Openakita/Skills@Obsidian Skills logo

Openakita/Skills@Obsidian Skills

CommunityPopular
openakita
openakita/skills@obsidian-skills

Manage Obsidian vaults with full support for Obsidian Flavored Markdown — wikilinks, embeds, callouts, YAML properties, Dataview queries, Canvas, and Bases. Organize notes using MOCs (Maps of Content), atomic note principles, and consistent folder/tag taxonomies. Always ask the user where to save before creating notes.

Overview

Publisheropenakita
Repositoryopenakita
Skill nameopenakita/skills@obsidian-skills
Stars
2K
Forks
277
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openakita on GitHub. Read the source before you install it.

Installation

Install the Openakita/Skills@Obsidian Skills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/openakita/openakita.git /tmp/openakita
mkdir -p .claude/skills
cp -r /tmp/openakita/skills/obsidian-skills .claude/skills/openakita-openakita-skills-obsidian-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openakita/Skills@Obsidian Skills 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 Openakita/Skills@Obsidian Skills 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 Openakita/Skills@Obsidian Skills 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.

Obsidian 笔记管理技能

帮助用户在 Obsidian 知识库中创建、组织和管理笔记,遵循 Obsidian Flavored Markdown(OFM)规范和知识管理最佳实践。


核心原则

  1. 创建笔记前必须询问保存位置 — 永远不要自行假设路径,先确认用户的 Vault 结构和目标文件夹。
  2. 遵循 Obsidian Flavored Markdown — 使用 wikilinks、嵌入、callouts 等 OFM 专有语法。
  3. 原子笔记 — 每条笔记聚焦一个概念,通过链接建立知识网络。
  4. 元数据驱动 — 使用 YAML frontmatter properties 保证笔记可被检索和查询。

Obsidian Flavored Markdown 语法参考

Wikilinks(内部链接)

Obsidian 使用 [[]] 语法进行内部链接,这是与标准 Markdown 最重要的区别。

markdown
[[笔记名称]]                    # 链接到同名笔记
[[笔记名称|显示文本]]            # 自定义显示文本
[[笔记名称#标题]]               # 链接到特定标题
[[笔记名称#^block-id]]          # 链接到特定块
[[笔记名称#标题|显示文本]]       # 标题链接 + 自定义文本

最佳实践:

  • 笔记名称应具有描述性且唯一,避免使用特殊字符 [ ] # ^ | \
  • 优先使用笔记全名链接而非路径链接,Obsidian 会自动解析
  • 使用别名(alias)而不是 |显示文本 来处理频繁使用的缩写

嵌入(Embeds)

使用 ![[]] 语法将其他笔记或资源直接嵌入当前笔记。

markdown
![[笔记名称]]                   # 嵌入整篇笔记
![[笔记名称#标题]]              # 嵌入特定章节
![[笔记名称#^block-id]]         # 嵌入特定块
![[图片.png]]                   # 嵌入图片
![[图片.png|300]]               # 指定宽度
![[音频.mp3]]                   # 嵌入音频
![[视频.mp4]]                   # 嵌入视频
![[文档.pdf]]                   # 嵌入 PDF
![[文档.pdf#page=3]]            # 嵌入 PDF 特定页

Callouts(提示框)

基于 Markdown blockquote 语法扩展,用于高亮重要信息。

markdown
> [!note] 标题
> 笔记内容

> [!tip] 提示
> 有用的建议

> [!warning] 警告
> 需要注意的事项

> [!important] 重要
> 关键信息

> [!info] 信息
> 补充说明

> [!question] 问题
> 需要进一步探讨的问题

> [!example] 示例
> 具体的例子

> [!abstract] 摘要
> 概述或总结

> [!todo] 待办
> 需要完成的任务

> [!quote] 引用
> 引用来源文字

折叠 Callout:

