bmad-create-architecture

Name: bmad-create-architecture
Availability: InStock
Author: GenEd

Create a complete architecture decision workflow for AI-assisted software projects.

Updated Mar 30, 2026

Search Tags:#architecture #software engineering #project structure #validation #ai agents #solution design #implementation patterns

Ready to run

npx skills add https://github.com/GenEducation/GenedUIProject --skill bmad-create-architecture-geneducation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/GenEducation/GenedUIProject/tree/main/.gemini/skills/bmad-create-architecture
Command: npx skills add https://github.com/GenEducation/GenedUIProject --skill bmad-create-architecture-geneducation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams create a complete architecture decision document so AI agents can implement software consistently without conflicting choices or missing context.

Core Features & Use Cases

Project Context Analysis: Reviews requirements, constraints, and cross-cutting concerns to establish the architectural scope.
Decision Coordination: Guides users through starter selection, core architecture decisions, implementation patterns, and project structure.
Validation and Handoff: Checks coherence and completeness, then produces a finished architecture document ready for implementation.
Use Case: Use it when starting a new software project, defining a solution design, or aligning multiple AI agents around the same technical foundation.

Quick Start

Use the bmad-create-architecture skill to analyze my project and produce a complete architecture document.

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 a consistent architecture document for multiple AI agents?▼

To create a consistent architecture document for multiple AI agents, use a stepwise workflow that tracks decisions, defines implementation patterns, and applies consistency rules so agents can implement software without conflicting choices.

How does architecture decision coordination work for AI-assisted software projects?▼

Architecture decision coordination works by guiding users through starter selection, core decisions, and project structure validation, producing a finished document that establishes the technical foundation for AI agents.

What is the best way to align multiple AI agents around the same software design?▼

The best way to align multiple AI agents around the same software design is to generate a complete architecture decision document that reviews project context, cross-cutting concerns, and structure validation rules.

Can I use this architecture workflow to validate an existing project structure?▼

Yes, you can use this architecture workflow to validate an existing project structure by applying coherence and completeness checks during the validation and handoff phase.

Do I need a complete architecture decision document before starting implementation with AI agents?▼

You need a complete architecture decision document before starting implementation to ensure AI agents have the necessary project context, starter evaluation, and implementation patterns to avoid missing context or conflicting choices.

When should I not use a stepwise architecture decision workflow for my software project?▼

You should not use a stepwise architecture decision workflow if your software project does not require coordinating multiple AI agents or if defining a comprehensive solution design and structure validation is unnecessary for your implementation scale.