Blend Construction

SkillDev tools

Construct complete 4-space blends with emergent structure. Orchestrates

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Blend Construction skill

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/blend-construction/SKILL.md and read by ahel’s review.

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

MetricFloor
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

SOPRole
input-space-constructionStage 1 — build input spaces
generic-space-extractionStage 2 — extract shared structure
blend-compositionStage 3 — compose blended space
blend-completionPost-Stage 3 — recruit background knowledge
vital-relation-mappingPre-Stage 1 — map vital relations to guide projection

Signals

GitHub stars
469
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
blend-construction
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine