reverse-brainstorming
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/reverse-brainstormingGenerates novel solutions by inverting anti-solutions
- Solves problems by reframing them as 'how to make it worse'
- Uses reversal-generation and worst-case-design SOPs
- Inverts failure modes to extract constructive insights
- Delivers synthesized positive solutions from negative ideas
SKILL.md
.github/skills/reverse-brainstormingView on GitHub ↗
--- name: reverse-brainstorming description: How to make it worse? → reverse for solutions. Generate anti-solutions then invert to discover novel approaches. execution: strategy used-by: assumption-destruction --- # Reverse Brainstorming How to make it worse? → reverse for solutions. ## State Ledger | Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 15 | 0 | 0% | | web-research | 5 | 0 | 0% | | paper-overview | 15 | 0 | 0% | | paper-search | 10 | 0 | 0% | | paper-research | 3 | 0 | 0% | ## HARD-GATE Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget. ## Available Tactics | Tactic | Role | |--------|------| | inversion-protocol | Reverse → extract → build constructive alternatives | ## Available SOPs | SOP | Role | |-----|------| | reversal-generation | Generate "how to make it worse" statements | | worst-case-design | Design deliberately bad solutions | | inversion-extraction | Extract insights from reversed solutions | | constructive-rebellion | Build positive solutions from negative insights | | destruction-synthesis | Synthesize reverse brainstorming outputs | ## Execution Guidance 1. **Reframe**: Restate the problem as "How could we make this as bad as possible?" 2. **Generate anti-solutions**: Use reversal-generation to produce failure modes 3. **Elaborate worst cases**: Use worst-case-design to flesh out the worst approaches 4. **Invert**: Use inversion-extraction to flip each anti-solution into insight 5. **Build**: Use constructive-rebellion to form viable solutions from inversions 6. **Synthesize**: Produce structured output via destruction-synthesis
More from yogsoth-ai/de-anthropocentric-research-engine
- abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
- ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
- ablation-component-mappingMap system architecture to ablatable units for ablation studies
- ablation-designDesign ablation studies to isolate component contributions in ML systems
- ablation-executionRemove components one by one from a system, record the response/impact of each removal.
- abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
- abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
- abstraction-ladderPerform bisociation at multiple abstraction levels
- abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
- abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.