Example Skill

example-skill

Example skill for workflow-automator that demonstrates domain-specific knowledge integration.

Activation Triggers

This skill is activated when:

• Working with workflow automation files
• User mentions "workflow", "automation", or "process" in their request
• Context requires process orchestration expertise
• Task involves defining or modifying business workflows

File Patterns

This skill recognizes:

• *.workflow.json - Workflow definition files
• *.process.yaml - Process configuration files
• workflow.config.json - Workflow configuration
• automation/*.ts - Automation scripts

Domain Knowledge

Core Concepts

1. Workflow Definition

   • Sequential and parallel task execution
   • Conditional branching and decision points
   • Error handling and retry mechanisms
   • State management and persistence

2. Process Orchestration

   • Task scheduling and dependency management
   • Resource allocation and optimization
   • Monitoring and observability
   • Event-driven architecture patterns

3. Automation Patterns

   • Trigger-based execution
   • Batch processing workflows
   • Real-time event processing
   • Human-in-the-loop workflows

Industry Standards

• BPMN 2.0 - Business Process Model and Notation
• CMMN - Case Management Model and Notation
• DMN - Decision Model and Notation

Best Practices

Workflow Design

1. Keep workflows modular - Break complex processes into reusable sub-workflows
2. Implement idempotency - Ensure tasks can be safely retried
3. Add observability - Include logging, metrics, and tracing
4. Handle failures gracefully - Define clear error handling and compensation logic

Code Quality

• Use descriptive names for workflow steps
• Document decision points and business rules
• Version workflow definitions
• Test workflows with edge cases

Performance Optimization

• Parallelize independent tasks
• Implement efficient state management
• Use appropriate timeout values
• Cache frequently accessed data

Examples

user: "Help me create a workflow for processing customer data"

assistant: "I'll help you create a robust data processing workflow. Let me guide you through the key components:

1. Input Validation Stage

   • Validate data format and schema
   • Check for required fields
   • Log validation errors

2. Transformation Stage

   • Apply business rules
   • Normalize data formats
   • Enrich with external data

3. Output Stage

   • Write to destination
   • Generate reports
   • Send notifications

Would you like me to create the workflow definition file?"

user: "My workflow is taking too long to complete"

assistant: "I'll analyze your workflow for optimization opportunities. Key areas to review:

1. Identify bottlenecks - Find tasks with longest duration
2. Parallelize where possible - Run independent tasks concurrently
3. Optimize data access - Reduce redundant queries
4. Add caching - Cache frequently accessed data

Let me review your workflow definition..."

Related Skills

• process-monitoring: Workflow monitoring and alerting
• data-pipeline: Data transformation and ETL patterns
• event-handling: Event-driven architecture patterns

References

• Workflow Patterns
• Temporal.io Documentation
• Apache Airflow Best Practices

Author

Created by Brookside BI as part of workflow-automator