bmad-create-architecture

Create architecture decision documents through a guided collaborative workflow.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/geekdesign27/travailleursisoles --skill bmad-create-architecture-geekdesign27
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/geekdesign27/travailleursisoles/tree/main/_bmad/bmm/workflows/3-solutioning/bmad-create-architecture
Command: npx skills add https://github.com/geekdesign27/travailleursisoles --skill bmad-create-architecture-geekdesign27

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of comprehensive architecture decision documents, ensuring consistency and preventing implementation conflicts across AI agents.

Core Features & Use Cases

  • Guided Workflow: A step-by-step process to define project context, select starter templates, make critical architectural decisions, establish patterns, and define project structure.
  • Collaborative Decision Making: Facilitates peer-to-peer collaboration to ensure all architectural choices are well-reasoned and documented.
  • AI Agent Consistency: Defines patterns and structure to ensure AI agents implement code in a unified and predictable manner.
  • Use Case: When starting a new AI-driven project, use this Skill to generate a complete architecture document that guides all subsequent development, ensuring all AI agents adhere to the same standards.

Quick Start

Use the bmad-create-architecture skill to start designing a new architecture for your project.

Frequently Asked Questions about bmad-create-architecture

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

FAQPage Schema
How do I create architecture decision documents for consistent AI agent implementation?

Architecture decision documents ensure consistent AI agent implementation by defining project context, technology stack, architectural patterns, and project structure. This prevents implementation conflicts and ensures all agents adhere to the same standards.

What's the best way to establish project structure and patterns for AI-driven development?

Establishing project structure and patterns for AI-driven development requires a collaborative, step-by-step workflow. This process validates critical architectural decisions to ensure AI agents implement code in a unified and predictable manner.

How do I prevent implementation conflicts across multiple AI agents in a new project?

To prevent implementation conflicts across multiple AI agents, generate a comprehensive architecture document that defines patterns and project structure. This guides subsequent development, ensuring agents adhere to unified standards and predictable behaviors.

Can I use this guided workflow to select starter templates and define a technology stack?

Yes, this guided workflow supports selecting starter templates and defining your technology stack. The step-by-step collaborative process facilitates defining project context, making critical architectural decisions, and establishing foundational patterns.

When do I need a solution design document for workflow automation and technical documentation?

A solution design document for workflow automation and technical documentation is needed when starting a new AI-driven project. It ensures architectural choices are well-reasoned, documented, and validated against project requirements to maintain consistency.