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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionyuque-personal-knowledge-connectExecute the skills CLI command in your project's root directory to begin installation:
Fetches yuque-personal-knowledge-connect from yuque/yuque-plugin and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate yuque-personal-knowledge-connect. Access via /yuque-personal-knowledge-connect in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
All tools are from the yuque-mcp server:
yuque_search — Search for related documents by keywordyuque_get_doc — Read document content to analyze connectionsyuque_list_repos — List personal repos to scanyuque_list_docs — List documents in repos for broader discoveryyuque_update_doc — Add cross-reference links to documentsyuque_create_doc — Create knowledge map documentsThe user may provide:
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.
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:
Also scan repos for broader discovery:
Tool: yuque_list_docs
Parameters:
namespace: "<repo_namespace>"
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 |
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。
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:
Tool: yuque_create_doc
Parameters:
repo_id: "<namespace>"
title: "🗺️ 知识图谱：[主题]"
body: "<knowledge map content>"
format: "markdown"
✅ 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]
| 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 |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
yuque-personal-knowledge-connect has been reliable in day-to-day use. Documentation quality is above average for community skills.
yuque-personal-knowledge-connect reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: yuque-personal-knowledge-connect is focused, and the summary matches what you get after install.
Registry listing for yuque-personal-knowledge-connect matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: yuque-personal-knowledge-connect is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in yuque-personal-knowledge-connect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for yuque-personal-knowledge-connect matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend yuque-personal-knowledge-connect for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: yuque-personal-knowledge-connect is focused, and the summary matches what you get after install.
yuque-personal-knowledge-connect reduced setup friction for our internal harness; good balance of opinion and flexibility.
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