literature-mapping

To build a systematic review literature map, you input a research topic and the skill clusters papers by problem, method, or dataset to produce a structured topic-level map. This map organizes scattered literature into coherent topic clusters for systematic review support.

The best way to identify baselines and assess topic coverage is to generate a topic-level literature map that automatically highlights representative baselines and exposes gaps in coverage. This allows you to confirm topic scope and evaluate baseline representation across your research area.

Yes, you can use the generated literature map for downstream gap detection and claim extraction. The skill produces an export-ready structured map designed specifically to feed into gap_detect and claim_extract workflows for deeper systematic analysis.

To cluster research papers by method or dataset, you provide a topic area and the skill groups the ingested core papers accordingly. It creates a structured literature map with distinct clusters based on problem, method, dataset, or evaluation style.

No specific dependencies or components are required to use this systematic review mapping tool. You simply input a topic area to initiate the paper clustering, baseline discovery, and coverage assessment process without any prior technical environment setup.