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).

npx skills add https://smithery.ai