taxonomy-builder

To generate a taxonomy from research papers, you provide a core paper set in CSV format and scope constraints. This skill processes the literature to output a structured YAML file with multi-level categories and short descriptions per node.

Building a structured domain model from a CSV file involves automated categorization based on paper content. This skill creates a YAML taxonomy with at least two hierarchical levels, organizing complex literature into a structured outline for easier understanding.

Yes, you can create taxonomies for LLM agents or generative image models using domain-specific packs. The skill includes specialized packs for these domains and embodied AI, falling back to a generic builder when no specific pack applies.

Yes, you need a specific input format to organize literature into a YAML taxonomy. The skill requires a core_set.csv file containing your gathered research papers as input to generate the structured outline.

A limitation when generating a multi-level taxonomy automatically is the reliance on the initial core_set.csv input scope. The generated YAML outline serves as an initial structured draft that typically requires manual refinement for final survey documents.

Yes, the taxonomy-builder skill supports domains outside of embodied AI and LLMs. When no domain-specific pack applies to your research papers, it automatically falls back to a generic builder to create the structured YAML taxonomy.