bmad-document-project

To generate architecture documentation for an existing codebase, this Skill scans your repository structure, classifies the project, and produces structured markdown artifacts covering architecture, source tree, and deployment. It tracks scan state to support resumable workflows across multi-part codebases.

AI-ready project knowledge is created by reading repository metadata and resolving customization layers to generate validated markdown documentation. This Skill outputs index, overview, source tree, architecture, development, and optional API documentation artifacts for your codebase.

Yes, you can resume an interrupted repository analysis scan. This Skill tracks scan state and supports both resume and fresh start workflows, keeping high-level findings available so you can continue documenting a brownfield codebase without losing progress.

Yes, this project documentation generator works with multi-part codebases. It detects repository structure, identifies distinct project parts, and chooses the appropriate documentation path to map the full source tree and architecture for each component.

Scanning a brownfield repository generates markdown documentation artifacts including an index, project overview, source tree mapping, architecture documentation, development setup, deployment guides, and optional API or data documentation depending on the codebase.