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Architecture review

Skill viknesh20-20/claude-code-tool-kit/.claude/skills/architecture-review

Production-ready Claude Code configuration. 12 original agents, 200+ slash-command skills, 45+ MCP servers, 14 plugins, design + 3D + WebGPU + GSAP + RAG tooling. One-command Node.js installer for premium websites, SaaS apps, AI agents. Free, MIT, stack-agnostic.

Install
npx -y skills add viknesh20-20/claude-code-tool-kit --skill architecture-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Reviews the system architecture for structural issues, dependency cycles, layer violations, scalability concerns, and single points of failure. Use for periodic health checks or before major new features.

SKILL.md

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Architecture Review

Project Structure

!find . -type f -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/vendor/*" -not -path "*/__pycache__/*" -not -path "*/target/*" -not -path "*/bin/*" -not -path "*/obj/*" -not -path "*/.next/*" -not -path "*/dist/*" -not -path "*/build/*" 2>/dev/null | head -80

Directory Layout

!tree -L 3 -I "node_modules|.git|vendor|__pycache__|target|bin|obj|.next|dist|build" 2>/dev/null || find . -type d -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/vendor/*" -maxdepth 3 2>/dev/null

Package/Module Config

!cat package.json go.mod Cargo.toml pyproject.toml requirements.txt *.csproj pom.xml 2>/dev/null | head -60


Review Areas

1. Project Structure & Organization

  • Is the directory layout clear and consistent?
  • Does it follow established conventions for the stack? (e.g., src/, app/, lib/, pkg/)
  • Are related files co-located or scattered?
  • Is there a clear entry point?

2. Dependency Architecture

  • Map the dependency graph between major modules/packages
  • Identify circular dependencies — modules that import each other
  • Check for layer violations — e.g., presentation layer importing directly from data layer
  • Look for god modules — modules that everything depends on
  • Assess coupling: can modules be changed independently?

3. Separation of Concerns

  • Is business logic separated from framework/transport code?
  • Are side effects (I/O, network, database) isolated at boundaries?
  • Is configuration separated from code?
  • Are there clear interfaces between layers?

4. Scalability Considerations

  • Stateless vs stateful components — which components hold state?
  • Are there bottlenecks that would fail under load?
  • Database query patterns — are they efficient at scale?
  • Caching strategy — what is cached, where, and when invalidated?
  • Background job handling — how are long-running tasks managed?

5. Reliability & Resilience

  • Single points of failure: What happens if any component goes down?
  • Error boundaries: Where do errors propagate, and are they caught?
  • Retry logic: For external service calls, is there retry with backoff?
  • Graceful degradation: Does the system handle partial failures?
  • Health checks: Are there endpoints or mechanisms to monitor health?

6. Security Architecture

  • Authentication and authorization boundaries
  • Where is input validation enforced?
  • How are secrets managed?
  • API rate limiting and abuse prevention

Output Format

Architecture Diagram (ASCII)

┌─────────┐     ┌─────────┐     ┌──────────┐
│ Frontend │────▶│   API   │────▶│ Database │
└─────────┘     └─────────┘     └──────────┘
                     │
                     ▼
               ┌───────────┐
               │  External  │
               │  Services  │
               └───────────┘

Findings Table

#AreaFindingSeverityRecommendation

Top Recommendations

Prioritized list of the most impactful architectural improvements.

Overall Health

Rate: Healthy / Needs Attention / At Risk — with reasoning.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.