Tutorial: Creating Custom Workflows
Build your own orchestrated workflows that coordinate multiple agents for complex tasks.
What You'll Build
- Custom "deployment" workflow
- Multi-phase orchestration
- Agent coordination
- Quality gates and checkpoints
- Automated rollback handling
Prerequisites
- Bootspring Pro or higher
- Understanding of agents and workflows
- Project with existing deployment setup
Understanding Custom Workflows
Custom workflows allow you to:
- Orchestrate complex multi-step processes
- Coordinate multiple agents
- Add project-specific automation
- Enforce quality gates at each phase
Step 1: Define the Workflow
Create a workflow definition:
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Step 2: Create Workflow Definition File
Create a detailed workflow specification:
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Step 3: Create Workflow Executor
Build the workflow execution engine:
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Step 4: Create Workflow CLI Commands
Add CLI support for the workflow:
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Step 5: Add Workflow Hooks
Create reusable hooks for notifications and tracking:
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Step 6: Create Workflow Dashboard
Build a dashboard to monitor workflows:
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Step 7: Use the Custom Workflow
Via CLI
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Via MCP
In Claude or your AI assistant:
Start the deployment workflow for production
Programmatically
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Step 8: Test the Workflow
Create tests for your workflow:
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Verification Checklist
- Workflow configuration added
- Workflow definition file created
- Executor implemented
- Hooks configured (Slack, tracking)
- CLI commands working
- Dashboard displays workflows
- Rollback configured
- Tests passing
What You Learned
- Defining multi-phase workflows
- Building workflow executors
- Implementing hooks and notifications
- Creating approval gates
- Configuring automatic rollback
- Testing workflows