Menu
Workflow templates: finance, healthcare, logistics, manufacturing, retail, ETL, RAG, document processing, API.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Kailash DataFlow - zero-config data operations framework with automatic model-to-node generation and Data Fabric Engine. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', 'TDD with databases', 'external data sources', 'data products', 'db.source', 'db.product', 'db.start', 'fabric engine', 'source adapters', 'REST source', 'webhooks', or 'data fabric'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations.
Kailash Nexus - zero-config multi-channel platform for deploying workflows as API + CLI + MCP simultaneously. Use when asking about 'Nexus', 'multi-channel', 'platform deployment', 'API deployment', 'CLI deployment', 'MCP deployment', 'unified sessions', 'workflow deployment', 'production deployment', 'API gateway', 'session management', 'health monitoring', 'enterprise platform', 'plugins', 'event system', or 'workflow registration'. Also covers K8s integration: 'K8s probes', 'healthz', 'readyz', 'startup probe', 'ProbeManager', 'ProbeState', 'OpenAPI', 'openapi.json', 'OpenApiGenerator', 'security headers', 'CSRF middleware', 'CSRFMiddleware', 'SecurityHeadersMiddleware', 'middleware presets', 'Preset', or 'HSTS'.
Kailash Kaizen - production-ready AI agent framework with signature-based programming, multi-agent coordination, and enterprise features. Use when asking about 'AI agents', 'agent framework', 'BaseAgent', 'multi-agent systems', 'agent coordination', 'signatures', 'agent signatures', 'RAG agents', 'vision agents', 'audio agents', 'multimodal agents', 'agent prompts', 'prompt optimization', 'chain of thought', 'ReAct pattern', 'Planning agent', 'PEV agent', 'Tree-of-Thoughts', 'pipeline patterns', 'supervisor-worker', 'router pattern', 'ensemble pattern', 'blackboard pattern', 'parallel execution', 'agent-to-agent communication', 'A2A protocol', 'streaming agents', 'agent testing', 'agent memory', 'agentic workflows', 'AgentRegistry', 'OrchestrationRuntime', 'distributed agents', 'agent registry', '100+ agents', 'capability discovery', 'fault tolerance', 'health monitoring', 'trust protocol', 'EATP', 'TrustedAgent', 'trust chains', 'secure messaging', 'enterprise trust', 'credential rotation', 'trust verificati
Kailash cheatsheets: patterns, nodes, workflows, cycles, performance, security, multi-tenancy, saga, custom nodes.
Kailash dev guides: custom nodes, MCP, async, testing, deployment, RAG, security, monitoring, SDK internals.
SDK release and Git workflow guides for the Kailash Python SDK including PyPI publishing, CI/CD pipelines, documentation deployment, and Git workflows. Use when asking about 'deployment', 'release', 'PyPI publish', 'CI/CD', 'GitHub Actions', 'documentation deployment', 'TestPyPI', 'wheel building', 'version bump', 'changelog', 'Git workflow', 'Git branching', 'package release', or 'multi-package coordination'.
| name | workflow-patterns |
| description | Workflow templates: finance, healthcare, logistics, manufacturing, retail, ETL, RAG, document processing, API. |
Production-ready workflow patterns and templates for industry-specific use cases and common application patterns.
Use these patterns when asking about workflow examples, workflow templates, industry workflows, finance workflows, healthcare workflows, logistics workflows, manufacturing workflows, retail workflows, ETL workflows, RAG workflows, API workflows, document processing, business rules, or workflow patterns.
| Industry | File | Key Use Cases |
|---|---|---|
| Finance | workflow-industry-finance | Payment processing, fraud detection, risk assessment, compliance, trade settlement |
| Healthcare | workflow-industry-healthcare | Patient data, clinical decision support, insurance claims, HIPAA compliance |
| Logistics | workflow-industry-logistics | Order fulfillment, route optimization, shipment tracking, warehouse automation |
| Manufacturing | workflow-industry-manufacturing | Production planning, quality control, equipment monitoring, defect tracking |
| Retail | workflow-industry-retail | Order processing, inventory, pricing optimization, returns processing |
| Pattern | File | Key Use Cases |
|---|---|---|
| AI Document | workflow-pattern-ai-document | Classification, entity extraction, OCR, form processing |
| API Integration | workflow-pattern-api | API orchestration, retry logic, rate limiting, error handling |
| Business Rules | workflow-pattern-business-rules | Rule evaluation, decision tables, approval workflows |
| Cyclic | workflow-pattern-cyclic | Iterative processing, feedback loops, state machines, convergence |
| Data Processing | workflow-pattern-data | Validation, enrichment, aggregation, normalization |
| ETL | workflow-pattern-etl | Extraction, transformation, loading, incremental updates |
| File Processing | workflow-pattern-file | Bulk processing, monitoring, transformation, archive management |
| Project Management | workflow-pattern-project-mgmt | Task automation, status tracking, resource allocation, approvals |
| RAG | workflow-pattern-rag | Document indexing, vector search, context retrieval, answer generation |
| Security | workflow-pattern-security | Access control, audit logging, threat detection, incident response |
workflow.add_node("Extract", "extract", {"source": "..."})
workflow.add_node("Transform", "transform", {"logic": "..."})
workflow.add_node("Load", "load", {"destination": "..."})
workflow.add_connection("extract", "data", "transform", "input")
workflow.add_connection("transform", "output", "load", "data")
workflow.add_node("Embed", "embed", {"model": "text-embedding-ada-002"})
workflow.add_node("Search", "search", {"index": "vectors"})
workflow.add_node("Generate", "generate", {"model": os.environ["LLM_MODEL"]})
# Train → promote through registry tiers in one workflow (skill 34-kailash-ml is authority)
workflow.add_node("MLTrainingNode", "train", {"engine": "sklearn", "model_name": "churn", "task": "classification"})
workflow.add_node("MLRegistryPromoteNode", "promote", {"model_name": "churn", "tier": "staging"})
workflow.add_connection("train", "model_uri", "promote", "model_uri")
Each sub-file includes: overview, architecture, nodes used, configuration, example code, best practices, testing strategies.
| Rule | Reason |
|---|---|
| NEVER hardcode secrets | Use environment variables |
| ALWAYS validate inputs | At workflow boundaries |
| NEVER skip error handling | Required in production |
pattern-expert - Workflow pattern selection and designdecide-framework skill - Architecture decisionstesting-specialist - Pattern testing strategies