explain-codebase

Analyzes a codebase to generate a browsable HTML architecture diagram.

1|1|Updated Nov 3, 2023

Search Tags:#architecture #documentation #onboarding #codebase #analysis #visualization

Ready to run

npx skills add https://github.com/itsphurin/dotfiles --skill explain-codebase-itsphurin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: explain-codebase
Source: https://github.com/itsphurin/dotfiles/tree/main/.claude/skills/explain-codebase
Command: npx skills add https://github.com/itsphurin/dotfiles --skill explain-codebase-itsphurin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly grasp a codebase's structure, tech stack, and data flow by generating a single, browser-viewable architecture visualization.

Core Features & Use Cases

Automated architecture diagram that maps entry points, modules, and data flow across layers.
Tech-stack discovery by inspecting common project files (pyproject.toml, package.json, Cargo.toml, go.mod) and key configs.
Onboarding and reference: provides a visual overview to accelerate team ramp-up and code comprehension.

Quick Start

Open architecture.html in the project root to view the visualization.

Frequently Asked Questions about explain-codebase

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

FAQPage Schema

How do I generate an architecture diagram for my codebase?▼

To generate an architecture diagram, you investigate the codebase to analyze entry points and metadata files, outputting a browsable HTML visualization that maps components to architectural layers.

What is automated codebase visualization for onboarding?▼

Automated codebase visualization is the process of mapping entry points, modules, and data flow across layers to produce a browser-viewable architecture diagram for quick reference and team ramp-up.

How does codebase analysis discover a project's tech stack?▼

Codebase analysis discovers a tech stack by inspecting common project files like pyproject.toml, package.json, Cargo.toml, and go.mod to identify frameworks and key configurations.

Do I need a specific browser to view the generated architecture.html file?▼

You do not need a specific browser to view the architecture.html file; it requires only a standard browser to open and browse the generated visual overview from the project root.

What is the best way to map data flow across architectural layers?▼

The best way to map data flow across layers is to analyze common metadata files and entry points across languages, generating a single browsable HTML diagram reflecting the project structure.

Can I use this codebase analysis for projects across different languages?▼

Yes, you can use this codebase analysis for projects across different languages because it analyzes common metadata files and entry points across languages to map components to architectural layers.