obsidian-dashboard

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Obsidian Vault Dashboard Generator

Obsidian库仪表盘生成工具

This skill generates comprehensive statistics and visual overview of Obsidian note vaults. It analyzes files, tags, links, folder structure, and creates an interactive HTML dashboard.

此Skill可生成Obsidian笔记库的全面统计信息和可视化概览。它会分析文件、标签、链接、文件夹结构，并创建一个交互式HTML仪表盘。

Purpose

用途

To provide detailed insights into Obsidian vault structure and content through automated analysis and visualization.

通过自动化分析和可视化，让用户深入了解Obsidian库的结构和内容。

When to Use

使用场景

When users want to understand their vault structure
To identify orphaned files, unused attachments, or broken links
To analyze tag usage patterns and note organization
To get file statistics and folder distribution
To visualize vault growth and organization

当用户想要了解自己的库结构时
用于识别孤立文件、未使用的附件或损坏的链接时
分析标签使用模式和笔记组织方式时
获取文件统计数据和文件夹分布情况时
可视化库的增长和组织架构时

How to Use

使用方法

Run the Analysis Script

bash

python3 /Users/cdd/.claude/skills/obsidian-dashboard/scripts/analyze_vault.py <vault_path>

The script will generate:
- ```
vault_stats.json
```
  - Raw statistics data
- ```
dashboard.html
```
  - Interactive HTML dashboard
- ```
vault_report.md
```
  - Markdown summary report
Dashboard Features:
- File count and type distribution
- Folder structure visualization
- Tag usage analysis
- Link analysis (internal/external/broken)
- Recent activity tracking
- Orphaned files detection
- Attachment usage statistics

运行分析脚本

bash

python3 /Users/cdd/.claude/skills/obsidian-dashboard/scripts/analyze_vault.py <vault_path>

脚本将生成以下内容：
- ```
vault_stats.json
```
  - 原始统计数据
- ```
dashboard.html
```
  - 交互式HTML仪表盘
- ```
vault_report.md
```
  - Markdown汇总报告
仪表盘功能：
- 文件数量与类型分布
- 文件夹结构可视化
- 标签使用分析
- 链接分析（内部/外部/损坏）
- 近期活动追踪
- 孤立文件检测
- 附件使用统计

Key Metrics Tracked

追踪的关键指标

File Statistics: Total files, notes, attachments, size distribution
Type Analysis: .md, .pdf, .png, .jpg, .gif, .svg, .mp4, .webm, .mp3, .wav, .m4a
Tag Analysis: Unique tags, tag frequency, nested tag structure
Link Analysis: Internal links, external links, broken links, orphaned files
Folder Structure: Depth, distribution, empty folders
Content Analysis: Empty files, large files, old files
Activity Tracking: Recently modified, created dates

文件统计：总文件数、笔记数、附件数、大小分布
类型分析：.md、.pdf、.png、.jpg、.gif、.svg、.mp4、.webm、.mp3、.wav、.m4a
标签分析：唯一标签、标签频率、嵌套标签结构
链接分析：内部链接、外部链接、损坏链接、孤立文件
文件夹结构：深度、分布情况、空文件夹
内容分析：空文件、大文件、旧文件
活动追踪：最近修改时间、创建日期

Output Files

输出文件

```
dashboard.html
```
: Interactive dashboard with charts and tables
```
vault_stats.json
```
: Raw data for further processing
```
vault_report.md
```
: Markdown summary for vault documentation

```
dashboard.html
```
：包含图表和表格的交互式仪表盘
```
vault_stats.json
```
：用于后续处理的原始数据
```
vault_report.md
```
：用于库文档的Markdown汇总报告