Obsidian如何集成Qwen Code AI技能?2026年本地笔记自动化指南
Obsidian CEO kepano recently released three specialized AI skills for Obsidian that integrate with local AI tools like Qwen Code to automate tasks like canvas generation, database filtering, and Markdown formatting, significantly boosting productivity for technical users.
原文翻译: Obsidian CEO kepano 最近发布了三个专为 Obsidian 设计的 AI 技能,可与 Qwen Code 等本地 AI 工具集成,自动执行画布生成、数据库过滤和 Markdown 格式化等任务,显著提升技术用户的生产力。
引言
Obsidian 的 CEO kepano 近期在网络上发布了一系列他专门为 Obsidian 笔记软件开发的 “Skills”。作为一款以本地文件管理为核心的笔记工具,当它与能够直接读取本地文件的 AI 工具相结合时,其效率和创造力便得到了质的飞跃。
Obsidian's CEO, kepano, recently published a series of "Skills" he specifically developed for the Obsidian note-taking software. As a note-taking tool centered around local file management, when combined with AI tools capable of directly reading local files, its efficiency and creative potential are significantly enhanced.

这些 Skills 发布仅数日,在 GitHub 上获得的 Star 数量便迅速突破了 4k。本次更新主要包含三个与 Obsidian 深度集成的技能:
These Skills garnered over 4k stars on GitHub within just a few days of release. This update primarily includes three skills deeply integrated with Obsidian:
- json-canvas:生成 Canvas 无限画布。你可以根据指定主题,让 AI 自动生成结构化的可视化白板。
json-canvas: Generates Canvas infinite whiteboards. You can have the AI automatically generate structured visual whiteboards based on a specified topic.
- obsidian-bases:生成
.Base文件的过滤器和查询公式。这对于不熟悉 Obsidian 数据库(Dataview)功能的用户来说是一大福音。obsidian-bases: Generates filters and query formulas for
.Basefiles. This is a boon for users unfamiliar with Obsidian's database (Dataview) functionality.
- obsidian-markdown:撰写符合 Obsidian 风格的 Markdown 文本(包括内部链接、属性等)。用户无需深入研究 Obsidian 的特定语法,可以完全专注于内容创作本身。
obsidian-markdown: Writes Markdown text in the Obsidian style (including internal links, properties, etc.). Users can focus entirely on content creation without needing to delve into Obsidian's specific syntax.
实践演示:用 AI 生成知识白板
我们以 json-canvas 技能为例,来检验一下 CEO 亲自编写的 Skills 实际效果如何。我指示 Qwen Code 研究当前的前沿 AI 新闻,并据此生成一个白板文件。
Let's take the
json-canvasskill as an example to examine the practical effect of these CEO-authored Skills. I instructed Qwen Code to research current cutting-edge AI news and generate a whiteboard file based on it.

经过一番简单的操作,最终生成的可视化白板效果相当不错:
After a simple process, the final generated visual whiteboard looks quite impressive:

这项功能对于依赖视觉学习的人群(如我本人)而言堪称刚需。AI 可以直接根据读书笔记或研究材料,自动生成结构清晰的可视化图谱。这本质上是在帮助用户实践“卡片笔记写作法”,将每个核心概念转化为相互连接的视觉“卡片”。当然,你可以探索这些 Skills 的更多应用场景,以满足个性化的需求。
This functionality is a game-changer for those who rely on visual learning (like myself). The AI can automatically generate clear visual maps based on reading notes or research materials. This essentially helps users practice the "Zettelkasten" method, transforming each core concept into interconnected visual "cards." Of course, you can explore more application scenarios of these Skills to meet personalized needs.
为什么选择 Qwen Code?
或许有人会问,为何选择 Qwen Code 而非类似的 Claude Code?主要基于以下三点考量:
Some may wonder why choose Qwen Code over similar tools like Claude Code? The decision is primarily based on the following three considerations:
- 开源与免费:Qwen Code 是一款开源免费工具,可以被视为 Claude Code 的一个高性价比替代品,后者费用较高。
Open Source and Free: Qwen Code is an open-source and free tool, which can be seen as a cost-effective alternative to the relatively expensive Claude Code.
- 卓越的中文支持:Qwen Code 对中文的输入输出支持非常友好,这极大地减少了中文用户在对话过程中的认知负担。
Excellent Chinese Support: Qwen Code offers very friendly support for Chinese input and output, significantly reducing the cognitive load for Chinese-speaking users during conversations.
- 便捷的认证与强大的模型:Qwen 系列模型在国内实力出众,且只需简单的
/auth命令即可完成认证,流程简便,省时省力。Convenient Authentication & Powerful Model: The Qwen series of models are among the strongest in the region, and authentication is completed with a simple
/authcommand, making the process straightforward and saving time and effort.
如果你已经安装了 Qwen Code,使用这些 Skills 非常简单:只需将下载的对应 Skills 文件放入 .qwen/skills 目录下即可。
If you already have Qwen Code installed, using these Skills is straightforward: simply place the downloaded Skill files into the
.qwen/skillsdirectory.
快速上手指南
安装与启动
- 安装 Qwen Code:确保已安装 Node.js,然后在终端中运行以下命令:
npm install -g @qwen-code/qwen-code@latestInstall Qwen Code: Ensure Node.js is installed, then run the following command in your terminal:
npm install -g @qwen-code/qwen-code@latest
- 启动程序:安装完成后,使用以下命令启动 Qwen Code 并启用实验性 Skills 功能:
qwen --experimental-skillsLaunch the Program: After installation, start Qwen Code and enable the experimental Skills feature with:
qwen --experimental-skills
- 开始对话:启动后,即可直接与 Qwen Code 开始对话。当你的指令涉及相关功能时,它将自动调用已配置的 Skills。
Start Conversing: Once launched, you can start a conversation with Qwen Code directly. It will automatically invoke the configured Skills when your instructions relate to their functionalities.
本文内容完全由作者撰写,无任何 AI 辅助创作,内容仅代表创作者个人观点。
This content was entirely written by the author, without any AI-assisted creation, and represents solely the personal views of the creator.
常见问题(FAQ)
kepano为Obsidian发布的AI技能具体能做什么?
包含三个核心技能:json-canvas自动生成结构化知识白板,obsidian-bases创建数据库过滤查询,obsidian-markdown撰写符合Obsidian风格的Markdown文本,显著提升技术用户生产力。
为什么推荐使用Qwen Code来配合这些AI技能?
Qwen Code开源免费、对中文支持友好能减少认知负担,且认证简便只需/auth命令,其模型在国内实力出众,是Claude Code的高性价比替代品。
如何开始使用这些Obsidian AI技能?
安装Qwen Code后即可使用,操作简单。文章提供了快速上手指南和安装启动步骤,用户可立即体验自动生成画布、过滤数据库和格式化文档等功能。
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