Multi Agent Workflow

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 spawn-agent.sh for each task
2. CLI selection follows agent_cli_mapping in user-preferences.yaml
3. Spawn all same-priority tasks in parallel using background processes

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