What problem does it solve?
Researchers and students waste hours switching between PubMed, Semantic Scholar, bioRxiv, and other engines to find papers, often missing relevant work because each engine covers different domains. This Skill unifies six engines into one adaptive workflow that automatically picks the right search strategy based on what you actually need.
Core Features & Use Cases
- Five adaptive search modes: Explore for broad discovery, Precise for specific papers or authors, Latest for recent preprints, AI for non-paper web content, and Associate for finding similar papers.
- Six integrated engines: Semantic Scholar, PubMed, bioRxiv, PsyArxiv, Consensus, and Tavily—each used for its strengths.
- Intelligent routing: Automatically detects whether you want a literature review, NIH grant scoping, or a quick paper lookup and delegates to the right tool or mode.
Quick Start
Use the lit-search skill to find recent papers on hippocampal replay during sharp-wave ripples and summarize the key findings.