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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.
Passed 21 of 22 test cases with the skill, and 15 of 22 without it.
and 8 more in the full report
7 fixed14 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are struggling to refactor a 15-year-old monolith. Perform a dialectical escalation analysis on why legacy modernization projects consistently fail. Ensure you surface the required minimum number of implicit governing variables driving the team's behavior.
| Checked | Without skill | With skill |
|---|---|---|
| Surfaces at least three distinct governing variables. | Passed | Passed |
| Generates at least three counter-assumptions corresponding to each governing variable. | Missed | Passed |
The instructions your model reads when the skill loads.
Escalate from single-loop to double-loop learning.
governing-variable-surfacing → counter-assumption-generation → wickedness-scoring
Subagent: governing-variable-surfacing, counter-assumption-generation, wickedness-scoring Shared: assumption-surfacing
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?"
<HARD-GATE>
- Governing variables surfaced: >= 3
- Counter-assumptions generated: >= 3
- Problem dissolution tests: >= 2
- Wickedness assessment: completed if problem persists
</HARD-GATE>
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| counter-assumption-generation | Generate dialectical opposites for governing variables — coherent alternative worldviews where the opposite is true. |
| deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. |
test cases passed, vs 15 / 22 without
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