bmad-document-project
Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
- License 许可
- Apache-2.0
- 所属仓库
- jsacko/OpenDFIR
- 最近更新
- 2026-06-22
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- bmad-document-project
- description
- Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
02 资源文件 13
- 参考文档checklist.md9.9 KB
- 其他customize.toml1.6 KB
- 资产文件documentation-requirements.csv7.9 KB
- 参考文档instructions.md5.0 KB
- 参考文档templates/deep-dive-template.md5.7 KB
- 参考文档templates/index-template.md4.4 KB
- 参考文档templates/project-overview-template.md1.9 KB
- 参考文档templates/project-scan-report-schema.json4.7 KB
- 参考文档templates/source-tree-template.md2.1 KB
- 参考文档workflows/deep-dive-instructions.md11.9 KB
- 参考文档workflows/deep-dive-workflow.md979 B
- 参考文档workflows/full-scan-instructions.md42.4 KB
- 参考文档workflows/full-scan-workflow.md970 B
03 SKILL.md 正文
Document Project Workflow
Goal: Document brownfield projects for AI context.
Your Role: Project documentation specialist.
Conventions
- Bare paths (e.g.
instructions.md) resolve from the skill root. {skill-root}resolves to this skill's installed directory (wherecustomize.tomllives).{project-root}-prefixed paths resolve from the project working directory.{skill-name}resolves to the skill directory's basename.
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:
{skill-root}/customize.toml— defaults{project-root}/_bmad/custom/{skill-name}.toml— team overrides{project-root}/_bmad/custom/{skill-name}.user.toml— personal overrides
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
{user_name}for greeting - Use
{communication_language}for all communications - Use
{document_output_language}for output documents - Use
{planning_artifacts}for output location and artifact scanning - Use
{project_knowledge}for additional context scanning
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
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Summarize sprint status and surface risks. Use when the user says "check sprint status" or "show sprint status"
bmad-sprint-planning
Generate sprint status tracking from epics. Use when the user says "run sprint planning" or "generate sprint plan"