explore-codebase

Map codebase structure and trace dependencies using grep and glob.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/Ayub-Khan/immortal_agent_swarm --skill explore-codebase-ayub-khan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explore-codebase
Source: https://github.com/Ayub-Khan/immortal_agent_swarm/tree/main/.agents/skills/explore-codebase
Command: npx skills add https://github.com/Ayub-Khan/immortal_agent_swarm --skill explore-codebase-ayub-khan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fast, systematic codebase exploration for understanding architecture, dependencies, and project structure.

Core Features & Use Cases

  • Top-down architecture discovery to identify main modules and entry points.
  • Bottom-up code search with grep and glob to locate definitions, calls, and configuration files.
  • Documentation-driven exploration that records findings and maps relationships (dependencies, call graphs).

Quick Start

Begin by mapping the project structure with ls and tree, then locate entry points and trace module relationships using grep and glob patterns.

Frequently Asked Questions about explore-codebase

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

FAQPage Schema
How do I navigate an unfamiliar codebase and understand its architecture quickly?

Codebase exploration maps project structure and dependencies to speed understanding. You identify entry points, trace module relationships, and document findings for rapid onboarding to unfamiliar repositories or large monorepos.

What's the best way to find entry points and trace dependencies in a large monorepo?

Tracing dependencies in a large monorepo starts by mapping the project structure with ls and tree, then locating entry points and tracing module relationships using grep and glob patterns to build a clear architecture map.

Can I use grep and glob to map call graphs in legacy projects?

Yes, grep and glob support bottom-up code search to locate definitions, calls, and configuration files in legacy projects. This enables call graph tracing and dependency mapping to reconstruct undocumented architecture.

When do I need systematic codebase exploration instead of ad hoc searching?

Systematic codebase exploration is needed when onboarding to unfamiliar repositories, navigating large monorepos, or understanding legacy projects where architecture and dependencies are unclear and require structured mapping and documentation.

Does this approach work for both top-down architecture discovery and bottom-up code search?

Yes, the approach supports top-down architecture discovery to identify main modules and entry points, as well as bottom-up code search with grep and glob to locate specific definitions, calls, and configuration files across the codebase.

What are the limitations of codebase exploration for understanding project structure?

Codebase exploration relies on grep and glob patterns to map structure and dependencies, so projects with heavy metaprogramming or dynamic code generation may produce incomplete architecture maps. Findings require manual documentation for future reference.