vital-relation-mapping
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/vital-relation-mappingMap 15 vital relations between concepts — the fundamental cognitive relations that structure conceptual integration (Change, Identity, Time, Space, Cause-Effect, Part-Whole, Representation, Role, Analogy, Disanalogy, Property, Similarity, Category, Intentionality, Uniqueness).
SKILL.md
.github/skills/vital-relation-mappingView on GitHub ↗
--- name: vital-relation-mapping description: Map 15 vital relations between concepts execution: subagent prompt: ./prompt.md input: concept_pair (string) used-by: combinatorial-creativity, concept-blending, multi-level-bisociation, emergent-property-hunting --- # Vital Relation Mapping Map 15 vital relations between concepts — the fundamental cognitive relations that structure conceptual integration (Change, Identity, Time, Space, Cause-Effect, Part-Whole, Representation, Role, Analogy, Disanalogy, Property, Similarity, Category, Intentionality, Uniqueness). ## Execution Subagent — spawned via subagent-spawning/spawn-agent skill. ## Why Subagent Vital relation mapping requires systematic analysis of 15 distinct relation types between two concepts, each requiring careful judgment about presence, strength, and compression potential. Benefits from methodical dedicated attention.
More from yogsoth-ai/de-anthropocentric-research-engine
- abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
- ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
- ablation-component-mappingMap system architecture to ablatable units for ablation studies
- ablation-designDesign ablation studies to isolate component contributions in ML systems
- ablation-executionRemove components one by one from a system, record the response/impact of each removal.
- abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
- abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
- abstraction-ladderPerform bisociation at multiple abstraction levels
- abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
- abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.