Organize

Community

yunshu0909

organize

帮助用户整理文件夹结构。扫描目录、分类归档、清理冗余，输出整理方案并执行。当用户说"整理文件"、"文件夹好乱"、"归档"、"清理目录"、"/organize"时触发。

Overview

Publisher	yunshu0909
Repository	`yunshu_skillshub`
Skill name	`organize`
Stars	769
Forks	109
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by yunshu0909 on GitHub. Read the source before you install it.

Installation

Install the Organize AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/yunshu0909/yunshu_skillshub/tree/master/agent/organize
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/yunshu0909/yunshu_skillshub.git /tmp/yunshu_skillshub
mkdir -p .claude/skills
cp -r /tmp/yunshu_skillshub/agent/organize .claude/skills/organize

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Organize in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Organize on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Organize is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

文件夹整理助手

功能说明

帮助用户梳理混乱的文件夹，按归属分类、统一命名、清理冗余，让目录结构一目了然。

/organize → 整理当前工作目录
/organize [路径] → 整理指定目录

工作流程

第1步：扫描全貌

ls -la 查看根目录所有文件和文件夹（包括隐藏文件）
对子目录做一层展开，了解内容
记录文件总数、目录总数、散落文件数

关注点：

散落在根目录的文件（没有归入任何子目录的）
命名风格不统一的目录（如有的带前缀有的不带）
隐藏目录/文件（判断是工具产物还是用户文件）
疑似重复的文件（文件名相似的用 md5 比对）

第2步：分析归属

把所有文件和目录按归属方分类。常见的归属维度：

按所有者：客户的 / 内部的 / 个人的
按类型：文档 / 代码 / 设计 / 数据 / 媒体
按状态：活跃的 / 归档的 / 可删除的

分类原则：

优先按归属方分，同一归属方的东西放一起
已经成体系的目录结构不动（如有明确组织的子目录）
工具产生的临时文件/缓存/日志，归为"可清理"类

判断"可清理"的标准：

隐藏目录中只有 .DS_Store 或日志文件
工具运行产生的缓存/临时目录（如 .playwright-mcp、node_modules 等）
评测/调试的中间产物，已无后续使用价值
重复文件中较旧的那份（需 md5 确认后才算重复）

第3步：制定方案

输出整理方案，包含：

目标结构：用树形图展示整理后的目录结构
操作清单：
- 新建哪些目录
- 哪些文件/目录移动到哪里
- 哪些目录/文件重命名
- 哪些可以删除
不动的部分：明确哪些保持不变、为什么

方案格式：


整理后结构：
目标目录/
├── 分类A/
│   ├── ...
├── 分类B/
│   ├── ...
└── 保留不动的/

操作清单：
- [新建] 分类A/
- [移动] xxx → 分类A/xxx
- [重命名] yyy → zzz（统一命名风格）
- [删除] .cache/（工具缓存，无保留价值）
- [不动] 保留不动的/（已有结构，无需调整）

第4步：确认后执行

必须等用户确认后再执行。用户可能：

同意全部 → 直接执行
部分调整 → 按调整后的方案执行
只做清理不做分类 → 只执行删除部分

执行顺序：

先建目录
再移动文件（并行移动无依赖的文件）
再重命名
最后删除
执行完 ls -la 验证结果

第5步：展示结果

输出整理后的目录树，标注变化。

核心原则

1. 按归属分，不按格式分

"客户A的方案.pptx" 应该放在 客户A/ 下面，而不是放在 PPT/ 下面。归属比格式重要。

2. 确认再动，不自作主张

整理方案必须给用户看过、确认后才执行。尤其是删除操作，宁可多问一句。

3. 统一命名风格

同级目录的命名风格要一致：

要么都带前缀，要么都不带
要么都用中文，要么都用英文
日期格式统一

4. 不动已有结构

如果某个子目录内部已经组织得很好，不要拆散重组。整理的目标是根目录清晰，不是追求完美对称。

5. 疑似重复先验证

文件名相似不代表内容相同。必须用 md5 比对确认后才能判定为重复。

6. 隐藏文件谨慎处理

以 . 开头的目录可能是工具配置（如 .claude、.git），不要随意移动或删除。只清理明确是缓存/日志的。

Frequently asked questions

What does the Organize AI skill do?

Why use Organize on TypingMind?

Because you install it once and use it with any model. Organize is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Organize in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yunshu0909/yunshu_skillshub/tree/master/agent/organize. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Organize?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Organize?

As many as you like. As long as a model supports skills, you can use Organize with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Organize AI skill free?

Yes. It is published on GitHub by yunshu0909 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

文件夹整理助手

功能说明

工作流程

第1步：扫描全貌

第2步：分析归属

第3步：制定方案

第4步：确认后执行

第5步：展示结果

核心原则

1. 按归属分，不按格式分

2. 确认再动，不自作主张

3. 统一命名风格

4. 不动已有结构

5. 疑似重复先验证

6. 隐藏文件谨慎处理

Frequently asked questions

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