smithery.ai

codebase-mapping

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

First seen Apr 21, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,593 B
  • docs SUMMARY.md 203 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

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](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:

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