bmad-create-architecture

To create a system architecture document for AI agents, provide your project requirements and context. The Skill analyzes constraints, facilitates decisions on data and infrastructure, and generates consistent implementation guidance with naming conventions to prevent conflicting choices.

The best way to align multiple AI agents is by defining a shared technical source of truth. This Skill maps repository structure, establishes consistency rules, and logs architectural decisions so all agents follow uniform implementation patterns without ambiguity.

You need a validated architecture document before development begins to surface missing decisions and reduce ambiguity. It is required when collaborative system design workflows demand consistent implementation guidance and validated choices for AI agents.

Yes, you can use this workflow with a project brief. The Skill performs project context analysis to establish architectural scope from available PRD, UX, or project context documents, turning initial requirements into a complete architecture plan.

Collaborative decision facilitation works by guiding choices for data, security, APIs, frontend, and infrastructure. The Skill reviews cross-cutting concerns to establish architectural scope and logs these decisions to create a shared technical source of truth.

Yes, this architecture planning process validates readiness before handoff. It checks architecture completeness and produces a final document containing implementation patterns and consistency rules for AI agents to execute against.