markdown
> [!tip]- 点击展开       # 默认折叠
> 隐藏内容

> [!tip]+ 点击折叠       # 默认展开
> 可折叠内容

嵌套 Callout:

markdown
> [!note] 外层
> 外层内容
>> [!tip] 内层
>> 内层内容

标签(Tags)

markdown
#标签名                         # 行内标签
#父标签/子标签                   # 嵌套标签

在 frontmatter 中声明标签:

yaml
tags:
  - 项目管理
  - 知识管理/PKM

注释

markdown
%%这是 Obsidian 注释,不会在预览模式中显示%%

%%
多行注释
也是可以的
%%

数学公式

markdown
行内公式:$E = mc^2$

块级公式:
$$
\int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}
$$

Mermaid 图表

markdown
```mermaid
graph TD
    A[开始] --> B{判断}
    B -->|是| C[执行]
    B -->|否| D[结束]
```

YAML Frontmatter Properties

每条笔记应以 YAML frontmatter 开头,定义结构化元数据。

标准属性

yaml
---
title: 笔记标题
aliases:
  - 别名1
  - 别名2
tags:
  - 标签1
  - 父标签/子标签
date: 2026-03-01
created: 2026-03-01T10:30:00
modified: 2026-03-01T14:20:00
author: 作者名
status: draft | in-progress | reviewed | published
type: note | moc | reference | project | daily
cssclasses:
  - custom-class
publish: true
---

自定义属性(面向 Dataview)

根据笔记类型添加自定义字段,供 Dataview 查询使用:

yaml
---
# 读书笔记
book_title: "深度工作"
book_author: "Cal Newport"
rating: 4
started: 2026-01-15
finished: 2026-02-20
category: 生产力
---
yaml
---
# 项目笔记
project: OpenAkita
priority: high
deadline: 2026-06-30
stakeholders:
  - Alice
  - Bob
---
yaml
---
# 会议笔记
meeting_type: standup | review | planning
participants:
  - 张三
  - 李四
decisions:
  - 决策内容
action_items:
  - "[ ] 待办事项"
---

属性类型

Obsidian 支持以下 property 类型:

  • Text: 普通文本
  • List: 数组值
  • Number: 数值
  • Checkbox: true/false
  • Date: YYYY-MM-DD
  • Date & time: YYYY-MM-DDTHH:mm:ss
  • Aliases: 别名列表(内置)
  • Tags: 标签列表(内置)

文件夹结构与命名规范

推荐的 Vault 结构

MyVault/
├── 00 - Inbox/              # 快速捕获,待整理
├── 01 - Projects/           # 活跃项目
│   ├── ProjectA/
│   └── ProjectB/
├── 02 - Areas/              # 持续关注的领域
│   ├── 健康/
│   ├── 财务/
│   └── 职业发展/
├── 03 - Resources/          # 参考资料
│   ├── 读书笔记/
│   ├── 文章剪藏/
│   └── 课程笔记/
├── 04 - Archive/            # 已完成/不活跃
├── 05 - Templates/          # 模板
├── 06 - Daily Notes/        # 日记
├── 07 - MOCs/               # Maps of Content
├── Attachments/             # 附件(图片、PDF 等)
└── Canvas/                  # Canvas 文件

文件命名规范

类型命名格式示例
普通笔记描述性名称原子笔记方法论.md
日记YYYY-MM-DD2026-03-01.md
会议笔记YYYY-MM-DD 会议主题2026-03-01 产品评审会.md
MOCMOC - 主题MOC - 知识管理.md
模板Template - 类型Template - 读书笔记.md
项目主页项目名 - HomeOpenAkita - Home.md

命名原则:

  • 避免特殊字符:/ \ : * ? " < > |
  • 使用空格而非下划线(Obsidian 对空格友好)
  • 名称应具有自描述性,无需借助文件夹路径理解含义

MOC(Maps of Content)

