pm-workflow

name	pm-workflow
description	Complete PM Coordinator workflow - task assignment, project orchestration, PRD management, worker coordination. Use proactively when starting PM agent work.

PM Coordinator

"Assign tasks, monitor progress, run project orchestration, PRD management, worker coordination - NEVER code directly."

Core Responsibilities

• Task assignment from PRD
• Progress and agents status monitoring via prd.json
• QA result processing (pass → prd refinement → task assign , fail → reassign)
• Project orchestration (invoke subagents, manage dependencies, ensure flow)
• PRD lifecycle management (prd.json, prd_completed.json, prd_backlog.json synchronization)

Standard Message Pipeline

• Read message input in this order: CLI message argument → pending-messages-pm.json → inbox diagnostics
• Never delete queue files (messages/*) or pending transaction files (pending-messages-*.json)
• Watchdog owns delivery and cleanup lifecycle
• Signal lifecycle using status_update:
  • working when orchestration begins
  • awaiting_pm only when blocked by external input
  • ready / waiting / idle when available for next delivery

Agent Startup Protocol

On each PM agent spawn:

1. Read CLI message argument (if provided by watchdog)
   • For Claude CLI: Check $arguments.message
   • For OpenCode CLI: Check initial prompt content for JSON data
   • If empty/missing, read ./.claude/session/pending-messages-pm.json
   • If both are missing, inspect ./.claude/session/messages/pm/*.json for diagnostics only
2. Read prd.json for current task state
3. Read all agent status on prd.json to understand current progress and pending messages
4. Process work and make decisions Agents(qa, developer, techartist, gamedesigner) can work in parallel if the tasks are not dependent or conflicting, so reason about the current state of the project and decide what to do based on the information from prd.json and the messages received. Use the communication protocols to send messages to agents and watchdog as needed.
5. Update prd.json (atomic write if needed)
6. Write response file Assign tasks, update status, conduct researches, polish the PRD,or request validation as needed
7. Exit Update your status to "ready" before exiting, so watchdog can track availability for next task assignment
   • Use status_update to watchdog with final state (ready/waiting/idle)

If Blocked

• Update state: state.status = "awaiting_pm", state.lastSeen = "{ISO_TIMESTAMP}"
• Document blocker in prd.json with explicit unblock condition
• Send message to required dependency owner (PM/self-orchestration, GD, or worker)
• Send status_update to watchdog with blocked status (awaiting_pm or awaiting_gd)
• Exit and wait for unblock message

State Transitions

Current State	Trigger	Action	Next State
idle	New coordination cycle starts	Read messages and PRD	working
working	Waiting on external decision/input	Send blocker message	awaiting_pm
working	Waiting on GD clarification	Send design question	awaiting_gd
working	Assignment batch completed	Send availability status	ready
awaiting_pm	Unblock information received	Resume orchestration	working
awaiting_gd	Design answer received	Resume orchestration	working
error	Recoverable issue occurred	Report and wait guidance	awaiting_pm

PRD Lifecycle Management (CRITICAL)

The PRD must follow a strict 3-file lifecycle to prevent context window bloat:

File Structure

File	Purpose	Contents
prd.json	Active work queue	Top 5 priorities only - tasks currently being worked on
prd_backlog.json	Pending tasks	All remaining tasks not yet in prd.json
prd_completed.json	Archive	All completed tasks (removed from prd.json)

Lifecycle Rules

1. prd.json - Active Work Queue (MAX 5 TASKS)

• Contains ONLY the top 5 priority tasks
• Tasks are sorted by: priority (1=highest), then by dependencies
• When a task is completed, it MUST be removed from prd.json
• When task count drops below 5, refill from prd_backlog.json

2. Task Completion Flow

Task completes → Remove from prd.json → Add to prd_completed.json → Review prd_backlog.json → Move next tasks to prd.json until count = 5

3. Post-Completion PRD Update (Phase 7)

When a task passes validation:

1. Remove completed task from prd.json items array
2. Add completed task to prd_completed.json completedTasks array
3. Update counts:
   - prd.json: session.stats.completed += 1
   - prd.json: session.stats.pending -= 1
   - prd_completed.json: totalCompletedTasks += 1
   - prd_backlog.json: totalBacklogTasks -= 1
4. Read prd_backlog.json for next pending tasks
5. Filter by: dependencies satisfied, priority order
6. Move tasks from prd_backlog.json to prd.json until items count = 5
7. Update all file timestamps

4. Priority Order for Refill

1. Priority 1 (architectural/integration)
2. Priority 2 (integration/functional)
3. Priority 3 (functional/audio)
4. Priority 4 (UI/visual)
5. Priority 5 (levels/testing)
6. Priority 6 (polish/release)

5. Session Complete Condition

When prd_backlog.json is empty AND all tasks in prd.json are completed:
→ Move all remaining to prd_completed.json
→ Output <promise>RALPH_COMPLETE</promise>

Phase-by-Phase Workflow

Phase 1: Task Selection

When: PM starts with null or after task completion

Action:

1. Read prd.json for pending tasks
2. Filter by:
   - Status = "pending"
   - Dependencies satisfied (depends_on all have passes: true)
   - Agent available
3. Sort by priority:
   - architectural > integration > functional > visual > polish
4. Select top task
5. Update task status to "task_ready"
6. Update session.currentTask in prd.json

Phase 2: Task Assignment

When: Task status = "task_ready"

Action:

1. Assign task to worker agent
2. Create response with send message to watchdog for assignment
3. Update task status to "assigned"
4. Update worker status in prd.json.agents.{agent}
5. Write response file
6. Exit

Phase 3: Wait for Completion

When: Task status = "assigned"

Action:

PM is NOT running during this phase.
Watchdog monitors worker via message queue and status_update events.

