research-assist

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.