Multi-Agent Workflow Guide

Scheduling

Goal

Guide manual multi-agent coordination for complex work that spans PM, frontend, backend, mobile, and QA responsibilities.

Intent signature

• User wants step-by-step coordination, manual agent spawning, or multi-domain work planning without full automation.
• Task spans multiple specialist agents and requires contract alignment.

When to use

• Complex feature spanning multiple domains (full-stack, mobile)
• Coordination needed between frontend, backend, mobile, and QA
• User wants step-by-step guidance for multi-agent coordination

When NOT to use

• Simple single-domain task -> use the specific agent directly
• User wants automated execution -> use orchestrator
• Quick bug fixes or minor changes

Expected inputs

• Complex feature or project goal
• Required domains and priority tiers
• Workspace/session constraints and API/data contract needs

Expected outputs

• Manual coordination sequence
• PM task decomposition, agent spawn order, monitoring guidance, and QA review step
• API/data contract alignment checkpoints

Dependencies

• PM, frontend, backend, mobile, QA, and orchestrator skills
• resources/examples.md
• CLI oma agent:spawn and progress/result memory conventions

Control-flow features

• Branches by task complexity, priority tiers, dependency ordering, and whether automation is desired
• Spawns independent same-priority tasks in parallel when appropriate
• Monitors progress files and contract alignment

Structural Flow

Entry

1. Confirm the task is complex enough for multi-agent coordination.
2. Start with PM task decomposition.
3. Identify priority tiers and shared contracts.

Scenes

1. PREPARE: Define session, domains, and task decomposition needs.
2. ACT: Spawn agents by priority with separate workspaces.
3. VERIFY: Monitor progress and API/data contract alignment.
4. FINALIZE: Run QA review and coordinate remediation.

Transitions

• If task is simple, route to one specialist.
• If user wants automated execution, use orchestrator.
• If QA finds CRITICAL issues, re-spawn responsible agents.

Failure and recovery

• If contracts diverge, pause downstream frontend/mobile work until backend/API contract is reconciled.
• If agent workspaces conflict, split ownership boundaries.
• If progress stalls, inspect progress files and reissue focused instructions.

Exit

• Success: specialist outputs are coordinated and QA-reviewed.
• Partial success: blocked agents, contract conflicts, or QA failures are explicit.

Logical Operations

Actions

Action	SSL primitive	Evidence
Read request and domains	READ	User prompt and project context
Select agent plan	SELECT	PM decomposition and priority tiers
Spawn agents	CALL_TOOL	oma agent:spawn
Monitor progress	READ	progress-{agent}.md
Validate contracts	VALIDATE	API/data model alignment
Notify coordination status	NOTIFY	Final coordination summary

Tools and instruments

• oma agent:spawn, PM/frontend/backend/mobile/QA agents
• Memory/progress/result files
• Serena MCP for exploration and modification when used by specialists

Canonical command path

oma agent:spawn pm "<planning task>" <session-id> -w ./pm
oma agent:spawn backend "<backend task>" <session-id> -w ./backend &
oma agent:spawn frontend "<frontend task>" <session-id> -w ./frontend &
wait

Resource scope

Scope	Resource target
LOCAL_FS	Progress/result files and workspaces
PROCESS	Agent spawn commands
MEMORY	Session state and task board
CODEBASE	Shared contracts and implementation areas

Preconditions

• Task requires multiple domains.
• PM decomposition can identify independent priority tiers.

Effects and side effects

• Spawns or guides multiple agents.
• Coordinates workspace ownership and QA feedback.

Guardrails

1. Always start with PM Agent for task decomposition
2. Spawn independent tasks in parallel (same priority tier)
3. Define API contracts before frontend/mobile tasks
4. QA review is always the final step
5. Assign separate workspaces to avoid file conflicts
6. Always use Serena MCP tools as the primary method for code exploration and modification
7. Never skip steps in the workflow; follow each step sequentially without omission

Workflow

Step 1: Plan with PM Agent

PM Agent analyzes requirements, selects tech stack, creates task breakdown with priorities.

Step 2: Spawn Agents by Priority

Spawn agents via CLI:

1. Use oma agent:spawn for each task
2. CLI selection follows model_preset (and per-agent overrides) in oma-config.yaml
3. Spawn all same-priority tasks in parallel using background processes

# Example: spawn backend and frontend in parallel
oma agent:spawn backend "task description" session-id -w ./backend &
oma agent:spawn frontend "task description" session-id -w ./frontend &
wait

Step 3: Monitor & Coordinate

• Use memory read tool to poll progress-{agent}.md files
• Verify API contracts align between agents
• Ensure shared data models are consistent

Step 4: QA Review

Spawn QA Agent last to review all deliverables. Address CRITICAL issues by re-spawning agents.

Automated Alternative

For fully automated execution without manual spawning, use the orchestrator skill instead.

References

• Workflow examples: resources/examples.md