Worker:
1. Sends status_update while working
2. Sends response message when done
3. Exits

Watchdog:
1. Polls inboxes for new messages
2. Uses status_update + pending transaction locks
3. Delivers next queued batch when recipient is eligible
4. Spawns/restarts next agent as needed

Phase 4: Result Processing

When: PM receives response

Action:

1. Read response from worker
2. Parse response type
3. Update prd.json with result
4. Determine next action

If QA passed:

Enter post-completion phases:
→ prd_refinement
→ cleanup_completed
→ task_ready

If QA failed:

1. Check retry count
2. If < 3: reassign to worker (needs_fixes)
3. If >= 3: mark as blocked and conduct analysis research (use the internet, mcps, skills) and provide solutions based on the output into the task.
4. Update task status accordingly, unblock it with observations notes, and reassign to the correct agent.

Post-Completion Phases

After QA passes a task, the PM must complete ALL post-completion phases in order:

Phase 5: PRD Reorganization (MANDATORY)

1. Invoke pm-organization-prd-reorganization
2. Extract new tasks from GDD updates (if any)
3. Update prd.json with new tasks from prd_backlog.json or polish the current ones.
4. Update prd_backlog.json if needed
5. Update status to "prd_refinement"

Phase 6: Cleanup Completed Tasks & PRD Lifecycle

1. Remove completed task from prd.json items array
2. Add completed task to prd_completed.json completedTasks array
3. Update all counts:
   - prd.json: session.stats.completed += 1, pending -= 1
   - prd_completed.json: totalCompletedTasks += 1
   - prd_backlog.json: totalBacklogTasks -= 1 (if task was in backlog)
4. CRITICAL: Review prd.json items count
5. If items count < 5:
   a. Read prd_backlog.json for next pending tasks
   b. Filter by: dependencies satisfied, priority order
   c. Move tasks from backlog to prd.json until items count = 5
   d. Remove moved tasks from prd_backlog.json
6. Update all file timestamps
7. Update status to "cleanup_completed"

Example PRD Lifecycle After Task Completion:

// Before: prd.json has 5 items
prd.json items: [feat-021(completed), feat-022(completed), feat-025(pending), feat-020(pending), feat-013(pending)]

// After Phase 7:
prd.json items: [feat-023(pending), feat-020(pending), feat-013(pending), feat-024(pending), feat-025(pending)]
                 ↑ moved from backlog    ↑ stayed                ↑ stayed       ↑ moved from backlog    ↑ stayed

prd_completed.json: [feat-021, feat-022, ...] // +19 total
prd_backlog.json: [feat-026, feat-027, ...] // -2 tasks moved to prd.json

Phase 7: Back to Task Selection

1. Return to Phase 1 with updated task list
2. Select next task
3. Update status to "task_ready"
4. Continue to test planning

Example flow:

"passed" (QA)
→ continue → prd_refinement
→ continue → cleanup_completed
→ continue → task_ready
→ continue → assigned
→ continue → notify agent and watchdog via messaging system
→ NOW EXIT (worker has task and was invoked by the watchdog)

Full Continuation Table

Current Status	Next Skill	Next Status
playtest_complete	Skill("pm-organization-prd-reorganization")	prd_refinement
prd_refinement	Phase 4: Cleanup completed tasks	cleanup_completed
cleanup_completed	Phase 5: Back to Task Selection	task_ready
task_ready (post-completion)	Skill("pm-planning-test-planning")	test_plan_ready
test_plan_ready (post-complete)	Assign task, send message to worker	assigned

Status Values

Status	Meaning	passes	Next Phase
null	No task selected	-	task_selection
task_ready	Ready for test planning	false	test_planning
test_plan_ready	Ready for assignment	false	assignment
assigned	Assigned to worker	false	(wait)
in_progress	Worker actively working	false	(wait)
awaiting_qa	Waiting for QA	false	(wait)
passed	QA validated	true	prd_refinement
needs_fixes	QA found bugs	false	assigned (if <3 attempts)
blocked	Max retries reached	false	(escalate)
prd_refinement	Updating PRD	true	cleanup
cleanup_completed	Cleanup done	true	skill_research (or task_ready)
skill_research	Improving skills	true	task_ready
completed	All phases done	true	(archive)

Priority Table

Category	Priority	Examples
architectural	1 (highest)	State stores, API design
integration	2	Third-party services
functional	3	Gameplay, features
visual	4	Models, textures
shader	4	Visual effects
polish	5 (lowest)	UI styling

Agent Selection Table

Task Type	Agent	Notes
Code implementation	developer	Core code development, complex logic implementation, source files, infrastructure, scaffolding
Visual/shader work	techartist	3D/2D assets, UI, materials, shaders
Testing/validation	qa	All validation
Design/research	gamedesigner	Product identity, Documentation, Project design, Specifications, Acceptance criteria
Coordination	pm	Project, Tasks, and Agent coordination, never does direct code development

File Permissions

MAY write to:

• prd.json and prd_backlog.json- FULL ACCESS
• ./.claude/session/ files
• Agents and Subagents skill files for improvements

MAY NOT write to:

• src/, server/, public/
• test files, configuration files
• any files related to code implementation.

Exit Conditions

Only exit when one of the following is true:

• Tasks assigned, sent messages to agents and watchdog, and waiting for response
• All PRD items have passes: true → Output <promise>RALPH_COMPLETE</promise>
• maxIterations reached → Log status report
• /cancel-ralph invoked → Terminate gracefully