codebase-overview

Analyze codebase structure to identify project type, architecture patterns, and tech stack.

46|4|Updated Nov 19, 2025

Search Tags:#architecture #onboarding #codebase #patterns #quality #analyze #tech-stack

Ready to run

npx skills add https://github.com/lis186/SourceAtlas --skill codebase-overview

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-overview
Source: https://github.com/lis186/SourceAtlas/tree/main/plugin/skills/codebase-overview
Command: npx skills add https://github.com/lis186/SourceAtlas --skill codebase-overview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps new contributors and engineers rapidly understand a codebase by producing a concise map of its structure, main components, and technology.

Core Features & Use Cases

Codebase fingerprinting: Identify project type, scale, and major components from a quick scan.
Architecture hypothesis: Infer architectural patterns (e.g., layered, modular) with confidence levels.
Tech stack identification: Detect primary languages, frameworks, and tooling to inform onboarding.
Use Case: Imagine joining a repo; run this Skill to generate a quick overview and suggested onboarding steps.

Quick Start

Use the codebase-overview skill to scan the current repository by running /sourceatlas:overview.

Frequently Asked Questions about codebase-overview

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

FAQPage Schema

How do I analyze a codebase structure for onboarding?▼

To analyze a codebase structure for onboarding, this Skill scans a small subset of high-entropy files to map major components, identify project type, and detect the core tech stack. It generates a quick overview with suggested onboarding steps.

What is the best way to identify architecture patterns in a new project?▼

Identifying architecture patterns in a new project is done by scanning high-entropy files to infer structural patterns like layered or modular designs. The Skill provides an architecture hypothesis complete with confidence levels for each inferred pattern.

Can I detect the tech stack and frameworks across diverse project types?▼

You can detect tech stacks across diverse project types because the Skill identifies primary languages, frameworks, and tooling by scanning a targeted subset of repository files. This fingerprints the project scale and informs the onboarding process.

Does generating a codebase overview require scanning every file?▼

Generating a codebase overview does not require scanning every file, as the Skill analyzes a small, high-entropy subset of files to rapidly identify project type and architecture. This targeted scanning approach ensures a quick overview without full repository processing.

Why use automated codebase fingerprinting when joining a new repo?▼

Automated codebase fingerprinting is used when joining a new repo to rapidly understand project scale and major components. It applies to new projects and onboarding sessions by instantly mapping the structure and core technology.