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Facet Bisociation

ASecurity

Bridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.

417 stars
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0 copies
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Added 6/1/2026
research

Security Analysis

A100/100

Scanned 6/1/2026

Install to Claude Code

$npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill facet-bisociation --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: facet-bisociation
description: Bridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.
execution: strategy
used-by: cross-domain-discovery
---

# Facet Bisociation

Bridge two unrelated thinking matrices via Koestler bisociation — the creative act occurs at the intersection of two self-consistent but habitually incompatible frames of reference.

## State Ledger

| Resource | Target | Current | % |
|----------|--------|---------|---|
| web-search | 30 | 0 | 0% |
| web-research | 10 | 0 | 0% |
| paper-overview | 25 | 0 | 0% |
| paper-search | 15 | 0 | 0% |
| paper-research | 5 | 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 |
|--------|------|
| analogy-extraction | Extract structural principles from each matrix |
| domain-divergence | Ensure the two matrices are genuinely unrelated |
| bridge-validation | Validate that the bisociation produces deep insight, not surface pun |

## Available SOPs

| SOP | Role |
|-----|------|
| domain-scanning | Identify candidate thinking matrices |
| abstraction-extraction | Abstract the logic of each matrix |
| bisociation-network-construction | Build the collision network between matrices |
| analogy-quality-assessment | Assess depth of the bisociative connection |
| cross-domain-synthesis | Synthesize bisociation outputs into ideas |

## Execution Guidance

1. **Select Matrix A**: Identify the problem's native frame of reference (its habitual logic)
2. **Select Matrix B**: Find a genuinely unrelated frame via domain-divergence tactic
3. **Abstract both**: Extract the operating logic of each matrix using abstraction-extraction
4. **Force collision**: Identify points where the two logics intersect or contradict
5. **Extract insight**: At each collision point, derive a novel perspective or mechanism
6. **Build network**: Use bisociation-network-construction to map all collision points
7. **Validate depth**: Use bridge-validation to confirm insights are structural, not superficial

Attribution

yogsoth-aiyogsoth-ai
View sourceMore from yogsoth-ai →
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3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

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