taxonomy-generator

Generate MECE taxonomies across company, product, project, task, and feature levels.

13|4|Updated Mar 14, 2026

Search Tags:#research #governance #taxonomy #MECE #hierarchy #product-management #data-organization

Ready to run

npx skills add https://github.com/henrique-simoes/Istara --skill taxonomy-generator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: taxonomy-generator
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/define/taxonomy-generator
Command: npx skills add https://github.com/henrique-simoes/Istara --skill taxonomy-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Taxonomy creation is often manual and error-prone; this Skill automatically structures messy research and product data into clear MECE taxonomies to improve clarity and governance.

Core Features & Use Cases

MECE taxonomy generation across company, product, project, task, and feature levels
Cross-reference maps between levels and governance documentation
Evolvable governance framework to accommodate new categories and changes

Quick Start

Provide project context and run taxonomy-generator to produce full MECE taxonomies across levels.

Frequently Asked Questions about taxonomy-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a MECE taxonomy from unstructured research data?▼

To create a MECE taxonomy from unstructured research data, you need to categorize information across company, product, project, task, and feature levels while ensuring categories are mutually exclusive and collectively exhaustive. This Skill automates that structuring process to generate clear hierarchies and tag recommendations from raw findings.

What is the best way to structure product management data into a hierarchy?▼

The best way to structure product management data into a hierarchy is by applying a MECE framework across company, product, project, task, and feature levels. This approach generates cross-reference maps and governance documentation to maintain data clarity and relationships.

How do I generate taxonomy governance documentation for an evolvable data organization system?▼

Generating taxonomy governance documentation requires defining clear level structures and cross-level links that can accommodate new categories over time. This Skill produces an evolvable governance framework alongside your MECE taxonomies to manage ongoing data organization changes.

Can I apply a MECE taxonomy framework to existing project findings and raw data?▼

Yes, you can apply a MECE taxonomy framework to existing project findings and raw data. By providing your project context, the taxonomy generation process structures your current datasets into hierarchical taxonomies with cross-reference maps across all organizational levels.

Why does manual taxonomy creation fail for complex product data?▼

Manual taxonomy creation fails for complex product data because it is error-prone and struggles to maintain mutually exclusive categories across multiple hierarchical levels. Automating the process ensures consistent MECE compliance and generates cross-reference maps for better data governance.