abstraction-to-design

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/abstraction-to-design

Abstract biological principles into design principles for engineering applications

  • Identifies key biological strategies and translates them into relevant engineering solutions.
  • Utilizes existing APIs and services to abstract biological data and convert it into design patterns.
  • Analyzes the functional aspects of biological principles while mapping them onto suitable engineering contexts.
  • Generates and delivers design recommendations that bridge the gap between biology and technology.

SKILL.md

.github/skills/abstraction-to-designView on GitHub ↗
---
name: abstraction-to-design
description: "Abstract biological principle to design principle. Bridge from biology to engineering."
execution: subagent
prompt: ./prompt.md
input: biological_strategy (string)
used-by: biologize-and-discover, functional-analogy, biotriz-resolution, ecosystem-pattern, evolution-strategy, life-principles-application
---

# Abstraction to Design

Abstract biological principle to design principle.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Abstraction requires careful removal of biological specifics while preserving the functional essence, then mapping to engineering design space. Benefits from focused analytical attention to avoid over-literal or over-abstract transfers.

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.
action-priority-matrixCompute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.