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deep-insight-dialectical-escalation

Research
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Double-loop learning escalation — surface governing variables, generate counter-assumptions, test if problem dissolves under alternatives, score wickedness if it persists.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/deep-insight-dialectical-escalation/SKILL.md

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Dialectical Escalation

Escalate from single-loop to double-loop learning.

Operations

governing-variable-surfacing → counter-assumption-generation → wickedness-scoring

Available SOPs

Subagent: governing-variable-surfacing, counter-assumption-generation, wickedness-scoring Shared: assumption-surfacing

Execution Guidance

Surface the governing variables (Argyris: the unstated rules everyone follows), generate the opposite assumption for each, test whether the problem still exists under the alternative. If it persists regardless, assess wickedness level.

Single-loop: "How do we solve this problem better?" Double-loop: "Should we be solving this problem at all?"

Minimum Yield

<HARD-GATE>
- Governing variables surfaced: >= 3
- Counter-assumptions generated: >= 3
- Problem dissolution tests: >= 2
- Wickedness assessment: completed if problem persists
</HARD-GATE>

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOPWhen to use
counter-assumption-generationGenerate dialectical opposites for governing variables — coherent alternative worldviews where the opposite is true.
deep-insight-assumption-surfacingSystematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification.
governing-variable-surfacingApply Argyris framework to identify governing variables — the unstated rules driving behavior in a research field.
wickedness-scoringScore a problem against Rittel's 10 criteria to determine if it is tame, complex, or wicked.