视频简介
随着 AI 编程工具的飞速发展，开发者已经不仅仅满足于让 AI 生成一段代码，而是希望 AI 能真正融入日常开发流程并成为可复用、可维护、可扩展的生产力工具。本次匠人学院推出的 《Claude Code Skills 最佳实践：如何建立你的 AI 开发技能库》 线上公开课，正是围绕这一核心需求展开，为开发者系统讲解如何构建工程级 AI 开发技能库（Claude Code Skills），从而将 AI 辅助开发从一次性 Demo 推升为长期高效产出。 Claude Code Skills 是一种模块化的扩展机制，它通过标准化的目录结构和 SKILL.md 文件，将常见工作流封装为可重复、可组合、可共享的“技能包”。这种技能机制不仅使 Claude 能够按需调用特定能力，还能显著提升开发效率、减少重复性劳动，在复杂任务中保持一致的高质量输出，同时帮助团队建立可复用的 AI 开发规范。正如当前 AI 工具在业界不断被实践者验证一样，这种工程化的技能构建方式是提高项目质量与协作水平的重要一步。 本次公开课由匠人学院创始人 **Lightman** 主讲，内容涵盖 Claude Code Skills 的核心理念、模块化技能设计方法、实际工程场景下的应用技巧以及如何与现有开发流程（如前端、后端、API 自动化等）整合。活动特别适合已经使用或计划使用 Claude Code 的开发者、希望提升 AI 开发能力的工程师、以及希望将 AI 助力的编程工具纳入真实产品开发流程的技术团队成员。通过本次课程，参与者将能构建属于自己的 Claude Code 技能库，有效提升开发效率，并将 AI 编程能力转化为可持续的工程实践。 As AI-assisted development tools continue to evolve rapidly, developers are moving beyond simple code generation toward building **sustainable, maintainable, and scalable AI-powered workflows**. The online session **“Claude Code Skills Best Practices: How to Build Your AI Development Skill Library”** presented by JR Academy focuses on this shift by teaching developers how to construct an **engineering-level AI development skillset** using Claude Code Skills. This foundation allows AI assistance to become an integral part of serious software development rather than a one-off proof-of-concept. Claude Code Skills are a modular extension system that encapsulates routine workflows into reusable, composable, and shareable skill modules. Each skill has a clear structure—centered around a SKILL.md description file and optional auxiliary resources—that guides Claude to perform specific tasks when triggered. This modular structure not only enables Claude to automatically select the right capability but also significantly enhances productivity, reduces repetitive work, and ensures consistent output quality across complex tasks, making it an essential technique for developers looking to standardize AI-assisted workflows. The session is led by **Lightman, Founder and CEO of JR Academy**, who brings hands-on experience in real-world AI development and workflow optimization. The course covers the core principles behind Claude Code Skills, best practices in designing modular AI workflows, and strategies for integrating these skills into existing software development lifecycles—from frontend interfaces to backend APIs and automation scripts. It is designed for developers already using or planning to use Claude Code, engineers seeking to elevate their AI-assisted development capabilities, and technical teams wanting to embed AI tools into production-grade processes. Participants will gain actionable insights on how to architect their own Claude Code Skills library, improve productivity, and translate AI’s generative power into sustainable engineering outcomes. The session equips developers with the knowledge to turn AI from a helpful assistant into a reliable partner in real software projects.
