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bmad-create-architecture

Guide a facilitator and domain expert through collaborative architecture solution design.

1|Updated May 31, 2026
Search Tags:#architecture design#AI agent consistency#collaborative decision making#customizable workflow#external skill integration
One-click install
npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-create-architecture-sfines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-create-architecture
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-create-architecture
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-create-architecture-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill facilitates the creation of comprehensive architecture solutions that ensure AI agents implement consistently, reducing implementation conflicts.

Core Features & Use Cases

  • Collaborative Decision Making: Guides an architectural facilitator and a domain expert through step-by-step discovery to make architecture decisions.
  • Customizable Workflows: Allows customization of the architecture workflow through configuration files and overrides.
  • Integration with External Skills: Integrates with external skills for advanced elicitation and party mode analysis.
  • Use Case: For a project with complex requirements, use this Skill to collaboratively define the architecture, ensuring that all AI agents involved implement consistently.

Quick Start

Use the bmad-create-architecture skill to initiate the architecture workflow for the "projectX" by running the following command: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key 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 ensure consistent architecture implementation across multiple AI agents?▼

To ensure consistent AI agent implementation, you need a structured architecture solution design that guides a facilitator and domain expert through collaborative decision making, reducing implementation conflicts across complex projects.

What is the best way to facilitate collaborative architecture design for complex AI projects?▼

Collaborative architecture design is best facilitated through a structured workflow that guides an architectural facilitator and a domain expert through step-by-step discovery to make and document architecture decisions.

How do I initiate the architecture creation workflow using a Python script?▼

To initiate the architecture workflow, run the Python script resolve_customization.py with the --skill and --key workflow arguments from your project's scripts directory to load the necessary configuration.

Can I customize the architecture workflow using configuration files?▼

You can customize the architecture workflow by applying configuration files and overrides, allowing you to tailor the collaborative decision-making process and integrate external skills for advanced elicitation.

Does this architecture design process support integration with external skills for analysis?▼

The architecture design process supports integration with external skills, enabling advanced elicitation and party mode analysis to enhance the collaborative decision-making workflow for domain experts.

Do I need specific Python libraries to run the architecture workflow scripts?▼

You need specific Python libraries for configuration and scripting to execute the architecture workflow scripts, as the process relies on resolving customizations and managing structured project dependencies.

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