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Architecture

  • 29 installs
  • 466 repo stars
  • Updated July 25, 2026
  • managedcode/dotnet-skills

Helps with ai & agent building tasks.

About

architecture is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • architecture
  • AI & Agent Building
  • AI-coding skill

Architecture by the numbers

  • 29 all-time installs (skills.sh)
  • +2 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #9,369 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/managedcode/dotnet-skills --skill architecture

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Listed on Skillselion
Installs29
repo stars466
Last updatedJuly 25, 2026
Repositorymanagedcode/dotnet-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

.NET Architecture

Trigger On

  • choosing architecture for a new or evolving .NET system
  • reviewing layer boundaries, domain boundaries, or service decomposition
  • deciding whether clean architecture, vertical slices, CQRS, or microservices are justified

Workflow

1. Start from business capability boundaries and change frequency, not from a preferred diagram style. 2. Use simple modular monolith patterns by default, and move to microservices only when team autonomy, scale, or deployment boundaries justify the added operational cost. 3. Apply DDD and CQRS where business rules are genuinely complex; avoid forcing aggregates and command pipelines into CRUD-heavy code with no payoff. 4. Keep dependencies flowing inward when using clean architecture, but avoid creating extra projects that add ceremony without ownership clarity. 5. Make integration boundaries explicit: contracts, storage ownership, messaging, consistency model, and observability expectations. 6. Use aspire when local orchestration, service discovery, and developer observability are part of the architecture story.

Deliver

  • an architecture direction that matches system complexity
  • clear project and dependency boundaries
  • migration notes or tradeoffs when changing an existing structure

Validate

  • the proposed structure reduces rather than increases accidental complexity
  • data ownership and integration paths are explicit
  • the architecture is testable and operable, not just diagram-friendly

References

  • references/patterns.md - detailed implementations of Clean Architecture, Vertical Slices, DDD, CQRS, Modular Monolith, and Microservices with C# 12+ examples
  • references/anti-patterns.md - common architectural mistakes including over-abstraction, anemic domain models, premature microservices, and cargo cult patterns

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