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name: codebase-mapping description: Generate structured codebase maps with dependency graphs, file relationships, and architectural patterns. Use when exploring unfamiliar codebases or documenting project structure.

Codebase Mapping Skill

Purpose

Produce consistent, structured documentation of codebase organization.

When to Use

• Starting work on unfamiliar project
• Onboarding new team members
• Documenting architecture decisions
• Before major refactoring

Output Template

Use the template in templates/structure-report.md

Mapping Process

Step 1: Project Identification

Identify project type from configuration files:

• package.json → Node.js
• pyproject.toml / setup.py → Python
• go.mod → Go
• Cargo.toml → Rust
• pom.xml / build.gradle → Java

Step 2: Structure Analysis

Map directories to their purposes:

• src/ or lib/ → Source code
• tests/ or __tests__/ → Test files
• docs/ → Documentation
• scripts/ → Build/utility scripts
• config/ → Configuration files

Step 3: Dependency Graph

Create simplified dependency visualization:

CopyEntry Point
├── Core Module A
│   ├── Utility 1
│   └── Utility 2
├── Core Module B
│   └── External Lib
└── Shared Components

Step 4: Key Files

Identify and document:

• Entry points (main.ts, index.js, app.py)
• Configuration (tsconfig, eslint, etc.)
• Environment handling
• Build configuration

Storage Location

Save output to: docs/research/codebase-map-{date}.md