sub-question-decomposition

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/sub-question-decomposition

Decomposes 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

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.