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AI智能体新纪元:MiniMax工作台如何让AI操作电脑并掌握专业技能

2026/1/24
AI智能体新纪元:MiniMax工作台如何让AI操作电脑并掌握专业技能
AI Summary (BLUF)

This article explores the evolution of AI agents beyond basic conversational interfaces, highlighting MiniMax's AI native Workspace as a next-generation solution. It introduces two key concepts - Cowork (a computer operation assistant) and Skill (pre-set prompts for specialized tasks) - and demonstrates how their integration enables local file access, automated workflows, and expert system capabilities through natural language interaction. The platform represents a shift toward AI agents that can operate computers and acquire specialized skills, expanding their potential applications limited only by imagination.

本文探讨了AI智能体超越基础对话界面的演进,重点介绍了MiniMax的AI原生工作台作为下一代解决方案。文章引入了两个关键概念——Cowork(计算机操作助手)和Skill(预设提示词用于专业任务)——并展示了它们的集成如何通过自然语言交互实现本地文件访问、自动化工作流程和专家系统能力。该平台代表了AI智能体能够操作计算机并获取专业技能的发展方向,扩展了其应用潜力,仅受想象力限制。

一、引言:AI 的产品形态之问

When we discuss the application of artificial intelligence, a fundamental question arises: What is the product form of AI? Large language models (LLMs) serve as the underlying processing engines, but there always needs to be an application-layer product to interface with user needs. This AI application layer is commonly referred to as an "agent." The core question then evolves into: What should this "agent" look like?

当我们讨论人工智能的应用时,一个根本性问题随之浮现:AI 的产品形态是什么?大语言模型是底层的处理引擎,但总需要一个应用层产品来对接用户需求。这个 AI 应用层通常被称为“智能体”。核心问题随之演变为:这个“智能体”应该是什么样子?

二、智能体形态的演进

Early agents were primarily conversational applications. Later, reasoning capabilities were integrated, enabling them to tackle complex problems. Subsequently, development branched into specialized domains, giving rise to coding agents, image agents, video agents, and more. Some agents integrated with Model Context Protocols (MCP) to gain the ability to operate external applications, such as generating Office documents or controlling a web browser.

早期的智能体主要是对话应用。后来,集成了推理能力,使其能够处理复杂问题。随后,发展分支进入专业领域,催生了编程智能体、图像智能体、视频智能体等。一些智能体集成了模型上下文协议,获得了操作外部应用的能力,例如生成 Office 文档或控制网络浏览器。

These forms have largely matured. Many companies are now exploring the next evolutionary stage of agent morphology. Recently, while using MiniMax's newly released AI Native Workspace, I was pleasantly surprised to think that this might be the answer.

这些形态已基本成熟。许多公司现在正在探索智能体形态的下一个进化阶段。最近,在使用 MiniMax 新发布的 AI 原生工作台时,我欣喜地认为,这可能就是答案。

三、核心概念:CoworkSkill

This new product incorporates two recent concepts proposed by Anthropic: Cowork and Skill.

这个新产品融合了 Anthropic 最近提出的两个新概念:CoworkSkill

Cowork: The Computer Operation Assistant

Cowork, simply put, is a "computer operation assistant." It is essentially a graphical interface version of a coding agent. It allows users unfamiliar with programming to state their requirements in natural language. The AI then generates and executes the underlying code to automatically operate the local computer and complete tasks.

Cowork,简单来说,是一个“计算机操作助手”。它本质上是编程智能体的图形界面版本。它允许不熟悉编程的用户用自然语言陈述需求。然后,AI 生成并执行底层代码,自动操作本地计算机以完成任务。

Skill: The Expert Mode

Skill is simpler; it is a preset prompt, equivalent to an "instruction manual" that describes in detail to the AI how to complete a specific type of task. It can be understood that each Skill represents an expert, endowing the AI with specialized knowledge in a particular domain.

