Hiring: Business Development, Join us! 【View Details】
API Download the RootData App

Skills How to usher in the era of "specialized division of labor" in AI?

Feb 13, 2026 08:19:56

Share to

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 prompt each time: "Help me summarize this week's progress, the title should be in size two font, the format should refer to last year's template, and remember to take the data from this table…" Even so, AI would occasionally miscalculate or confuse the format.

Now, the emergence of Claude Skills has made this inefficient dialogue a thing of the past.

## 1. What are Skills? From "Teaching Every Time" to "Ready to Go"

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 intelligent folder.

To help you write that weekly report, this folder typically contains three things:

  1. Operation 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 must absolutely not be used.
  2. Standard Template (assets/): This contains the company's standardized Word or Excel templates. AI no longer relies on "imagination" but directly applies these standard documents when working.
  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 tell Claude, "Write the weekly report as planned," and it will automatically browse the manual, extract data, apply the template, and deliver a professional document that fully meets your expectations.

## 2. Efficient and Universal: The "Plug-and-Play" Era of AI

The design of Skills is incredibly smart; it addresses two core pain points of current AI:

  • No Wasted Brain Capacity (On-Demand Loading): The context space of AI is expensive. Skills use "progressive loading"—AI only remembers the names of the skills; it only "opens" that folder to read specific instructions when you actually want to write the report. This makes AI respond faster and reduces costs.
  • Cross-Platform Compatibility: The "weekly report expert" you configured on the web can be instantly transferred to your local programming assistant (Claude Code) to run. This means your work logic is portable and not locked to any single platform.

## 3. Looking Ahead: From "Solo Operations" to "Intelligent Society"

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

  1. Stacking Skills (Skill + Skill): You can stack "data analysis skills" and "German translation skills" like Legos. 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 Brain and Manual (Skill + Agent): The Agent is the brain, and Skills are the expert guides it can refer to. You no longer need to painstakingly "train" an all-purpose model; you just need to download different skill packages for a general AI assistant, and it can instantly transform from a "legal advisor" to a "code expert."
  3. Collaboration Between Agents (Agent + Agent): In the ultimate state, your personal AI assistant, upon realizing it is not good at a certain task (like tax auditing), will automatically seek out and call upon other agents with "tax Skills" in the market. Intelligence will flow and be divided freely among different Agents like water and electricity.

## 4. Why is Web3 an Inevitable 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 have potential; only when they are connected, combined, and produce specific actions through Skills does intelligence truly convert into value. The introduction of Web3 is not merely a "trend," but an inevitable outlet for the formation of the AI intelligence value network.

1. Value Capture: From "Scattered Instructions" to "High Barrier Assets"

Many people think Skills are just code snippets with no barriers. But when we broaden our perspective, the situation is entirely different:

  • Combination Creates Premium: A single Skill is indeed easy to replicate, but if you bundle and combine dozens of Skills targeted at specific industries (such as multinational tax auditing, on-chain quantitative strategies, privatized government processes) along with specific components, it forms a very high competitive barrier.
  • Privatization of Intellectual Assets: Through Web3's permission control, companies can encapsulate core business logic in private Skills. This means you are no longer selling code, but an "executable professional consulting service."
  • Global "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 simple as breathing for one Agent to call upon another Agent's professional Skill—real-time settlement without going through complex cross-border banking systems.

In summary: Skills provide a vehicle for value capture in the AI era, while Web3 offers the inevitability of global circulation and pricing for these vehicles.

2. Safety Barriers: Enabling Value Flow to "Dare to Happen"

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

  • Fingerprint Verification (Hash): For every skill listed, we calculate a unique "hash fingerprint" of its folder contents. This is like stamping the skill with a digital seal; even if someone alters a single byte, the fingerprint will immediately become invalid, ensuring you are using the "unaltered original."
  • On-Chain Registry: We record these fingerprints on an immutable blockchain. When you want to run a skill, the system first checks the "registry" to verify identity, ensuring the source of this intellectual asset is traceable.
  • Local Security Guard (Agent-Trust): This is a local tool called agent-trust. It acts like a 24/7 security guard, forcing a fingerprint comparison before your AI runs any scripts. If any anomalies are detected, it will instantly cut off execution, protecting 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 takes it from 1 to 100. We are defining not just a set of safety guidelines, but a set of intellectual trade rules for the AI era. In this network, every piece of encapsulated professional knowledge will be authenticated through fingerprints, priced through Web3, and ultimately, under a secure framework, will initiate global collaboration of silicon-based civilization.

Recent Fundraising

More
$3M Feb 13
$3M Feb 13

New Tokens

More
Feb 12
Feb 11

Latest Updates on 𝕏

More