alternative-futures
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/alternative-futuresGenerates 2-4 alternative scenarios from the same evidence base
- Challenges artifact conclusions by exploring divergent futures
- Uses subagent execution to isolate creative thinking
- Analyzes evidence base for multiple plausible interpretations
- Returns scenarios with discriminators and plausibility rankings
SKILL.md
.github/skills/alternative-futuresView on GitHub ↗
--- name: alternative-futures description: Generate 2-4 divergent scenarios from the same evidence base, each representing a plausible alternative to the artifact's conclusions. execution: subagent prompt: ./prompt.md input: artifact (string), evidence_base (string) used-by: [red-teaming] --- # Alternative Futures Generates multiple competing scenarios to challenge the dominant narrative. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Alternative generation requires creative divergent thinking without anchoring on the artifact's conclusions. Isolated context prevents confirmation bias. ## Input - **artifact**: The artifact whose conclusions are being challenged - **evidence_base**: The evidence available (same evidence, different interpretations) ## Output - **alternatives**: 2-4 divergent scenarios, each internally consistent - **discriminators**: Observable indicators that would distinguish between alternatives - **plausibility_ranking**: Relative plausibility of each alternative vs. the artifact's conclusion
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.