question-synthesis
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/question-synthesis综合所有中间产物生成结构化最终研究问题集
- 解决从多个中间产物中整合研究问题的复杂性
- 依赖框架应用、FINER 结果和子问题等输入
- 通过一致性检查和格式化确保输出质量
- 生成包含完整组件的最终研究问题文档
SKILL.md
.github/skills/question-synthesisView on GitHub ↗
---
name: question-synthesis
description: "SOP: 综合所有中间产物产出最终研究问题集"
version: 1.0.0
category: hypothesis-formation
type: sop
campaign: research-question
input: "所有中间产物(框架应用、FINER 结果、子问题等)"
output: "最终 RQ 文档(完整结构化)"
dependencies:
skills:
- subagent-spawning
---
# Question Synthesis
综合所有中间产物产出最终研究问题集 — campaign 的最终输出步骤。
## HARD-GATE
<HARD-GATE>
输入必须包含: 至少 1 个通过 FINER 检验的 RQ + 对应的框架应用结果。
</HARD-GATE>
## Pipeline
1. **前置检查**: 所有 RQ 是否通过 FINER
2. **收集中间产物**: 框架应用、scope 评估、FINER 结果、子问题、依赖图
3. **一致性检查**: 各产物之间是否一致
4. **格式化**: 按标准格式组装最终文档
5. **完整性检查**: 每个 RQ 是否包含全部 6 个必要组件
6. **输出**: 最终 RQ 文档
## Required Components (per RQ)
每个 RQ 必须包含:
1. Main question(一句话精确表述)
2. Framework(使用的框架及各组件填充)
3. Scope(明确的边界)
4. Success criteria(可测量的成功标准)
5. Sub-questions(如有)
6. FINER assessment(5/5 通过)
## Output Format
```
# Research Question Set
## RQ1: [主问题]
- Framework: [框架名] — [各组件]
- Scope: In scope: [...] / Out of scope: [...]
- Success criteria: [可测量标准]
- Sub-questions: [如有]
- FINER: F✓ I✓ N✓ E✓ R✓
## RQ2: [主问题]
...
```
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