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taxonomy-generate
Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | taxonomy-generate |
| description | Develop hierarchical classification systems. Creates parent-child categorical structures for content organization. |
| required_roles | {"scribe":"roles/scribe.editor"} |
| personas | ["information-architect","taxonomist","knowledge-manager"] |
Develop a hierarchical classification system or taxonomy for a knowledge base or content repository. This skill creates parent-child categorical structures to organize content effectively.
PATH - The content source to analyze (e.g., "/knowledge-base")FACETED - (Optional) Boolean, whether to create a faceted classification (multiple dimensions) (default: false)BUSINESS_ALIGNMENT - (Optional) Boolean, whether to align with specific business goals/terminology (default: true)USER_TESTING - (Optional) Boolean, whether to include user validation methodologies in the output (default: false)Analyze the content at PATH to identify key topics, subjects, and categories.
Organize the extracted concepts into a hierarchy.
BUSINESS_ALIGNMENT is true).USER_TESTING is true, generate a plan for card sorting or tree testing to validate the structure.Output the defined taxonomy.
A TAXONOMY_DEFINITION document (e.g., in markdown or YAML format) containing:
Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.
Analyze vocabulary overlap and identify named entities unique to domain/document corpora.
Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).
Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.
Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.