evidence-synthesis

To synthesize evidence for policy, this Skill extracts findings from multiple sources and builds a structured comparative matrix highlighting convergences, divergences, and gaps. It processes your documents to generate traceable citations and a representativeness analysis.

Handling divergences in a literature review involves explicitly highlighting conflicts and uncertainties across sources. This Skill structures these divergences within a comparative matrix, ensuring every factual claim remains cited and any overgeneralizations are clearly flagged.

Generating a policy briefing package with traceable citations requires combining your sources into a single structured output. This Skill constructs an evidence extraction table with verifiable author-year citations, page references, and representativeness checks across populations and geography.

Checking representativeness for coverage gaps across populations is a core function of this Skill. It identifies missing data and evaluates coverage across geography, populations, and perspectives, clearly flagging any overgeneralizations or missing data within the synthesis.

Evidence synthesis ensures factual claims are cited by attaching author-year and page or section references to every extracted finding. The Skill generates an evidence extraction table where all claims are traceable to their original documents, preventing unsupported statements.