Skill 更简单;它是一个预设的提示词,相当于一本“使用手册”,向 AI 详细描述如何完成某一类特定任务。可以这样理解,每个 Skill 代表一位专家,赋予 AI 在特定领域的专业知识。

One is an operation assistant, and the other is an expert mode. The former uses AI to operate the computer, while the latter equips AI with specialized skills. What happens when they are combined?

一个是操作助手,另一个是专家模式。前者使用 AI 来操作计算机,后者则为 AI 装备专门技能。两者结合会怎样?

The MiniMax AI Native Workspace is precisely such a product, exploratively integrating Cowork and Skill, possessing both capabilities and representing a completely new product form. Its desktop client provides Cowork capabilities, while its expert mode provides Skill capabilities.

MiniMax AI 原生工作台正是这样一款产品,探索性地整合了 CoworkSkill,同时具备两种能力,代表了一种全新的产品形态。其桌面客户端提供 Cowork 能力,而其专家模式则提供 Skill 能力。

四、桌面端操作助手实践

Below, I will demonstrate where its differences lie compared to traditional agents. Its desktop client is positioned as an "AI-native workspace" with the following capabilities:

下面,我将展示它与传统智能体的差异所在。其桌面客户端定位为“AI 原生工作台”,具备以下能力:

  • Direct Local File Access: Can read, write, and automatically upload or download files. / 直接访问本地文件:能够读写以及自动上传或下载文件。
  • Automated Workflows: Can decompose tasks and run web automation. / 自动化工作流程:能够分解任务并运行网络自动化。
  • Delivery of Professional Outputs: Can generate high-quality deliverables upon task completion, such as Excel spreadsheets, PowerPoint slides, and formatted documents. / 交付专业成果:任务运行结束后可以生成高质量的交付物,如 Excel 电子表格、PowerPoint 幻灯片和格式化文档。
  • Long-Running Tasks: Can handle complex tasks over extended periods, unaffected by conversation timeouts or context limitations. / 长时间运行任务:能够长时间处理复杂任务,不受对话超时或上下文限制的影响。

Note: Since it can operate the computer and communicate with the internet, it is crucial to specify a working directory before execution to prevent access to unauthorized directories. Additionally, backups are essential to safeguard against deletion or modification of original files.
注意:由于它可以操作计算机并与互联网通信,执行前必须指定工作目录,以防止访问未授权的目录。此外,必须进行备份,以防止原始文件被删除或修改。

The operational process is straightforward: download and install the desktop client (Windows/Mac versions available; new users currently get a 3-day free trial). After launching, you enter a traditional dialog interface. Upon specifying a run directory, you enter "workspace" mode, where operations can be performed on that directory (the software issues a risk warning). You can then instruct it to execute various tasks.

操作过程很简单:下载并安装桌面客户端(提供 Windows/Mac 版本;新用户目前可免费试用 3 天)。启动后,进入传统的对话框界面。指定运行目录后,即进入“工作台”模式,可对该目录进行操作(软件会发出风险警告)。然后,您可以指示它执行各种任务。

For example, I tasked it with organizing various electronic service invoice PDF files and generating a summary Excel document. It automatically installed a Python virtual environment within the current directory, generated and executed a Python script, and quickly produced the Excel file.

例如,我让它整理各种电子服务发票的 PDF 文件并生成一个汇总的 Excel 文档。它在当前目录内自动安装了 Python 虚拟环境,生成并执行了 Python 脚本,迅速生成了 Excel 文件。

By extension, various file organization tasks—such as photo sorting and file renaming—can be delegated to it. It can also perform web automation, such as automatically browsing a specific webpage to extract information and summarize content.

以此类推,各种文件整理任务——例如照片分类、文件重命名等——都可以交给它。它还能执行网络自动化,例如自动浏览特定网页以提取信息和总结内容。

五、专家系统:深度技能注入

Above, we demonstrated its workspace functionality, which acts as a "digital employee." Now, let's examine its "expert system."

