Quality-Diversity Filtering

Quality-diversity filtering applies MAP-Elites-inspired niche selection to JSON inputs, retaining only the top-scoring idea per gap and method-type combination. It outputs a diverse, reduced set along with a niche map and reasoning for audit.

MAP-Elites-inspired niche selection balances quality and coverage by pruning ideas within each gap and method-type intersection. It prevents single-approach dominance by keeping only the highest-scoring candidate per niche, ensuring broad exploration.

Provide candidate ideas and gaps in JSON format to run the quality-diversity filter. The Skill processes these inputs to return deterministic filtered ideas, a removed count, a niche map, and reasoning for reproducibility.

Yes, this Skill filters large candidate idea sets into a compact, diverse set for evaluation. It ensures deterministic, reproducible results by providing filtered ideas, removed counts, and a niche map across gap-method combinations.

Without quality-diversity filtering, ideation pipelines often suffer from single-approach dominance. Applying MAP-Elites-inspired niche selection retains the top idea per gap and method-type, ensuring broad coverage and diverse exploration.

Avoid MAP-Elites niche selection when your goal is to retain all high-scoring ideas regardless of overlap, or when your inputs lack defined gap and method-type categories needed to form the niches required for diversity pruning.