yuque-personal-note-refine（语雀个人笔记精炼）

Note Refine — Restructure & Polish Your Notes

Help the user transform scattered, rough notes into well-structured, deduplicated, and enriched documents. Turn chaos into clarity.

When to Use

• User wants to clean up messy notes
• User says "帮我整理笔记", "refine my notes", "把这些笔记理一下"
• User has accumulated daily captures and wants to consolidate them
• User says "这些笔记太乱了", "帮我重新组织一下", "去重整理"

Required MCP Tools

All tools are from the yuque-mcp server:

• yuque_search — Find the target notes to refine
• yuque_get_doc — Read the full content of notes
• yuque_list_repos — List personal repos
• yuque_list_docs — List documents in a repo
• yuque_create_doc — Create the refined document
• yuque_update_doc — Update the original document in place

Workflow

Step 1: Identify the Source Notes

The user may provide:

• A specific document to refine
• A date range of daily captures to consolidate
• A topic keyword to find related scattered notes
• Multiple document references to merge

If the user says "整理我最近的笔记":

Tool: yuque_search
Parameters:
  query: "每日捕获"
  type: "doc"

Or for topic-specific notes:

Tool: yuque_search
Parameters:
  query: "<topic keyword>"
  type: "doc"

Step 2: Read All Source Notes

For each identified document:

Tool: yuque_get_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"

Read up to 5-10 source documents. If there are more, prioritize by recency and relevance.

Step 3: Analyze and Plan

Before refining, analyze the raw content:

1. Identify themes — Group related content by topic
2. Find duplicates — Flag repeated ideas or information
3. Spot gaps — Note where information is incomplete
4. Assess structure — Determine the best organizational approach

Present the analysis to the user:

## 📋 笔记分析

**来源**：X 篇文档，共约 XXXX 字

### 主题分布
- **[主题 1]**：X 条相关记录
- **[主题 2]**：X 条相关记录
- **[主题 3]**：X 条相关记录

### 发现
- 🔄 发现 X 处重复内容
- 🕳️ 发现 X 处信息缺口
- 📊 建议整理为 X 篇主题文档

要按这个方向整理吗？

Step 4: Refine the Notes

Based on user confirmation, perform the refinement:

4a. Single Document Refinement

Restructure one document:

• Add clear headings and hierarchy
• Remove duplicate content
• Improve wording and clarity
• Add missing context or transitions
• Organize chronological notes into logical structure

4b. Multi-Document Consolidation

Merge multiple notes into themed documents:

• Group by topic
• Deduplicate across documents
• Create a coherent narrative
• Preserve attribution (note original dates/sources)

Refined document template:

# [主题标题]

> 整理自 X 篇笔记，时间跨度：YYYY-MM-DD 至 YYYY-MM-DD
> 最后整理：YYYY-MM-DD

---

## 概述

[对这个主题的整体概述，2-3 句话]

---

## [分类 1]

### [子主题 1.1]

[整理后的内容]

### [子主题 1.2]

[整理后的内容]

---

## [分类 2]

### [子主题 2.1]

[整理后的内容]

---

## 待补充

- [ ] [识别出的信息缺口 1]
- [ ] [识别出的信息缺口 2]

---

## 原始来源

- [原文档 1 标题](链接) — YYYY-MM-DD
- [原文档 2 标题](链接) — YYYY-MM-DD

---

> 本文档由 AI 助手整理，原始笔记已保留。

Step 5: Save the Refined Document

Ask the user's preference:

• Create new — Save as a new document (recommended for multi-doc consolidation)
• Update in place — Replace the original document (for single doc refinement)

For new document:

Tool: yuque_create_doc
Parameters:
  repo_id: "<namespace>"
  title: "[主题标题]"
  body: "<refined content>"
  format: "markdown"

For in-place update:

Tool: yuque_update_doc
Parameters:
  repo_id: "<namespace>"
  doc_id: "<slug>"
  body: "<refined content>"

Step 6: Confirm

✅ 笔记整理完成！

📄 **[[主题标题]](文档链接)**
📚 已保存到：「知识库名称」

### 整理成果
- 📥 输入：X 篇原始笔记，约 XXXX 字
- 📤 输出：1 篇结构化文档，约 XXXX 字
- 🔄 去除重复：X 处
- 🕳️ 标记待补充：X 处

💡 原始笔记已保留，可随时对照。

Guidelines

• Always preserve the original notes — refine into a new document by default
• Don't discard information during deduplication; merge and enrich instead
• Maintain the user's voice and terminology — don't over-formalize casual notes
• Flag uncertain interpretations with "【待确认】" markers
• For daily captures, suggest a weekly or bi-weekly refinement cadence
• If notes span multiple topics, create separate refined documents per topic
• Add a "待补充" section for identified gaps — this helps the user know what to add later
• Default language is Chinese

Error Handling