paper-search-usage

This skill empowers researchers, students, and engineers to streamline their literature review process by providing a unified interface to search global academic repositories. It is designed to act as an intelligent intermediary that translates natural language queries into structured searches across multiple specialized platforms, ensuring comprehensive coverage of scientific literature. Whether you are conducting an exhaustive state-of-the-art review, investigating specific medical phenomena via PubMed, or sourcing engineering technical reports from IEEE and Scopus, this skill minimizes manual cross-platform browsing.

• Multi-platform integration: Seamlessly query arXiv, PubMed, IEEE Xplore, Scopus, ACM Digital Library, and Semantic Scholar.

• Advanced discovery: Supports searching by specific author names, keyword combinations, research topics, and technical terminology.

• Unified workflow: Reduces context switching by aggregating results into a single interface accessible via standard MCP tool patterns.

• Domain versatility: Adapts to diverse fields including biomedical sciences, computer science, engineering, and interdisciplinary academic studies.

• Start with broad keyword-based queries to identify core themes, then refine results using author-specific filters or platform-specific tags.

• Best utilized for academic synthesis, literature mapping, and gathering foundational research for complex technical or scientific projects.

• Expected output involves structured lists of research papers, relevant publication metadata, and direct access to source material or abstracts.

• Ensure clear query formulation when using tools like mcp__paper-search__* to maintain high precision in search results.

• Use this for tasks like finding preprints, looking up scientific literature, fetching engineering standards, or performing broad academic scans.