What is the Scale Game principle?

The Scale Game involves testing systems at 1000x larger or smaller scales to reveal fundamental architectural truths that are invisible at normal operating levels.

How does this skill help with debugging?

It identifies limits such as memory leaks, state growth issues, or algorithmic bottlenecks by simulating extreme scenarios before they manifest in production.

When should I use the Scale Game skill?

Use it when you are uncertain about system scalability, when edge cases are unclear, or when validating an architecture for high-volume production environments.

Can it help with API design?

Yes, it forces the evaluation of latency and concurrency requirements by simulating global scale and massive user counts, identifying when sync calls must become async.

Does it work for small-scale projects?

Absolutely; testing the 'minimum' scale (e.g., 1 user or 1 item) helps simplify logic and identify over-engineered components that shouldn't be there.

Scale Game Architecture Tester

Name: Scale Game Architecture Tester
Author: orban

byorban

0•

보안 및 테스팅

Identifies hidden architectural flaws and bottlenecks by stress-testing system assumptions at extreme scales.

The Scale Game skill empowers Claude to perform rigorous mental simulations by evaluating code and architecture against extreme constraints—ranging from processing a single item to handling billions of concurrent requests. By forcing the AI to consider scenarios 1000x larger or smaller than typical operating conditions, it uncovers fundamental design flaws, concurrency issues, and algorithmic bottlenecks that often remain invisible during standard development. This skill is essential for validating production readiness, ensuring that error handling survives massive volume, and determining when synchronous processes must transition to asynchronous patterns.

주요 기능

01Identification of state persistence and cleanup requirements

02Validation of asynchronous requirements vs. synchronous calls

03Multi-dimensional stress testing across volume, speed, and duration

040 GitHub stars

05Minimum vs. maximum scale analysis (1000x smaller/larger)

06Detection of algorithmic complexity limits and memory growth

사용 사례

01Validating if a local development approach will survive massive production traffic

02Determining if error-handling logic can withstand high-frequency failure rates

03Testing if in-memory state management remains stable over year-long durations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add orban/claude-skills scale-game

For use in Claude.ai and ChatGPT