Codebase Mapper

Build a local knowledge graph mapping function dependencies and module relationships.

10|4|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/5unnykum4r/grip-ai --skill codebase-mapper-5unnykum4r
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Codebase Mapper
Source: https://github.com/5unnykum4r/grip-ai/tree/main/grip/skills/builtin/codebase-mapper
Command: npx skills add https://github.com/5unnykum4r/grip-ai --skill codebase-mapper-5unnykum4r

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers understand the intricate relationships within a codebase, identifying function dependencies, module connections, and the potential ripple effects of code changes, thereby reducing the risk of introducing bugs during refactoring or migration.

Core Features & Use Cases

  • Dependency Graphing: Visualizes how different modules and functions interact.
  • Impact Analysis: Predicts which parts of the codebase will be affected by a change.
  • Architectural Pattern Detection: Identifies issues like circular dependencies or god modules.
  • Use Case: Before refactoring a core utility function, use this Skill to see exactly which other files and functions rely on it, ensuring no critical components are overlooked.

Quick Start

Use the codebase mapper skill to analyze the dependencies in the current project.

Frequently Asked Questions about Codebase Mapper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map codebase dependencies for impact analysis before refactoring?

You can map codebase dependencies by building a local knowledge graph of function and module relationships to predict the ripple effects of code changes. This impact analysis reduces the risk of introducing bugs during refactoring.

Does dependency analysis work with TypeScript and Go projects?

Yes, dependency analysis supports Python, TypeScript, JavaScript, and Go projects. It maps module connections and function interactions across these languages to identify architectural issues.

What is the best way to detect circular dependencies in a software codebase?

The best way to detect circular dependencies is by using architectural pattern detection on a codebase dependency graph. This identifies structural issues like circular dependencies and god modules to improve code quality.

How do I visualize module relationships and ripple effects of code changes?

You can visualize module relationships and ripple effects through various output formats like text summaries, dependency trees, and risk heatmaps. These visualizations map how different functions interact.

Can I update the dependency graph incrementally after changing my code?

Yes, the dependency graph supports incremental updates after you change your code. This allows you to continuously track module connections and ripple effects without rebuilding the entire codebase map.

What are the limitations of codebase mapping for architectural pattern detection?

Codebase mapping is limited to analyzing function dependencies, module relationships, and ripple effects in Python, TypeScript, JavaScript, and Go. It focuses on structural code quality rather than runtime behavior or execution paths.