homericintelligence/projectscylla/analyze-code-structure

Analyze Code Structure

Examine code organization, module hierarchy, and structural patterns to understand how components are organized.

When to Use

• Initial codebase review and orientation
• Understanding existing module organization
• Identifying code structure for documentation
• Planning refactoring or reorganization

Quick Reference

# Quick code structure analysis
find . -name "*.py" -o -name "*.mojo" | head -20
tree -L 2 --dirsfirst
grep -r "^class\|^def\|^fn\|^struct" --include="*.py" --include="*.mojo" | head -30

Workflow

1. Survey the codebase: Identify top-level modules and packages
2. Map module hierarchy: Create visual tree of module organization
3. List main components: Classes, structs, major functions
4. Trace imports: Understand module dependencies
5. Document findings: Summarize structure for team

Output Format

Structure analysis:

• Module/package hierarchy (tree view)
• Key components per module
• Import dependencies
• Layer organization (if applicable)
• Notable patterns (MVC, singleton, factory, etc.)

References

• See analyze-code-structure tier-2 skill for deeper analysis
• See CLAUDE.md > Modularity for design principles
• See identify-architecture skill for ML-specific structure