de Bono lateral escape sequence — identify dominant idea, generate provocations (escape/reversal/exaggeration/distortion), follow consequences to extract new framings. Breaks paradigm lock-in.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: lateral-escape
description: de Bono lateral escape sequence — identify dominant idea, generate provocations (escape/reversal/exaggeration/distortion), follow consequences to extract new framings. Breaks paradigm lock-in.
execution: tactic
used-by: dominant-idea-escape
---
# Lateral Escape
Break paradigm lock-in through systematic provocation.
## Operations
dominant-idea-identification → provocation-generation → consequence-following
## Available SOPs
**Subagent:** dominant-idea-identification, provocation-generation, consequence-following
**Import:** web-research
## Execution Guidance
First identify what everyone "knows" (the dominant idea), then systematically challenge it via PO provocations (4 types: escape, reversal, exaggeration, distortion), follow each provocation's consequences to see if viable new framings emerge.
The goal is not to prove the dominant idea wrong — it is to escape its gravitational pull and discover what becomes visible from outside it.
## Minimum Yield
```
<HARD-GATE>
- Dominant ideas identified: >= 2
- Provocations generated: >= 4 (one per type minimum)
- Consequence chains followed: >= 3
- Viable new framings extracted: >= 1
</HARD-GATE>
```
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