I'm currently observing a very interesting change in how AI works. Previously, when you wanted to teach Claude a task, you had to give long, detailed instructions each time. If you needed to write a weekly report: "Keep this format, extract this data from here, follow last year's template..." and still, mistakes would happen. Now, with Claude Skills, all that hassle is gone.

Actually, what are Skills? In simple terms, they are a standardized toolkit that instantly makes AI an expert. Not just a single line, but a whole smart folder containing three things. First, a detailed operation manual explaining how to do everything. Second, standard templates that are your company's actual Word or Excel files. Third, automated scripts that handle complex calculations automatically. The result? Just tell Claude once, "Write the report," and it will fetch everything itself, in the correct format, with the right data.

This approach is brilliant because it solves two major problems of AI. First, the context space is very expensive, so Skills have a progressive loading system—AI only remembers the skill's name, and opens that folder only when needed. Second, it works across all platforms. You set it up in the web version, and you can directly transfer that setup to your local Claude Code.

Now, where it really gets interesting is when you understand the significance of its size. When these Skills become quite popular, the entire landscape will change. You can stack different skills like Lego blocks—add a translation skill to a data analysis skill, and the AI will first process the data, then translate it into German. Or see collaboration between agents—when your personal AI assistant can't handle a task, it will automatically find other agents in the market with the required expertise.

This is where the Web3 connection comes in. If you think of each AI model as a neuron, Skills are the synapses connecting those neurons. But this isn’t just a technical connection; it’s the formation of a value network. The intellectual property created through Skills becomes a high-barrier asset—because copying a skill is easy, but creating an integrated solution by perfectly combining dozens of skills for specific industries is a whole different matter.

Why is Web3 necessary here? Because when these value-generating systems are built, they need to be managed securely, transparently, and globally accessible. On the blockchain, each skill will have a fingerprint record, making ownership clear and tampering detectable. And when one agent calls another agent’s skill, real-time settlement will occur—without complicated international banking. This is the infrastructure for global flow and pricing in a silicon-based civilization.

Finally, Skills have transformed AI from a chatbot into an executive expert. Now, the Web3 marketplace’s job is to scale this from 1 to 100, creating a full ecosystem where every packaged expertise can be owned via fingerprint, verified through blockchain, and finally, enable secure global collaboration within a trusted framework. This is the true potential of AI in this new era.