bmad-create-architecture

Structure collaborative architecture decisions into frontmatter-tracked steps.

3|2|Updated Mar 29, 2024

Search Tags:#workflow #architecture #documentation #collaboration #frontmatter #decision-making #ai-agents

Ready to run

npx skills add https://github.com/josemariafs/MVTools --skill bmad-create-architecture-josemariafs

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides teams to create architecture decision workflows with AI agent collaboration to ensure consistent implementation.

Core Features & Use Cases

Collaborative architecture workflow that decomposes decisions into steps with frontmatter-tracked progress.
Step-by-step activation of structured decisions (workflow blocks, templates, and continuation prompts) to produce consistent architecture documents.
Supports integration with team overrides and personal preferences via customize.toml.

Quick Start

Start by initializing Step 1 to begin collaborative architecture planning.

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?▼

To coordinate architecture decisions across multiple AI agents, you can use a workflow that decomposes decisions into steps with frontmatter-tracked progress. This ensures consistent implementation and reproducible decision logs across teams and forks.

How do I create reproducible architecture decision logs for software projects?▼

You can create reproducible architecture decision logs by using versioned templates and step-wise activation via SKILL.md frontmatter. This structured approach guides AI agents to produce consistent architecture documents.

Can I apply custom team overrides to an AI-driven architecture workflow?▼

Yes, you can apply custom team overrides and personal preferences to the architecture workflow by configuring a customize.toml file. This allows teams to adapt the structured decision process to their specific needs.

What is step-wise activation for collaborative architecture planning?▼

Step-wise activation is a process that decomposes architectural decisions into structured workflow blocks and continuation prompts. By initializing Step 1, teams activate these templates sequentially to guide AI agents through planning.

How do I ensure consistent architecture documentation across project forks?▼

You ensure consistent architecture documentation across forks by using frontmatter-driven progress tracking and versioned templates. This structured workflow guarantees that all distributed teams and AI agents produce aligned documents.