repo-understanding

Generate codebase summaries with module maps, entry points, and data flows.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/nist0/CoDev --skill repo-understanding-nist0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repo-understanding
Source: https://github.com/nist0/CoDev/tree/main/.github/skills/repo-understanding
Command: npx skills add https://github.com/nist0/CoDev --skill repo-understanding-nist0

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a navigable codebase summary, including module maps, entry points, key data flows, dependency overview, and doc structure, helping developers understand and navigate complex codebases efficiently.

Core Features & Use Cases

  • Module Map Generation: Creates a structured overview of the codebase's modules and their purposes.
  • Entry Points Identification: Locates the starting points of execution, such as application entry points and HTTP handlers.
  • Data Flow Tracing: Traces key data flows through the codebase, including user-facing flows and system interactions.
  • Dependency Overview: Identifies key dependencies like HTTP, ORM/DB, Auth, Messaging, and Observability libraries.
  • Risk Areas Identification: Highlights areas of high coupling, side-effect heavy code, test coverage gaps, and outdated patterns.
  • Summary Production: Produces a summary document that is usable by new contributors with no prior context.

Quick Start

Use the 'repo-understanding' skill to generate a summary for the 'src/' directory with a depth of 2.

Frequently Asked Questions about repo-understanding

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

FAQPage Schema
How do I generate a module map for a complex codebase?

Generating a codebase summary requires file system access to analyze structure and dependencies, producing a navigable document with entry points, key data flows, and dependency overviews usable by new contributors.

What is the best way to identify entry points and trace data flows in a repository?

The best way to identify entry points and trace data flows is by analyzing the codebase's file system structure, which locates execution starting points and maps key system interactions into a navigable document.

Can I identify high coupling and test coverage gaps in my source code?

Yes, you can identify high coupling and test coverage gaps because the codebase summary specifically highlights risk areas including side-effect heavy code, test coverage gaps, and outdated patterns.

How do I get a dependency overview for HTTP, ORM, and Auth libraries?

Getting a dependency overview for HTTP, ORM, and Auth libraries involves scanning the codebase to identify key dependencies, producing a structured summary of libraries used for database, messaging, and observability functions.

Does generating a codebase summary require file system access?

Generating a codebase summary requires file system access because the analysis directly reads the codebase structure and dependencies to produce module maps, data flow traces, and risk identification.

What are the limitations of using automated summaries for documentation improvements?

The limitations of automated summaries for documentation improvements involve relying entirely on available file system access to identify risks and suggest enhancements based on existing codebase structure and dependency analysis.