CLI 之所以令人兴奋，恰恰因为它是一种“传统”技术——这意味着 AI 智能体可以原生且轻松地使用它们，把它们组合起来，并通过完整的终端工具链与之交互。
例如，让你的 Claude 或 Codex Agent安装新的 Polymarket CLI，然后让它生成任意的仪表盘、界面或逻辑。智能体会帮你构建出来。再安装 GitHub CLI，你就可以让它浏览仓库、查看 issue、PR、讨论，甚至直接阅读代码本身。
举个例子：Claude 大约用了 3 分钟就构建了一个终端仪表盘，用来展示交易量最高的 Polymarket 市场以及 24 小时变化情况。你也可以把它做成 Web 应用，或任何你想要的形式。把它作为更大流水线中的一个模块时，威力更强。
如果你在做任何产品或服务，可以思考：智能体能否访问并使用它？
1，你的历史文档（面向人类的）至少能导出为 Markdown 吗？
2，你是否为你的产品编写了 Skills？
3，你的产品或服务能否通过 CLI 使用？或者通过 MCP？
现在是 2026 年。为智能体而构建。
英文：
CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit.
E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself.
Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines.
If you have any kind of product or service think: can agents access and use them?
- are your legacy docs (for humans) at least exportable in markdown?
- have you written Skills for your product?
- can your product/service be usable via CLI? Or MCP?
- ...
It's 2026. Build. For. Agents.