yuque-personal-smart-search

name	yuque-personal-smart-search
description	Search your personal Yuque knowledge bases with natural language queries and provide summarized answers with key points and source links. For personal/individual use — searches across your own documents.
license	Apache-2.0
compatibility	Requires yuque-mcp server connected to a Yuque account with personal Token
metadata	{"author":"chen201724","version":"2.0"}

Smart Search — Yuque Personal Knowledge Base Search & Q&A

Search across your personal Yuque knowledge bases using natural language, read relevant documents, and synthesize a clear answer with references.

When to Use

• User asks a question that might be answered by their personal Yuque docs
• User wants to find specific information in their own knowledge base
• User says "搜一下我的文档", "search my Yuque", "我的知识库里有没有..."

Required MCP Tools

All tools are from the yuque-mcp server:

• yuque_search — Search documents by keyword
• yuque_get_doc — Read full document content by slug/id

Workflow

Step 1: Extract Search Keywords

From the user's natural language query, extract 1-3 concise Chinese keywords. Yuque search works best with short, specific terms.

Examples:

• "我的部署流程文档在哪？" → keywords: 部署流程
• "How do I handle error logging?" → keywords: 错误日志 or 日志处理
• "我之前写的技术评审笔记" → keywords: 技术评审

Step 2: Search Documents

Call yuque_search with the extracted keywords:

Tool: yuque_search
Parameters:
  query: "<keywords>"
  type: "doc"

If the search returns no results:

1. Try alternative keywords (synonyms, broader terms)
2. Try splitting compound terms (e.g., "部署流程" → "部署" or "流程")
3. If still no results, tell the user honestly: "在你的语雀知识库中未找到相关文档，建议尝试其他关键词或确认文档是否存在。"

Step 3: Filter and Rank Results

From the search results, select the top 3-5 most relevant documents based on:

• Title relevance to the query
• Document update time (prefer recent)
• Repository context (focus on user's personal repos)

Step 4: Read Document Content

For each selected document, fetch the full content:

Tool: yuque_get_doc
Parameters:
  repo_id: "<namespace>"    # e.g., "username/my-notes" (from search result's book.namespace)
  doc_id: "<slug>"          # e.g., "api" (from search result's target.slug)

Note: The search result contains nested data. Extract these key fields:

• target.slug → use as doc_id
• target.book.namespace → use as repo_id
• target.title → document title
• target.updated_at → last update time

Read up to 3 documents. If the first document fully answers the question, you may skip the rest.

Step 5: Synthesize and Respond

Compose the answer in the following format:

## 回答

[直接回答用户的问题，2-4 句话，简洁明了]

## 关键要点

- **要点 1**：[从文档中提取的关键信息]
- **要点 2**：[从文档中提取的关键信息]
- **要点 3**：[从文档中提取的关键信息]

## 参考文档

1. [文档标题](文档链接) — 来自「知识库名称」，更新于 YYYY-MM-DD
2. [文档标题](文档链接) — 来自「知识库名称」，更新于 YYYY-MM-DD

Guidelines

• Always answer in the same language the user used (Chinese or English)
• Quote specific content from documents when relevant — use > blockquotes
• If documents contain conflicting information, note the discrepancy and mention which doc is more recent
• If the answer is only partially found, say what you found and what's missing
• Never fabricate information not present in the documents
• Include document links so the user can read the full source
• This skill searches the user's personal knowledge bases — for team knowledge bases, use the smart-search skill in the yuque-group plugin

Error Handling

Situation	Action
yuque_search returns empty	Try alternative keywords, then inform user
yuque_get_doc fails (404)	Skip this doc, note it may have been deleted
yuque_get_doc fails (403)	Tell user they may lack permission to access this doc
API timeout	Retry once, then inform user of connectivity issue
Too many results	Focus on top 3 by relevance, mention there are more results available