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architecture-analyzer

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Architecture Analyzer Skill

Analyzes and visualizes software architecture patterns and dependencies to support migration planning, module boundary identification, and architectural decision-making.

Purpose

Enable comprehensive architecture analysis for:

  • Component dependency mapping
  • Layered architecture detection
  • Coupling and cohesion metrics
  • Architectural violation detection
  • Module boundary identification
  • Dependency graph generation

Capabilities

1. Component Dependency Mapping

  • Extract dependencies between modules/packages
  • Map inter-service communications
  • Identify external system integrations
  • Track data flow between components
  • Generate dependency matrices

2. Layered Architecture Detection

  • Identify architectural layers (presentation, business, data)
  • Detect layer violations
  • Map cross-cutting concerns
  • Analyze layer dependencies
  • Validate architectural patterns

3. Coupling/Cohesion Metrics

  • Calculate afferent coupling (Ca)
  • Calculate efferent coupling (Ce)
  • Compute instability index (I = Ce / (Ca + Ce))
  • Measure module cohesion
  • Identify highly coupled components

4. Architectural Violation Detection

  • Detect circular dependencies between modules
  • Identify layer bypassing
  • Find direct database access from UI layers
  • Check for proper abstraction usage
  • Validate dependency rules

5. Module Boundary Identification

  • Detect logical module groupings
  • Identify bounded contexts
  • Map shared kernel areas
  • Analyze module interfaces
  • Suggest decomposition boundaries

6. Dependency Graph Generation

  • Generate DOT format graphs
  • Create Mermaid diagrams
  • Export to PlantUML
  • Produce interactive visualizations
  • Support multiple granularity levels

Tool Integrations

This skill can leverage the following external tools when available:

ToolPurposeIntegration Method
Structure101Architecture visualizationExport analysis
LattixDependency analysisCLI / API
NDepend.NET architecture analysisCLI
JDependJava package dependenciesCLI
MadgeJavaScript/TypeScriptCLI
deptreePython dependenciesCLI
go-arch-lintGo architectureCLI
ast-grepPattern matchingMCP Server

Usage

Basic Analysis

# Invoke skill for architecture analysis
# The skill will analyze structure and dependencies

# Expected inputs:
# - targetPath: Path to codebase root
# - analysisDepth: 'module' | 'package' | 'class' | 'function'
# - outputFormat: 'json' | 'dot' | 'mermaid' | 'plantuml'
# - includeMetrics: boolean

Analysis Workflow

  1. Discovery Phase

    • Identify project structure
    • Detect build configuration
    • Map source directories
  2. Extraction Phase

    • Parse import/require statements
    • Extract module dependencies
    • Identify external dependencies
  3. Analysis Phase

    • Calculate coupling metrics
    • Detect architectural patterns
    • Identify violations
    • Map boundaries
  4. Visualization Phase

    • Generate dependency graphs
    • Create architecture diagrams
    • Produce metric reports

Output Schema

{
  "analysisId": "string",
  "timestamp": "ISO8601",
  "target": {
    "path": "string",
    "language": "string",
    "moduleCount": "number",
    "totalFiles": "number"
  },
  "architecture": {
    "pattern": "string (layered|modular|monolithic|microservices)",
    "layers": [
      {
        "name": "string",
        "modules": ["string"],
        "allowedDependencies": ["string"]
      }
    ],
    "boundedContexts": [
      {
        "name": "string",
        "modules": ["string"],
        "interfaces": ["string"]
      }
    ]
  },
  "modules": [
    {
      "name": "string",
      "path": "string",
      "files": "number",
      "linesOfCode": "number",
      "dependencies": ["string"],
      "dependents": ["string"],
      "metrics": {
        "afferentCoupling": "number",
        "efferentCoupling": "number",
        "instability": "number",
        "cohesion": "number"
      }
    }
  ],
  "dependencies": [
    {
      "from": "string",
      "to": "string",
      "type": "import|call|inherit|implement",
      "count": "number"
    }
  ],
  "violations": [
    {
      "type": "circular|layer-bypass|abstraction-leak",
      "severity": "high|medium|low",
      "from": "string",
      "to": "string",
      "description": "string",
      "recommendation": "string"
    }
  ],
  "metrics": {
    "averageCoupling": "number",
    "maxCoupling": "number",
    "cyclomaticComplexity": "number",
    "circularDependencies": "number",
    "layerViolations": "number"
  },
  "graphs": {
    "dot": "string (file path)",
    "mermaid": "string (file path)",
    "plantuml": "string (file path)"
  }
}

