codebase-onboarding

Analyze codebase structure and languages to generate onboarding documentation templates.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/Patasse97/claude-skills --skill codebase-onboarding-patasse97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-onboarding
Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/codebase-onboarding
Command: npx skills add https://github.com/Patasse97/claude-skills --skill codebase-onboarding-patasse97

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Analyze a codebase to produce structured onboarding documentation for new contributors, tech leads, and contractors, saving time and reducing ramp-up friction.

Core Features & Use Cases

  • Architecture and stack discovery from repository signals to surface tech footprint.
  • Key file and config inventory for new contributors to understand project layout.
  • Local setup and common-task guidance generation to speed onboarding.
  • Audience-aware documentation framing for junior, senior, and contractor readers.
  • Use Case: Onboard a new engineer to a large monorepo quickly with a ready-to-edit onboarding packet.

Quick Start

Run the codebase_analyzer.py against your repository to generate an onboarding summary for new engineers.

Frequently Asked Questions about codebase-onboarding

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

FAQPage Schema
How do I generate onboarding documentation for a new codebase?▼

To generate onboarding documentation, run the codebase analyzer script against your repository. It automatically discovers architecture, inventories key configs, and produces a ready-to-edit onboarding summary for new engineers.

What is architecture discovery from repository signals?▼

Architecture discovery is the process of parsing file extensions and configurations to identify a project's tech footprint. This mechanism surfaces the core stack and languages without manually reading the codebase.

Can I tailor developer setup guidance for different audiences like junior engineers and contractors?▼

Yes, you can tailor developer setup guidance for different audiences. The analyzer produces audience-aware documentation framing specifically customized for junior, senior, and contractor readers.

Does codebase analysis work for large monorepos?▼

Yes, codebase analysis works for large monorepos. The architecture discovery and config inventory scope explicitly supports repositories of varying sizes to reduce ramp-up friction for new contributors.

What's the best way to inventory key project files and configurations?▼

The best way to inventory key files is to automate detection using a codebase analyzer. It identifies critical configurations and project layout to help new contributors understand the repository structure quickly.