Biomedical Literature Search

Problem It Solves

Biomedical literature search often stalls at the step where a researcher knows what to study but not which query terms to use. A research question may span diseases, genes, experimental methods, animal models, and clinical outcomes. Sent directly to a database, such a question can miss relevant records or return too broad a set. This skill helps turn a natural-language research question into clearer literature-search cues, reducing repeated manual keyword unpacking.

How It Works

Centered on the @org-ekt13cme/paper-search retrieval goal, the skill helps identify biomedical topics and key concepts, then organizes candidate literature clues. Typical steps include:

• Topic extraction: pull out clues such as disease, biomolecule, method, population, or study type from the prompt.
• Query-term organization: convert informal wording into expressions closer to titles, abstracts, and index terms.
• Clue arrangement: present related entries in a readable form for checking sources, titles, and abstracts.
• Iterative refinement: narrow the scope, swap keywords, or add constraints in follow-up turns.

Boundaries

It is suited as an early-stage search assistant for shaping queries and candidate lists. It does not replace database access, licensing, citation-format validation, or close reading. When specific database interfaces or authoritative sources are unavailable, the output should be treated as search clues rather than final citable conclusions.