knowledge-graph
知识文档整理
将研究、讨论、探究的内容整理成系统性、可长期维护的知识文档。
第一步:判断文档类型
根据用户的需求,选择合适的文档模式:
| 模式 | 适用场景 | 参考文件 |
|---|---|---|
| 概述类 | 领域认知、概念梳理、架构性知识;让读者建立结构化认知 | references/overview.md |
| 技术类 | 技术实现、工程细节、代码设计、算法机制;让读者理解"怎么做" | references/technical.md |
| 调研类 | 公司/产品/人物研究报告;收集整理外部信息 | references/research.md |
| 论文类 | 学术论文阅读笔记;提炼核心论点、论证过程、研究贡献与局限 | references/paper.md |
如果不确定,优先判断用户的目标是建立认知(概述类)还是理解实现(技术类)还是收集外部信息(调研类)还是理解一篇论文(论文类)。
读取对应的参考文件,然后按照其中的指引完成文档。
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