We are experiencing a significant underlying evolution in the way AI is used.

In the past, if you wanted AI to help you write a company weekly report, you had to input a long instruction (Prompt) every time: “Help me summarize the progress of this week, the title should be in size two, refer to last year’s template for the format, and remember to take the data from this table…” Even so, AI would occasionally calculate incorrectly or confuse the format.

Now, the emergence of Claude Skills has made such inefficient dialogues a thing of the past.

1. What are Skills? From “teaching once each time” to “getting started directly”

In simple terms, Skills are a set of standardized toolkits that instantly turn AI into a “domain expert.” It is no longer just a sentence in a dialogue box, but a tangible smart folder.

To help you write that weekly report, this folder usually contains three items:

1. User Manual (SKILL.md): This is an extremely detailed Markdown instruction manual. It specifies how every word in the weekly report should be written and which words absolutely cannot be used.
2. Standard Template (assets/): This contains the company’s unified Word or Excel templates. AI no longer relies on “imagination” when working, but directly uses these standard files.
3. Automation Scripts (scripts/): If the weekly report involves complex sales data calculations, the Python scripts in the folder will run automatically to produce 100% accurate numbers.

The result is: You only need to say to Claude, “Write the weekly report as planned,” and it will automatically browse the manual, extract the data, apply the template, and deliver a professional document that fully meets your expectations.

2. Efficient and universal: The era of “plug and play” AI

The design of Skills is extremely clever as it addresses two core pain points of current AI:

• No waste of cognitive capacity (on-demand loading): The context space of AI is precious. Skills use “progressive loading”—AI usually only remembers the names of the skills; it only “opens” that folder to read specific instructions when you actually want to write the weekly report. This makes AI respond faster and reduces costs.
• Multi-platform compatibility: The “weekly report expert” you configured on the web can instantly be transferred to your local programming assistant (Claude Code) for operation. This means your workflow is portable and not locked to any single platform.

3. Prospects for the endgame: From “individual combat” to “smart society”

When Skills become widespread, the operational model of AI will undergo a tremendous transformation:

1. Stacking skills (Skill + Skill): You can stack “data analysis skills” and “German translation skills” like LEGO. AI will first use the first skill to process data, and then use the second skill to translate the results into German.
2. Integration of brains and manuals (Skill + Agent): The Agent (intelligent agent) is the brain, and Skills are its expert guides that it casually browses. You no longer need to laboriously “train” a versatile model, you simply need to download different skill packages for the general AI assistant, and it can instantly transform from a “legal advisor” to a “code expert.”
3. Collaboration between agents (Agent + Agent): In the end state, when your personal AI assistant discovers it is not good at a certain task (like tax auditing), it will automatically search the market for and invoke other agents with “tax Skills.” Intelligence will flow and be distributed freely between different Agents like water and electricity.

4. Why is Web3 a necessary choice for this market?

If a single large AI model is the “neuron” of silicon-based civilization, then Skills are the “synapses” connecting these neurons.

Neurons themselves only possess potential; intelligence truly translates into value only when they are connected, combined through Skills, and result in concrete actions. The introduction of Web3 is not a simple attempt to “ride the wave”; it is the inevitable outlet for the formation of the value network of AI intelligence.

1. Value capture: From “scattered instructions” to “high-barrier assets”

Many people think Skills are just code snippets, without barriers. However, when we broaden our perspective, the situation becomes completely different:

• Combination produces premiums: A single Skill is indeed easy to replicate, but if dozens of Skills targeting specific industries (such as: multinational tax auditing, on-chain quantitative strategies, privatized governmental processes) are packaged and combined with specific components, it forms a very high competitive barrier.
• Privatization of intellectual assets: Through Web3’s permission control, enterprises can encapsulate core business logic in private Skills. This means that what you are selling is no longer code, but a kind of “executable professional consulting service.”
• Globalized “intellectual micropayments”: Transactions in the AI era are high-frequency and cross-border. Web3 provides the native currency of silicon-based civilization, making it as easy as breathing for one Agent to invoke another Agent’s professional Skill—real-time settlement without going through complex cross-border banking systems.

To summarize in one sentence: Skills provide a carrier for value capture in the AI era, while Web3 offers the inevitability of global circulation and pricing for these carriers.

2. Safety barriers: Making value flow “daring to happen”

When intelligence begins to generate high value, safety becomes the only red line. To encourage users to freely let AI carry assets to execute these Skills, we have introduced three layers of defense through Web3:

• Fingerprint verification (Hash): For every Skill listed, we calculate a unique “hash fingerprint” of its folder content. This is like stamping the Skill with a digital seal; even if someone changes a single byte, the fingerprint will immediately become invalid, ensuring you are using the “uncorrupted original version.”
• On-chain registry (Registry): We record these fingerprints on an immutable blockchain. When you want to run a Skill, the system will first verify the identity in the “registry” to ensure the source of this intellectual asset is traceable.
• Local security guard (Agent-Trust): This is a local tool called agent-trust. It acts as a 24/7 security guard, performing a fingerprint comparison before your AI runs any scripts. Once an anomaly is detected, it will instantly cut off execution to protect your local private keys and core assets.

Conclusion

Skills have transformed AI from a “chatbot” into an “execution expert,” achieving a leap from 0 to 1.

Our Web3 Marketplace aims to build the value network that expands from 1 to 100. What we define is not only a set of safety guidelines but also a set of intellectual trade rules for the AI era. In this network, every encapsulated professional knowledge will be certified through fingerprints, priced through Web3, and ultimately, within a safe framework, will open up global collaboration for silicon-based civilization. How does Skills usher in the era of “professional division of labor” for AI?

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