analyze-code-structure

Testing & Quality

Examine code organization and identify structural patterns. Use when reviewing module design or understanding architecture.

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Analyze Code Structure

Examine code organization, dependencies, and architectural patterns to understand how modules are organized.

When to Use

Reviewing module design before implementation
Understanding how components connect
Identifying structural improvements needed
Planning refactoring strategies

Quick Reference

# Analyze Python file structure
python3 << 'EOF'
import ast
import sys

def analyze_structure(filepath):
    with open(filepath) as f:
        tree = ast.parse(f.read())

    classes = [n.name for n in ast.walk(tree) if isinstance(n, ast.ClassDef)]
    functions = [n.name for n in ast.walk(tree) if isinstance(n, ast.FunctionDef)]
    print(f"Classes: {classes}")
    print(f"Functions: {functions}")

analyze_structure(sys.argv[1])
EOF

Workflow

Identify module components: List classes, functions, and major imports
Map dependencies: Trace how modules import and reference each other
Analyze layers: Categorize code into logical layers (interface, business logic, persistence)
Document patterns: Note recurring architectural patterns (factory, singleton, observer)
Propose improvements: Identify coupling issues or missing separation of concerns

Output Format

Structured analysis report:

Component inventory (classes, functions, data structures)
Dependency graph (which modules import which)
Layer organization (presentation, business, data)
Design patterns identified
Recommendations for improvement

References

See CLAUDE.md > Modularity section for design principles
See identify-architecture skill for full architecture analysis
See CLAUDE.md > SOLID principles for structural best practices