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The SCMP reports that an open-source artificial intelligence project aiming to “harvest” human capabilities into reusable AI “skills” is spreading rapidly in China, becoming a notable phenomenon among younger workers who are increasingly anxious about job loss as AI develops quickly.
The project has been widely discussed on the Xiaohongshu (RedNote) social platform and has attracted more than 8,000 stars on GitHub, according to Forklog.
Described as a way to extract and digitize capabilities, the project’s materials say that “skills” associated with well-known figures—such as Steve Jobs—spiritual figures like Gautama Buddha, and even ordinary office workers can be converted into digital form and uploaded online.
In the project description, the creator says the tool can make these capabilities available for free, including examples such as “Steve Jobs’ product intuition.”
The project, named Colleague Skill, was created as a spontaneous idea and completed in less than four hours, according to developer Zhou Tianyi, who was quoted by a local newspaper.
Zhou, a 24-year-old engineer at the Shanghai Artificial Intelligence Laboratory, said the initial goal was to turn workplace exchanges, documents, and experiences into reusable “skills,” with the aim of reducing repetitive tasks for workers.
In the GitHub project description, Zhou wrote that the tool is particularly useful when coworkers leave, leaving “a mountain of documents” to be processed. In that scenario, the system is described as turning “a cold farewell into warm skills” and preserving information permanently in the digital space.
The tool supports multiple languages, including Spanish, German, Japanese, Russian, and Portuguese.
The idea of “mobile skills” is linked to the American AI startup Anthropic, which used the term to describe reusable capabilities that allow its chatbot Claude to handle specific work processes in a more structured and repetitive way.
While the project is framed as “process optimization,” the article notes that the underlying data can be used to train AI systems, potentially enabling companies to replace employees.
According to Forklog, the project and its ideas have faced negative reactions from parts of the community. Many users describe the phenomenon as “worker distillation,” meaning extracting value from people to serve machines.
A counter-project called Anti Distillation Skill has also appeared, aiming to help users protect personal knowledge from being copied by AI.

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