codebase-mapping

Analyze unfamiliar codebases to map directory layout, entry points, dependencies, and data flows.

39|2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/hffmnnj/opencode-goopspec --skill codebase-mapping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codebase-mapping
Source: https://github.com/hffmnnj/opencode-goopspec/tree/main/skills/codebase-mapping
Command: npx skills add https://github.com/hffmnnj/opencode-goopspec --skill codebase-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebases, especially large ones, are hard to understand and maintain. This skill provides a structured method to build a mental model of an unfamiliar project by mapping structure, entry points, and key patterns.

Core Features & Use Cases

  • Directory structure summary and main module discovery
  • Entry point identification and data flow tracing
  • Dependency and pattern documentation for onboarding new contributors
  • Use Case: A new engineer joins a monorepo and needs a quick map of critical modules and interfaces to start contributing.

Quick Start

Start by loading the repository, run a quick top-level pass to identify top-level folders, entry points, and package.json or requirements.txt files, then generate a summary report.

Frequently Asked Questions about codebase-mapping

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

FAQPage Schema
How do I quickly understand the structure of an unfamiliar codebase?

Map your codebase by analyzing directory layout, identifying entry points, and tracing key dependencies. This structured approach builds a mental model of how modules connect and data flows through the system, accelerating onboarding and reducing ramp-up time for new contributors.

Can I use codebase mapping for monorepos and multi-language projects?

Yes. Codebase mapping works across monorepos, multi-language stacks, and new projects by identifying top-level folders, entry points, and package managers regardless of language. It generates consistent architecture documentation that applies to diverse project structures.

What output does a codebase analysis produce?

Codebase analysis generates a directory map, inventory of key files, architecture notes documenting patterns and conventions, dependency relationships, and recommended next steps for exploration—all structured to help new engineers contribute immediately.

How do I identify entry points and data flows in a large project?

Start by locating package.json, requirements.txt, or equivalent manifest files, then trace how data moves between modules from entry points inward. Documentation of these flows reveals critical interfaces and dependencies that define the system's core behavior.

What's the best way to document a codebase for team onboarding?

Map the codebase structure, entry points, and key patterns into a concise reference document. This structured inventory—directory layout, module responsibilities, and conventions—becomes onboarding material that new contributors use to navigate and contribute independently.