repo-onboarding-map

Map repository structure, entry points, data flow, and module boundaries.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/KirillKlem/codex-skills --skill repo-onboarding-map
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repo-onboarding-map
Source: https://github.com/KirillKlem/codex-skills/tree/main/skills/repo-onboarding-map
Command: npx skills add https://github.com/KirillKlem/codex-skills --skill repo-onboarding-map

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users build a mental model of a new or unfamiliar repository, creating a concise, reusable repository map.

Core Features & Use Cases

  • Repository Mapping: Identifies entry points, data flow, module boundaries, test surface, risky areas, and important invariants.
  • Mental Model Creation: Provides a high-level view of the repository structure for efficient onboarding and planning.
  • Use Case: When onboarding into a new codebase, use this Skill to understand the structure and main execution paths before starting implementation.

Quick Start

To create a repository map for the current project, run the 'repo-onboarding-map' command.

Frequently Asked Questions about repo-onboarding-map

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

FAQPage Schema
How do I quickly understand a new codebase and repository structure?

To understand a new codebase repository structure, you can map entry points, data flow, module boundaries, and test surfaces. This creates a high-level mental model for efficient onboarding and planning before starting implementation.

What is the best way to map repository structure and identify module boundaries?

Mapping repository structure involves identifying entry points, data flow, module boundaries, and important invariants. This approach provides a concise, reusable repository map to help you navigate unfamiliar code efficiently.

How do I identify risky areas and important invariants in an unfamiliar repository?

Identifying risky areas and important invariants in an unfamiliar repository is part of structural mapping. It highlights critical execution paths and constraints to ensure safe onboarding and implementation planning.

Can I use repository mapping to understand test surfaces and data flow?

Yes, repository mapping identifies the test surface and traces data flow alongside module boundaries. This provides a high-level view of the structural components and execution paths for efficient onboarding.

When do I need to create a mental model of a repository?

You need to create a mental model of a repository when onboarding into a new codebase or needing a high-level understanding of its structure. It helps you understand main execution paths before starting implementation.

What are the limitations of mapping a repository structure for onboarding?

Mapping a repository structure for onboarding provides a high-level view of entry points and module boundaries but may not cover low-level implementation details. It is designed for initial understanding rather than deep architectural refactoring.