---
name: yogsoth-ai/blend-construction
source: https://app.decimal.ai/s/yogsoth-ai-blend-construction@1/SKILL.md
source_sha256: bca5c89ea1eb
---

# 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 |