The development of Colleague Skill is actively discussed on the social network RedNote (known in the country as Xiaohongshu), where it has gained over 8,000 stars on GitHub. The developer positions the tool as a more efficient way to “say goodbye” to colleagues.
The service allows professional knowledge, information handling methods, and communication styles (used in emails and phone calls) to be transferred to an AI assistant. To train the AI, users need to upload messages from work chats, documents, spreadsheets, emails, audio recordings, and screenshots.
Colleague Skill can write code based on technical specifications, answer questions, and even shift blame onto others.
The project emerged against the backdrop of reports that more and more employers were requiring employees to systematically document their work processes and decision-making logic before firing them. Management called the procedure “process optimization,” but in reality, the data was used to train AI systems.
The situation has been met with a negative reaction from users, who have dubbed the process “distilling the worker.” In response, a project called Anti Distillation Skill has appeared, designed to protect against knowledge copying.
This tool helps rewrite archived documents so that they are less useful to AI agents.
Other users have started uploading repositories to digitally capture former girlfriends, bosses, or even themselves for business correspondence.
Conclusion
The Colleague Skill project raises concerns about workplace automation and AI taking over human tasks. While offering efficiency, it brings up ethical issues regarding privacy and intellectual property protection in the workplace.
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