv semantic searches.

47|2|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/zhanglg12/research-assist --skill research-assist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-assist
Source: https://github.com/zhanglg12/research-assist/tree/main
Command: npx skills add https://github.com/zhanglg12/research-assist --skill research-assist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the discovery of relevant academic papers by leveraging your existing Zotero library to understand your research interests, eliminating the need for manual keyword searching and sifting through irrelevant results.

Core Features & Use Cases

  • Zotero-Driven Profiling: Automatically builds a research profile from your Zotero collections, tags, and representative papers.
  • Semantic Search & Ranking: Queries arXiv based on your profile, ranking papers by both relevance to your research map and semantic similarity to your Zotero library.
  • AI-Enriched Digests: Provides concise, AI-generated summaries, recommendations, and takeaways for top paper candidates.
  • Feedback Loop: Optionally syncs your decisions (read, skim, archive) back into Zotero to improve future recommendations.
  • Use Case: A researcher working on "Physics-Informed Neural Networks" can have the Skill automatically find new arXiv papers relevant to their specific Zotero-curated topics, delivering a daily digest of the most promising new research with AI-generated summaries.

Quick Start

Use the research-assist skill to find new papers based on my Zotero library.

Frequently Asked Questions about research-assist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find relevant arXiv papers automatically using my Zotero library?

You can find relevant arXiv papers automatically by using your Zotero library to build a research profile, which then performs semantic searches and ranks papers based on semantic affinity to your existing collections.

How does semantic search rank academic papers based on my research profile?

Semantic search ranks academic papers by evaluating both their fit within your Zotero-derived research map and their semantic similarity to the representative papers already stored in your Zotero library.

Can I get AI-generated summaries for new academic papers discovered on arXiv?

You can get AI-generated summaries for newly discovered arXiv papers, which provide concise digests, recommendations, and takeaways for the top-ranked candidates matched to your research interests.

Does this research discovery approach require direct access to my Zotero data?

Yes, this approach requires access to your Zotero library data to understand your research interests, and it uses the arXiv API for retrieval to automate the discovery of relevant academic papers.

How do I sync my paper reading decisions back into Zotero for future recommendations?

You can optionally sync your read, skim, or archive decisions back into Zotero, creating a feedback loop that continuously improves the accuracy of future paper recommendations.

What is the best way to discover Physics-Informed Neural Networks papers without manual keyword searching?

The best way to discover specific papers without manual keyword searching is to curate representative topics in your Zotero library, allowing the system to automatically deliver a digest of matching new research.