Recently, a very interesting transformation is happening in the use of artificial intelligence. Previously, when you wanted to have Claude generate a weekly report, you had to input long instructions each time. Where the data would come from, what format it would be in, which template to use... And then sometimes the numbers would be wrong or the format would get mixed up. Now, this inefficient period is behind us.

This change is driven by Claude's new standard skill system. In short, instead of teaching the same thing every time, you can now directly deploy the AI to work. This system called skills instantly transforms the AI into an expert in a specific field. It works not just as a sentence in a chat window, but like a concrete smart folder.

This folder typically contains three main components. First, a user manual that explains in detail how the task should be done. Second, standard templates—company Word or Excel formats. The AI can now use these files directly instead of guessing in its head. Third, automatic scenarios—if complex calculations are needed, Python scripts run automatically, producing 100% accurate results.

As a result, you just say "write the weekly report" to Claude, and it automatically reviews the manuals, extracts data, applies the template, and delivers a professional document fully aligned with your expectations. This standard skill approach is designed to solve two fundamental problems of AI. On one hand, AI's context window is costly, so skills are only loaded when necessary. On the other hand, an expert set up in the web version can be instantly transferred to a programming assistant.

When skills become sufficiently widespread, the working model of AI will change completely. Different skills will be connectable—data analysis skills can combine with language translation skills like Lego pieces. AI first performs the task with the first skill, then transforms the result with the second. By integrating agents and skills, instead of training a single all-capable model, you will be able to download different expert packages into your general assistant.

At this point, the emergence of Web3 becomes inevitable. If a single AI model is the neural core of civilization, skills are the synapses connecting these neurons. Neurons alone hold potential, but when connected through skills, they turn into true intelligence. Web3 is not just a trend; it is a natural consequence of forming this value network.

Especially in terms of value capture, a single standard skill can be easily copied, but when dozens of skills are combined for specific sectors, a very high barrier to competition is created. Companies can control access via Web3, encapsulating critical business functions within private skills. This means not just selling code, but offering deployable professional consulting services.

From a security perspective, Web3 also becomes essential. As intelligence begins to generate high value, protection becomes critical. The content of each skill is assigned a unique fingerprint, which is recorded on the blockchain. Before executing a script, the system verifies the fingerprint. If any anomaly is detected, local private keys and critical assets are protected.

Ultimately, this standard skill system has transformed AI from a chat bot into a real operational expert. With Web3 integration, it not only provides a security guide but also creates a set of trading rules for the AI era. Each packaged expertise becomes justified with its fingerprint, priced via Web3, and opens the door to global collaboration.