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rubberduck-codebase-atlas-pro

Compile a Codebase Atlas of repository architecture, entry points, and data flow.

Updated Apr 7, 2026
Search Tags:#architecture analysis#code intelligence#semantic analysis#repository analysis#codebase mapping
One-click install
npx skills add https://github.com/faizanarshad/rubber_duck --skill rubberduck-codebase-atlas-pro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rubberduck-codebase-atlas-pro
Source: https://github.com/faizanarshad/rubber_duck/tree/main/.cursor/skills/rubberduck-codebase-atlas-pro
Command: npx skills add https://github.com/faizanarshad/rubber_duck --skill rubberduck-codebase-atlas-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive, evidence-governed understanding of a codebase, enabling detailed repository mapping, architecture analysis, and feature walkthroughs.

Core Features & Use Cases

  • Codebase Mapping: Visualize and understand the structure of a codebase.
  • Architecture Analysis: Identify entry points, call chains, data flows, and architectural surprises.
  • Feature Walkthroughs: Dive into specific features, explaining their implementation and interaction with the rest of the codebase.
  • Use Case: Imagine you have a complex codebase with numerous components. Use this Skill to generate a detailed Codebase Atlas, which includes architectural insights, entry points, and data flows, helping you understand the codebase better.

Quick Start

Run the rubberduck-codebase-atlas-pro skill on the repository 'my_repository'.

Frequently Asked Questions about rubberduck-codebase-atlas-pro

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

FAQPage Schema
How do I analyze a repository architecture and map its codebase structure?▼

Repository architecture analysis and codebase mapping compile a detailed Codebase Atlas to visualize repository structure, identify entry points, and trace call and data flows for deep codebase understanding.

What is semantic analysis for code intelligence and how does it work?▼

Semantic analysis for code intelligence uses evidence-governed repository mapping to extract architectural insights, revealing how features interact and identifying architectural surprises within a codebase.

Does codebase mapping with RubberDuck require GitHub access for semantic analysis?▼

Yes, codebase mapping with RubberDuck requires GitHub access to fetch repository code for semantic analysis, enabling the generation of an evidence-backed architectural overview and feature walkthroughs.

How do I generate a Codebase Atlas to trace call chains and data flows?▼

Generating a Codebase Atlas involves running semantic analysis on a target repository to map entry points, trace call chains and data flows, and output an evidence-backed architectural overview.

What is the best way to understand a complex codebase before implementing new features?▼

Understanding a complex codebase is best achieved through repository analysis that maps architectural structure, traces data flows, and provides feature walkthroughs to explain component interactions and identify architectural surprises.

Can semantic analysis identify architectural surprises in a large repository?▼

Yes, semantic analysis identifies architectural surprises by compiling an evidence-backed Codebase Atlas that maps repository structure, entry points, and call chains to reveal unexpected architectural patterns.

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