codebase-understanding

Build a queryable codebase knowledge graph to analyze architecture and dependencies.

Updated May 20, 2026

Search Tags:#architecture #knowledge graph #codebase #repository #dependency

Ready to run

npx skills add https://github.com/munlucky/moonshotnote-skills --skill codebase-understanding-munlucky

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-understanding
Source: https://github.com/munlucky/moonshotnote-skills/tree/main/skills/codebase-understanding
Command: npx skills add https://github.com/munlucky/moonshotnote-skills --skill codebase-understanding-munlucky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ast, git, graphviz, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you understand unfamiliar repositories by building a lightweight, queryable codebase knowledge graph. It's useful for onboarding into a new repository, explaining architecture, mapping files and components, answering questions, and assessing the impact of code changes.

Core Features & Use Cases

Codebase Onboarding: Automatically build a knowledge graph for a new repository.
Architecture Explanation: Explain the structure and components of a codebase.
File/Symbol Explanation: Understand the role and dependencies of a specific file or symbol.
Diff Impact Assessment: Assess the impact of code changes on the codebase.
Learning Plan: Generate a learning plan for understanding a repository.
Dashboard: Visualize the codebase graph.

Quick Start

Use the codebase-understanding skill to onboard into the repository 'my-repo'.

Frequently Asked Questions about codebase-understanding

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

FAQPage Schema

How do I understand an unfamiliar codebase and its architecture?▼

To understand an unfamiliar codebase, you can build a queryable knowledge graph that maps repository architecture and component dependencies. This approach automates the extraction of structural relationships to help you onboard quickly.

What is a codebase knowledge graph and how does it work?▼

A codebase knowledge graph is a lightweight, queryable representation of a repository's structure and dependencies. It works by parsing files and symbols to map how code changes impact different components, allowing you to query specific architectural relationships directly.

How do I assess the impact of code changes on repository dependencies?▼

You can assess the impact of code changes by querying the repository knowledge graph to map diff impacts. This process traces how modifications to specific files or symbols affect downstream components and overall architecture dependencies.

Do I need Python and graphviz to build a repository dependency graph?▼

Yes, building a repository dependency graph requires Python and typically depends on libraries like ast, git, and graphviz. The exact dependencies depend on the repository's language and structure to properly parse and visualize the knowledge graph.

What's the best way to generate a learning plan for a new repository?▼

The best way to generate a learning plan for a new repository is to build a knowledge graph to map its architecture. This visualizes the codebase structure, allowing you to systematically target key components and understand their dependencies.

Can I visualize codebase architecture without manual mapping?▼

Yes, you can visualize codebase architecture automatically by building a lightweight knowledge graph. This process maps files and component dependencies directly from the repository, providing a dashboard to explore the structure without manual mapping.