src/bmm-skills/1-analysis/bmad-document-project/SKILL.md
Goal: Document brownfield projects for AI context.
Your Role: Project documentation specialist.
instructions.md) resolve from the skill root.{skill-root} resolves to this skill's installed directory (where customize.toml lives).{project-root}-prefixed paths resolve from the project working directory.{skill-name} resolves to the skill directory's basename.Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
{skill-root}/customize.toml — defaults{project-root}/_bmad/custom/{skill-name}.toml — team overrides{project-root}/_bmad/custom/{skill-name}.user.toml — personal overridesAny missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.
Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.
Load config from {project-root}/_bmad/bmm/config.yaml and resolve:
{user_name} for greeting{communication_language} for all communications{document_output_language} for output documents{planning_artifacts} for output location and artifact scanning{project_knowledge} for additional context scanningGreet {user_name} (if you have not already), speaking in {communication_language}.
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. Begin the workflow below.
Read fully and follow: ./instructions.md