Extracts taxonomy seeds and hierarchical topics from academic survey papers to bootstrap research structures.
Survey Seed Harvest is a specialized research accelerator designed to automate the initial phase of domain mapping. By scanning retrieved paper sets for keywords like 'survey,' 'review,' or 'meta-analysis,' this skill identifies high-value academic sources and extracts candidate terminologies and structural themes. It generates a preliminary YAML-based taxonomy that serves as a foundation for more advanced tools like taxonomy-builder. This evidence-first approach ensures that your research framework is grounded in existing literature while preventing the common pitfall of creating generic or hollow structural categories.
Key Features
0189 GitHub stars
02Automated identification of survey and review papers within datasets
03Hierarchical extraction of 4–10 top-level topics and sub-themes
04Standardized YAML output for seamless integration with research pipelines
05Actionable node descriptions derived directly from paper abstracts
06Configurable term selection based on frequency and ranking thresholds
Use Cases
01Accelerating domain mapping by extracting terminology from existing meta-analyses
02Bootstrapping the structural framework for a new literature review
03Providing structured seeds for automated taxonomy building pipelines
