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Skill

/generate-taxonomy

Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.

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ai-runbooks
12830 skills
Install
$ npx -y skills add dandye/ai-runbooks --skill generate-taxonomy --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/generate-taxonomy

Context preview

The summary Claude sees to decide when to auto-load this skill.

Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.

SKILL.md

generate-taxonomy.SKILL.md
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).
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