cheatsheets

name	cheatsheets
description	Kailash cheatsheets — patterns, nodes, workflows, cycles, perf, security, saga.

Kailash Patterns - Quick Reference Cheatsheets

Comprehensive collection of quick reference guides, common patterns, and best practices for Kailash SDK development.

When to Use

Use when asking about quick tips, cheat sheet, quick reference, common mistakes, node selection, workflow patterns library, cycle patterns, production patterns, performance optimization, monitoring, security config, multi-tenancy, distributed transactions, saga pattern, custom nodes, PythonCode data science, ollama integration, directoryreader patterns, or environment variables.

Overview

This skill provides quick access to:

• Common workflow patterns and anti-patterns
• Node selection and usage guides
• Production-ready patterns
• Performance and optimization tips
• Security and enterprise patterns
• Integration cheatsheets

Quick Reference Guides

Essential Guides

• kailash-quick-tips - Essential tips for Kailash development
• common-mistakes-catalog - Common pitfalls and solutions
• node-selection-guide - Choosing the right nodes
• workflow-patterns-library - Comprehensive pattern library
• README - Cheatsheets overview

Node References

• admin-nodes-reference - Admin and management nodes
• asyncsql-advanced - AsyncSQL node patterns
• pythoncode-data-science - Data science with PythonCode
• directoryreader-patterns - File system patterns
• ollama-integration - Local LLM integration
• query-builder - Query construction patterns
• query-routing - Intelligent query routing

Cyclic Workflow Patterns

• cyclic-patterns-advanced - Advanced cyclic patterns
• cycle-aware-nodes - Cycle-aware node development
• cycle-debugging - Debugging cyclic workflows
• cycle-testing - Testing cyclic workflows
• cycle-state-persistence - State management in cycles
• cycle-scenarios - Real-world cycle scenarios
• multi-path-cycles - Multi-path cyclic patterns

Production & Enterprise

• production-patterns - Production-ready patterns
• production-readiness - Production checklist
• performance-optimization - Performance tuning
• monitoring-alerting - Monitoring and alerting
• resilience-patterns - Resilience and fault tolerance
• security-config - Security configuration
• multi-tenancy-patterns - Multi-tenant architectures

Enterprise Patterns

• distributed-transactions - Distributed transaction patterns
• saga-pattern - Saga pattern for long transactions
• enterprise-mcp - Enterprise MCP patterns
• a2a-coordination - Agent-to-agent coordination
• mcp-resource-subscriptions - MCP resource patterns

Development Tools

• custom-node-guide - Creating custom nodes
• developer-tools - Developer tooling
• node-initialization - Node initialization patterns
• env-variables - Environment variable management
• validation-testing - Validation and testing patterns
• visualization - Workflow visualization

Workflow Management

• workflow-composition - Composing complex workflows
• workflow-design-process - Design process guide
• workflow-api-deployment - Deploying workflows as APIs
• workflow-export - Export and import patterns

Integration Patterns

• data-integration - Data integration patterns
• integration-mastery - Advanced integration techniques

Quick Patterns

Basic Workflow

from kailash.workflow.builder import WorkflowBuilder
from kailash.runtime import LocalRuntime

workflow = WorkflowBuilder()
workflow.add_node("NodeType", "node_id", {"param": "value"})
runtime = LocalRuntime()
results, run_id = runtime.execute(workflow.build())

Common Node Selection

# Data processing
workflow.add_node("PythonCode", "transform", {"code": "..."})

# API calls
workflow.add_node("HTTPRequest", "api", {"url": "...", "method": "GET"})

# AI/LLM
workflow.add_node("LLMNode", "chat", {"model": os.environ["LLM_MODEL"], "prompt": "..."})

Cyclic Pattern

workflow.add_node("LoopNode", "loop", {"max_iterations": 5})
workflow.add_node("ProcessNode", "process", {})
workflow.add_connection("loop", "item", "process", "input")
workflow.add_connection("process", "output", "loop", "feedback")

CRITICAL Gotchas

Rule	Why
❌ NEVER use raw SQL	Use DataFlow instead
✅ ALWAYS call .build()	Before runtime.execute()
❌ NEVER use relative imports	Use absolute imports
❌ NEVER mock in Tier 2-3	Use real infrastructure
❌ NEVER train sklearn/torch directly	Use km.train(...) (skill 34-kailash-ml)
✅ Cap parallel worktrees at 3 concurrent Opus agents	Beyond 3, budget exhaustion & merge conflicts dominate

When to Use This Skill

Use this skill when you need:

• Quick reference for common patterns
• Solution to a specific problem
• Best practices for production
• Node selection guidance
• Performance optimization tips
• Security configuration help
• Multi-tenancy patterns
• Cyclic workflow help

Related Skills

• 01-core-sdk - Core SDK fundamentals
• 08-nodes-reference - Node reference documentation
• 17-gold-standards - Mandatory best practices

Support

For cheatsheet-related questions, invoke:

• pattern-expert - Pattern selection and usage
• decide-framework skill - Choose appropriate patterns for your use case