Skip to main content

research-design

Extract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers.

来源信息

仓库
bivex/loreSystem
最近来源活动
2026年3月21日 15:19
检测到的 SKILL.md 语言
英语
星标
0
分支
0

安装方式

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。

检查来源文件

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。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
research-design
description
Extract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers.
# research-design Domain skill for Research Education Specialist. Specific extraction rules and expertise. ## Domain Expertise - **Education systems**: Schools, academies, universities - **Research institutions**: Labs, observatories, research centers - **Knowledge preservation**: Libraries, archives, museums - **Academic structure**: Degrees, specializations, admission - **Funding and support**: Patronage, grants, royal backing ## Entity Types (7 total) - **academy** - Academies - **university** - Universities - **school** - Schools - **library** - Libraries - **research_center** - Research centers - **archive** - Archives - **museum** - Museums ## Processing Guidelines When extracting research and education entities from chapter text: 1. **Identify education/research elements**: - Schools, academies, universities mentioned - Libraries or archives - Museums or research centers - Scholars or researchers - Research projects or discoveries - Educational systems or degrees 2. **Extract education/research details**: - Institution types and focuses - Libraries' collections and sizes - Museum exhibits and themes - Research projects and specializations - Academic programs and degrees 3. **Analyze education/research context**: - Knowledge accessibility (open vs restricted) - Research funding and support - Preservation of ancient knowledge - Educational quality and equality 4. **Create schema-compliant entities** with proper JSON structure ## Key Considerations - **Access inequality**: Some knowledge is restricted to elite - **Funding issues**: Research depends on patronage or government support - **Preservation vs access**: Libraries may restrict ancient or dangerous texts - **Educational hierarchy**: Different levels (primary, academy, university) - **Knowledge loss**: War or disaster can destroy institutions
在 GitHub 查看