Langgraph Routing

---
name: langgraph-routing
description: Conditional edge routing and state-based transitions for LangGraph workflows
allowed-tools:
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:agentic-loops, skill-area:agent-planning-reasoning]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
  topics: [topic:event-driven-architecture]

---

# LangGraph Routing Skill

## Capabilities

- Design conditional edge routing in LangGraph
- Implement state-based transition logic
- Create dynamic routing functions
- Handle multi-path workflow branches
- Implement router nodes for complex decisions
- Design fallback and error routing paths

## Target Processes

- langgraph-workflow-design
- plan-and-execute-agent

## Implementation Details

### Routing Patterns

1. **Conditional Edges**: add_conditional_edges with routing functions
2. **Router Nodes**: Dedicated nodes for routing decisions
3. **State-Based Routing**: Routing based on state values
4. **LLM-Based Routing**: Using LLM to determine next node

### Configuration Options

- Routing function definitions
- Path mapping configurations
- Default/fallback routes
- Cycle detection settings
- Max iteration limits

### Best Practices

- Clear routing logic documentation
- Handle all possible states
- Implement fallback paths
- Avoid infinite cycles
- Use descriptive edge names

### Dependencies

- langgraph