bom-ub

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/bom-ub

Uses built-upon knowledge to provide actionable recommendations for user tasks

  • Identifies relevant past interactions and data to inform current task execution.
  • Deploys a combination of AI algorithms and historical data to suggest optimal solutions.
  • Analyzes contextual information to determine the most effective course of action.
  • Communicates results through clear, actionable instructions or recommendations.

SKILL.md

.github/skills/bom-ubView on GitHub ↗
---
name: bom-ub
execution: subagent
used-by: parent-a
---
# body

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
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.