What problem does it solve? Literature reviews and novelty checks often rely on a single keyword search, missing papers that attack the same problem by different methods and leaving no record of what was rejected. This Skill runs a disciplined multi-source sweep across scholarly APIs so related work, research clusters, and gaps are found systematically and recorded verifiably. ## Core Features & Use Cases - Citation-graph recall: Expands searches through citation and reference edges using OpenAlex, OpenCitations, Semantic Scholar, Crossref, Unpaywall, and arXiv, with author expansion as a secondary signal. - Novelty gate: Produces a positioning table of nearest neighbors, a defensible delta, scooping-risk assessment, and a survive/pivot verdict before building a new method. - Author and lab corpus mapping: Resolves author identity, builds verified publication lists, and maps research trajectories ranked by contrastive originality. - Use Case: Before proposing a new retrieval method, ask for a novelty gate on your idea; the Skill searches your own notes first, sweeps external sources along citation edges, and returns a comparison table showing exactly which feature combination no single paper has. ## Quick Start Run a literature search on retrieval-augmented generation evaluation methods and give me a cluster map with representative papers and gaps.
