Workflow Status System
The universal entry point for BMM workflows - answers "what should I do now?" for any agent.
Overview
The workflow status system provides:
- Smart project initialization - Detects existing work and infers project details
 - Simple status tracking - Key-value pairs for instant parsing
 - Intelligent routing - Suggests next actions based on current state
 - Modular workflow paths - Each project type/level has its own clean definition
 
Architecture
Core Components
workflow-status/
├── workflow.yaml              # Main configuration
├── instructions.md            # Status checker (99 lines)
├── workflow-status-template.yaml # Clean YAML status template
├── project-levels.yaml        # Source of truth for scale definitions
└── paths/                     # Modular workflow definitions
    ├── greenfield-level-0.yaml through level-4.yaml
    ├── brownfield-level-0.yaml through level-4.yaml
    └── game-design.yaml
Related Workflow
workflow-init/
├── workflow.yaml              # Initialization configuration
└── instructions.md            # Smart setup (182 lines)
How It Works
For New Projects
- User runs 
workflow-status - System finds no status file
 - Directs to 
workflow-init - Init workflow:
- Scans for existing work (PRDs, code, etc.)
 - Infers project details from what it finds
 - Asks minimal questions (name + description)
 - Confirms understanding in one step
 - Creates status file with workflow path
 
 
For Existing Projects
- User runs 
workflow-status - System reads status file
 - Shows current state and options:
- Continue in-progress work
 - Next required step
 - Available optional workflows
 
 - User picks action
 
Status File Format
Clean YAML format with all workflows listed up front:
# generated: 2025-10-29
# project: MyProject
# project_type: software
# project_level: 2
# field_type: greenfield
# workflow_path: greenfield-level-2.yaml
workflow_status:
  # Phase 1: Analysis
  brainstorm-project: optional
  research: optional
  product-brief: recommended
  # Phase 2: Planning
  prd: docs/prd.md
  validate-prd: optional
  create-design: conditional
  # Phase 3: Solutioning
  create-architecture: required
  validate-architecture: optional
  solutioning-gate-check: required
Status Values:
required/optional/recommended/conditional- Not yet started{file-path}- Completed (e.g.,docs/prd.md)skipped- Optional workflow that was skipped
Any agent can instantly parse what they need:
- Read YAML to see all workflows and their status
 - Check which workflows are completed vs pending
 - Auto-detect existing work by scanning for output files
 
Project Levels
Source of truth: /src/modules/bmm/README.md lines 77-85
- Level 0: Single atomic change (1 story)
 - Level 1: Small feature (1-10 stories)
 - Level 2: Medium project (5-15 stories)
 - Level 3: Complex system (12-40 stories)
 - Level 4: Enterprise scale (40+ stories)
 
Workflow Paths
Each combination has its own file:
greenfield-level-X.yaml- New projects at each levelbrownfield-level-X.yaml- Existing codebases at each levelgame-design.yaml- Game projects (all levels)
Benefits:
- Load only what's needed (60 lines vs 750+)
 - Easy to maintain individual paths
 - Clear separation of concerns
 
Smart Detection
The init workflow intelligently detects:
Project Type:
- Finds GDD → game
 - Otherwise → software
 
Project Level:
- Reads PRD epic/story counts
 - Analyzes scope descriptions
 - Makes educated guess
 
Field Type:
- Finds source code → brownfield
 - Only planning docs → greenfield
 - Checks git history age
 
Documentation Status:
- Finds index.md → was undocumented
 - Good README → documented
 - Missing docs → needs documentation
 
Usage Examples
Any Agent Checking Status
Agent: workflow-status
Result: "Current: Phase 2 - Planning, Next: prd (pm agent)"
New Project Setup
Agent: workflow-status
System: "No status found. Run workflow-init"
Agent: workflow-init
System: "Tell me about your project"
User: "Building a dashboard with user management"
System: "Level 2 greenfield software project. Correct?"
User: "Yes"
System: "Status created! Next: pm agent, run prd"
Smart Inference
System finds: prd-dashboard.md with 3 epics
System finds: package.json, src/ directory
System infers: Level 2 brownfield software
User confirms or corrects
Philosophy
Less Structure, More Intelligence
Instead of complex if/else logic:
- Trust the LLM to analyze and infer
 - Use natural language for corrections
 - Keep menus simple and contextual
 - Let intelligence emerge from the model
 
Result: A workflow system that feels like talking to a smart assistant, not filling out a form.
Implementation Details
workflow-init (6 Steps)
- Scan for existing work - Check for docs, code, git history
 - Confirm findings - Show what was detected (if anything)
 - Gather info - Name, description, confirm type/level/field
 - Load path file - Select appropriate workflow definition
 - Generate workflow - Build from path file
 - Create status file - Save and show next step
 
workflow-status (4 Steps)
- Check for status file - Direct to init if missing
 - Parse status - Extract key-value pairs
 - Display options - Show current, required, optional
 - Handle selection - Execute user's choice
 
Best Practices
- Let the AI guess - It's usually right, user corrects if needed
 - One conversation - Get all info in Step 3 of init
 - Simple parsing - Key-value pairs, not complex structures
 - Modular paths - Each scenario in its own file
 - Trust intelligence - LLM understands context better than rules
 
Integration
Other workflows read the status to coordinate:
- Any workflow can check CURRENT_PHASE
 - Workflows can verify prerequisites are complete
 - All agents can ask "what should I do?"
 
Phase 4 (Implementation):
- workflow-status only tracks sprint-planning completion
 - After sprint-planning, all story/epic tracking happens in sprint-status.yaml
 - Phase 4 workflows do NOT read/write workflow-status (except sprint-planning for prerequisite verification)
 
The workflow-status.yaml file is the single source of truth for Phases 1-3, and sprint-status.yaml takes over for Phase 4 implementation tracking.
Benefits
✅ Smart Detection - Infers from existing work instead of asking everything ✅ Minimal Questions - Just name and description in most cases ✅ Clean Status - Simple key-value pairs for instant parsing ✅ Modular Paths - 60-line files instead of 750+ line monolith ✅ Natural Language - "Tell me about your project" not "Pick 1-12" ✅ Intelligent Menus - Shows only relevant options ✅ Fast Parsing - Grep instead of complex logic ✅ Easy Maintenance - Change one level without affecting others
Future Enhancements
- Visual progress indicators
 - Time tracking and estimates
 - Multi-project support
 - Team synchronization
 
This workflow is the front door to BMad Method. Start here to know what to do next.