bmad-create-architecture

Guide collaborative architectural design for AI agents with structured workflow steps.

Updated Apr 25, 2026

Search Tags:#AI agents #project structure #architecture design #design process #consistency rules

Ready to run

npx skills add https://github.com/wahabmalik/whatsapp-chatbot --skill bmad-create-architecture-wahabmalik

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill facilitates the creation of consistent architecture for AI agents by guiding collaborative design decisions and ensuring alignment across the development process.

Core Features & Use Cases

Collaborative Design: Partners with a user to make architectural decisions through a structured workflow.
Structured Workflow: Guides the user through steps to analyze context, define patterns, and map requirements.
Consistency Rules: Generates consistency rules and naming conventions for AI agents to follow.
Use Case: Imagine you are developing a large AI system with multiple agents. Use this Skill to define the architecture, including naming conventions, structure, and patterns, ensuring all agents implement consistently.

Quick Start

Use the bmad-create-architecture skill to begin the architecture design process for your project 'MyProject'.

Frequently Asked Questions about bmad-create-architecture

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

FAQPage Schema

How do I design consistent architecture for multiple AI agents?▼

Design consistent architecture for AI agents through a collaborative workflow that analyzes project context, defines implementation patterns, and validates the architecture. This structured process ensures alignment and consistency across your development workflow.

What are consistency rules in AI agent architecture design?▼

Consistency rules in AI agent architecture are generated naming conventions and structural implementation patterns that agents follow. They ensure all agents in a system implement consistently and remain aligned throughout development.

How do I map project requirements to architecture patterns for AI systems?▼

Map project requirements to architecture patterns by following a structured workflow that analyzes your project context and defines specific implementation patterns. This collaborative process requires input documents to validate the architecture design.

Can I use a collaborative design process to define naming conventions for my AI project?▼

Yes, you can use a collaborative design process to define naming conventions for your AI project. It partners with you through a structured workflow to generate consistency rules that ensure all agents implement uniformly.

What input documents do I need to start the architecture design process for AI agents?▼

Starting the architecture design process for AI agents requires input documents providing project context. The workflow analyzes these documents to collaboratively define implementation patterns, map requirements, and validate the final architecture.

When do I need a structured workflow for AI agent architecture design?▼

You need a structured workflow for AI agent architecture design when developing a large AI system with multiple agents. It ensures consistency and alignment across the development process by guiding collaborative architectural decisions.