literature-survey

A literature survey automates iterative search and full-text retrieval to extract verbatim claims, building a structured evidence matrix that maps sources against their stances on a topic.

An evidence matrix is a structured grid mapping extracted claims against their sources and stances. It aids academic analysis by clearly visualizing consensus, disputes, and research gaps across retrieved full-text documents.

Yes, conducting a literature survey with this Skill requires Python 3.9+ and the literature-search skill to handle citation graph walks and full-text retrieval from academic sources.

You synthesize contradictions and consensus by running an iterative literature survey that extracts verbatim claims, builds an evidence matrix, and outputs a structured synthesis of findings.

The best way is to automate citation graph walks using a literature survey Skill that iteratively searches sources until saturation, retrieves full texts, and builds an evidence matrix for quantitative research.

Literature survey limitations include dependency on the literature-search skill for full-text retrieval and citation graph access. If source documents are inaccessible, the evidence matrix and synthesis will be incomplete.