theory-identification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/theory-identification

Identifies relevant theory frameworks for a given research gap

  • Solves the problem of finding theoretical foundations for unaddressed research questions
  • Uses literature-engine, web-browsing, and subagent-spawning for comprehensive search
  • Evaluates relevance and applicability of theories to the specified research gap
  • Returns a structured list of theories with core claims and relevance ratings
SKILL.md
.github/skills/theory-identificationView on GitHub ↗
---
name: theory-identification
description: "SOP: 识别与研究gap相关的理论框架"
version: 1.0.0
category: hypothesis-formation
type: sop
campaign: hypothesis-formulation
input: "研究 gap 描述 + 领域标签"
output: "相关理论框架列表 [{name, source, core_claim, relevance, applicability}]"
dependencies:
  skills:
    - subagent-spawning
    - literature-engine
    - web-browsing
---

# Theory Identification
识别与研究 gap 相关的理论框架,为机制提取提供理论基础。

## HARD-GATE
<HARD-GATE>
前置条件(全部满足才能开始):
1. 已有明确的研究 gap 描述(包含领域、现象、未解答的问题)
2. 领域标签已提供(用于文献扫描方向)

不满足 → 停止,返回错误:缺少 gap 描述或领域标签。
</HARD-GATE>

## Pipeline
1. 前置检查:验证 gap 描述与领域标签完整性
2. 文献扫描:搜索与 gap 相关的理论文献(literature-engine + web-browsing)
3. 理论筛选:保留与 gap 直接或间接相关的理论(≥3 个,去除纯方法论文献)
4. 核心主张提取:对每个理论提炼 1-2 句 core_claim
5. 适用性评估:评估每个理论对当前 gap 的解释力(high/medium/low)
6. 输出结构化理论列表

## Output Format
```json
[
  {
    "name": "Theory Name",
    "source": "Author (Year) or canonical reference",
    "core_claim": "One-sentence summary of what the theory claims",
    "relevance": "Why this theory relates to the gap",
    "applicability": "high | medium | low"
  }
]
```
最少 3 条,最多 8 条(按 applicability 降序排列)。
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