Kailash Workflows - Industry Patterns & Templates
Production-ready workflow patterns and templates for industry-specific use cases and common application patterns.
Overview
Complete workflow patterns for:
- •Industry-specific applications
- •Common use case templates
- •Production-ready patterns
- •Best practice implementations
Industry-Specific Patterns
Finance
- •workflow-industry-finance - Financial services workflows
- •Payment processing
- •Fraud detection
- •Risk assessment
- •Compliance reporting
- •Trade settlement
- •Credit scoring
Healthcare
- •workflow-industry-healthcare - Healthcare workflows
- •Patient data processing
- •Medical record management
- •Clinical decision support
- •Insurance claims
- •Lab result processing
- •HIPAA compliance
Logistics
- •workflow-industry-logistics - Logistics workflows
- •Order fulfillment
- •Inventory management
- •Route optimization
- •Shipment tracking
- •Warehouse automation
- •Supply chain coordination
Manufacturing
- •workflow-industry-manufacturing - Manufacturing workflows
- •Production planning
- •Quality control
- •Equipment monitoring
- •Maintenance scheduling
- •Supply chain management
- •Defect tracking
Retail
- •workflow-industry-retail - Retail workflows
- •Order processing
- •Inventory management
- •Customer service automation
- •Pricing optimization
- •Promotional campaigns
- •Returns processing
Common Use Case Patterns
AI & Document Processing
- •workflow-pattern-ai-document - AI document processing
- •Document classification
- •Entity extraction
- •Document summarization
- •OCR and parsing
- •Form processing
- •Multi-document analysis
API Integration
- •workflow-pattern-api - API integration patterns
- •API orchestration
- •Multi-API coordination
- •API retry logic
- •Rate limiting
- •Response transformation
- •Error handling
Business Rules
- •workflow-pattern-business-rules - Business rule engines
- •Rule evaluation
- •Decision tables
- •Policy enforcement
- •Conditional processing
- •Dynamic routing
- •Approval workflows
Cyclic Workflows
- •workflow-pattern-cyclic - Cyclic workflow patterns
- •Iterative processing
- •Feedback loops
- •Retry mechanisms
- •State machines
- •Multi-cycle patterns
- •Convergence detection
Data Processing
- •workflow-pattern-data - Data processing patterns
- •Data validation
- •Data enrichment
- •Data aggregation
- •Data normalization
- •Data quality checks
- •Master data management
ETL (Extract, Transform, Load)
- •workflow-pattern-etl - ETL workflows
- •Data extraction
- •Transformation pipelines
- •Data loading
- •Incremental updates
- •Error handling
- •Performance optimization
File Processing
- •workflow-pattern-file - File processing patterns
- •Bulk file processing
- •File monitoring
- •File transformation
- •Archive management
- •File validation
- •Multi-format handling
Project Management
- •workflow-pattern-project-mgmt - Project workflows
- •Task automation
- •Status tracking
- •Resource allocation
- •Deadline monitoring
- •Report generation
- •Approval workflows
RAG (Retrieval-Augmented Generation)
- •workflow-pattern-rag - RAG workflows
- •Document indexing
- •Vector search
- •Context retrieval
- •Answer generation
- •Source attribution
- •Multi-source RAG
Security
- •workflow-pattern-security - Security workflows
- •Access control
- •Audit logging
- •Threat detection
- •Incident response
- •Compliance checking
- •Security scanning
Pattern Usage
How to Use Patterns
- •Select Pattern: Choose relevant industry or use case
- •Review Template: Study the pattern structure
- •Customize: Adapt to your specific needs
- •Test: Follow testing best practices
- •Deploy: Use production deployment patterns
Pattern Structure
Each pattern includes:
- •Overview: Use case description
- •Architecture: Workflow design
- •Nodes Used: Required nodes
- •Configuration: Parameter setup
- •Example Code: Working implementation
- •Best Practices: Production tips
- •Testing: Test strategies
When to Use This Skill
Use this skill when you need:
- •Industry-specific workflow templates
- •Production-ready starting points
- •Common use case implementations
- •Best practice examples
- •Workflow design inspiration
- •Pattern-based development
Implementation Tips
Starting from Patterns
python
# 1. Copy pattern template
workflow = WorkflowBuilder()
# 2. Add nodes from pattern
workflow.add_node("NodeType", "id", {...})
# 3. Customize parameters
# 4. Add industry-specific logic
# 5. Test with real data
Combining Patterns
- •Mix patterns for complex workflows
- •Use common patterns as building blocks
- •Adapt industry patterns to your domain
- •Layer security patterns on all workflows
Related Skills
- •01-core-sdk - Core workflow creation
- •06-cheatsheets - Pattern quick reference
- •08-nodes-reference - Node reference
- •02-dataflow - Database workflows
- •03-nexus - Workflow deployment
- •17-gold-standards - Best practices
Support
For workflow pattern help, invoke:
- •
pattern-expert- Workflow pattern selection and design - •
framework-advisor- Architecture decisions - •
testing-specialist- Pattern testing strategies