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agent-skills-with-anthropic

by @datawhalechinav
4.2(24)

This project serves as Chinese learning materials for Andrew Ng's DeepLearning.AI `agent-skills-with-anthropic` course. It provides course content translation, key concept summarization, and example code explanation, aiming to help Chinese learners easily master AI Agent and Claude-related skills. It is suitable for developers and researchers interested in AI Agent and Claude technologies, or those who wish to learn Andrew Ng's courses in Chinese.

AI AgentAnthropic ClaudeDeepLearning.AILearningTutorialGitHub
Installation
git clone https://github.com/datawhalechina/agent-skills-with-anthropic.git
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Before / After Comparison

1
Before

Facing DeepLearning.AI's English courses, language barriers led to difficulties in understanding, scattered knowledge points, difficulty following practical code, and low learning efficiency.

After

Through Chinese translation, systematic knowledge organization, and code interpretation, easily master AI Agent skills, improving learning efficiency and practical ability.

description SKILL.md

项目简介

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

项目采用开源协作模式,欢迎广大学习者参与贡献,共同完善中文学习生态。如果本项目对您有所帮助,欢迎给我们点个 Star!

视频课程地址: DeepLearning.AI - agent-skills-with-anthropic

官网解读教程: sc-agent-skills-files

项目受众

  • 对 AI agent 和 Claude 相关技术感兴趣的学习者
  • 希望了解如何使用和创建 AI skills 的开发者
  • 想要学习吴恩达老师课程但英文阅读有障碍的中文用户
  • 对 AI 技术应用感兴趣的学生和研究人员

项目亮点

  • 完整的中文翻译,降低学习门槛
  • 系统的知识点梳理,帮助理解核心概念
  • 详细的示例代码解读,便于实践应用
  • 开源协作模式,欢迎社区贡献
  • 与官方课程同步,保持内容完善

项目规划

课时内容负责人内容核查人
1、Introduction陈辅元李智江
2、Why Use Skills - Part I邓一纯查昊南
3、Why Use Skills - Part II邓一纯查昊南
4、Skills vs Tools, MCP, and Subagents陈辅元李智江
5、Exploring Pre-Built Skills邓一纯查昊南
6、Creating Custom Skills陈辅元李智江
7、Skills with the Claude API李智江陈辅元
8、Skills with Claude Code李智江陈辅元
9、Skills with the Claude Agent SDK查昊南邓一纯
10、Conclusion陈辅元李智江

致谢

  • 特别感谢 @Datawhale 对本项目的支持
  • 如果有任何想法可以联系我们,也欢迎大家多多提出 issue
  • 特别感谢以下为教程做出贡献的同学!

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Rating4.2 / 5.0
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Updated2026年4月27日
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Created2026年4月16日
Last Updated2026年4月27日
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