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gsd-map-codebase

Analyze codebases with parallel AI agents to generate structured documentation files.

Updated Mar 1, 2026
Search Tags:#code quality#refactoring#software architecture#codebase analysis#developer onboarding#documentation generation
One-click install
npx skills add https://github.com/NUbivek/Searchbar3 --skill gsd-map-codebase-nubivek
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-map-codebase
Source: https://github.com/NUbivek/Searchbar3/tree/main/.codex/skills/gsd-map-codebase
Command: npx skills add https://github.com/NUbivek/Searchbar3 --skill gsd-map-codebase-nubivek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of understanding and documenting an existing codebase, making it easier to onboard new developers, refactor code, or simply maintain a clear overview of the project's architecture and quality.

Core Features & Use Cases

  • Automated Codebase Analysis: Leverages parallel AI agents to analyze different aspects of the codebase (technology stack, architecture, quality, concerns).
  • Structured Documentation Generation: Produces 7 distinct documents (STACK.md, INTEGRATIONS.md, ARCHITECTURE.md, STRUCTURE.md, CONVENTIONS.md, TESTING.md, CONCERNS.md) directly within the .planning/codebase/ directory.
  • Use Case: Before starting a major refactoring effort on a legacy project, run this Skill to get a comprehensive, AI-generated map of the current codebase, identifying key components, dependencies, and potential areas of concern.

Quick Start

Run the gsd-map-codebase skill to analyze the current project's codebase.

Frequently Asked Questions about gsd-map-codebase

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

FAQPage Schema
How do I generate documentation for an existing codebase to speed up developer onboarding?▼

You can generate documentation for an existing codebase by running parallel AI agents to analyze the technology stack, architecture, and conventions. This process automatically produces structured markdown files to accelerate developer onboarding and clarify project structure.

What is the best way to map software architecture and identify code quality concerns in a brownfield project?▼

The best way to map software architecture in a brownfield project is using automated analysis agents to evaluate code quality and structural conventions. This approach identifies key components, dependencies, and potential concerns while generating comprehensive architectural documentation.

Can I use automated codebase analysis for both legacy refactoring and greenfield projects?▼

Yes, automated codebase analysis works for both legacy refactoring and greenfield projects. It maps existing code to highlight areas of concern for refactoring, and can update the codebase map as greenfield code evolves, ensuring documentation remains current.

What specific documentation files are generated when mapping a codebase with AI agents?▼

Mapping a codebase with AI agents generates seven specific documentation files: STACK, INTEGRATIONS, ARCHITECTURE, STRUCTURE, CONVENTIONS, TESTING, and CONCERNS. These markdown files are created directly within the .planning/codebase/ directory.

How do I analyze codebase structure and testing strategies before a major refactoring effort?▼

You can analyze codebase structure and testing strategies before refactoring by running automated AI agents to evaluate the project. This generates detailed documentation on conventions and testing methodologies, highlighting dependencies and potential areas of concern.

Does gsd-map-codebase require external dependencies to map existing code?▼

No, gsd-map-codebase does not require external dependencies to map existing code. It operates as a standalone skill, leveraging parallel AI agents to analyze the codebase and generate structured architectural documentation without additional tool installations.

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