Architecture Review
Analyzes architectural designs for potential risks, inefficiencies, and adherence to best practices using AI-powered insights.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add oimiragieo-architecture-review npx -- -y @trustedskills/oimiragieo-architecture-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"oimiragieo-architecture-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/oimiragieo-architecture-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes architectural designs for potential risks, inefficiencies, and adherence to best practices using AI-powered insights. It systematically evaluates codebases by gathering context (project structure, dependencies, data flow), assessing design principles (SOLID, DRY, YAGNI, Separation of Concerns), checking for anti-patterns (God Class/Module, Spaghetti Code, Circular Dependencies), and evaluating non-functional requirements (Scalability, Maintainability, Security). Finally, it generates a structured review report summarizing findings, strengths, concerns, recommendations, and potential trade-offs.
When to use it
- When reviewing new architectural designs for a project.
- To proactively identify potential issues in existing codebases.
- During code reviews to provide more comprehensive feedback beyond basic syntax or logic errors.
- To assess the scalability and maintainability of specific service layers (e.g.,
src/services/). - When seeking suggestions for improving architectural patterns and reducing technical debt.
Key capabilities
- Architecture Context Gathering: Identifies project structure, key components, dependencies, and data flow.
- Design Principle Evaluation: Checks adherence to SOLID principles (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion), DRY, YAGNI, and Separation of Concerns.
- Anti-Pattern Detection: Identifies common anti-patterns like God Class/Module, Spaghetti Code, Circular Dependencies, and Leaky Abstractions.
- Non-Functional Requirement Assessment: Evaluates the architecture against requirements for Scalability, Maintainability, Testability, Security, Performance, and Observability.
- Report Generation: Creates a structured report with a summary, strengths, concerns (prioritized), recommendations, and trade-offs.
Example prompts
- "Review the architecture of
src/services/for scalability and maintainability." - "Analyze this codebase for SOLID principle violations."
- "Check this design for common anti-patterns like God Classes or Circular Dependencies."
Tips & gotchas
- The skill relies on understanding the project's structure, so providing clear context is crucial.
- Not all identified issues are equally important; prioritize based on your specific needs and constraints.
- Consider the trade-offs involved in architectural changes – the skill will attempt to highlight these as well.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.