abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Infer the shared abstract relational structure that is common across conceptual-blend input spaces.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-generic-space --agent claude-codeHow it fires
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Infer the shared abstract relational structure that is common across conceptual-blend input spaces.
name: extract-generic-space description: "Infer the shared abstract relational structure that is common across conceptual-blend input spaces."
Infer the shared abstract relational structure common across conceptual-blend input spaces.
required: [input_space_set] optional: [candidate_relations, blend_goal] constraints: [generic relations must be present in at least two input spaces]
1. Compare roles and relations across the input spaces. 2. Keep only shared structure and mark source-specific attributes. 3. Validate the generic space against the blend goal before projection.
If the generic space supports a coherent candidate blend, consider `simulate-emergent-properties` as the next tactic.
produces: [generic_space, shared_relations, excluded_attributes] delta_fields: [findings, hypothesis_updates, uncertainties]
Return no generic space when the inputs share only vocabulary or when relation alignment is ambiguous.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.