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Skills How to Usher in the Era of AI “Specialization and Division of Labor”?

Analisis9 jam yang lalu发布 Wyatt
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In the past, if you wanted AI to help you write a company weekly report, you needed to input a long instruction (Prompt) every time: “Help me summarize this week’s progress, use size 2 font for the title, follow last year’s template for formatting, remember to pull data from this spreadsheet…” Even then, AI would occasionally miscalculate numbers or mess up the formatting.

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

1. What are Skills? From “Teaching Every Time” to “Ready to Work”

Simply put, Skills are a set of standardized toolkits that instantly turn AI into a “domain expert.” It’s no longer just a sentence in a chat box, but a tangible smart 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 dictates how every word of the report should be written and which terms must never be used.
  2. Standard Templates (assets/): This contains the company’s unified Word or Excel templates. AI no longer relies on “imagination” but directly applies these standard files.
  3. Automation Scripts (scripts/): If the 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 consult the manual, extract data, apply the template, and deliver a professional document that perfectly meets your expectations.

2. Efficient and Universal: The “Plug-and-Play” Era of AI

The design of Skills is extremely clever, addressing two core pain points of current AI:

  • Doesn’t Waste Brain Capacity (On-Demand Loading): AI’s context window is expensive. Skills use “progressive loading” – AI usually only remembers the skill’s name; it only “opens” that folder to read the specific instructions when you actually need to write the report. This makes AI faster and cheaper.
  • Cross-Platform Compatibility: The “Weekly Report Expert” you configure in the web version can be instantly transferred to run in your local programming assistant (Claude Code). This means your workflow logic is portable and not locked into any single platform.

3. Envisioning the Endgame: From “Lone Operatives” to an “Intelligent Society”

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

  1. Stacking of Skills (Skill + Skill): You can stack “Data Analysis Skill” and “German Translation Skill” like Lego blocks. AI will first process data using the first skill, then use the second skill to translate the results into German.
  2. Integration of Brain and Manual (Skill + Agent): The Agent (intelligent agent) is the brain, and Skills are the expert memandus it consults. You no longer need to painstakingly “train” a generalist model; you just need to download different skill packs for a generic AI assistant, and it can instantly transform from a “Legal Advisor” to a “Code Expert.”
  3. Collaboration Between Agents (Agent + Agent): In the endgame state, your personal AI assistant, upon realizing it’s not proficient at a certain task (like tax auditing), will automatically search the market for and invoke other agents equipped with “Tax Skills.” Intelligence will flow and divide labor freely between different Agents, just like water and electricity.

4. Why is Web3 the Inevitable Choice for This Pasar?

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

Neurons themselves only possess potential. It is only when they are connected, combined, and generate specific actions through Skills that intelligence is truly transformed into value. The introduction of Web3 is not simply “riding the hype”; it is the 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 zoom out, the situation is completely different:

  • Combination Creates Premium Value: A single Skill is indeed easy to copy. However, packaging and combining dozens of Skills targeted at specific industries (e.g., cross-border tax auditing, on-chain quantitative strategies, privatized government processes) with specific components creates an extremely high competitive barrier.
  • Privatization of Intellectual Assets: Through Web3’s permission controls, enterprises can encapsulate core business logic within private Skills. This means you are no longer selling code, but an “executable professional consulting service.”
  • Globalized “Intelligence Micropayments”: Transactions in the AI era are high-frequency and cross-border. Web3 provides the native currency for silicon-based civilization, making it as simple as breathing for one Agent to invoke another Agent’s professional Skill – real-time settlement, bypassing complex international banking systems.

In summary: Skills provide the vessel for value capture in the AI era, and Web3 provides the inevitability for the global circulation and pricing of these vessels.

2. Safety Guardrails: Making Value Flow “Dare to Happen”

When intelligence begins to generate high value, security becomes the only red line. To empower 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 a digital seal on the skill. Even if someone changes a single byte, the fingerprint immediately becomes invalid, ensuring you are using the “untampered original version.”
  • On-Chain Registry: We record these fingerprints on an immutable blockchain. When you want to run a skill, the system first verifies its identity against this “registry,” ensuring the intellectual asset is traceable to its source.
  • 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 script. Upon detecting any anomaly, it instantly halts execution, protecting your local private keys and core assets.

Kesimpulan

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

And our Web3 Marketplace aims to build the value network that scales from 1 to 100. We are defining not just a set of security principles, 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, within a secure framework, initiate global collaboration for silicon-based civilization.

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