Integration with Migration Processes

This skill integrates with the following Code Migration/Modernization processes:

  • legacy-codebase-assessment: Architecture understanding
  • monolith-to-microservices: Service boundary identification
  • migration-planning-roadmap: Dependency-based planning
  • code-refactoring: Coupling reduction targets

Configuration

Skill Configuration File

Create .architecture-analyzer.json in the project root:

{
  "analysisDepth": "module",
  "excludePaths": [
    "node_modules",
    "vendor",
    "dist",
    "build",
    ".git",
    "__tests__"
  ],
  "modulePatterns": {
    "javascript": "src/*",
    "java": "src/main/java/**",
    "python": "src/*"
  },
  "layers": {
    "enabled": true,
    "definitions": [
      {
        "name": "presentation",
        "patterns": ["**/ui/**", "**/views/**", "**/controllers/**"],
        "allowedDependencies": ["business", "shared"]
      },
      {
        "name": "business",
        "patterns": ["**/services/**", "**/domain/**"],
        "allowedDependencies": ["data", "shared"]
      },
      {
        "name": "data",
        "patterns": ["**/repositories/**", "**/dao/**"],
        "allowedDependencies": ["shared"]
      },
      {
        "name": "shared",
        "patterns": ["**/common/**", "**/utils/**"],
        "allowedDependencies": []
      }
    ]
  },
  "rules": {
    "maxCoupling": 10,
    "maxModuleSize": 5000,
    "forbiddenDependencies": [
      {"from": "presentation", "to": "data"}
    ]
  },
  "visualization": {
    "formats": ["mermaid", "dot"],
    "groupBy": "layer",
    "showMetrics": true
  }
}

MCP Server Integration

When ast-grep MCP Server is available for pattern detection:

// Example architecture pattern detection
{
  "tool": "ast_grep_search",
  "arguments": {
    "pattern": "import { $_ } from '../data/$_'",
    "language": "typescript",
    "path": "./src/ui"
  }
}

Architectural Patterns

Layered Architecture

┌─────────────────────────────────┐
│      Presentation Layer         │
│  (UI, Controllers, Views)       │
└──────────────┬──────────────────┘
               │
┌──────────────▼──────────────────┐
│       Business Layer            │
│  (Services, Domain, Logic)      │
└──────────────┬──────────────────┘
               │
┌──────────────▼──────────────────┐
│         Data Layer              │
│  (Repositories, DAOs, ORM)      │
└─────────────────────────────────┘

Modular Monolith

┌─────────────────────────────────────────────┐
│              Application Shell               │
├───────────┬───────────┬───────────┬─────────┤
│  Module A │  Module B │  Module C │ Shared  │
│  ┌─────┐  │  ┌─────┐  │  ┌─────┐  │ ┌─────┐ │
│  │ UI  │  │  │ UI  │  │  │ UI  │  │ │Utils│ │
│  ├─────┤  │  ├─────┤  │  ├─────┤  │ └─────┘ │
│  │Logic│  │  │Logic│  │  │Logic│  │         │
│  ├─────┤  │  ├─────┤  │  ├─────┤  │         │
│  │Data │  │  │Data │  │  │Data │  │         │
│  └─────┘  │  └─────┘  │  └─────┘  │         │
└───────────┴───────────┴───────────┴─────────┘

Microservices (Target)

┌─────────┐  ┌─────────┐  ┌─────────┐
│Service A│  │Service B│  │Service C│
│  ┌───┐  │  │  ┌───┐  │  │  ┌───┐  │
│  │API│  │  │  │API│  │  │  │API│  │
│  └─┬─┘  │  │  └─┬─┘  │  │  └─┬─┘  │
│    │    │  │    │    │  │    │    │
│  ┌─▼─┐  │  │  ┌─▼─┐  │  │  ┌─▼─┐  │
│  │DB │  │  │  │DB │  │  │  │DB │  │
│  └───┘  │  │  └───┘  │  │  └───┘  │
└─────────┘  └─────────┘  └─────────┘
      │            │            │
      └────────────┼────────────┘
                   │
            ┌──────▼──────┐
            │  Event Bus  │
            └─────────────┘

