bmad-create-architecture

Name: bmad-create-architecture
Availability: InStock
Author: yukine5377

Coordinate architecture decisions across AI agents using structured frontmatter workflows and artifacts.

Updated Apr 12, 2026

Search Tags:#workflow #architecture #documentation #consistency #collaboration #ai #decision

Ready to run

npx skills add https://github.com/Yukine5377/common --skill bmad-create-architecture-yukine5377

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/Yukine5377/common/tree/main/.cursor/skills/bmad-create-architecture
Command: npx skills add https://github.com/Yukine5377/common --skill bmad-create-architecture-yukine5377

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate architecture decisions across AI agents to ensure consistent design outcomes.

Core Features & Use Cases

Facilitates collaborative architecture discovery and documentation workflows for AI agents and users.
Guides input discovery, analysis, and the tracking of decisions through a structured frontmatter workflow.
Enables multi-step workflows with validation, patterns, and handoff artifacts to ensure implementable architectures.

Quick Start

Prompt the system to collaboratively create architecture decisions and document them through the BMAD 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 coordinate architecture decisions across multiple AI agents?▼

You can coordinate architecture decisions across AI agents by applying a structured workflow with frontmatter state tracking and collaboration prompts. This ensures consistent design outcomes and aligns multi-agent inputs during solution creation.

What is the best way to document technical architecture decisions for consistent implementation?▼

Document technical architecture decisions through a multi-step workflow that validates patterns and generates handoff artifacts. This structured documentation ensures the resulting architecture is implementable and consistent across the project lifecycle.

How do I guide input discovery and analysis for solution design with AI?▼

Guide input discovery and analysis for solution design by following a structured workflow that tracks decisions via frontmatter. This process validates inputs and applies architectural patterns to ensure implementable outcomes.

Can I use this workflow to create architecture for any project scale?▼

Yes, you can apply this architecture creation workflow to any project scale. It guides architecture discovery and documentation through validation and pattern application, ensuring structured design outcomes across diverse project contexts.

Why do I need frontmatter state tracking for architecture creation?▼

Frontmatter state tracking is needed for architecture creation to monitor decisions throughout the collaborative workflow. It maintains consistency across AI agents by recording validation steps and preserving the context of architectural choices.