How Computers Work More Precisely

How computer systems work more intelligently is one of the most important questions in today’s AI era. The arrival of Claude Skills provides a revolutionary answer—an system that takes computers beyond simple instruction following. This fundamental change completely transforms how AI operates.

Task division in computer systems: Structure of Skills

Traditionally, when you give a computer a complex task—like preparing a weekly report—you need to provide detailed instructions each time. “Please summarize this week’s progress, with a second-level heading, follow last year’s template format, and extract data from this table.” This repetitive process wastes time and introduces errors.

Claude Skills solves this problem by dividing the computer’s work into specialized modules. It’s not just a simple folder but a fully structured system with three main components:

First component: Operation Manual (SKILL.md) — A detailed Markdown guide that explains how to write each part of the weekly report and which words to avoid. Once programmed, the computer performs this task correctly every time.

Second component: Standard Templates (assets/) — Company Word or Excel templates stored here. The computer no longer needs to “guess”—it directly uses these standard files.

Third component: Automation Scripts (scripts/) — For complex data calculations in reports, Python scripts run automatically, providing 100% accurate figures.

This division allows the computer to produce perfectly accurate results based on a single set of instructions.

Streamlining computer processes: Efficient and universal design

Skills are designed with great intelligence because they solve two main problems of modern computer systems.

Problem 1: Resource waste — AI’s context space is expensive. Skills adopt a technique called “progressive loading.” Normally, the computer only remembers the Skill’s name; it only opens the folder and reads specific instructions when you actually need to write a weekly report. This makes the system faster and cheaper.

Problem 2: Platform dependence — Previously, transferring a useful Skill from one platform to another was impossible. Now, you can instantly transfer a “Weekly Report Expert” set up on the web version to your local Claude Code on your computer. This versatile system is not tied to a single platform.

Evolution of computer architecture: Agent-based collaboration

As Skills become sufficiently popular, a significant transformation in how computer systems operate will occur—an ecosystem where various specialized modules collaborate.

Level 1: Combining Skills (Skill + Skill) — You can stack “Data Analysis Skill” and “German Translation Skill” like Lego blocks. The computer first processes data with one Skill, then translates the result into German with another.

Level 2: Integration of intelligence and execution (Skill + Agent) — An Agent can be thought of as “the brain of the computer,” while Skills are specialized tasks. You no longer need to “train” a universal model. Just download different Skill packs into a general AI assistant, and it can instantly switch from “Legal Advisor” to “Coding Expert.”

Level 3: Collaboration between agents (Agent + Agent) — In the most advanced scenario, your personal AI assistant, when unable to complete a task (like a tax audit), automatically finds and activates other Agents in the market with “Tax Skill.” Intelligence flows freely among various Agents like water and electricity.

Computer security architecture: Web3-based verification system

When computer systems undertake high-value tasks, security becomes paramount. To give users confidence in executing these expert Skills, we have established three security layers via Web3.

First layer: Fingerprint verification (Hash) — We compute a unique “hash fingerprint” of each uploaded Skill folder’s contents. Like a digital seal. If even one byte changes, the fingerprint becomes invalid, ensuring you always get the “original, unaltered version.”

Second layer: On-chain registry — These fingerprints are recorded on an immutable blockchain. When you want to run a Skill, the system first verifies its identity in this “registry,” ensuring the asset comes from a trusted source.

Third layer: Local security (Agent-Trust) — A local tool called Agent-Trust acts as a 24/7 security manager, requiring fingerprint matching before any script runs on your computer. If anomalies are detected, execution is immediately halted.

Conclusion: A new chapter in how computers work

Claude Skills has transformed computers from “simple chatbots” into “expert executors.” This is a crucial leap—from zero to one.

Our Web3-based comprehensive marketplace platform takes this further: building a network valued from one to one hundred. We have not only defined security standards but also outlined an intelligent business framework for the AI era.

In this system, how computers work more effectively is ensured through a coordinated ecosystem—where each expert Skill is secured by fingerprint, evaluated via Web3, and within a trustworthy structure that enables global collaboration in silicon-based civilization.