bmad-create-architecture

Coordinate architecture decisions and document patterns for AI agent consistency.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/mschuerig/peach-ios --skill bmad-create-architecture-mschuerig
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/mschuerig/peach-ios/tree/main/_bmad/bmm/workflows/3-solutioning/bmad-create-architecture
Command: npx skills add https://github.com/mschuerig/peach-ios --skill bmad-create-architecture-mschuerig

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables teams to design and govern architecture for AI agent consistency, ensuring predictable behavior and repeatable decisions across collaborative workflows.

Core Features & Use Cases

  • Facilitates collaborative architecture design sessions for AI agents
  • Documents decisions, patterns, and handoff criteria to ensure consistent implementation
  • Supports step-by-step workflow execution from discovery to implementation readiness

Quick Start

Initiate the architecture workflow from Step 1 and guide the team through subsequent steps with clear prompts and verifications.

Frequently Asked Questions about bmad-create-architecture

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

FAQPage Schema
How do I document AI agent architecture decisions for team collaboration?

To document AI agent architecture decisions for team collaboration, you can use a structured workflow that records decisions, patterns, and handoff criteria. This ensures consistent implementation and predictable behavior across collaborative workflows.

What is the best way to ensure architecture consistency across multiple AI agents?

The best way to ensure architecture consistency across multiple AI agents is to collaboratively design reusable architecture scaffolds. This approach governs decisions and patterns, guaranteeing repeatable behavior across different tasks and teams.

How do I start a collaborative architecture design session for AI workflows?

You can start a collaborative architecture design session by initiating a step-by-step workflow from discovery to implementation readiness. The process guides teams with clear prompts and verifications through each subsequent step.

Can I enforce architecture patterns and handoffs for AI agents across different teams?

Yes, you can enforce architecture patterns and handoffs for AI agents across different teams. By documenting decision criteria and building reusable scaffolds, the architecture design becomes enforceable during implementation.

Why does my AI agent architecture fail to maintain consistent behavior across tasks?

AI agent architecture often fails to maintain consistent behavior across tasks due to undocumented patterns and handoffs. By collaboratively governing architecture decisions, teams can ensure predictable behavior and repeatable workflows.

Do I need prior architecture documentation to use a collaborative AI design workflow?

No, you do not need prior architecture documentation to start. The collaborative AI design workflow guides your team from initial discovery through to implementation readiness, building the necessary documentation step by step.