topic_survey

To map a research field for a literature review, this Skill coordinates searches across local vec-db, Semantic Scholar, and web sources to locate key papers and sub-topics. It outputs a structured literature map with seeds and follow-up steps for deeper synthesis.

The best way to explore sub-topics in a literature survey is through interactive scoping. This feature clarifies your core question, scope, and depth, then organizes multi-source discovery results into sub-topics with actionable reading plans for guided exploration.

You can use Semantic Scholar and local vec-db together by providing a research topic and optional seeds. The Skill coordinates these sources automatically, running multi-source discovery to surface representative papers and assemble a unified literature map.

Yes, you can generate a structured reading plan from an initial literature search. After mapping your research topic and identifying key papers, the Skill produces a user-guided plan and prompts designed to drive deep dives, reading lists, and final synthesis into a review.

No, you do not need to provide seed papers to start a literature survey. You can simply provide a research topic, and the Skill will generate an initial landscape using local vec-db, Semantic Scholar, and web sources, though optional seeds can refine the scoping.

Automated literature review tools provide a structured landscape and reading plan but require user-guided deep dives for final synthesis. The output organizes sub-topics and key papers, yet the actual reading and integration into a cohesive review remain a manual next step.