paper-search-usage_skill

Overview

This skill helps search academic papers across major literature platforms with focused commands and agent hooks. It centralizes queries to arXiv, PubMed, IEEE Xplore, Scopus, ACM Digital Library, and Semantic Scholar for fast discovery. The skill is designed for iterative literature exploration and integrates with my Claude Code and OpenAI Codex tooling for reproducible search workflows.

How this skill works

The skill exposes mcp__paper-search__* tools that accept keywords, author names, date ranges, and platform targets. Each search can be routed to a single source or run in parallel across multiple platforms to aggregate results. Results include titles, authors, abstracts, source links, and metadata to help you triage relevant papers quickly.

When to use it

• When you need to find recent preprints or arXiv submissions on a topic.
• When conducting a biomedical literature search using PubMed.
• When looking for engineering or IEEE conference/journal papers.
• When you need a comprehensive, cross-platform literature overview for a review or proposal.
• When you want to locate computer science publications from ACM or indexed results from Scopus.
• When you want AI-powered relevance ranking and citation context via Semantic Scholar.

Best practices

• Start with broad keywords to map the landscape, then refine with phrases, author names, or filters.
• Prefer platform-specific searches for domain specialties (PubMed for biomedicine, IEEE for engineering).
• Combine platform results to reduce bias from a single index and catch cross-disciplinary work.
• Use date and venue filters to focus on recent advances or high-impact sources.
• Save and export search queries and results to reproducibly revisit and share findings.

Example use cases

• Surveying recent arXiv preprints on a new machine learning architecture before prototyping.
• Compiling PubMed references and abstracts for a clinical background section.
• Finding IEEE conference papers on signal processing techniques for a systems design.
• Aggregating citations from Scopus and Semantic Scholar for a literature review chapter.
• Locating ACM-published algorithms and experimental results for replication studies.