blend-construction
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/blend-constructionConstruct complete 4-space blends with emergent structure following the Fauconnier-Turner conceptual integration network model.
SKILL.md
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--- name: blend-construction description: Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition. execution: tactic used-by: combinatorial-creativity, concept-blending, multi-level-bisociation, emergent-property-hunting --- # Blend Construction Construct complete 4-space blends with emergent structure following the Fauconnier-Turner conceptual integration network model. ## Stages ### Stage 1: Input Space Construction Build rich input spaces for both source concepts using input-space-construction SOP. Each space must include elements, relations, attributes, and internal logic. ### Stage 2: Generic Space Extraction Extract the shared abstract structure from both input spaces using generic-space-extraction SOP. The generic space captures what the two inputs have in common at the most abstract level. ### Stage 3: Blend Composition Compose the blended space by selectively projecting structure from both inputs and creating new connections using blend-composition SOP. The blend must develop emergent structure not present in either input. ## Minimum Yield | Metric | Floor | |--------|-------| | Complete 4-space blends | ≥2 | | Emergent structures per blend | ≥1 | | Vital relations compressed | ≥3 per blend | | Novel connections in blend | ≥2 per blend | ## Available SOPs | SOP | Role | |-----|------| | input-space-construction | Stage 1 — build input spaces | | generic-space-extraction | Stage 2 — extract shared structure | | blend-composition | Stage 3 — compose blended space | | blend-completion | Post-Stage 3 — recruit background knowledge | | vital-relation-mapping | Pre-Stage 1 — map vital relations to guide projection |