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magento-bricklayer

Inspect Magento 2 DI configuration and generate module scaffolding.

18|4|Updated Jun 17, 2026
Search Tags:#code generation#tooling#magento#ai-assisted development#runtime introspection
One-click install
npx skills add https://github.com/Inchoo/magento-bricklayer --skill magento-bricklayer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: magento-bricklayer
Source: https://github.com/Inchoo/magento-bricklayer/tree/main
Command: npx skills add https://github.com/Inchoo/magento-bricklayer --skill magento-bricklayer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill Unit simplifies AI-assisted Magento 2 development by providing tools for runtime introspection, configuration, and code generation, filling the gap between static source files and the dynamic nature of the application.

Core Features & Use Cases

  • Runtime Introspection: Access resolved DI configuration, plugin chains, EAV attributes, and event observers across all installed modules.
  • Diagnostic Tools: Diagnose errors with full context and actionable fixes.
  • Performance Analysis: Analyze performance across indexes, cache, cron, and query patterns.
  • Data Management: Manage products, orders, and customers through Magento's service layer.
  • Code Generation: Generate Magento-compliant module scaffolding with conflict detection.
  • Development Guidelines: Load domain-specific guidelines for consistent coding practices.
  • Use Case: Imagine you need to develop a new Magento module with custom EAV attributes. Use this Skill Unit to inspect existing attributes, configure your module, and generate the necessary code with confidence.

Quick Start

Run the bricklayer install command from your Magento project root to set up the Skill Unit and start using it with your AI agent.

Frequently Asked Questions about magento-bricklayer

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

FAQPage Schema
How do I inspect resolved Magento 2 DI configuration and plugin chains during AI-assisted development?▼

To inspect resolved Magento 2 DI configuration and plugin chains, you can use runtime introspection tooling that analyzes your installed modules. This allows your AI agent to access the actual application state and diagnose errors with full context.

Can I generate Magento 2 module scaffolding and custom EAV attributes using an AI agent?▼

Yes, you can generate Magento 2 module scaffolding and custom EAV attributes using AI-assisted code generation tools. These tools inspect existing EAV attributes and generate Magento-compliant code while actively detecting potential conflicts.

What's the best way to diagnose Magento 2 performance issues across indexes, cache, and cron jobs?▼

The best way to diagnose Magento 2 performance issues is by using specialized performance analysis tooling. These tools analyze your indexes, cache, cron jobs, and query patterns to provide actionable fixes and optimize application behavior.

Does AI-assisted Magento 2 development require a specific environment setup?▼

AI-assisted Magento 2 development requires an active Magento 2 installation and compatible AI agents. You must run the setup command from your Magento project root to install the necessary tooling before you can start analyzing configurations.

How do I manage Magento 2 products, orders, and customers through the service layer with an AI agent?▼

You can manage Magento 2 products, orders, and customers by utilizing data management tools that interface directly with the service layer. This enables your AI agent to safely interact with store data and perform administrative operations.

Why use runtime introspection for Magento 2 code generation instead of static source file analysis?▼

Runtime introspection bridges the gap between static source files and the dynamic Magento 2 application state. It allows AI agents to analyze resolved configurations, event observers, and plugin chains, ensuring generated code matches the actual runtime environment.

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