MOC 是连接相关笔记的导航枢纽,起到"目录"和"思维地图"的作用。

MOC 模板

markdown
---
title: MOC - 知识管理
type: moc
tags:
  - MOC
  - 知识管理
date: 2026-03-01
---

# 知识管理

> [!abstract] 概述
> 关于个人知识管理(PKM)的核心概念、方法论和工具。

## 核心概念

- [[卡片盒笔记法]]
- [[原子笔记]]
- [[渐进式总结]]
- [[常青笔记]]

## 方法论

- [[PARA 方法]]
- [[Zettelkasten 方法]]
- [[Building a Second Brain]]
- [[CODE 方法]]

## 工具与实践

- [[Obsidian 使用技巧]]
- [[Dataview 查询食谱]]
- [[模板系统设计]]

## 相关 MOC

- [[MOC - 生产力]]
- [[MOC - 学习方法]]
- [[MOC - 写作]]

MOC 最佳实践

  1. 层级结构 — MOC 可以嵌套,顶层 MOC 链接子主题 MOC
  2. 动态更新 — 新建笔记后检查是否需要加入相关 MOC
  3. 分类灵活 — 同一笔记可出现在多个 MOC 中
  4. 简要注释 — 每个链接可附加一行说明,解释与当前主题的关系

Dataview 兼容性

确保笔记的 frontmatter 属性与 Dataview 查询兼容。

常用 Dataview 查询模式

表格查询:

markdown
```dataview
TABLE rating, book_author, finished
FROM "03 - Resources/读书笔记"
WHERE rating >= 4
SORT finished DESC
```

列表查询:

markdown
```dataview
LIST
FROM #项目管理 AND -"04 - Archive"
WHERE status = "in-progress"
SORT priority ASC
```

任务查询:

markdown
```dataview
TASK
FROM "01 - Projects"
WHERE !completed
GROUP BY file.link
```

行内查询:

markdown
今天是 `= date(today)`,本库共有 `= length(file.lists)` 条列表项。

Dataview 友好的属性设计

  • 使用英文属性名(中文属性名在某些查询中可能出问题)
  • 日期使用 YYYY-MM-DD 格式
  • 布尔值使用 true/false
  • 列表属性使用 YAML 数组语法

Canvas 支持

Obsidian Canvas 是可视化组织笔记关系的画布工具。

Canvas 文件格式

Canvas 文件为 .canvas 后缀的 JSON 文件,包含节点(nodes)和边(edges)。

json
{
  "nodes": [
    {
      "id": "node1",
      "type": "text",
      "text": "核心概念",
      "x": 0, "y": 0,
      "width": 250, "height": 60
    },
    {
      "id": "node2",
      "type": "file",
      "file": "03 - Resources/原子笔记.md",
      "x": 300, "y": 0,
      "width": 250, "height": 60
    }
  ],
  "edges": [
    {
      "id": "edge1",
      "fromNode": "node1",
      "toNode": "node2",
      "label": "包含"
    }
  ]
}

Canvas 节点类型

类型说明关键属性
text纯文本卡片text
file链接到 Vault 中的文件file
link嵌入网页url
group分组容器label

创建 Canvas 时的注意事项

  • 节点坐标以画布中心为原点
  • 建议节点宽度 200–400px
  • 使用 group 节点对相关卡片分组
  • 边可以包含 label 描述关系

Bases 支持

Obsidian Bases 是 Obsidian 1.8+ 引入的内置数据库视图功能。

Bases 概述

  • Bases 文件以 .base 为后缀,存储在 Vault 中
  • 自动从笔记的 frontmatter properties 提取结构化数据
  • 支持表格视图、筛选、排序、分组
  • 无需 Dataview 插件即可实现结构化查询

创建 Bases 时的建议

  1. 统一属性 — 同一类型的笔记使用相同的 frontmatter 属性集
  2. 属性类型 — 在 Obsidian 设置中预定义属性类型,确保数据一致性
  3. 筛选条件 — 使用文件夹或标签限定数据来源
  4. 视图配置 — 选择合适的列、排序和分组方式

