medical-researcher

Medical evidence triangulation across multiple databases requires cross-referencing sources like PubMed, Consensus, and CrossRef to synthesize findings. This Skill coordinates multi-MCP research to evaluate depth, prioritize Tier-1 sources, and generate a citeable evidence report.

Generating a structured medical research report with PMIDs and DOIs involves querying evidence sources and extracting explicit metadata. This Skill triangulates data across multiple MCPs to output structured results including study type, population, and endpoints for literature reviews.

Validating slide deck statements against Tier-1 medical sources requires cross-referencing claims with authoritative evidence. This Skill assesses slide content depth, flags gaps, and generates citable evidence reports to validate statements for presentations like hepatology slide decks.

Synthesizing PubMed and CrossRef data for evidence-based slides demands multi-source discovery and quality assessment. This Skill orchestrates deep medical research across MCPs, prioritizing authoritative references to support high-quality, evidence-based slide generation.

Medical research for literature reviews requiring specific study metrics needs structured outputs detailing study type, population, and endpoints. This Skill satisfies those requirements by triangulating evidence to produce deep, citeable reports with explicit metrics.

Automated multi-MCP medical research should be avoided when superficial content suffices or when Tier-1 sources are unnecessary. This Skill is designed for deep evidence synthesis, prioritizing depth and authoritative references for rigorous literature reviews and slide decks.