sub-question-decomposition
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/sub-question-decompositionDecomposes complex questions into answerable sub-questions with dependencies mapped
- Solves problems that are too complex to answer directly by breaking them down
- Relies on sub-question-generation, dependency-mapping, and answering-sequence-design SOPs
- Structures execution as a serial workflow with strict step dependencies
- Delivers structured output including sub-questions, dependency graphs, and parallelization opportunities
SKILL.md
.github/skills/sub-question-decompositionView on GitHub ↗
---
name: sub-question-decomposition
description: "Tactic: 将主问题分解为可独立回答的子问题层级"
version: 1.0.0
category: hypothesis-formation
type: tactic
campaign: research-question
sops:
- sub-question-generation
- dependency-mapping
- answering-sequence-design
dependencies:
skills:
- subagent-spawning
---
# Sub-Question Decomposition
将主问题分解为可独立回答的子问题层级 — 当问题太复杂无法一次回答时。
## 编排意图
将"分解复杂问题"结构化为:生成子问题 → 映射依赖 → 设计回答顺序。三步依次执行,每步产出是下步输入。
## 可用 SOPs
| SOP | 职责 | 何时调用 |
|-----|------|---------|
| sub-question-generation | 将主问题分解为子问题 | 第一步,必调 |
| dependency-mapping | 映射子问题间的依赖关系 | 子问题生成后 |
| answering-sequence-design | 设计最优回答顺序 | 依赖图完成后 |
## 编排模式
**串行模式(唯一模式)**:
1. sub-question-generation → 子问题列表 + 独立性论证
2. dependency-mapping → 依赖图 + 关键路径
3. answering-sequence-design → 执行序列 + 并行机会
每一步严格依赖前一步的输出,不可并行。
## Minimum Yield
- ≥3 个子问题(M tier)
- 每个子问题有独立性论证
- 依赖图(无循环依赖)
- 建议回答序列 + 并行机会识别
## Yield Report
执行完成后报告:
- 生成的子问题数量
- 依赖关系数量
- 关键路径长度
- 可并行的子问题组
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.