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yogsoth-aiyogsoth-ai/convergence/skills/diversity-maximization/SKILL.md

diversity-maximization

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

Maximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.

The file

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  • Distinctive
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  1. Distinctive:

    If value also matters, use pareto-frontier-construction to trade off

    line 61

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SKILL.md

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

DimensionTarget
Candidates evaluated8-20
Niches defined4-10
Diversity dimensions2-5
Coverage threshold>=80% of defined niches

State Ledger

FieldTypeDescription
candidateslistAll candidates with feature vectors
nicheslistDefined niches or capability areas
coverage_mapmatrixWhich candidates cover which niches
diversity_scorenumberAggregate diversity metric
gapslistUncovered or under-covered niches

Available Tactics

TacticWhen
niche-coverage-analysisNeed to map and score coverage systematically
pareto-frontier-constructionTrading off diversity against cost or value

Available SOPs

SOPPurpose
niche-definitionDefine the niches to cover
niche-mappingMap candidates to niches
coverage-scoringScore how well portfolio covers space
objective-definitionDefine 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

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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