Metrics Reference

Coupling Metrics

MetricFormulaGoodWarningBad
Afferent Coupling (Ca)Incoming dependencies< 1010-20> 20
Efferent Coupling (Ce)Outgoing dependencies< 1010-20> 20
Instability (I)Ce / (Ca + Ce)0-0.3 or 0.7-1.00.3-0.7-
Abstractness (A)Abstract classes / TotalContext dependent--

Distance from Main Sequence

D = |A + I - 1|

  • D = 0: Ideal (on the main sequence)
  • D > 0.3: Warning
  • D > 0.5: Problematic

Best Practices

  1. Regular Analysis: Run architecture analysis as part of CI/CD
  2. Define Boundaries: Explicitly define module and layer boundaries
  3. Enforce Rules: Use architectural fitness functions
  4. Document Decisions: Use ADRs for architectural changes
  5. Track Metrics: Monitor coupling trends over time
  6. Visualize: Keep architecture diagrams up to date

Related Skills

  • static-code-analyzer: Code-level analysis
  • domain-model-extractor: DDD boundary identification
  • technical-debt-quantifier: Architecture debt assessment

Related Agents

  • legacy-system-archaeologist: Uses this skill for architecture discovery
  • microservices-decomposer: Uses this skill for boundary identification
  • ddd-analyst: Uses this skill for context mapping
  • migration-readiness-assessor: Uses this skill for architecture evaluation

References

Source

git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/specializations/code-migration-modernization/skills/architecture-analyzer/SKILL.mdView on GitHub

Overview

Architecture Analyzer assesses codebases to map component dependencies, detect layered patterns, measure coupling, and identify module boundaries. It supports migration planning by generating dependency graphs and architectural reports that guide refactoring decisions.

How This Skill Works

The tool performs Discovery to identify project structure, then Extraction of imports/requirements and external dependencies, followed by Analysis to compute coupling metrics, detect patterns, and locate violations. Finally, Visualization produces DOT, Mermaid, PlantUML diagrams, and interactive views, with optional metric reports to support architectural decisions.

When to Use It

  • Plan migration from a monolith to microservices by mapping module boundaries and dependencies.
  • Identify bounded contexts and layering issues to guide architectural refactoring.
  • Generate dependency graphs at multiple granularity levels for large codebases.
  • Detect architectural violations such as circular dependencies or direct UI-to-DB access.
  • Validate migration decisions with metrics like Ca, Ce, and instability to prioritize decoupling efforts.

Quick Start

  1. Step 1: Provide inputs such as targetPath, analysisDepth (module/package/class/function), outputFormat (json/dot/mermaid/plantuml), and includeMetrics (true/false).
  2. Step 2: Run the Discovery, Extraction, and Analysis phases to collect structure, dependencies, and metrics.
  3. Step 3: Generate visuals and reports (dependency graphs, architecture diagrams, metric summaries) for review.

Best Practices

  • Define the target architecture first (e.g., microservices vs. layered) before running analysis.
  • Analyze at multiple granularity levels (module, package, class) to reveal hidden boundaries.
  • Combine coupling metrics with boundary identification to prioritize decoupling work.
  • Integrate the generated graphs with stakeholder reviews using DOT/Mermaid/PlantUML.
  • Regularly re-run analyses during migration to track progress and detect regressions.

Example Use Cases

  • A Java monolith migrated to microservices by identifying bounded contexts and extracting independent services based on dependency graphs.
  • A TS/Node project used dependency graphs to reveal circular dependencies and removed an unstable core layer to improve maintainability.
  • A web app’s UI-layer was checked for direct DB access; architecture analyzer flagged violations and suggested proper abstraction layers.
  • A Go project leveraged layered architecture detection to validate cross-cutting concerns and boundaries before deployment.
  • A multi-service platform generated Mermaid diagrams to communicate architecture changes to non-technical stakeholders.

Frequently Asked Questions

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