academic-research

The academic-research skill serves as a comprehensive interface for researchers, students, and analysts to navigate the vast ecosystem of scholarly literature. By integrating multiple Model Context Protocol (MCP) servers, it abstracts the complexity of disparate academic databases, allowing users to perform unified queries across arXiv, PubMed, bioRxiv, medRxiv, Semantic Scholar, and Google Scholar. This skill is designed for literature reviews, bibliographic tracking, and discovery tasks where precision and connectivity are paramount.

• Unified multi-source search across major repositories including arXiv, PubMed, and Semantic Scholar.

• Advanced citation network analysis to map influence and find related works within a field.

• Support for multiple bibliographic formats, including BibTeX, APA, MLA, and Chicago styles, facilitating seamless integration into reference managers like Zotero.

• Direct PDF discovery and retrieval capabilities for accessible research papers.

• Specialized author-based search, paper recommendations, and cross-reference checks between different academic disciplines.

• Seamless interleaving with graph theory tools via networkx to analyze publication patterns and citation clusters.

• Typical usage involves querying for specific research topics, retrieving citation metadata for LaTeX or Word documents, and exploring the research lineage of specific papers.

• Input requirements generally consist of search queries, specific paper identifiers, or author names; outputs are formatted metadata, citation strings, or direct links to source content.

• The skill tracks provenance and annotations as per Software Design for Flexibility (SDF) principles, ensuring that research data remains consistent and traceable.

• Designed for high-performance academic inquiry, it functions as a critical component in the K-Dense-AI ecosystem, enabling users to interleave literature findings with formal graph analysis or mathematical verification modules.

• Users can extend this skill by connecting to external databases like OpenAlex, Crossref, or local Zotero libraries via the provided MCP configuration patterns.