explore-codebase

Orient in an unfamiliar codebase by tracing entry points, modules, and one end-to-end path.

2|Updated Jul 18, 2026
One-click install
npx skills add https://github.com/Arasz/ai-badger --skill explore-codebase-arasz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explore-codebase
Source: https://github.com/Arasz/ai-badger/tree/main/features/common/skills/explore-codebase
Command: npx skills add https://github.com/Arasz/ai-badger --skill explore-codebase-arasz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Arriving at an unfamiliar repository often leads to reading files in search-result order and mistaking that for understanding. This Skill provides a structured orientation workflow that establishes the codebase's shape, real module boundaries, entry points, and one traced execution path before any deep reading begins. ## Core Features & Use Cases - Structured six-step orientation: measure size and languages, find real module boundaries via imports, read entry points, trace one path end to end, locate its tests, and record findings. - Tool-agnostic with acceleration paths: every step has a baseline using git, grep, and manifests, plus an accelerated variant for code-graph servers (e.g. architecture-overview or flow queries). - Red-flag guardrails: explicit stop conditions prevent describing architecture from directory names, skipping the traced path, or treating generated code as authored. - Use Case: A developer joins a new project and asks "walk me through the architecture" — the Skill produces a written orientation naming entry points, one traced request path, its tests, and the regions left unread. ## Quick Start Ask the agent to help you understand this repository and walk you through its architecture using the explore-codebase workflow.

Frequently Asked Questions about explore-codebase

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

FAQPage Schema
How do I understand an unfamiliar codebase quickly?

Start with the shape, not the content: count files and languages, read the manifest for declared dependencies and entry points, then trace one real request or command from entry point to persistence. One traced path teaches more than ten skimmed files.

How to find the real module boundaries in a repository?

Check the top-level directory tree against actual imports rather than trusting directory names. A directory whose files import mostly from one other directory is one module wearing two names; graph architecture-overview calls can cluster by real coupling.

When should I use codebase exploration instead of debugging?

Use exploration when the question is what is here and how it is arranged, such as onboarding or architecture walkthroughs. For tracing one symptom to its cause use a debugging skill, and for judging a diff use a code review skill.

Does codebase exploration require a code graph server?

No, every step has a baseline using standard tools: git ls-files, cloc, grep for route decorators and main functions, and the project manifest. A graph server only accelerates steps like architecture overviews and flow queries.

What should a codebase orientation produce when finished?

A finished orientation names the entry points, one traced end-to-end path, where that path's tests live, and explicitly which regions were left unread. An exploration with no written artifact has to be repeated by the next person.