| 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.jspyproject.toml/setup.py→ Pythongo.mod→ GoCargo.toml→ Rustpom.xml/build.gradle→ Java
Step 2: Structure Analysis
Map directories to their purposes:
src/orlib/→ Source codetests/or__tests__/→ Test filesdocs/→ Documentationscripts/→ Build/utility scriptsconfig/→ Configuration files
Step 3: Dependency Graph
Create simplified dependency visualization:
Entry 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