以上展示了其作为“数字员工”的工作台功能。现在,让我们来看看它的“专家系统”。

The so-called "expert system" involves injecting specific prompt files to extend the agent's skills, equivalent to deep knowledge and capability infusion. Users can also upload private knowledge bases. In the web client, you can click "Explore Experts" in the left sidebar.

所谓的“专家系统”涉及注入特定的提示词文件以扩展智能体的技能,相当于深度的知识和能力注入。用户还可以上传私有知识库。在网页客户端,您可以点击左侧边栏的“探索专家”。

The system comes with several "preset experts" ready for use. I selected a system-provided "Icon Maker" skill (for creating logos) to test its effectiveness. I requested a logo for "a panda eating ice cream," and the system prompted me to choose a design style. It finally generated two files (sitting and standing poses) to choose from, with satisfactory results.

系统内置了一些可直接使用的“预设专家”。我选择了一个系统提供的“Icon 制作器”技能来测试其效果。我要求制作一个“熊猫吃冰淇淋”的 Logo,系统提示选择一种设计风格。最后生成了两个文件(坐姿和站姿)供选择,效果令人满意。

六、创建自定义技能

Beyond preset experts, the system also allows you to create "My Experts," which are custom skills. You need to input a capability description and instructions, and you can also add corresponding MCPs, SubAgents, environment variables, Supabase databases, etc.

除了预设专家,系统还允许您创建“我的专家”,即自定义技能。您需要输入能力描述和指令,还可以添加相应的 MCP、子智能体、环境变量、Supabase 数据库等。

I directly input a Skill file provided by Anthropic to see the effect. I chose the frontend-design skill. After input, it became visible under the "My Experts" tab. (Note: The system currently only supports inputting skill description files and does not yet support uploading static asset files, which is hopefully a feature for future updates.)

我直接输入了 Anthropic 提供的一个 Skill 文件来查看效果。我选择了 frontend-design 技能。输入后,它出现在“我的专家”标签页下。(注意:系统目前仅支持输入技能描述文件,尚不支持上传静态资源文件,希望未来能添加此功能。)

After selecting this expert, I requested it to generate an algorithm visualization page: "Generate a sorting algorithm visualization website that lists visual animations of common sorting algorithms. Upon selecting an algorithm, it displays the animation effect of that algorithm."

选择此专家后,我要求它生成一个算法可视化页面:“生成一个排序算法可视化网站,列出常见排序算法的可视化动画。选中某个算法后,会展示该算法的动画效果。”

The generation process took about ten minutes, yielding the result. The system generated animations for ten sorting algorithms and directly deployed the site online. I later adjusted the animation color scheme. The outcome is quite impressive.

生成过程大约十分钟,得到了结果。系统生成了十种排序算法的动画,并直接在线部署了网站。我后来调整了动画配色方案。效果相当出色。

七、总结与展望

The AI Native Workspace introduces AI agents to the local computer, enabling automated operations. Simultaneously, it incorporates a skill interface, allowing for the injection of external knowledge and capabilities. Moreover, all operations can be completed through natural language dialogue, placing low demands on users.

AI 原生工作台将 AI 智能体引入本地计算机,实现了自动化操作。同时,它集成了技能接口,允许注入外部知识和能力。此外,所有操作都可以通过自然语言对话完成,对用户要求很低。

This significantly expands the imaginative space for AI agents. The tasks they can accomplish will no longer be limited by the model's inherent capabilities but only by our imagination. I believe this product represents the development direction for the next stage of AI agents, unlocking many全新的 possibilities等待我们去探索。

这极大地拓展了 AI 智能体的想象空间。它们所能完成的任务将不再受限于模型的内在能力,而只受限于我们的想象力。我认为,这款产品代表了 AI 智能体下一阶段的发展方向,开启了众多等待我们去探索的全新可能性。

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