笔记模板

日记模板

markdown
---
title: "{{date:YYYY-MM-DD}}"
type: daily
date: {{date:YYYY-MM-DD}}
tags:
  - daily
---

# {{date:YYYY-MM-DD dddd}}

## 今日计划
- [ ] 

## 笔记与想法


## 今日回顾

### 完成了什么


### 明天的重点

读书笔记模板

markdown
---
title: "{{title}}"
type: reference
book_title: ""
book_author: ""
category: ""
rating: 
started: {{date:YYYY-MM-DD}}
finished: 
status: in-progress
tags:
  - 读书笔记
---

# {{title}}

> [!info] 书籍信息
> - **作者**: 
> - **出版年份**: 
> - **ISBN**: 

## 核心观点


## 章节笔记

### 第一章


## 关键引用

> 

## 我的思考


## 行动项
- [ ] 

## 相关笔记
- [[]]

项目笔记模板

markdown
---
title: "{{title}}"
type: project
project: ""
status: active
priority: medium
deadline: 
stakeholders: []
tags:
  - 项目
---

# {{title}}

> [!abstract] 项目概述
> 

## 目标


## 里程碑

| 里程碑 | 截止日期 | 状态 |
|--------|---------|------|
|  |  | 🔴 |

## 任务
- [ ] 

## 会议记录
- [[]]

## 参考资料
- [[]]

## 复盘笔记

工作流程

创建笔记的标准流程

  1. 询问保存位置 — 始终先确认用户期望的文件夹路径
  2. 选择或创建模板 — 根据笔记类型使用对应模板
  3. 填写 frontmatter — 确保所有必需属性完整
  4. 编写内容 — 使用 OFM 语法
  5. 建立链接 — 添加 wikilinks 连接相关笔记
  6. 更新 MOC — 如有对应 MOC,将新笔记加入其中

整理 Inbox 的流程

  1. 浏览 00 - Inbox/ 中的笔记
  2. 为每条笔记添加或完善 frontmatter
  3. 移动到合适的文件夹
  4. 建立与现有笔记的链接
  5. 更新相关 MOC

重构知识库

  1. 识别孤立笔记(无入链和出链)
  2. 合并重复概念
  3. 拆分过长的笔记为原子笔记
  4. 更新失效链接
  5. 归档不活跃内容到 04 - Archive/

注意事项

  • 不要自行决定保存路径 — 永远先问用户
  • 保持笔记原子性 — 一条笔记一个核心概念
  • 优先使用 wikilinks — 而非标准 Markdown 链接
  • YAML frontmatter 必须是文件第一行 — 前面不能有空行
  • 属性名使用英文 — 确保 Dataview 和 Bases 兼容
  • 图片等附件放在专用文件夹 — 如 Attachments/
  • 定期维护链接 — 重命名笔记后检查链接是否自动更新
  • 备份 Vault — 建议使用 Git 或 Obsidian Sync

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Openakita/Skills@Obsidian Skills AI skill do?

Manage Obsidian vaults with full support for Obsidian Flavored Markdown — wikilinks, embeds, callouts, YAML properties, Dataview queries, Canvas, and Bases. Organize notes using MOCs (Maps of Content), atomic note principles, and consistent folder/tag taxonomies. Always ask the user where to save before creating notes.

Why use Openakita/Skills@Obsidian Skills on TypingMind?

Because you install it once and use it with any model. Openakita/Skills@Obsidian Skills 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 Openakita/Skills@Obsidian Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openakita/openakita/tree/main/skills/obsidian-skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Openakita/Skills@Obsidian Skills?

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 Openakita/Skills@Obsidian Skills?

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

Is the Openakita/Skills@Obsidian Skills AI skill free?

Yes. It is published on GitHub by openakita 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