codebase-mappinglisted

# Codebase Mapping Maps repository structure and dependencies to enable targeted architectural analysis. ## Quick Start Generate a structural map: ```bash python scripts/map_codebase.py /path/to/repo --output structure.json ``` ## Process 1. **Clone or access** the target repository 2. **Generate file tree** excluding noise (node_modules, __pycache__, .git, etc.) 3. **Parse imports** to build dependency graph 4. **Identify entry points** (main.py, index.ts, setup.py, pyproject.toml) 5. **Detect boundaries** - package structure and public APIs ## Output Artifacts The skill produces: - `file_tree.txt` - Annotated directory structure - `dependencies.json` - Import graph in adjacency list format - `entry_points.md` - Identified entry points with descriptions - `module_map.md` - Package boundaries and public interfaces ## Key Patterns to Identify ### Entry Point Detection Look for these patterns: - Python: `if __name__ == "__main__"`, `setup.py`, `pyproject.toml` - Node: `package.json` main/bin fields, `index.js` - Frameworks: `app.py` (Flask), `manage.py` (Django), `main.ts` (Nest) ### Dependency Classification Classify imports as: - **External**: Third-party packages (from package manager) - **Internal**: Project modules (relative imports) - **Standard**: Language standard library ### Noise Exclusion Always exclude: ``` node_modules/ __pycache__/ .git/ .venv/ venv/ dist/ build/ *.egg-info/ .mypy_cache/ .pytest_cache/ ``` ## Integration with Other Skills This