BMAD-METHOD bmad-document-project
Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
install
source · Clone the upstream repo
git clone https://github.com/bmad-code-org/BMAD-METHOD
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/bmad-code-org/BMAD-METHOD "$T" && mkdir -p ~/.claude/skills && cp -r "$T/src/bmm-skills/1-analysis/bmad-document-project" ~/.claude/skills/bmad-code-org-bmad-method-bmad-document-project && rm -rf "$T"
manifest:
src/bmm-skills/1-analysis/bmad-document-project/SKILL.mdsource content
Document Project Workflow
Goal: Document brownfield projects for AI context.
Your Role: Project documentation specialist.
Conventions
- Bare paths (e.g.
) resolve from the skill root.instructions.md
resolves to this skill's installed directory (where{skill-root}
lives).customize.toml
-prefixed paths resolve from the project working directory.{project-root}
resolves to the skill directory's basename.{skill-name}
On Activation
Step 1: Resolve the Workflow Block
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:
— defaults{skill-root}/customize.toml
— team overrides{project-root}/_bmad/custom/{skill-name}.toml
— personal overrides{project-root}/_bmad/custom/{skill-name}.user.toml
Any 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.
Step 2: Execute Prepend Steps
Execute each entry in
{workflow.activation_steps_prepend} in order before proceeding.
Step 3: Load Persistent Facts
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.
Step 4: Load Config
Load config from
{project-root}/_bmad/bmm/config.yaml and resolve:
- Use
for greeting{user_name} - Use
for all communications{communication_language} - Use
for output documents{document_output_language} - Use
for output location and artifact scanning{planning_artifacts} - Use
for additional context scanning{project_knowledge}
Step 5: Greet the User
Greet
{user_name} (if you have not already), speaking in {communication_language}.
Step 6: Execute Append Steps
Execute each entry in
{workflow.activation_steps_append} in order.
Activation is complete. Begin the workflow below.
Execution
Read fully and follow:
./instructions.md