bmad-bmm-document-project

Extract project scope, data sources, stakeholders, and workflow steps into structured documentation.

Updated Aug 27, 2026

Search Tags:#templates #documentation #brownfield #document #handoffs #project-management #ai-context

Ready to run

npx skills add https://github.com/RafaellsAlmeida/lifetrek --skill bmad-bmm-document-project-rafaellsalmeida

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-bmm-document-project
Source: https://github.com/RafaellsAlmeida/lifetrek/tree/main/.agents/skills/bmad-bmm-document-project
Command: npx skills add https://github.com/RafaellsAlmeida/lifetrek --skill bmad-bmm-document-project-rafaellsalmeida

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Document brownfield AI projects to provide clear context and reusable documentation templates.

Core Features & Use Cases

Automated project context extraction: Generate structured documentation from existing project artifacts, notes, and data sources.
Template-driven publications: Produce consistent docs across teams and handoffs, enabling easier onboarding and collaboration.
Use Case: When handed a legacy AI initiative, produce a comprehensive project doc including scope, data sources, stakeholders, and workflow steps.

Quick Start

Generate a complete brownfield AI project documentation draft from available project data and templates.

Frequently Asked Questions about bmad-bmm-document-project

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

FAQPage Schema

How do I document a legacy AI project for stakeholder handoffs?▼

Document legacy AI projects for stakeholder handoffs by extracting project scope, data sources, stakeholders, and workflow steps to produce structured, ready-to-share documentation. This ensures contextual clarity and seamless knowledge transfer across product, research, and engineering teams.

What is the best way to generate AI-context documentation for brownfield projects?▼

Generating AI-context documentation for brownfield projects is best handled by extracting context from existing artifacts and notes to produce template-driven publications. This approach ensures consistent docs across teams, enabling easier onboarding and collaboration without manual formatting.

Can I use reusable templates for brownfield project documentation across different teams?▼

Reusable templates for brownfield project documentation can be applied across product, research, and engineering teams. Template-driven publications produce consistent docs across teams and handoffs, ensuring that structured project context remains uniform during onboarding and collaboration.

How do I extract project scope and data sources from existing AI initiatives?▼

Extract project scope and data sources from existing AI initiatives through automated project context extraction. This process analyzes available project artifacts, notes, and data sources to generate a comprehensive, structured documentation draft for your legacy initiative.

Does this approach work for documenting workflows in non-AI legacy projects?▼

Documenting workflows in non-AI legacy projects is not the primary focus, as this approach targets brownfield AI initiatives specifically. It extracts AI-specific context like data sources and stakeholder workflows to produce documentation tailored for AI-context clarity and knowledge transfer.