prime

Analyze directory structure and file counts for a codebase overview.

3|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/giladresisi/ai-dev-env --skill prime-giladresisi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prime
Source: https://github.com/giladresisi/ai-dev-env/tree/main/skills/prime
Command: npx skills add https://github.com/giladresisi/ai-dev-env --skill prime-giladresisi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you quickly build an understanding of a project's codebase, either at a high level or by focusing on a specific area, before starting implementation work.

Core Features & Use Cases

  • High-Level Overview: Get a quick grasp of the project's architecture, patterns, and structure.
  • Focused Deep-Dive: Investigate a specific component or functionality in detail.
  • Use Case: Before starting a new feature, use /prime "user authentication" to understand how the existing authentication system is built, identify potential integration points, and detect any structural issues that might hinder development.

Quick Start

Use the prime skill to get a high-level overview of the project's directory structure.

Frequently Asked Questions about prime

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

FAQPage Schema
How do I understand a codebase architecture before starting implementation?

Codebase architecture understanding is achieved by analyzing directory structure, file counts, and minimal documentation to provide a high-level overview of project patterns and structural blockers.

Can I do a deep-dive analysis of a specific codebase component?

Yes, you can perform a focused deep-dive analysis of a specific codebase component by providing a focus argument, which triggers deep file analysis and keyword searches for that area.

How do I detect structural blockers and inconsistent patterns in my codebase?

Structural blockers and inconsistent patterns are detected by analyzing the codebase directory structure and documentation, highlighting architectural issues that impede implementation work.

What is the best way to get a high-level overview of a project's directory structure?

The best way to get a high-level overview of a project's directory structure is to analyze file counts and minimal documentation, which reveals the architecture and existing patterns.

Do I need any dependencies to analyze my project's architecture and context?

No dependencies are required to analyze your project's architecture and context, as the skill operates independently to evaluate directory structures and minimal documentation.