facet-bisociation
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/facet-bisociationBridge two unrelated thinking matrices via Koestler bisociation — the creative act occurs at the intersection of two self-consistent but habitually incompatible frames of reference.
SKILL.md
.github/skills/facet-bisociationView on GitHub ↗
--- 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