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bmad-document-project

Generate AI-friendly documentation packages for brownfield projects.

Updated Apr 26, 2026
Search Tags:#workflow#architecture#documentation#integration#analysis#ai#brownfield
One-click install
npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-document-project-wizarck
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bmad-document-project
Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/bmad-document-project
Command: npx skills add https://github.com/Wizarck/iguanatrader --skill bmad-document-project-wizarck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams automatically generate comprehensive, AI-friendly documentation for brownfield projects, ensuring consistent context for future AI-assisted development.

Core Features & Use Cases

  • Generate an end-to-end project documentation package, including architecture, source-tree analysis, API contracts, data models, and deployment guidance.
  • Support multi-part and monorepo structures by identifying parts, interdependencies, and part-specific docs.
  • Provide a resume-friendly workflow that preserves progress and enables incremental documentation without re-scanning from scratch.

Quick Start

Run the document-project workflow to generate the complete documentation for your Brownfield project.

Frequently Asked Questions about bmad-document-project

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

FAQPage Schema
How do I generate AI-friendly documentation for a brownfield project?▼

To generate AI-friendly documentation for a brownfield project, run the document-project workflow to automatically produce architecture, source-tree analysis, API contracts, data models, and deployment guidance packages.

Can I document a monorepo or multi-part architecture without re-scanning from scratch?▼

Yes, you can document a monorepo or multi-part architecture incrementally using the resumable state-tracking workflow, which preserves your progress and identifies interdependencies without re-scanning from scratch.

What is included in AI-ready documentation for existing codebases?▼

AI-ready documentation for existing codebases includes architecture overviews, source-tree analysis, API contracts, data models, and deployment guidance, enhanced by optional assets, references, and scripts.

Does this documentation workflow support resuming from where I left off?▼

Yes, the documentation workflow supports resumable state-tracking, allowing you to resume from where you left off and perform incremental documentation updates without losing prior progress.

What's the best way to provide AI context for an existing monolith project?▼

The best way to provide AI context for an existing monolith project is running a dedicated workflow that analyzes the source tree and generates comprehensive documentation packages tailored for AI-assisted development.

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