Skip to content
Back to skills

Concept Blending

ASecurity

Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space

  • 417 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added June 2, 2026
research

Security analysis

A100/100

Scanned June 2, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill concept-blending --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Concept Blending?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Concept Blending
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/yogsoth-ai-concept-blending/badge)](https://www.skillsdirectory.com/skills/yogsoth-ai-concept-blending)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: concept-blending
description: "Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space"
execution: strategy
used-by: combinatorial-creativity
---

# Concept Blending

Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space. Produce novel concepts by selectively projecting structure from two input mental spaces into a blended space that develops emergent structure.

## State Ledger

| Resource | Target | Current | % |
|----------|--------|---------|---|
| web-search | 25 | 0 | 0% |
| web-research | 10 | 0 | 0% |
| paper-overview | 30 | 0 | 0% |
| paper-search | 20 | 0 | 0% |
| paper-research | 10 | 0 | 0% |

## HARD-GATE

Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.

## Available Tactics

| Tactic | Role |
|--------|------|
| combination-mapping | Enumerate blend dimensions and viable combinations |
| blend-construction | Construct complete 4-space blends with emergent structure |
| emergence-detection | Detect emergent properties in completed blends |

## Available SOPs

| SOP | Role |
|-----|------|
| input-space-construction | Build input spaces for source concepts |
| generic-space-extraction | Extract shared abstract structure |
| blend-composition | Compose new connections in blended space |
| blend-completion | Complete blend with background knowledge |
| blend-elaboration | Run blend as mental simulation |
| vital-relation-mapping | Map vital relations between concepts |
| combinatorial-synthesis | Synthesize blending outputs |

## Execution Guidance

1. **Select Input Concepts**: Choose two concepts with rich internal structure
2. **Build Input Spaces**: Use input-space-construction to elaborate each concept's elements, relations, and attributes
3. **Extract Generic Space**: Use generic-space-extraction to find shared abstract structure
4. **Map Vital Relations**: Use vital-relation-mapping to identify compression opportunities
5. **Compose Blend**: Use blend-composition to selectively project and create new connections
6. **Complete Blend**: Use blend-completion to recruit background knowledge
7. **Elaborate Blend**: Use blend-elaboration to run the blend as simulation and discover emergent structure

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…