--- type: Skill name: generate-taxonomy 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] generated: by: process:google-labs-jules at: 2026-01-29T21:19:07Z --- # Generate Taxonomy Skill 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. ## Inputs - `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) ## Workflow ### Step 1: Content Analysis & Term Extraction Analyze the content at `PATH` to identify key topics, subjects, and categories. - Cluster documents by similarity. - Extract common tags and keywords. ### Step 2: Structure Design Organize the extracted concepts into a hierarchy. - **Hierarchical**: Define Broader Terms (Parent) and Narrower Terms (Child). - **Faceted** (if enabled): Define dimensions (e.g., Topic, Format, Audience, Region). ### Step 3: Business & User Alignment - Align terms with business vocabulary (if `BUSINESS_ALIGNMENT` is true). - If `USER_TESTING` is true, generate a plan for card sorting or tree testing to validate the structure. ### Step 4: Taxonomy Definition Output the defined taxonomy. ## Required Outputs A `TAXONOMY_DEFINITION` document (e.g., in markdown or YAML format) containing: - **Taxonomy Tree**: Visual or indented list of categories. - **Facets** (if requested): Definitions of classification dimensions. - **Rules**: Guidelines for applying the taxonomy. - **Testing Plan** (if requested): Methodologies for validation. ## Quick Reference - **Purpose**: Systematically classify content for retrieval optimization. - **Types**: Hierarchical (Tree) vs. Faceted (Matrix).