What is the 'Rule of 3' in this skill?

The Rule of 3 suggests that if you see the same logic or structure appearing in three or more different domains, it is likely a universal principle that can be abstracted and applied elsewhere.

How does this skill help with system design?

It provides a framework to recognize common architectural shapes like caching, queuing, and pooling, helping you choose battle-tested solutions instead of creating custom, unproven ones.

When should I trigger this skill in Claude Code?

Use it when you feel like you are solving a problem you've seen before, or when you notice different parts of your system are implementing similar logic in different ways.

What are the 'red flags' mentioned in the skill?

Red flags include thinking a problem is entirely unique, having multiple teams solve the same problem independently, or feeling like you are reinventing the wheel.

Meta-Pattern Recognition

Name: Meta-Pattern Recognition
Author: lifangda

bylifangda

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生産性とワークフロー

Identifies universal principles by spotting recurring architectural patterns across three or more distinct domains.

概要

Meta-Pattern Recognition is a strategic problem-solving skill that helps users identify and extract universal principles from recurring technical patterns. By applying the 'Rule of 3'—where a pattern appearing in three or more domains indicates a fundamental truth—this skill allows developers to move beyond isolated problem-solving. It provides a structured workflow for abstracting solutions like caching, layering, or pooling and adapting them to new contexts, ensuring that implementations are based on battle-tested logic rather than reinventing the wheel.

主な機能

Cross-domain pattern extraction (Rule of 3)
Abstraction of technical solutions into universal principles
Identification of domain-specific adaptation points
Recognition of 'red flags' for redundant engineering
Application of proven patterns to emerging technologies
16 GitHub stars

ユースケース

Applying resource-bounding patterns like rate limiting to LLM token management
Standardizing resource management strategies across microservices and databases
Resolving systemic 'déjà vu' by mapping current challenges to historical architectural solutions

概要

主な機能

Cross-domain pattern extraction (Rule of 3)
Abstraction of technical solutions into universal principles
Identification of domain-specific adaptation points
Recognition of 'red flags' for redundant engineering
Application of proven patterns to emerging technologies
16 GitHub stars

ユースケース

Applying resource-bounding patterns like rate limiting to LLM token management
Standardizing resource management strategies across microservices and databases
Resolving systemic 'déjà vu' by mapping current challenges to historical architectural solutions