bmad-create-architecture

Align architectural decisions for AI agents with a step-by-step workflow.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ImaginerLabs/skill-manager --skill bmad-create-architecture-imaginerlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/ImaginerLabs/skill-manager/tree/main/.trae/skills/bmad-create-architecture
Command: npx skills add https://github.com/ImaginerLabs/skill-manager --skill bmad-create-architecture-imaginerlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams define and govern architecture decisions for AI agents with a repeatable, step-by-step workflow.

Core Features & Use Cases

  • Template-driven architecture workflow that guides decision making across discovery, starter evaluation, patterns, and validation
  • Cooperative collaboration with party-mode and advanced elicitation for diverse insights
  • Structured documentation that tracks decisions, patterns, structure, and readiness for implementation

Quick Start

Start by providing the project context and initiating Step 1 to initialize the architecture workflow.

Frequently Asked Questions about bmad-create-architecture

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

FAQPage Schema
How do I align architectural decisions for AI agent consistency across a team?

A template-driven architecture workflow aligns decisions by guiding teams through discovery, starter evaluation, patterns, and validation. It structures documentation to track decisions and structure, ensuring AI agent consistency across cross-functional collaboration.

What is the best way to document architecture decisions for reproducible implementation?

The best way to document architecture decisions for reproducible implementation is applying a template-driven workflow that explicitly records decisions, patterns, and structure. This creates structured documentation tracking readiness and ensures PRD-to-implementation alignment.

Can I use a collaborative workflow to align PRD requirements with architecture patterns?

Yes, you can align PRD requirements with architecture patterns using a cooperative workflow with party-mode and advanced elicitation. This captures diverse insights during discovery and validation, ensuring structured documentation tracks decisions for implementation readiness.

How to start a step-by-step architecture workflow for an AI project?

To start a step-by-step architecture workflow, provide your project context and initiate Step 1 to initialize the process. The template-driven workflow then guides decision-making across discovery, starter evaluation, patterns, and validation for explicit documentation.

Does cross-functional architecture collaboration work without explicit decision governance?

Cross-functional architecture collaboration lacks consistency without explicit decision governance. A step-based governance workflow is required to apply template reuse, structure diverse insights via elicitation, and explicitly document decisions, patterns, and structure for AI agents.