菜单
Identify research gaps via PICOS frameworks, concept matrices, evidence gap maps, keyword extraction, citation analysis, and topic modeling. Systematic discovery of what is missing in the literature.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill deep-insight-gap-identification命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
基于 SOC 职业分类
正在显示 SKILL.md
| name | deep-insight-gap-identification |
| description | Identify research gaps via PICOS frameworks, concept matrices, evidence gap maps, keyword extraction, citation analysis, and topic modeling. Systematic discovery of what is missing in the literature. |
| dependencies | {"tactics":["evidence-mapping"],"sops":["concept-matrix-construction","egm-construction","gap-keyword-extraction"]} |
Discover where gaps exist in the research landscape.
User has a research area and needs to find what's missing — uncharted territory, under-explored intersections, or absent evidence.
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 60 | 54–66 |
| web-research | 10 | 9–11 |
| paper-overview | 80 | 72–88 |
| paper-search | 30 | 27–33 |
| paper-research | 5 | 4–6 |
Print before every iteration:
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 60 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 80 | ? |
| paper-search | ? | 30 | ? |
| paper-research | ? | 5 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: gap-keyword-extraction, concept-matrix-construction, egm-construction
Start with broad web-search + paper-overview to map the landscape. Use gap-keyword-extraction to identify gap-indicating sentences. Build concept-matrix to visualize coverage. Construct EGM for structural view of where evidence is dense vs absent.
Gap Candidate List with evidence pointers — each candidate includes: gap description, evidence source, confidence level, and location in concept matrix.
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| evidence-mapping | Systematic evidence map construction — search, classify, locate gaps, visualize. Combines concept-matrix-construction, gap-keyword-extraction, evidence-grading, and egm-construction SOPs. |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| concept-matrix-construction | Build articles × concepts coverage matrix to visualize research landscape and identify empty cells as gap candidates. |
| egm-construction | Build structured Evidence Gap Maps — define axes (intervention × outcome or method × domain), place gaps in cells, annotate with evidence density and quality. |
| gap-keyword-extraction | Extract gap-indicating sentences and phrases from papers/reviews. Identifies linguistic markers of research gaps (e.g., "remains unclear", "has not been explored", "limited understanding"). |