abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-separation-principle --agent claude-codeHow it fires
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/apply-separation-principleContext preview
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Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.
name: apply-separation-principle description: "Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level."
Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.
required: [contradiction, conflicting_requirements] optional: [system_boundary, operating_conditions] constraints: [requirements must be stated as mutually conflicting outcomes]
1. State the useful and harmful effects that cannot coexist (`conflicting_requirements`). 2. Test separation in time, space, scale, condition, and system level. 3. Select the separation that removes the conflict and state its operating condition.
produces: [separation_candidates, selected_principle, operating_condition] delta_fields: [findings, hypothesis_updates, decisions, uncertainties]
Do not call parameter tuning a separation when both requirements still occur under the same condition.
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.