Imports and synchronizes academic libraries from Zotero and Endnote while enriching papers with AI-powered metadata extraction.
This skill integrates external reference managers like Zotero and Endnote into the Scholar All-In-One research terminal, automating the ingestion of complex academic libraries. It handles XML/RIS parsing, matches PDFs to metadata, and utilizes MinerU for sophisticated PDF-to-Markdown conversion. Beyond simple data entry, it employs LLMs to enrich documents with table of contents, abstracts, and structural summaries, while simultaneously updating semantic vector embeddings and full-text indices for advanced AI research workflows.
Key Features
01Automated PDF-to-Markdown conversion using MinerU for high-fidelity text processing
02265 GitHub stars
03Bulk import from Endnote XML/RIS with automated internal PDF matching
04Semantic indexing and vector embedding for enhanced research paper searchability
05Flexible Zotero integration supporting both Web API and local SQLite databases
06AI-driven metadata enrichment including abstract backfilling and TOC extraction
Use Cases
01Automating the digitization and indexing of PDF repositories into searchable markdown
02Migrating a legacy Endnote library into an AI-powered research environment
03Synchronizing web-based Zotero collections for local AI analysis and querying