Introduction
This skill converts a natural-language research question into a reproducible scholarly search. It separates core concepts, synonyms, abbreviations, and boundaries, then builds Boolean queries suited to available indexes and records the search date, source, and result count. Candidate papers are deduplicated, screened for relevance, and organized to show both evidence clusters and gaps.
Use Cases
Use it for early topic scoping, review searches, method-paper discovery, research-group tracking, or focused concept searches. A single question is enough to begin, while seed papers, DOIs, and author names can support citation and keyword expansion.
Template
Provide the question, discipline, date and language limits, required and excluded concepts, target databases, seed papers, and preferred result volume. The output includes concept blocks, queries, a search log, deduplicated records, relevance notes, and evidence gaps.
