Codebase Mapper

Codebase Structure Mapper

Deterministically parse Python, C#, and TypeScript codebases to extract structural maps (namespaces, classes, methods, inheritance, dependencies) and output a concise, token-efficient architecture section for CLAUDE.md.

Why This Skill?

• Zero AI tokens for parsing — Pure script execution using AST parsers
• Deterministic & repeatable — Same code = same output, version-controllable
• Token-efficient output — Compact format optimized for LLM consumption
• Marker-based updates — Preserves hand-written CLAUDE.md sections

Workflow

Phase 1: DETECT

Identify Project Languages

Scan for language indicators:

# Count files by type
find . -name "*.py" -type f | wc -l
find . -name "*.cs" -type f | wc -l
find . -name "*.ts" -o -name "*.tsx" -type f | wc -l

Identify Source Roots

Look for common source directory patterns:

• Python: src/, app/, <project_name>/
• C#: src/, solution folder structure from .sln
• TypeScript: src/, lib/, app/

Phase 2: PARSE

Run the appropriate mapper scripts based on detected languages.

Python Projects

python scripts/map_python.py --root ./src --output /tmp/map_python.md

What it extracts:

• Modules and packages
• Classes with base classes
• Public methods and their signatures
• Key decorators (@app.route, @property, @staticmethod)
• Module-level functions
• Import dependencies (FastAPI, Django, Flask, SQLAlchemy detection)

C# Projects

python scripts/map_csharp.py --root ./src --output /tmp/map_csharp.md

What it extracts:

• Namespaces
• Classes, interfaces, enums, records
• Inheritance and interface implementations
• Public methods and properties
• Key attributes ([ApiController], [HttpGet], [Authorize])
• Using statements for dependency detection

TypeScript Projects

python scripts/map_typescript.py --root ./src --output /tmp/map_typescript.md

What it extracts:

• Modules and exports
• Classes with inheritance
• Interfaces and types
• Functions (exported and module-level)
• React components (function and class-based)
• Key decorators (Angular @Component, @Injectable, etc.)

Phase 3: MERGE

Use the update script to merge maps into CLAUDE.md:

python scripts/update_claude_md.py \
  --claude-md ./CLAUDE.md \
  --maps /tmp/map_python.md /tmp/map_csharp.md /tmp/map_typescript.md

Marker System

The script uses markers to preserve hand-written sections:

<!-- CODEBASE-MAP:AUTO-START -->
## Architecture Map

[Auto-generated content here]
<!-- CODEBASE-MAP:AUTO-END -->

• If markers exist: Replace content between them
• If no markers: Append after ## Project Context section
• Hand-written sections outside markers are preserved

Phase 4: REPORT

Display summary:

Codebase Map Generated
======================
Languages: Python, C#
Files scanned: 142
Classes mapped: 47
Methods mapped: 312

Output added to CLAUDE.md
Token estimate: ~450 tokens

Markers: <!-- CODEBASE-MAP:AUTO-START/END -->
Re-run this skill anytime to update.

Output Format

Compact, scannable format optimized for LLM consumption:

<!-- CODEBASE-MAP:AUTO-START -->
## Architecture Map

### Python: src/
- `api/` — FastAPI REST endpoints
  - `routes/users.py`: `UserRouter` → get_user(), create_user(), update_user()
  - `routes/orders.py`: `OrderRouter` → list_orders(), create_order()
- `models/` — SQLAlchemy ORM models
  - `user.py`: `User(Base)` — id, email, name, created_at
  - `order.py`: `Order(Base)` — id, user_id, total, status

### C#: src/MyApp/
- `MyApp.Api` — ASP.NET Core Web API
  - `Controllers/UserController.cs`: `UserController : ControllerBase` → Get(), Post(), Put()
- `MyApp.Core` — Domain models and interfaces
  - `Models/User.cs`: `User` — Id, Email, Name, CreatedAt
  - `Interfaces/IUserRepository.cs`: `IUserRepository` → GetByIdAsync(), CreateAsync()

### TypeScript: src/
- `components/` — React components
  - `UserCard.tsx`: `UserCard` (FC) — props: user, onSelect
  - `OrderList.tsx`: `OrderList` (FC) — props: orders, loading
- `services/` — API clients
  - `userService.ts`: fetchUser(), createUser(), updateUser()
<!-- CODEBASE-MAP:AUTO-END -->

Configuration Options

Depth Control

Control output verbosity via --depth flag:

python scripts/map_python.py --root ./src --depth classes

Exclusions

Exclude directories via --exclude:

python scripts/map_python.py --root ./src --exclude tests,migrations,__pycache__

Default exclusions: node_modules, bin, obj, .git, __pycache__, venv, .venv

Integration with /ai-plugins-and-skills-init

This skill can be invoked automatically during /ai-plugins-and-skills-init:

1. After CLAUDE.md is generated, user is asked: "Generate codebase architecture map?"
2. If yes, this skill runs and inserts the map section
3. The map updates whenever this skill is re-run

To manually invoke after init:

Using the codebase-mapper skill, generate an architecture map for this project

Script Locations

Scripts are located in scripts/ relative to this skill:

All scripts use Python stdlib only (no external dependencies).

Troubleshooting

"No source files found"

• Verify source root directory is correct
• Check that file extensions match expected patterns

"CLAUDE.md not found"

• Run /ai-plugins-and-skills-init first to create CLAUDE.md
• Or specify path: --claude-md ./path/to/CLAUDE.md

"Parse errors in file X"

• Script continues on parse errors, logs warning
• Check for syntax errors in source file
• Non-UTF8 files are skipped with warning

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