为你的经纪人准备第二个大脑。

一个Claude Code插件，能从对话中生成完整的知识系统。 你描述了你的思维和工作方式。引擎衍生出认知架构 ——文件夹结构、上下文文件、处理流程、钩子、导航地图， 以及笔记模板——针对你的领域量身定制，并有249条研究论点支持。

没有模板。没有配置。只有对话。

v0.8.0 ·Claude Code 插件 ·MIT

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安装

1. 将市场添加到Claude代码中：

2. 安装插件：

3. 重启 Claude 代码，然后运行：

4. 回答2-4个关于你域名的问题（~20分钟——代币密集但一次性）

5. 引擎生成你完整的知识系统

6. 再次重启Claude代码以激活生成的钩子和技能

7. 运行/arscontexta:help查看所有可用内容

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它的作用

大多数 AI 工具每次会话都从空白开始。Ars Contexta 通过生成来改变这一点 一个源自你实际工作方式的持续思维系统。

你会得到什么：

• 一个保险库——通过维基链接连接的普通标记文件，形成可遍历的页面 知识图谱。没有数据库，没有云端，没有锁定。

Ars Contexta

A second brain for your agent.

A Claude Code plugin that generates complete knowledge systems from conversation. You describe how you think and work. The engine derives a cognitive architecture – folder structure, context files, processing pipeline, hooks, navigation maps, and note templates – tailored to your domain and backed by 249 research claims.

No templates. No configuration. Just conversation.

v0.8.0 · Claude Code plugin · MIT

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Installation

1. Add the marketplace to Claude Code:

   /plugin marketplace add agenticnotetaking/arscontexta
   

2. Install the plugin:

   /plugin install arscontexta@agenticnotetaking
   

3. Restart Claude Code, then run:

   /arscontexta:setup
   

4. Answer 2-4 questions about your domain (~20 minutes – token-intensive but one-time)

5. The engine generates your complete knowledge system

6. Restart Claude Code again to activate generated hooks and skills

7. Run /arscontexta:help to see everything available

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What It Does

Most AI tools start every session blank. Ars Contexta changes that by generating a persistent thinking system derived from how you actually work.

What you get:

• A vault – plain markdown files connected by wiki links, forming a traversable knowledge graph. No database, no cloud, no lock-in.
• A processing pipeline – skills that extract insights, find connections, update old notes with new context, and verify quality.
• Automation – hooks that enforce structure on every write, detect maintenance needs, capture session state, and auto-commit.
• Navigation – Maps of Content (MOCs) at hub, domain, and topic levels.
• Templates – note templates with _schema blocks as single source of truth.
• A user manual – 7 pages of domain-native documentation generated alongside.

The key differentiator: derivation, not templating. Every choice traces to specific research claims. The engine reasons from principles about what your domain needs and why.

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The Setup Flow

/arscontexta:setup runs a 6-phase process:

The whole process takes about 20 minutes. It’s token-intensive because the engine reads research claims, reasons about your domain, and generates substantial output. This is a one-time investment – after setup, your agent remembers.

For advanced users: /arscontexta:setup --advanced to configure dimensions directly.

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