iziqing
Community indexed
Disk Cleaner
WizTree + AI 智能磁盘清理 Agent skill
Community indexed
WizTree + AI 智能磁盘清理 Agent skill
An AI-powered disk cleaning agent skill that uses WizTree scanning and AI analysis to safely clean disk space.
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⚠️ 免责声明（请先读我）：本技能与文档由 AI（Claude Fable 5）自行编写完成，项目实控人未做人工审查（我也不一定全部看得懂）。请使用者仔细阅读本文档和程序源码，充分理解后再使用，以减少使用风险。
🧹 人机协作磁盘清理工具
利用 WizTree 快速扫描 + AI 智能分析，高效清理磁盘空间。
C 盘爆满，却不敢清理？
大部分电脑使用者都有这样的困扰：
根本原因是：
解决思路：
这就是这个工具的做法：
WizTree 快速扫描（3-5秒）
↓
导出磁盘占用数据
↓
AI 专业分析：哪些占用大、哪些能清理
↓
（为了安全，初级版本暂时）避开系统文件，列出可清理目录
↓
用户确认后，执行清理
现在，普通用户也能安全、简单地自行清理 C 盘了。
安全 · 简单 · 给权限就全自动
| 特点 | 说明 |
|---|---|
| 🔒 安全 | 只清理缓存/临时文件，永不删除系统文件和用户数据 |
| 🛡️ 可回滚 | 清理前自动备份，出问题一键恢复 |
| ✨ 简单 | 一条命令 /clean-c-drive 搞定一切 |
| 🤖 智能 | 给管理员权限 = 扫描/执行全自动（清理方案仍需你确认）；不给权限 = AI 分析 + 人工执行 |
┌─────────────────────────────────────────────────┐
│ 给管理员权限 → AI 全自动：扫描→分析→清理 │
│ 不给权限 → AI 分析 + 人工执行清理脚本 │
└─────────────────────────────────────────────────┘
Agent Skill 是一种 极简巧妙的AI Agent架构设计理念，通过模块化、可复用的"技能"封装来扩展 AI通用模型的能力。本质上，它是将复杂的业务逻辑、操作流程、专业知识打包成标准化的 Markdown 指令和脚本，让用户通过简单命令（如 /clean-c-drive）触发完整的自动化工作流。
Agent Skills 代表了 AI 应用架构从"大而全的通用模型"向"精而专的模块化能力"演进的重要趋势。它通过渐进式披露解决了上下文窗口的限制，通过文件系统标准化实现了知识的可发现与可组合，最终让 AI Agent 从"能做"进化到"擅长做"，从"工具"升级为"专家"。
总体说来，从MCP、claude code cli、Agent Skills到最新发布的claude cowork来看，Anthropic司在最大化销售自家token的水平上，是专业的，是值得关注和学习的。
# Claude 磁盘清理器
[](./CHANGELOG.md)
[](./LICENSE)
> ⚠️ **免责声明（请先读我）**：本技能与文档由 AI（Claude Fable 5）自行编写完成，项目实控人未做人工审查（我也不一定全部看得懂）。请使用者仔细阅读本文档和程序源码，充分理解后再使用，以减少使用风险。
🧹 **人机协作磁盘清理工具**
利用 **WizTree 快速扫描** + **AI 智能分析**，高效清理磁盘空间。
[English Documentation](./docs/README_EN.md) · [更新日志](./CHANGELOG.md)
---
## 为什么做这个？
> **C 盘爆满，却不敢清理？**
大部分电脑使用者都有这样的困扰：
- C 盘用了一两年后越来越满，但**不敢轻易清理**
- 不知道哪些文件能删、哪些不能删，怕删错导致系统崩溃
- 找收费软件清理，或者网上找人帮忙（几十到一两百不等）
**根本原因是：**
1. 我们普通人不是电脑专家，不知道哪些能清理、哪些不能清理
2. 不知道哪些文件占用空间大
**解决思路：**
- 如果能**快速找出占用大的文件**
- 再让**专业的人来判断**能不能清理
- 这个问题就解决了！
**这就是这个工具的做法：**
```
WizTree 快速扫描（3-5秒）
↓
导出磁盘占用数据
↓
AI 专业分析：哪些占用大、哪些能清理
↓
（为了安全，初级版本暂时）避开系统文件，列出可清理目录
↓
用户确认后，执行清理
```
**现在，普通用户也能安全、简单地自行清理 C 盘了。**
---
## 核心理念
> **安全 · 简单 · 给权限就全自动**
| 特点 | 说明 |
|------|------|
| 🔒 **安全** | 只清理缓存/临时文件，永不删除系统文件和用户数据 |
| 🛡️ **可回滚** | 清理前自动备份，出问题一键恢复 |
| ✨ **简单** | 一条命令 `/clean-c-drive` 搞定一切 |
| 🤖 **智能** | 给管理员权限 = 扫描/执行全自动（清理方案仍需你确认）；不给权限 = AI 分析 + 人工执行 |
```
┌─────────────────────────────────────────────────┐
│ 给管理员权限 → AI 全自动：扫描→分析→清理 │
│ 不给权限 → AI 分析 + 人工执行清理脚本 │
└─────────────────────────────────────────────────┘
```
---
## 关于 Agent Skills
### 什么是 Agent Skills？
**Agent Skill** 是一种 极简巧妙的AI Agent架构设计理念，通过模块化、可复用的"技能"封装来扩展 AI通用模型的能力。本质上，它是将复杂的业务逻辑、操作流程、专业知识打包成标准化的 Markdown 指令和脚本，让用户通过简单命令（如 `/clean-c-drive`）触发完整的自动化工作流。
Agent Skills 代表了 AI 应用架构从"大而全的通用模型"向"精而专的模块化能力"演进的重要趋势。它通过渐进式披露解决了上下文窗口的限制，通过文件系统标准化实现了知识的可发现与可组合，最终让 AI Agent 从"能做"进化到"擅长做"，从"工具"升级为"专家"。
总体说来，从MCP、claude code cli、Agent Skills到最新发布的claude cowork来看，Anthropic司在最大化销售自家token的水平上，是专业的，是值得关注和学习的。
### 核心设计理念
#### 1. **渐进式信息加载**
- 启动时仅加载技能元数据（几百 tokens）
- 匹配任务时才加载完整指令（几千 tokens）
- 执行时按需加载脚本和资源
- 结果：相比传统方案，**上下文消耗降低 95%+**，大幅降低成本
#### 2. **模块化与可组合**
- 每个 Skill 是独立的目录结构（SKILL.md + 脚本 + 资源）
- 技能之间互不干扰，可独立验证
- 支持多个技能组合解决复Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
63/100
Promising
Trust
62/100
Sandbox only
Audit
75/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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