Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.
Scanned 6/1/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill diversity-maximization --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: diversity-maximization
description: Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.
used-by: portfolio-optimization
---
# Diversity Maximization
## Purpose
Select a portfolio that maximizes coverage across the solution space, avoiding redundancy and ensuring representation of distinct approaches, domains, or capabilities.
## When to use
- Redundancy between candidates is a concern
- Coverage of different niches or capabilities matters
- Innovation portfolio needs variety of approaches
- Hedging through diversity rather than risk modeling
## Budget
| Dimension | Target |
|-----------|--------|
| Candidates evaluated | 8-20 |
| Niches defined | 4-10 |
| Diversity dimensions | 2-5 |
| Coverage threshold | >=80% of defined niches |
## State Ledger
| Field | Type | Description |
|-------|------|-------------|
| candidates | list | All candidates with feature vectors |
| niches | list | Defined niches or capability areas |
| coverage_map | matrix | Which candidates cover which niches |
| diversity_score | number | Aggregate diversity metric |
| gaps | list | Uncovered or under-covered niches |
## Available Tactics
| Tactic | When |
|--------|------|
| niche-coverage-analysis | Need to map and score coverage systematically |
| pareto-frontier-construction | Trading off diversity against cost or value |
## Available SOPs
| SOP | Purpose |
|-----|---------|
| niche-definition | Define the niches to cover |
| niche-mapping | Map candidates to niches |
| coverage-scoring | Score how well portfolio covers space |
| objective-definition | Define diversity objectives formally |
## Execution Guidance
1. Define the diversity dimensions and niches via niche-definition
2. Map all candidates to niches via niche-mapping
3. Score current coverage and identify gaps via coverage-scoring
4. Select portfolio that maximizes coverage while respecting constraints
5. If value also matters, use pareto-frontier-construction to trade off
## Output Format
```yaml
strategy: diversity-maximization
selected_portfolio:
- candidate: <name>
niches_covered: [<niche1>, <niche2>]
coverage_score: <0-1>
redundancy_score: <0-1>
gaps_remaining:
- niche: <name>
severity: <high|medium|low>
method_used: <MAP-Elites|niche-coverage|max-dispersion>
```
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