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anti-homogeneity-check

Cluster brainstorm ideas, grade diversity, and diagnose missing dimensions.

Updated Mar 26, 2026
Search Tags:#ideation#evaluation#brainstorm#cluster#diversity#gaps
One-click install
npx skills add https://github.com/d4vidc4rson/paralogy-divergent-thinking-tools --skill anti-homogeneity-check
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: anti-homogeneity-check
Source: https://github.com/d4vidc4rson/paralogy-divergent-thinking-tools/tree/main/skills/anti-homogeneity-check
Command: npx skills add https://github.com/d4vidc4rson/paralogy-divergent-thinking-tools --skill anti-homogeneity-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Brainstorm outputs often appear diverse but hide underlying homogeneity; this skill identifies true variety by clustering ideas, scoring diversity, and diagnosing missing moves.

Core Features & Use Cases

  • Step 1: Cluster — groups ideas by underlying moves.
  • Step 2: Grade — assigns a diversity score to the full set of ideas.
  • Step 3: Diagnose — highlights missing dimensions and gaps in the brainstorm.
  • Use Case: after generating lists from AI, team workshops, or solo ideation to ensure genuinely distinct options before selection.

Quick Start

Paste your list of ideas to run clustering, grading, and gap analysis for diversity.

Frequently Asked Questions about anti-homogeneity-check

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

FAQPage Schema
How do I check if my brainstorm ideas are actually diverse?▼

To check brainstorm diversity, cluster the ideas by their underlying moves and grade the overall variety. This process reveals true homogeneity by diagnosing missing dimensions and highlighting gaps in your ideation set.

What is the best way to evaluate a list of AI-generated ideas for homogeneity?▼

Evaluating AI-generated ideas for homogeneity requires grouping outputs by underlying moves and assigning a diversity score. This diagnostic step identifies hidden overlaps and reports missing dimensions before you make a final selection.

How do I cluster and grade brainstorm outputs from a team session?▼

You can cluster and grade brainstorm outputs by processing the list through a three-phase workflow: grouping ideas by underlying moves, assigning a diversity score, and diagnosing missing dimensions to ensure genuinely distinct options.

Can I use this diversity evaluation for solo ideation across different domains?▼

Yes, this diversity evaluation works for solo ideation across domains like marketing, engineering, science, and policy. It processes brainstorm lists to deliver deterministic clustering, grading, and gap reporting regardless of the subject matter.

When do I need to diagnose missing dimensions in a brainstorm?▼

You need to diagnose missing dimensions when a brainstorm appears superficially diverse but might hide underlying homogeneity. Diagnosing gaps ensures you explore genuinely distinct options rather than variations of the same core move.

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