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codebase-onboarding-analyzer

Analyze codebases to generate structured onboarding reports with architecture and dependency details.

Updated Aug 23, 2026
Search Tags:#architecture#documentation#onboarding#code-analysis#dependency-graph
One-click install
npx skills add https://github.com/doctorduke/claude-config --skill codebase-onboarding-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-onboarding-analyzer
Source: https://github.com/doctorduke/claude-config/tree/main/skills/codebase-onboarding-analyzer
Command: npx skills add https://github.com/doctorduke/claude-config --skill codebase-onboarding-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates codebase understanding, dependency mapping, architecture extraction, and quick-start guidance to accelerate onboarding and knowledge transfer.

Core Features & Use Cases

  • Repository structure analysis and module boundary detection
  • Dependency mapping and visualization
  • Complexity and architecture extraction
  • Auto-generated onboarding guides and runbooks

Quick Start

Run a quick onboarding survey on a new project to generate an initial architecture overview and contributor map.

Frequently Asked Questions about codebase-onboarding-analyzer

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

FAQPage Schema
How do I analyze a codebase to understand its architecture and dependencies?▼

Codebase analysis extracts repository structure, dependency graphs, and architectural patterns to create a structured overview. This Skill automatically maps modules, identifies entry points, and generates complexity metrics across Python, JavaScript/TypeScript, Go, Rust, Java, and related languages, producing an onboarding report without manual documentation.

Can I use automated analysis to accelerate onboarding into an unfamiliar project?▼

Yes. Automated codebase analysis accelerates onboarding by generating guided documentation, contributor maps, and quick-start runbooks. It detects repository structure, dependency relationships, and architectural patterns, reducing time to productive contribution.

What does a dependency graph show in code analysis?▼

A dependency graph visualizes relationships between modules, libraries, and services in your codebase. It reveals data flow, component boundaries, and integration points, helping identify critical paths, circular dependencies, and architectural layers.

How do I extract architecture from a multi-language codebase?▼

Architecture extraction analyzes code structure across multiple languages simultaneously to identify modules, service boundaries, and design patterns. This Skill parses Python, JavaScript/TypeScript, Go, Rust, and Java to generate unified architectural views and complexity metrics.

What's the difference between repository structure analysis and dependency mapping?▼

Repository structure analysis identifies file organization, module boundaries, and entry points. Dependency mapping shows relationships between components and external libraries. Together they reveal both static layout and runtime interactions needed for full codebase comprehension.

Can automated analysis generate contributor and runbook documentation?▼

Yes. After analyzing repository structure, dependencies, and architecture, automated analysis generates contributor guides and operational runbooks. These provide quick-start steps and decision points for new team members entering the codebase.

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