bmad-workflow

Coordinate AI-driven development workflows across Analysis, Planning, Solutioning, and Implementation phases.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tDalile/dotfiles --skill bmad-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-workflow
Source: https://github.com/tDalile/dotfiles/tree/main/agents/skills/bmad-workflow
Command: npx skills add https://github.com/tDalile/dotfiles --skill bmad-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

BMAD Workflow enables structured collaboration among AI agents by standardizing phases and roles to improve delivery and coordination.

Core Features & Use Cases

  • Structured phases (Analysis, Plan, Solutioning, Implementation) for clear handoffs
  • Specialized agents (PM, Architect, Developer, UX Designer) for domain-specific work
  • OpenCode integration and scalable workflows for complex projects

Quick Start

Initiate a BMAD workflow by outlining your goal and triggering the Analysis phase to start domain research and PRD planning.

Frequently Asked Questions about bmad-workflow

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

FAQPage Schema
How do I coordinate AI agents across multi-phase development workflows?

Structured AI workflows coordinate agents across Analysis, Planning, Solutioning, and Implementation phases. This standardizes role-based collaboration for domain research, PRD creation, and architecture decisions to ensure deterministic task execution.

What is the best way to structure AI project planning and architecture decisions?

Structured AI project planning uses specialized agents like PM, Architect, and UX Designer to handle domain-specific work. These roles create clear handoffs between planning, solutioning, and implementation phases for complex projects.

How do I start a BMAD workflow for domain research and PRD creation?

Start a BMAD workflow by outlining your project goal and triggering the Analysis phase. This initiates structured collaboration among AI agents to gather domain research and plan the product requirements document.

Does OpenCode integration support role-based AI agent collaboration?

OpenCode integration supports role-based AI agent collaboration by enabling scalable workflows for complex projects. It standardizes phases and specialized roles like PM, Architect, and Developer to improve delivery and coordination.

When do I need structured phases for AI-driven development?

Structured phases for AI-driven development are needed for multi-phase projects requiring explicit roles, domain research, and architecture decisions. This approach ensures deterministic task execution and clear handoffs between Analysis, Planning, Solutioning, and Implementation.