笔记自动整理 Agent

Analyze, classify, and organize note collections into categorized folders.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/mutsunn1/classifier --skill agent-mutsunn1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 笔记自动整理 Agent
Source: https://github.com/mutsunn1/classifier/tree/main
Command: npx skills add https://github.com/mutsunn1/classifier --skill agent-mutsunn1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of manually organizing大量笔记内容,通过自动分析笔记内容实现高效分类与归档,节省整理时间。

Core Features & Use Cases

  • 内容分析与分类:自动解析笔记内容,识别学科分类和关键词。
  • 目录结构管理:根据分析结果在目标目录下创建分类文件夹。
  • 文件自动移动:将笔记文件归入相应类别,确保系统整洁有序。
  • 索引文档生成:创建索引README,方便快速浏览所有分类与内容概览。
  • Use Case:用户可轻松整理大量学习笔记,实现跨学科知识的系统管理。

Quick Start

只需提供源笔记目录和目标整理目录,运行此工具即可自动完成内容分析、分类、移动及索引生成。

Frequently Asked Questions about 笔记自动整理 Agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically organize and classify a large collection of notes?

To automatically organize notes, this tool parses content, identifies subject categories and keywords, creates classification folders, and moves files accordingly. It automates the entire process from content analysis to directory structuring.

What is the best way to generate an index for a personal knowledge base?

Generating an index for a personal knowledge base is handled by creating an index README. This tool automatically generates a README after analyzing and moving notes, providing a quick overview of all categories and content for easy browsing.

How does AI content parsing work for note classification?

AI content parsing for note classification works by using natural language processing to analyze text, extract keywords, and determine subject categories. It then maps these categories to a directory structure to systematically sort files.

Do I need natural language processing libraries to categorize notes by subject?

Yes, categorizing notes by subject requires natural language processing libraries and directory handling capabilities. These dependencies enable accurate content analysis, systematization, and automated categorization of files.

Can I use this for cross-disciplinary research note management?

Yes, you can use this for cross-disciplinary research note management. It is designed for educational and research tasks, automatically identifying disciplines and sorting files into appropriate categorized folders.

What do I need to provide to start the note organization process?

To start the note organization process, you only need to provide a source directory containing your notes and a target directory for the organized output. The tool then handles content analysis, file moving, and index generation automatically.