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donshin/ai-agent-exercises

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本页由 AI 翻译,技术细节请以原文为准。 查看原文

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Claude Cowork 的 AI Agents in Production 研讨会(仅限合成数据)实践练习

概览

第一件事,这里是:https://docs.google.com/document/d/15ezMo6nnC-aPtNTCMmesaSUADqlJxdkL/edit?usp=sharing&ouid=115622046555211467896&rtpof=true&sd=true 一个动手实验室,帮助你在 中构建你的第一个 AI 代理,使用一个混乱且完全合成的项目文件夹。 Larkfield Home Goods、其员工、供应商,以及这些文件中的每一个电子邮件、密码和电话号码都是虚构的。所有电子邮件域名都使用保留的.example顶级域名。我们有意使用合成数据:尚未涉及数据治理,因此目前没有真正的数据会接触到代理。 你是Larkfield Home Goods的IT团队成员(约180名员工)。将总部从旧的400 Main Street办公室搬到了Riverside Commons的新办公室,并将帮助台从共享邮箱切换到新的工单工具。 项目的共享硬盘一团糟:模糊的文件夹名称、文件归档错误、过时的计划、邮件导出、供应商报价、电子表格、三份员工调查。你的代理人的工作是理清这些。

概述(AI 翻译)

第一件事,总结工作表在这里:https://docs.google.com/document/d/15ezMo6nnC-aPtNTCMmesaSUADqlJxdkL/edit?usp=sharing&ouid=115622046555211467896&rtpof=true&sd=true

一个动手实验室,帮助你在Claude Cowork中构建你的第一个AI代理,使用一个杂乱、完全合成的项目文件夹。

本仓库中的一切都是虚构的。 Larkfield Home Goods、其员工、供应商,以及这些文件中的每封电子邮件、密码和电话号码都是虚构的。所有电子邮件域名都使用保留的.example顶级域名。我们有意使用合成数据:还没有涉及数据治理,所以目前没有真正的数据会接触到代理。

剧情

你是Larkfield Home Goods的IT团队成员(约180名员工)。河滨项目将总部从旧的400 Main Street办公室迁至Riverside Commons的新办公室,并将帮助台从共享邮箱切换为新的工单工具。

项目的共享硬盘一团糟:模糊的文件夹名称、文件归档错误、过时的计划、邮件导出、供应商报价、电子表格、三份员工调查。你的代理人的工作是理清这些。

**今天什么都不动。

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

AI Agent Exercises

First order of business, Takeaways Worksheet here: https://docs.google.com/document/d/15ezMo6nnC-aPtNTCMmesaSUADqlJxdkL/edit?usp=sharing&ouid=115622046555211467896&rtpof=true&sd=true

A hands-on lab for building your first AI agent in Claude Cowork, using a messy, fully synthetic project folder.

Everything in this repo is fictional. Larkfield Home Goods, its people, its vendors, and every email, password, and number in these files are made up. All email domains use the reserved .example TLD. We use synthetic data on purpose: we have not covered data governance yet, so no real data goes near an agent today.

The scenario

You’re on the IT team at Larkfield Home Goods (~180 staff). Project Riverside moves headquarters from the old 400 Main Street office to a new office at Riverside Commons, and switches the help desk from a shared mailbox to a new ticketing tool.

The project’s shared drive is a mess: vague folder names, misfiled documents, an outdated plan, email exports, vendor quotes, a spreadsheet, three staff surveys. Your agent’s job is to make sense of it.

Nothing gets moved today. In the triage exercises, your agent writes its plan to a spreadsheet (proposed_path says where each file should go) and leaves the files where they are. That way you can try again as many times as you like, and compare plans with your neighbors.

What’s in the repo

ai-agent-exercises/
├── README.md              ← you are here
├── larkfield-shared-drive/   ← the project folder. Connect ONLY this folder to Claude.
├── memo/                  ← the memo for Exercise 4
├── _eval/                 ← the answer key and scoring script for Exercise 5 (don't open yet)
└── example-skills/        ← two example skills for Exercise 4 (optional)

Connect only the folder that each exercise names. If you connect the whole repo, your agent can read this README and the answer key, and your results won’t tell you much.

Before you start

  1. A paid Claude plan (Pro, Max, Team, or Enterprise). Team and Enterprise users: your admin must allow Cowork and skills.
  2. Claude Desktop, updated to the latest version. It runs on macOS, Windows, and Linux (beta: Ubuntu 22.04+ or Debian 12+, with KVM enabled for Cowork).
  3. Settings → Capabilities → “Code execution and file creation” turned on. You need this for skills and for the scoring script in Exercise 5.
  4. Download this lab (the zip from the Releases page, or git clone) and unzip it somewhere easy to find, like your Desktop.

Which interface do you have? Since September 2026, Anthropic has been rolling out a version where Chat and Cowork are merged. If your message box shows “Chat” and “Cowork” options, you have the classic interface. If not, you have the new one. The steps below cover both.

在 GitHub 查看完整 README

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安装

npx skillfish add donshin/ai-agent-exercises
新手?先看 mcpskill.org 教程 →