How does this skill assist with legacy system migration?

It implements the Strangler Fig pattern, allowing Claude to guide you through replacing legacy components incrementally while running old and new systems in parallel to minimize risk.

How does it improve debugging and observability?

By utilizing the Three-Stage Design pattern, it separates discovery, execution, and reporting, ensuring that workflows fail gracefully and provide detailed logs of what happened.

What architectural patterns does this skill support?

The skill supports Separation of Concerns, Hub and Spoke, Strangler Fig, Three-Stage Design, and Matrix Distribution patterns.

Can this skill help with system scalability?

Yes, it uses Hub and Spoke and Matrix Distribution patterns to design systems capable of distributed execution and parallel processing.

Architecture Patterns

Name: Architecture Patterns
Author: adaptive-enforcement-lab

byadaptive-enforcement-lab

API Development

Implements industry-standard architectural patterns to build scalable, maintainable, and resilient software systems.

About

The Architecture Patterns skill provides Claude with a robust framework for designing and structuring complex software systems. It focuses on core principles like Separation of Concerns to ensure maintainability, Hub and Spoke for distributed orchestration, and the Strangler Fig strategy for safe, incremental legacy migrations. Whether you are refactoring a monolith or building high-performance parallel processing workflows, this skill guides Claude to implement patterns that prioritize observability, testability, and zero-downtime transitions.

Key Features

Strangler Fig pattern for low-risk, incremental legacy migrations
0 GitHub stars
Matrix Distribution for high-performance parallel target processing
Separation of Concerns for modular, single-responsibility components
Hub and Spoke orchestration for distributed, event-driven execution
Three-Stage Design for improved observability in complex workflows

Use Cases

Refactoring monolithic applications into decoupled microservices
Designing scalable CI/CD and automation workflows with clear reporting
Migrating legacy infrastructure to modern tech stacks without downtime

About

Key Features

Strangler Fig pattern for low-risk, incremental legacy migrations
0 GitHub stars
Matrix Distribution for high-performance parallel target processing
Separation of Concerns for modular, single-responsibility components
Hub and Spoke orchestration for distributed, event-driven execution
Three-Stage Design for improved observability in complex workflows

Use Cases

Refactoring monolithic applications into decoupled microservices
Designing scalable CI/CD and automation workflows with clear reporting
Migrating legacy infrastructure to modern tech stacks without downtime