| BROWNFIELD planning input. Scans an existing codebase READ-ONLY and writes project-documentation.md — ground truth for stack, structure, key flows, conventions, and integration points — so downstream BMAD planning skills start from reality. Does NOT modify code; produces only the doc artifact. "document my app", "scan the existing code", "brownfield planning", "we have existing code, start planning", "map what's already built", "document current state", "capture the current architecture", "understand the existing system before planning", "write project-documentation.md", or before a PRD or architecture doc when the user already has code written. Validate (check completeness). Plans only — reads code but never writes it, runs no tests, no linters, no build tools, no application code.
npx skills add https://github.com/aj-geddes/claude-code-bmad-skills --skill bmad-document-project
BROWNFIELD entry point. When a project already has code, planning skills need
ground truth — not guesses about the stack or conventions. This skill performs a
systematic, READ-ONLY codebase scan and emits project-documentation.md, the
authoritative current-state snapshot that every downstream BMAD planning skill loads.
No code is written, modified, or executed. Allowed tools are Read, Glob, Grep,
Write (for the output document only), and TodoWrite (to track scan progress).
bmad-output/project-documentation.md
(or the user-configured output folder — honor it)
Load bmad-output/project-context.md if it exists; merge any constraints already
recorded there rather than rediscovering them from scratch.
Ask which intent applies if ambiguous; never silently regenerate an existing document.
Use TodoWrite to track the six scan passes below. Complete every pass before writing
the final document.
Pass 1 — Repository skeleton
Glob: **/* (depth ≤ 3, exclude node_modules, .git, dist, build, __pycache__, .venv)
Glob: *.md, *.txt, *.rst at root and docs/
Capture: directory tree shape, presence of monorepo markers (packages/,
apps/, libs/), top-level config files, documentation roots.
Pass 2 — Stack and toolchain
Read whichever of these exist (don't fail on missing files):
| File | What to extract |
|------|----------------|
| package.json / package-lock.json | runtime + dev deps, scripts |
| pyproject.toml / requirements*.txt / Pipfile | Python stack |
| go.mod | Go module + dependencies |
| Cargo.toml | Rust crate |
| pom.xml / build.gradle | JVM stack |
| Gemfile | Ruby stack |
| composer.json | PHP stack |
| *.csproj / *.sln | .NET stack |
| Dockerfile / docker-compose*.yml | container strategy |
| .github/workflows/*.yml / *.gitlab-ci.yml / Jenkinsfile | CI/CD chain |
| *.tf / *.bicep / *.yaml (in infra/) | IaC / cloud provider |
Record: primary language, frameworks, major libraries, runtime version pins,
test frameworks (note them — do NOT run them), build tool, package manager.
Pass 3 — Entry points and key flows
Grep: "main\|entrypoint\|app\.listen\|createServer\|handler\|router\|routes"
Grep: "export default\|module\.exports\|@app\.route\|@Controller\|@RestController"
Read the top-level entry files surfaced (max 5–8 files; skim, don't exhaustively read).
Capture: how the app starts, primary routing layer, authentication/middleware chain
(names only), background workers or queues detected.
Pass 4 — Module / domain structure
Read directory names and index.* / __init__.* files one level down from src/,
app/, lib/, or the equivalent.
Glob: src/**/index.{ts,js,py,go,rb}
Glob: app/**/__init__.py
Capture: module names and inferred responsibility, layer boundaries (controllers /
services / repositories / models / utils), shared utilities.
Pass 5 — Conventions and patterns
Sample 3–5 representative files per layer (prefer recently modified if discernible
from file names / path depth):
Grep: "class \|interface \|type \|enum " — naming style
Grep: "async \|await \|Promise\|goroutine\|concurrent" — concurrency pattern
Grep: "import \|require\|from " — module resolution style
Grep: "console\.log\|logger\.\|log\." — logging approach
Grep: "\.env\|process\.env\|os\.environ\|config\." — config/secrets pattern
Capture: naming conventions (casing style for files, classes, functions), error
handling style, logging approach, config/secrets management, test file location
convention (name only — no execution).
Pass 6 — Integration points
Grep: "http[s]\?://\|fetch(\|axios\.\|requests\.\|http\.Get\|RestTemplate"
Grep: "database\|db\.\|pool\.\|prisma\.\|mongoose\.\|sqlx\.\|gorm\."
Grep: "redis\|kafka\|rabbitmq\|sqs\|pubsub\|queue\|event"
Grep: "s3\.\|storage\.\|blob\.\|bucket"
Capture: external HTTP APIs called (domains/service names, not secrets), database
type and ORM/driver, message queues or event buses, object storage, third-party
services (payment, email, auth providers — names only).
Write the document
Fill ${CLAUDE_PLUGIN_ROOT}/skills/bmad-document-project/templates/project-documentation.template.md
→ bmad-output/project-documentation.md.
Use the Write tool. Leave sections with a <!-- not detected --> comment rather
than inventing content. Accuracy over completeness.
project-documentation.md.Do NOT regenerate the full document from scratch if only part has changed.
Read the existing project-documentation.md and verify:
Report a pass/fail checklist. Offer to fill gaps rather than silently editing.
This skill is READ-ONLY except for its single output document. It:
If a scan reveals something worth fixing, record it as a planning note in the
document — do not fix it.
Once project-documentation.md is written, it becomes the brownfield input for:
project-context.md with the detected stack and constraints.State the recommended next step when the document is ready.
This analysis role aligns with Mary (Business Analyst) in the BMAD Method — start
with what exists before prescribing what should change. The document is her
field notes: precise, sourced, free of conjecture.
> ---
> Part of the BMAD Planning & Orchestrator plugin — a Claude Code harness for the BMAD Method by the BMAD Code Organization (https://github.com/bmad-code-org/BMAD-METHOD). Implements the spirit of bmad-document-project. All methodology credit belongs to the BMAD Code Organization.
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.
Securely inspect and automate microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals.
Creates comprehensive API changelogs documenting breaking changes, deprecations, and migration strategies for API consumers. Use when managing API versions, communicating breaking changes, or creating upgrade guides.
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.
Take aj-geddes/bmad-document-project from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.