Architecture Patterns

Architecture Patterns is an AI Engineering skill for Claude Code, published by nWave-ai in nWave.

598 stars61 forkson nWave-ai/nWaveAdded 2026/08/25+1% in starsRepository updated 2026/06/27

agentic-aiagentic-codingagentic-frameworkagentic-workflowaiatddbddclaude-codeclaude-code-cliclaude-code-commandsclaude-code-hooksclaude-code-skillsclaude-code-subagentsdevopslean-uxopencodesoftware-architecturesoftware-craftmanshiptdd

Install in seconds

Install Architecture Patterns

Copy Architecture Patterns into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-architecture-patterns ~/.claude/skills/nw-architecture-patterns

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nWave-ai/nWave.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: nWave/skills/nw-architecture-patterns/SKILL.md in nWave-ai/nWave
Installs to: ~/.claude/skills/nw-architecture-patterns
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Architecture Patterns does

Architecture Patterns covers architecture styles, DDD, quality attributes, and trade-off evaluation for solution design. Use it when choosing patterns, defining boundaries, or assessing risks in a system architecture.

Architecture Patterns is cataloged under AI Engineering on DirSkills. Architecture Patterns comes from a repository tagged agentic-ai, agentic-coding, agentic-framework, agentic-workflow and ai.

Documentation

README

Excerpt

Architecture Patterns and Methodologies

C4 Model -- Hierarchical Architecture Visualization

Four levels for different audiences:

System Context: system + users + external systems (stakeholder view)
Containers: applications, data stores, deployment units (technical overview)
Components: internal modules within containers (developer view)
Code: class/module level (optional, often auto-generated)

Notation/tooling independent. Reduces communication overhead, shared visual language across stakeholders.

Hexagonal Architecture (Ports and Adapters)

Isolate business logic from infrastructure through ports (interfaces) and adapters (implementations).

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Architecture Patterns

What else does nWave-ai publish alongside Architecture Patterns?
Architecture Patterns is one of 25 skills that DirSkills catalogs from nWave-ai/nWave, the repository it ships in. Its siblings there include AT Completeness Check, Acceptance Test Critique Dimensions and Agent Creation Workflow. Each one is a separate skill with its own page in this directory, installs the same way Architecture Patterns does, and is maintained by nWave-ai in that same repository. The rest of the collection is listed on the nWave-ai/nWave page.
How does Architecture Patterns compare to other AI Engineering skills?
Architecture Patterns ranks #1933 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Architecture Patterns against them. Open each page to compare what they document and how they install.