| name | cheatsheets |
| description | Kailash cheatsheets: patterns, nodes, workflows, cycles, performance, security, multi-tenancy, saga, custom nodes. |
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
Node References
Cyclic Workflow Patterns
Production & Enterprise
Enterprise Patterns
Development Tools
Workflow Management
Integration Patterns
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
workflow.add_node("PythonCode", "transform", {"code": "..."})
workflow.add_node("HTTPRequest", "api", {"url": "...", "method": "GET"})
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
Support
For cheatsheet-related questions, invoke:
pattern-expert - Pattern selection and usagedecide-framework skill - Choose appropriate patterns for your use case
