abstraction-to-design
The abstraction-to-design skill extracts functional principles from biological systems and translates them into applicable engineering design concepts by systematically removing biological specifics while preserving core mechanisms. Use this skill when developing biomimetic solutions, converting observed natural phenomena into actionable design specifications, or bridging interdisciplinary gaps between biology and engineering disciplines.
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine /tmp/abstraction-to-design && cp -r /tmp/abstraction-to-design/skills/abstraction-to-design ~/.claude/skills/abstraction-to-designSKILL.md
# 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.
Experiment-specific - summarize the DARE executor's research design into a clean research_result report, forced to write back into the spec file produced by formated-specs.
Experiment-specific - replaces writing-specs, emits DARE's 4-layer call plan as a clean research_graph schema. Last step forces load formated-result.
loss-1 judge - read a sample's full dialogue and decide whether the user simulator semantically enacted its Policy Card. check-blind.
loss-2 judge - pairwise quality comparison across the n rungs within one topic; decide monotonicity and endpoint separation. check-blind, D1-D5 only.
Strategy: 面对异常的最佳解释推理
Remove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
Map system architecture to ablatable units for ablation studies
Design ablation studies to isolate component contributions in ML systems