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Skill

/apply-separation-principle

Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-separation-principle --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/apply-separation-principle

Context preview

The summary Claude sees to decide when to auto-load this skill.

Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.

SKILL.md

apply-separation-principle.SKILL.md
name: apply-separation-principle
description: "Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level."

apply-separation-principle

Purpose

Resolve a physical contradiction by separating conflicting requirements in time, space, scale, condition, or system level.

Input contract

required: [contradiction, conflicting_requirements]
optional: [system_boundary, operating_conditions]
constraints: [requirements must be stated as mutually conflicting outcomes]

Procedure

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.

Output contract

produces: [separation_candidates, selected_principle, operating_condition]
delta_fields: [findings, hypothesis_updates, decisions, uncertainties]

Quality gates

  • Each candidate names the separated dimension and preserves the useful effect while removing the harmful one.

Failure and counterexamples

Do not call parameter tuning a separation when both requirements still occur under the same condition.

Provenance map

  • `triz/separation-principles`: concept (the exact pool entry is singular `separation-principle`; near-name substitution is forbidden).
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Ships withde-anthropocentric-research-engine

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.

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Python
Language
Apache-2.0
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6h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine