The video showcases a new Claude feature that lets users teach the AI custom workflows by recording their screen actions and voice instructions, enabling Claude to replicate tasks even on platforms without APIs. This cross-platform functionality, available via the Claude app and Chrome extension, allows users to automate complex tasks and integrate these learned skills into broader routines for enhanced productivity.
The video introduces a new feature in Claude that allows users to teach the AI new workflows or skills by simply recording their actions. By clicking “record a skill” within the Claude app, users can capture both their screen activity and voice instructions as they perform a task. This recorded demonstration is then saved as a skill that Claude can learn and replicate, even for applications that lack APIs or direct integrations, such as the example given with the platform “school.”
The process involves navigating to the Claude app’s home section, specifically the co-work area, where users can start recording their workflow. During the recording, every step is captured, including clicks, typing, and voice narration. Once completed, Claude processes the recording, which includes screenshots and verbal instructions, enabling it to understand and perform the task autonomously in the future. This method effectively teaches Claude how to interact with complex or unsupported software environments.
An additional highlight is that this functionality is not limited to the Claude app alone but also extends to the desktop and browser environments. The video demonstrates how the Chrome extension for Claude offers a similar “Teach Claude” feature, allowing users to record shortcuts that Claude can learn. This cross-platform capability means users can automate tasks involving file management, web navigation, and more, making the feature highly versatile.
The presenter also notes that while this recording and teaching functionality feels new and exciting, it has actually existed in some form for a while within Claude’s ecosystem. The recent updates have simply formalized and standardized the process, making it more accessible and user-friendly. This evolution reflects a broader trend in AI tools where existing capabilities are refined and packaged for easier adoption by users.
Finally, the video shows how these recorded skills can be integrated into larger automations or routines. For example, a saved skill for posting to “school” can be combined with an automation that pulls content from previous chats and posts it automatically. This demonstrates the practical value of the feature, enabling users to create meaningful workflows that save time and effort, even for platforms without native automation support. The video concludes with an encouragement to engage with the content and a promise of more helpful tutorials in the future.