Agent skill · software engineering · aiskillstore
architecture-patterns
AI-friendly architecture patterns for TypeScript projects including Domain-Driven Design, Clean Architecture, Hexagonal Architecture, and Page Object Model testing patterns
Why this skill is useful
Provides specific architectural patterns and principles that guide AI in generating coherent and maintainable TypeScript code, which it wouldn't reliably infer on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Architecture Patterns for AI-Assisted Development Overview Modern software architecture patterns are extraordinarily effective when working with AI code generation. This skill provides comprehensive guidance on architecture patterns that help AI agents generate correct, coherent, and maintainable code for full-stack TypeScript projects. Why Architecture Matters for AI Certain software architecture and design patterns greatly assist AI code-generation tools in producing high-quality output. By structuring projects with clear domain models, layered boundaries, and well-defined patterns, you reduce ambiguity for AI assistants and dramatically increase the consistency and correctness of their output. Key principles: Explicit modeling reduces ambiguity about where logic should go Clear separation of concerns helps AI focus on one layer at a time Consistent patterns allow AI to reliably replicate your architectural decisions Well-defined interfaces act as contracts that guide AI implementation Testability becomes easier to achieve when architecture is sound Available Patterns Domain-Driven Design (DDD) DDD focuses on a clear domain model using Entities, Value Objects, Domain Services, and Repositories—all expressed in the ubiquitous language of the business. This explicit modeling gives AI agents a well-defined vocabulary and structure to follow. Best for: Complex business domains with evolving rules Systems where business language matters Long-lived applications requiring flexibility Teams with domain expertise to capture Key benefit: AI naturally follows domain terminology and structure, producing cohesive code that business stakeholders understand. Clean Architecture (Layered & Onion) Clean Architecture organizes code into concentric layers with strict dependency inversion. This pattern provides a clear recipe for where any piece of logic belongs, giving AI a strong guardrail for consistent implementation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/architecture-patterns