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What would happen if the person who takes your place after you leave is an AI clone that talks and works exactly like you? A quiet corporate battle has reportedly erupted in China and has quickly become a topic of discussion on GitHub.
The development began as large firms required employees to document their expertise and experience as “AI skill files.” According to the account, the stated purpose is not only storage or internal training, but to use the collected data to train machine systems that could replace workers in the near future.
Office workers in China, the article says, responded with counter-moves. An open-source tool named colleague.skill has been introduced, designed to automatically collect chat logs, emails, and work documents from Feishu and DingTalk. The system then replicates that information into an independent agent.
The core idea is described as “digitize your colleagues before they do the same to you,” then submit the copy to the company to help protect positions when layoffs occur.
As the project gained momentum, another anonymous developer reportedly released a different tool: anti-distill.skill. This tool is described as automatically stripping away core knowledge while leaving behind a professional veneer that appears thorough.
In practice, the final report submitted to the company is said to look complete and detailed, but the essential know-how is erased. The tools reportedly offer three masking levels—low, medium, and high—to match different levels of supervisor scrutiny.
The trend has reportedly spread beyond office work into personal domains. One example mentioned is ex.skill, which aims to clone a former partner using chat histories and voice notes.
The article highlights concerns about ownership of personal data and consent, including who controls messages, documents, and work habits after someone resigns, and whether using a person’s personality to build a digital copy violates personal rights. Legal challenges are described as anticipated as lawmakers respond.
The article frames the rapid pace of AI development as forcing knowledge workers worldwide to confront a difficult reality: when companies require detailed documentation of processes, it may be part of an effort to reduce or eliminate roles.
With regulations still evolving, it argues that individuals should defend their digital sovereignty. It also describes these “virtual skill assets” as potentially valuable personal capital, with the “winners” being those who can control their own data before it is used as a tool by others.

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