SKILL.md

Knowledge Connect — Discover Document Relationships & Build Knowledge Networks

Name: yuque-personal-knowledge-connect
Author: yuque

Help the user discover hidden connections between their documents, find related content, and build a knowledge network with bidirectional links across their personal Yuque knowledge base.

When to Use

User wants to find documents related to a specific topic

User says "有哪些相关文档", "find related docs", "帮我建立知识关联"

User wants to build a knowledge map or graph for a topic

User says "这个主题还有哪些相关的", "帮我串联一下知识", "构建知识图谱"

Required MCP Tools

All tools are from the yuque-mcp server:

yuque_search — Search for related documents by keyword

yuque_get_doc — Read document content to analyze connections

yuque_list_repos — List personal repos to scan

yuque_list_docs — List documents in repos for broader discovery

yuque_update_doc — Add cross-reference links to documents

yuque_create_doc — Create knowledge map documents

Workflow

Step 1: Identify the Starting Point

The user may provide:

A specific document to find connections for

A topic or keyword to explore

A request to map an entire knowledge area

If starting from a document:

Tool: yuque_get_doc

Parameters:

  repo_id: "<namespace>"

  doc_id: "<slug>"

Extract key concepts, terms, and themes from the document.

Step 2: Discover Related Documents

Search for related content using extracted keywords:

Tool: yuque_search

Parameters:

  query: "<keyword 1>"

  type: "doc"

Repeat with different keywords to cast a wider net. Use:

Direct topic keywords

Synonyms and related terms

Key people or project names mentioned

Technical terms and concepts

Also scan repos for broader discovery:

Tool: yuque_list_docs

Parameters:

  namespace: "<repo_namespace>"

Step 3: Read and Analyze Connections

For each potentially related document (top 5-10):

Tool: yuque_get_doc

Parameters:

  repo_id: "<namespace>"

  doc_id: "<slug>"

Analyze the relationship type:

Relationship

Description

Example

🔗 直接相关

Same topic, different angle

两篇都讲微服务架构

🧩 互补

Fills gaps in each other

一篇讲设计，一篇讲实现

📚 前置/后续

Sequential knowledge

入门篇 → 进阶篇

🔀 交叉引用

Shared concepts across topics

都提到了 Redis 缓存策略

⚡ 矛盾/对比

Conflicting viewpoints

两篇对同一问题有不同方案

Step 4: Build the Knowledge Map

Present the discovered connections:

# 🗺️ 知识关联图：[主题/文档标题]

> 基于「[起始文档]」发现的知识网络

> 扫描范围：X 个知识库，XX 篇文档

> 生成时间：YYYY-MM-DD

---

## 🎯 中心节点

**[起始文档标题](链接)**

- 知识库：[库名]

- 核心概念：[概念1]、[概念2]、[概念3]

---

## 🔗 关联文档

### 直接相关

| 文档 | 知识库 | 关联类型 | 关联说明 |

|------|--------|----------|----------|

| [标题](链接) | [库名] | 🔗 直接相关 | [为什么相关] |

| [标题](链接) | [库名] | 🧩 互补 | [互补点说明] |

### 延伸阅读

| 文档 | 知识库 | 关联类型 | 关联说明 |

|------|--------|----------|----------|

| [标题](链接) | [库名] | 📚 前置知识 | [说明] |

| [标题](链接) | [库名] | 🔀 交叉引用 | [共同概念] |

---

## 🧠 知识网络

[中心文档]

├── 🔗 [直接相关文档 1]

│ └── 🔀 [交叉引用文档 A]

├── 🧩 [互补文档 2]

├── 📚 [前置文档 3]

│ └── 📚 [更前置文档 B]

└── ⚡ [对比文档 4]

---

## 💡 发现与建议

- **知识聚类**：[发现的知识聚类模式]

- **知识缺口**：[发现缺少的关联文档或主题]

- **建议行动**：

  1. [建议创建的文档或补充的内容]

  2. [建议建立的新关联]

---

> 本知识图谱由 AI 助手自动生成，关联关系基于内容分析。

Step 5: (Optional) Add Cross-References

If the user agrees, add "相关文档" sections to the connected documents:

Tool: yuque_update_doc

Parameters:

  repo_id: "<namespace>"

  doc_id: "<slug>"

  body: "<original content>\n\n---\n\n## 🔗 相关文档\n\n- [相关文档 1](链接) — [关联说明]\n- [相关文档 2](链接) — [关联说明]\n"

Ask before modifying any existing document:

"要在这些文档中添加相互引用链接吗？"

Step 6: (Optional) Save Knowledge Map

Tool: yuque_create_doc

Parameters:

  repo_id: "<namespace>"

  title: "🗺️ 知识图谱：[主题]"

  body: "<knowledge map content>"

  format: "markdown"

Step 7: Confirm

✅ 知识关联分析完成！

🗺️ **发现 X 篇相关文档，建立了 X 个关联**

### 关联概览

- 🔗 直接相关：X 篇

- 🧩 互补文档：X 篇

- 📚 前置/后续：X 篇

- 🔀 交叉引用：X 篇

💡 建议：[最重要的一条建议]

Guidelines

Start broad, then narrow — search with multiple keywords to find unexpected connections

Quality over quantity — 5 strong connections are better than 20 weak ones

Explain why documents are related, not just that they are

Always ask before modifying existing documents (adding cross-references)

The knowledge map should be actionable — include specific suggestions for strengthening the knowledge network

Identify knowledge gaps — what's missing is as valuable as what's connected

For large knowledge bases, focus on one topic area at a time

Default language is Chinese

Error Handling

Situation

Action

yuque_search returns few results

Broaden keywords; try synonyms and related terms

Starting document has no clear connections

Suggest the document may be on a new topic; offer to search broader

Too many connections found (>15)

Prioritize by relevance strength; group into clusters

yuque_update_doc fails when adding links

Skip that document; note it in the report

User's knowledge base is very small

Acknowledge limited scope; suggest topics to write about to build the network

yuque-personal-knowledge-connect